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Mar 24

BCG Shares Their Insights On What Sets GenAI’s Top Performers Apart

BCG Shares Their Insights On What Sets GenAI's Top Performers Apart

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The top 10% of enterprises have one or more GenAI applications in production at scale across their organizations. 44% of these top-performing organizations are realizing significant value from scaled predictive AI cases. 70% of top performers explicitly tailor their GenAI projects to create measurable value.

Boston Consulting Group (BCG) estimates that an organization with $20 billion in revenue can achieve gains of $500 million to $1 billion in profit using GenAI, with nearly a third of those gains coming in the first 18 months. Their recent analysis of what sets GenAI’s top performers apart, What GenAI’s Top Performers Do Differently, looks at the factors that most differentiate enterprises excelling with GenAI today.

What further differentiates these top performers from others is how they’re looking to use GenAI to redefine the functional areas of their organizations. They’re far more likely to have a solid foundation in predictive AI and four times more likely to increase their investment in AI and digital-first strategies and technologies.

Half of the enterprise leaders BCG interviewed say their organizations are testing GenAI in pilot projects today but have not achieved full-scale implementation. The remaining 40% haven’t taken any action on GenAI yet.

BCG Shares Their Insights On What Sets GenAI's Top Performers Apart

Source: Boston Consulting Group, What GenAI’s Top Performers Do Differently.

What Sets The Top 10% Apart

Two-thirds of GenAI’s top-performing enterprises aren’t digital natives like Amazon or Google but instead leaders in biopharma, energy, and insurance. BCG found that a U.S.-based energy company launched a GenAI-driven conversational platform to assist frontline technicians, increasing productivity by 7%. A biopharma company is reimagining its R&D function with GenAI and reducing drug discovery timelines by 25%.

Top GenAI performers have their greatest lead over peers across five main capabilities. These capabilities include having a clear link to business performance, modern technology infrastructure, strong data capabilities, leadership support, and a grounding in responsible AI. The steep curves shown in the graphic below suggest how these five most differentiated capabilities are essential for successful GenAI adoption at scale.

BCG Shares Their Insights On What Sets GenAI's Top Performers Apart

Source: Boston Consulting Group, What GenAI’s Top Performers Do Differently.

Key takeaways from BCG’s analysis of GenAI top performers 

Top performers excel at creating strong links between GenAI initiatives and business value. Seven in ten enterprises who are high achievers know how to build a business case for their GenAI projects and pilots. They’re focused on measuring results and quantifying value. BCG found that in a typical GenAI portfolio, 60% of the initiatives are focused on reducing costs and 40% on increasing revenue.

An all-in mindset when it comes to maintaining and growing a modern technology infrastructure. GenAI top-performing enterprises are three times more likely to already have a modular, modern IT tech stack and supporting infrastructure in place. They’re focused on being prepared to develop new, GenAI-powered services on their current and future AI models while supporting DevOps. BCG says top performers are 1.5 times more likely to focus on building the GenAI stack internally over the coming three years, underscoring their desire to make the technology a core capability for the organizations.

Are pursuing and advanced data strategy that includes unstructured data. GenAI top performers are two times more likely to have data pipelines and data management practices in place to streamline data sourcing and storage. They’re also more likely to have unstructured data expertise. BCG observes that an advanced data strategy “is a critical element of GenAI, given that models are only as strong as the data on which they’re trained.”  Organizations have found success with less mature skills in these areas, although it may take longer as they need to address infrastructure and data strategy gaps or shortcomings.

Strong leadership support for innovation, including the willingness to champion GenAI. Senior executives’ support and prioritizing an innovative culture are the most differentiating factors in defining GenAI’s high performers. Gen AI high performers who are scaling use cases are three times more likely than no-action companies to have leaders who prioritize innovation and actively support GenAI. BCG notes that these leaders often have a deep understanding of the technology’s potential impact on their industry, and they are publicly committed to ensuring that the organization capitalizes on it in new ways that generate value. “Visible support and commitment from our leadership team has been crucial, as it provided the freedom to experiment and deal with failures along the way,” said the head of data and analytics at a global media company referenced in BCG’s report.

Have responsible AI guidelines, guardrails and processes in place. Top-performing enterprises are more likely to have responsible AI frameworks, guidelines, and guardrails in place. BCG observes that a common trait top-performing enterprises have is ensuring their AI systems and workflows put humans in the loop and use only factual data. “Our research shows that leading companies are far more likely to have developed guardrails, guidelines, and policies to ensure that they follow the principles of responsible AI. In the findings, the share of scaling companies that are cautious about the potential misuse of GenAI and taking proactive measures to address these risks is 20 percentage points higher than the share of companies taking no action in this area,” write BCG’s researchers.

Mar 10

Gartner Predicts Solid Growth for Information Security, Reaching $287 Billion by 2027

Gartner Predicts Solid Growth for Information Security, Reaching $287 Billion by 2027

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AI continues to become more weaponized with nation-state attackers and cybercrime gangs experimenting with LLMs and gen AI-based attack tradecraft. The age of weaponized LLMs is here.

At the same time, multi-cloud-based infrastructures more businesses rely on are coming under attack. Exfiltrating any identity data available from endpoints and then traversing a network to gain more access by collecting more credential data is often the goal.

Cyberattacks that combine AI and social engineering are just beginning  

Attackers have a version of human-in-the-middle, too, but their goal is to unleash AI’s offensive attack capabilities within social engineering campaigns. Last year’s social engineering-based attacks on MGM, Comcast, Shield Healthcare Group, and others serve as a case in point.

CrowdStrike’s 2024 Global Threat Report finds that cloud intrusions jumped 75% last year. There was a 76% increase in data theft victims named on data leak sites and a 60% increase in interactive intrusion campaigns. Worse, 75% of attacks were malware-free, making them difficult to identify and stop. There was also a 110% YoY increase in cloud-conscious cases.

PwC’s 2024 Digital Trust Insights Report finds that 97% of senior management teams have gaps in their cloud risk management plans. 47% say cloud attacks are their most urgent threat. One in three senior management teams is prioritizing cloud security as their top investment this year.

Gartner sees a more complex threatscape driving growth

Gartner’s Forecast: Information Security and Risk Management, Worldwide, 2021-2027, 4Q23 Update report predicts the information security and risk management market will grow from $185 billion in 2023 to $287 billion in 2027, attaining a compound annual growth rate of 11% in constant currency.

Nation-state attackers are picking up the pace of their stealthy AI arms race. They’re looking to score offensive first victories on an increasingly active digital battlefield. Gartner predicts that in 2027, 17% of the total cyberattacks and data leaks will involve generative AI.

Another key assumption driving Gartner’s latest forecast is that by 2025, user efficiency improvements will drive at least 35% of security vendors to offer large language model (LLM)-driven chat capabilities for users to interact with their applications and data, up from 1% in 2022.

Gartner has also factored in the surge in cloud attacks and the continued growth of hybrid workforces. One of their key assumptions driving the forecast is that “by the end of 2026, the democratization of technology, digitization, and automation of work will increase the total available market of fully remote and hybrid workers to 64% of all employees, up from 52% in 2021.”

Gartner Predicts Solid Growth for Information Security, Reaching $287 Billion by 2027

Source: Gartner, Forecast Analysis: Information Security and Risk Management, Worldwide, Published February 29, 2024

Source: Gartner, Forecast Analysis: Information Security and Risk Management, Worldwide, Published 29 February 2024

Key takeaways from Gartner’s forecast

Market subsegments predicted to see the most significant growth through 2027 include the following:

  • Gartner has high expectations for Zero Trust Network Access (ZTNA) growth, stating the worldwide market was worth $575.7 million in 2021 and predicting it will soar to $3.99 billion in 2027, attaining a 31.6% CAGR in the forecast period.
  • Identity Access Management (IAM) is predicted to grow from $4 billion in 2021 to $11.1 billion in 2027, attaining a 17.6% CAGR. Identity Governance and Administration software is predicted to grow from $2.8 billion in 2021 to $5.77 billion in 2027, attaining a 12.8% CAGR.
  • Endpoint Protection Platforms (EPP) are predicted to grow from $9.8 billion in 2021 to $26.9 billion in 2027, achieving a 17.2% CAGR.
  • Threat Intelligence software is predicted to grow from $1.1 billion in 2021 to $2.79 billion in 2027, growing at a 15.6% CAGR through the forecast period.
  • Cloud Access Security Brokers (CASB) is predicted to grow from $928M in 2021 to $4.75 billion in 2027, attaining a CAGR of 30.2%. Gartner believes that the market share of cloud-native solutions will continue to grow. They are predicting that the combined market for cloud access security brokers (CASBs) and cloud workload protection platforms (CWPPs) will reach $12.8 billion in constant currency by 2027, up from $4.6 billion in 2022. Gartner continues to also see strong demand for cloud-based detection and response solutions that include endpoint detection and response (EDR) and managed detection and response (MDR).

Feb 17

IT And Marketing Show Strongest Interest In Adopting Gen AI First

IT, Marketing Show Strongest Interest In Adopting Gen AI First

  • Currently, 16% of organizations have implemented generative AI in production, while 44% are piloting it for potential applications.
  • Interest in deploying generative AI for production applications saw a fivefold increase from the first to the fourth quarter of 2023.
  • Healthcare, manufacturing, and education are the three industries most actively pursuing generative AI adoption.
  • A majority of organizations, 63%, deem CRM data critical to their generative AI initiatives.

These and many other insights are from Dresner Advisory Services‘ recent Generative AI Report. The advisory firm surveyed its research community of over 8,000 organizations and vendors’ customer communities. The study is global in scope, with 50% of respondents from North America, 26% from EMEA, 19% from Asia/Pacific and 6% from Latin America. Dresner’s report stands out for its in-depth and nuanced analysis of gen AI adoption across global organizations.

News about generative AI has captivated technology leaders. Demand for gen AI-related news and insights dominates many organization leaders’ time. 29% are following gen AI news updates constantly, and 30% say they often check in and see what’s new in gen AI, 24% regularly check the news. Overall, 72% of analytics and business intelligence (BI) professionals have made gen AI news a priority. North American respondents are the most diligent with constantly checking gen AI news, reflecting the region having the highest production use of gen AI.

Key takeaways from the report include the following:

Professionals in IT and marketing report plans to be the first adopters of generative AI, with 44% of IT and 36% of marketing professionals saying adopting gen AI is a primary focus. Operations/ production, sales, and C-level executives also show significant interest in adopting gen AI early. Dresner’s report states that “finance and human resources least often indicate overall interest, exceeding a majority only when aggregating their primary, secondary, and tertiary responses.”

gen ai

63% of organizations consider CRM data as critical or very important to generative AI. Finance and accounting data is considered the next most important, followed by call center and supply chain data. Dresner’s analysis found that respondents least often expect generative AI to leverage workforce (HR) data. Organizations are wary of using HR data due to privacy concerns combined with the stringent standards and safeguards on data security and its use across regulated industries today.

gen ai

Gen AI adoption across organizations accelerated rapidly in 2023. From 1Q23 to 4Q23, production use increased nearly fivefold, experimenting increased by 70%, and planned use in 12 months increased by 157%. Dresner’s research results reflect a major shift in generative AI prioritization last year. The report’s authors contend that implementation activity and funding were primarily from autonomous, decentralized sources, not from C-level mandates or sponsors, as it occurred late in fiscal years and into annual budget cycles.

gen ai

Consumer services lead gen AI production levels at 43%. Technology, business services, and healthcare have the next three highest levels of gen AI production in use today. The education industry reports the highest experimentation rate at 67%, closely followed by healthcare at 62%, while government trails at 50%. The report notes that the government also reports the highest levels for planned use beyond 12 months and no planned use.

gen ai

40% of organizations consider it critical to achieve productivity and efficiency gains from gen AI. One in three (30%) say improving customer experience and personalization is the next most critical priority, followed by improved search quality and decision-making (26%).

gen ai

Data privacy concerns are considered critical to 46% of organizations pursuing gen AI initiatives today. Legal and regulatory compliance, the potential for unintended consequences, and ethics and bias concerns are also significant. Less than half of respondents—46% and 43%, respectively—consider costs and organizational policy important to generative AI adoption.

gen ai

 

Feb 11

Top 10 Insights From Forrester’s State of Generative AI in 2024 Report

Top 10 Insights From Forrester's State of Generative AI in 2024 Report

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Over 90% of enterprise AI decision-makers have concrete plans to adopt generative AI (gen AI) for internal and customer-facing use cases. Nearly half, 47%, say productivity gains are the primary goal. Those anticipated gains are closely followed by greater innovation (44%) and cost efficiency (41%). One in three, or 34%, expect AI to deliver greater revenue growth.

Productivity gains are happening faster than enterprises can track because Shadow AI is growing quicker than many IT and security teams anticipated. OpenAI says their enterprise adoption is soaring, with over 80% of Fortune 500 companies’ workers and departments having accounts.

Enterprise workers are achieving a 40% performance boost thanks to ChatGPT based on a recent Harvard study. A second study from MIT discovered that ChatGPT reduced skill inequalities and accelerated document creation times while enabling enterprise workers to be more efficient with their time. Seventy percent haven’t told their bosses about it.

Forrester: A Wave Of Disruption Is Coming

Forrester’s recent report, The State of Generative AI, 2024, warns enterprises not to discount the impact of generative AI on their operations and to start planning for greater experimentation, governance, and security now.

Get ready for the challenges of defining and managing bring your own AI (BYOAI) as workers are inventing and adopting gen AI tools and apps faster than IT or security can keep up. Forrester advises that enterprises need to have forward-thinking governance and security guardrails in place before launching their AI-based apps.

With nearly every enterprise app and platform integrating gen AI into its feature set, it’s up to IT, security, and senior management to have an AI plan that can adapt and flex fast to the fast-growing feature set gen AI is delivering.

Enterprise AI leaders also need to define where they stand on the controversial and complex state of model training data. Forrester says that questions regarding the quality of training data using copyright material, model and data bias, and frequent “hallucinations” by models.

“In 2024, as organizations embrace the generative AI (genAI) imperative, governance and accountability will be a critical component to ensure that AI usage is ethical and does not violate regulatory requirements,” writes Forrester in their cybersecurity predictions late last year. “This will enable organizations to safely transition from experimentation to implementation of new AI-based technologies,” the report continues.

Top 10 Insights From Forrester’s State of Generative AI

The ten most valuable insights from Forrester’s State of Generative AI report provide a comprehensive overview of the current and future landscape of generative AI. Noteworthy for its balance between opportunities and risks, the report explains the hurdles in front of enterprises looking to gain value from gen AI now and in the future.

Here are the top 10 insights from the report:

Gen AI shows strong potential to improve and scale enterprise operations. Forrester is optimistic regarding the potential of gen AI to increase productivity and deliver measurable business value. “Forrester expects that gen AI will add convenience to and remove friction from a variety of experiences, reshape jobs in ways we are only beginning to contemplate and disrupt organizations and industries,” writes Forrester’s research team in the report. The report explains that there are three broad tiers of generative AI suppliers, further supporting the market’s expansion and growth.

Top 10 Insights From Forrester's State of Generative AI in 2024 Report

Source: Forrester, The State of Generative AI, 2024 report. January 26, 2024

 

Large Language Models will continue to dominate the gen AI narrative. Large language models (LLMs), including Anthropic, Google, Meta, and OpenAI’s GPT series, will continue to dominate the gen AI landscape. Forrester notes that significant data and infrastructure requirements make the task of creating and maintaining an LLM difficult for companies considering competing in the market. Open-source LLMs are redefining the market, a point Forrester touches on briefly.

Gen AI is becoming part of planning cycles in enterprises: Forrester found that over 90% of global enterprise AI decision-makers have definite plans to implement generative AI. Internal use cases are dominating the planning cycles of enterprise AI leaders today.

Top 10 Insights From Forrester's State of Generative AI in 2024 Report

Source: Forrester, The State of Generative AI, 2024 report. January 26, 2024

Overcoming technical skills shortages and integration challenges stand in the way of achieving benefits. A third of enterprise AI leaders say that lack of technical skills in their organizations is the single greatest roadblock to their gaining the benefits they’re looking for from gen AI. Twenty-eight percent say they’re having difficulty integrating gen AI into their existing tech stacks and infrastructure. The potential to gain significant benefits from gen AI motivates enterprise AI leaders to look for new ways to overcome technical skills shortages and find new ways to integrate gen AI into their infrastructure.

Top 10 Insights From Forrester's State of Generative AI in 2024 Report

Source: Forrester, The State of Generative AI, 2024 report. January 26, 2024

Ethical and safe gen AI use will require new cybersecurity and governance approaches. Enterprises need to decide how they approach the most challenging and controversial aspects of LLMs, gen AI, and the future of AI at scale in their companies now rather than later. The core message of Forrester’s report is for enterprises not to procrastinate but to start making plans now for their stance on the issues of model bias, data security, regulatory compliance, and ethics of model training.

Weaponized LLMs are a fact of life for every enterprise looking to adopt these technologies today. There’s also the growing threat of intellectual property and confidential data being accidentally shared with LLMs via ChatGPT and comparable chatbots. The intensity cybersecurity providers are putting behind this problem makes it one of the fastest evolving areas in the industry today.

While not mentioned by Forrester in their report, these vendors are defining the state of the art when it comes to protecting confidential data being entered into LLMs. Cisco, Ericom Security by Cradlepoint’s Generative AI isolation, Menlo Security, Nightfall AI,  Wiz, and Zscaler have all developed and launched solutions to reduce the threat of confidential data making it into LLMs via chatbots.

The use of a virtual browser that is separate from an organization’s network environment in the Ericom Cloud distinguishes Ericom’s Generative AI Isolation. Data loss protection, sharing, and access policy controls are applied in the cloud to prevent confidential data, PII, or other sensitive information from being submitted to the LLM and potentially exposed.

“Generative AI websites provide unparalleled productivity enhancements, but organizations must be proactive in addressing the associated risks,” said Gerry Grealish, Vice President of Marketing Ericom Cybersecurity Unit of Cradlepoint. “Our Generative AI Isolation solution empowers businesses to attain the perfect balance, harnessing the potential of generative AI while safeguarding against data loss, malware threats, and legal and compliance challenges.”

Early adopters are implementing gen AI in a wide variety of use cases, ranging from operations to customer engagement and product development. Forrester notes that they’re seeing organizations use knowledge management bots to accelerate workflows, automate tasks, generate new ideas, and drive innovation across a broad base of use cases. Early adopters are also piloting gen AI for diverse use cases across operations, customer engagement, and product development. Forester emphasizes that for external use cases, they’re seeing enterprises adopt a main-in-the-middle workflow to strengthen model training with human intelligence – and avert potential errors in model response.

Top 10 Insights From Forrester's State of Generative AI in 2024 Report

Source: Forrester, The State of Generative AI, 2024 report. January 26, 2024

Internal use cases precede external use cases as enterprises look to gain expertise in controlled environments. Companies will initially focus on internal use cases for generative AI to refine their models before slowly expanding to customer-facing applications, employing heavy human-in-the-loop management. Forrester is seeing gen AI being used internally to drive employee productivity and workflow optimization gains first. The top three use cases of employee productivity, knowledge management, and software development are all focused on internal improvements.

Legal and intellectual property uncertainty will continue to surround gen AI. Forrester implies there’s going to be an increasingly complex, controversial legal landscape regarding the data models are trained on, especially when it comes to copyrighted content.

Privacy and regulatory concerns are going to continue influencing adoption. Forrester is seeing enterprises in heavily regulated industries exercising extreme caution to protect company and customer data, with some even banning tools like ChatGPT over concerns about data protection and regulatory backlash.

Enterprises need to get a sense of urgency about preparing for gen AI governance and experimentation. Having a clear vision of how they’re going to adopt gen AI is essential if enterprises are going to succeed in governing these new technologies at scale. The combination of growing and recruiting in-house skills, having a solid plan for BYOAI, and defining guardrails for internal use cases are all needed to avoid being blindsided by risks.

Jan 24

Gartner Predicts AI Software Will Grow To $297 Billion By 2027

Gartner Predicts AI Software Will Grow To $297 Billion By 2027

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Predicting global spending on AI software will surge from $124 billion in 2022 to $297 billion in 2027, Gartner forecasts the market will grow at a 19.1% compound annual growth rate in the next six years.

Generative AI (GenAI) software spending is expected to skyrocket from 8% in 2023 to 35% by 2027. GenAI’s rapid growth is attributed to enterprise software vendors integrating AI tools into current and future releases, streamlining the widespread adoption of GenAI-based features and new apps, emerging as the fastest-growing category of AI software.

Gartner predicts the integration of AI tools will be most prevalent in marketing, product design, and customer service, reflecting a shift towards more personalized and efficient operations. The research firm provides an extensive analysis of AI software’s growth areas and opportunities in their recently published report, Forecast Analysis: Artificial Intelligence Software, 2023-2027, Worldwide (client access required). The forecast is based on over 500 AI use cases sourced from Gartner’s AI use case prisms and related research.

What Driving The AI Market Boom?

Key assumptions that are driving the forecast include the prediction that greater than 70% of independent software vendors (ISVs) will have embedded GenAI capabilities in their enterprise applications by 2026, a major jump from fewer than 1% today.

Thirty-nine percent of worldwide organizations will be in the experimentation phase of Gartner’s AI adoption curve by 2025, with 14% being in the expansion phase. Gartner predicts that by 2027, 36% of organizations in the experimentation phase will also start to adopt use cases with high business value but low time-to-financial impact (TOFI).

Another factor driving long-term market growth is how spending on AI software increases with organizational maturity. Gartner notes that organizational maturity is lower today versus the higher hype levels and market interest in AI technologies. As organizations gain greater maturity with AI experimentation, spending will increase.

Gartner Predicts AI Software Will Grow To $297 Billion By 2027

Source: Gartner, Forecast Analysis: Artificial Intelligence Software, 2023-2027, Worldwide

“We expect to see ongoing demand for more AI enhancements within software applications and more opportunities for providers to deliver software to build AI. However, do not expect these markets to become saturated (where supply outstrips demand) during the forecast period,” Gartner’s analysts write in the forecast analysis.

Application areas growing the fastest

Gartner predicts AI spending on financial management system (FMS) components will be the largest application market overall. FMS supports the office of finance with capabilities for forecasting, planning, cash application and collections, balance reconciliation, and others.

FMS vendors are doubling down on AI already to provide proven productivity and optimization support, integrating AI-based features in their apps and platforms. AI’s inherent advantages quickly lead to quantified performance and productivity gains with FMS systems, which are table stakes for building a solid business case for potential customers.

Digital commerce applications are the highest-growth AI application market. Digital commerce applications are designed to streamline commerce operations and related areas, including optimization, customer segmentation, image categorization, and others. Gartner defines the AI capabilities in digital commerce to include personalization, automated execution, and content generation.

Gartner Predicts AI Software Will Grow To $297 Billion By 2027

Source: Gartner, Forecast Analysis: Artificial Intelligence Software, 2023-2027, Worldwide

Predicting Generative AI’s Growth

Gartner is predicting that GenAI will eventually become a cornerstone of all AI software spending, reaching 35% of worldwide revenues by 2027.

The report’s authors point to the proliferation of AI copilots being integrated into a wide variety of enterprise systems as a primary catalyst driving this area of the market’s growth. Copilot systems are in use today within email systems, customer support chatbots, and a wide variety of marketing applications, with content creation and personalization vendors fast-tracking copilots into their apps and platforms.

One of the many data points that support the optimistic growth forecast for GenAI is Microsoft’s success with their Microsoft Dynamics 365 Copilot, launched in March of last year. Since then, more than 130,000 organizations have experienced copilot capabilities in Microsoft Dynamics 365 and Microsoft Power Platform.

Gartner Predicts AI Software Will Grow To $297 Billion By 2027

Source: Gartner, Forecast Analysis: Artificial Intelligence Software, 2023-2027, Worldwide

Large Language Models (LLMs) are the growth catalyst natural language platforms need

Gartner is predicting that the data science and AI platform market will see the greatest amount of software spending in the forecast period. They’ve defined the market as including machine learning (ML) platforms and cloud AI developer services. “The data science and AI platforms market is accelerated by the growth of AI and the democratization of technology, where capabilities like ease of use, workflow, collaboration, and deployment provide support for citizen data scientists,” writes Gartner’s analysts in the report.

The leading AI platforms seeing the greatest growth are natural language technologies (which include LLMs), data science and AI platforms, computer vision platforms, and analytics and BI platforms. LLMs will be the fuel that keeps natural language technology-based platforms growing for the next three years. They’re the emerging workhouses of the AI software market.

Gartner Predicts AI Software Will Grow To $297 Billion By 2027

Source: Gartner, Forecast Analysis: Artificial Intelligence Software, 2023-2027, Worldwide

 

Apr 19

FinancialForce Unleashes Spring ’23 Release, Strengthening Opportunity-to-Renewal

Finding new ways to improve opportunity-to-renewal is core to any services business’s growth.

FinancialForce has long bet its business on the belief that it could streamline opportunity-to-renewal for people- and software-centered businesses better than any other vendor. In delivering their Spring ’23 release, they’re proving how adept they are at delivering new features on a faster release cadence of three major releases a year. Out of its workforce of 1,000 people, FinancialForce has 400 full-time employees in DevOps, engineering, product management, and quality and nearly 100 outside resources in R&D.

FinancialForce’s overarching goal with the Spring ’23 release is to strengthen the customer’s ability to excel at opportunity-to-renewal. The feature refresh for Spring ’23 includes 18 different areas of their platform, with the most, eight, being in Services CPQ. Dan Brown, Chief Product, and Strategy Officer at FinancialForce, says, “Opportunity-to-renewal is core to companies that deliver services. It’s an area that has been dramatically underserved by classic vendors in this space. Most are fairly product-centric, and that tends to hold companies that are service-oriented back.”

Services-as-a-Business is gaining traction

FinancialForce’s Spring ’23 release shows how Services-as-a-Business is closing gaps and improving the opportunity-to-renewal process. Tight labor markets, spiraling costs and prices due to inflation, and blind spots in opportunity-to-renewal cycles continually jeopardize services revenue. As a result, professional services and software companies relying on service revenue risk losing Annual Recurring Revenue (ARR) and seeing reduced Customer Lifetime Value for every account. The Spring ’23 release provides a more granular, 360-degree view across eight core areas of the opportunity-to-renewal process to help services businesses meet new growth challenges.

“Our new Spring ’23 release is designed to give organizations the kind of certainty they need in these very uncertain economic times,” said Scott Brown, President, and Chief Executive Officer at FinancialForce. “Given the pace at which market and business conditions change, services businesses need confidence in their ability to manage estimates, skills and resources, and solve complex problems. This new release gives organizations a complete, customer-centric view of their business to turn continuous disruption into a competitive edge.”

FinancialForce Spring '23 Release

FinancialForce’s Spring ’23 release doubles down in the areas of Service CPQ and Resource Management, which are the areas where the majority of new features have been added in the Spring ’23 release.

Improving Services CPQ process performance protects margins

FinancialForce is prioritizing Services CPQ, first introduced in the Winter ’22 release, to help customers get more in control of their margins and time management. The number and depth of new features in this area and Dan Brown’s insights into how popular Services CPQ has become with enterprise accounts demonstrate that prioritization. FinancialForce’s enterprise accounts are adopting Services CPQ to save time during sales cycles by providing their prospects with the visibility to identify resources available for quoting work, their billable rate, skills, and previous experience.

Dan Brown said that “in (quote) estimation, you now can reach into your PSA (Professional Services Automation) system and identify the resource that you’re going to quote, what’s their billable rate, what’s their skills, what’s their capabilities. A big issue our customers have is that the As Quoted versus the As Delivered are almost always materially very different.”

He continued, emphasizing, “And that’s where you end up with margin erosion, that’s where you end up with revenue leakage for our customers. Now with Services CPQ, the As Quoted and As Delivered features are tightly linked together. And that has driven enormous improvements.”

Scott Brown added, “When I was a customer, this was a big pain point. For me, the capability to connect your pre-sales activities to your post-sale delivery is a real game changer for us.”

Underscoring how vital Services CPQ is to FinancialForce’s opportunity-to-renewal strategy, the Spring ‘23 Customer Overview notes that “with usability improvements in Services CPQ, support for additional pricing and costing scenarios, and streamlined estimate export for correct Statements of Work, services teams will be able to create accurate and competitive proposals faster, leading to higher win rates on projects, with much lower risk profiles.”

FinancialForce Unleashes Spring '23 Release, Strengthening Opportunity-to-RenewalAmong the many enhancements to Services CPQ are usability enhancements to the Estimate Builder, helping to reduce errors in As Quoted and As Delivered Results.

New features to optimize resources and projects

Additional goals of the spring ’23 release are to provide customers with improved workflows for optimizing resources and streamlining project management. Given how every professional services firm and software company today is under pressure to continually find new ways to optimize resources and be more done with less, the timing of Resource Optimizer Enhancements and introducing Resource Manager Work Planner is excellent. FinancialForce allows assigning multiple resources to project enhancements, integrating with MS Outlook and Google Calendar, as well as mass deletion of pass utilization results. FinancialForce also delivers task-based scheduling of held resource requests.

FinancialForce Unleashes Spring '23 Release, Strengthening Opportunity-to-Renewal

The Spring ’23 release is designed to help enterprises optimize resources from small-scale to multi-location projects by adding Resource Work Planner and Enhanced Skills Maintenance that can scale across multiple global locations.

How FinancialForce’s Spring ’23 Release Strengthens Opportunity-to-Renewal

“This new release gives organizations a complete, customer-centric view of their business to turn continuous disruption into a competitive edge,” remarked Scott Brown during a recent briefing. FinancialForce aims to help services businesses more efficiently monetize their time and resources by concentrating their development efforts across opportunity-to-renewal.

The release shows how services companies are looking to real-time financial analytics, including new risk management features, as guardrails to keep their businesses on track to margin and profit goals. The Spring ’23 release shows FinancialForce’s view of the opportunity-to-renewal process and what strengths it can offer customers, from a new Scheduling Risk Dashboard that provides early intervention and project course corrections in real time, to streamlined estimate exports for accurate Statements of Work (SOWs).

The following table uses the opportunity-to-renewal process as a framework to put the new release into context. It compares each phase of the opportunity-to-order process, how FinancialForce defines their role, how the Spring ’23 release strengthens each area, what the people and software-oriented benefits are, along with their leading customer references. You can also download a copy of the Opportunity-to-Renewal Process comparison here.

FinancialForce Spring '23 Release

Sep 7

FinancialForce Services-as-a-Business Is What Their Customers Need To Drive Growth

services, FinancialForce services-as-a-business

Service businesses must keep finding new ways to add value to existing clients while removing barriers that slow growth. Overcoming the challenges of outdated HR planning and human resource management (HRM), contract management, and CRM systems are table stakes for staying competitive.

FinancialForce’s Summer 22 release aims to turn those weaknesses into strengths with one of the most comprehensive releases they’ve had lately. “Organizations continue to be buffeted by market disruptions, from spiraling inflation to new COVID variants and unanticipated supply chain issues,” said Scott Brown, President and Chief Executive Officer of FinancialForce. “Our new Services-as-a-Business approach delivers the automation, intelligence, and innovation that services organizations need to become more agile so they can expertly turn disruption into opportunity.”

Improving Opportunity-to-Renewal Is Key  

FinancialForce’s Summer 2022 release reflects how services businesses need to gain greater visibility and control across to their opportunity-to-renewal process while growing more resilient to spiraling costs, uncertain supply chains, and chronic labor shortages. They need to take on these challenges and keep growing. FinancialForce believes its Business-as-a-Service unified platform can strengthen services’ traditionally weak areas (integrated HR, CRM, & contract management) without giving up on how fast they can react to new opportunities.

CEOs and COOs running several leading professional services firms spoken with recently say that tight labor markets, rising prices, and blind spots in the opportunity-to-renewal cycles are hurting revenue. As a result, they’re seeing a drain in Annual Recurring Revenue (ARR) and Customer Lifetime Value at risk. They also see that the blind spots in Contract Management, Configure, Price & Quote (CPQ), Resource Management, and Financial Planning & Analysis (FPA) across opportunity-to-renewal grow wider the more diverse their client bases become. What’s needed is a 360-degree view of the opportunity-to-renewal process that encompasses every aspect of service operations, from sales to delivery to customer success management, financial management, and planning.

FinancialForce Services-as-a-Business

FinancialForce’s Summer 22 release introduces Business-as-a-Service to bridge the gaps in the opportunity-to-renewal process, improving customer experiences, and driving faster growth by enabling greater real-time collaboration and visibility organization-wide.

Skills Matching & Scheduling Speed Is A Services Killer App

In the Summer 22 Release, FinancialForce strikes at the heart of what challenges services businesses face the most regarding getting staffing right. Skills matching is new in the release, providing Resource Managers with the insights they need to identify skills related to open roles as either Essential or Desirable. The goal is to bring greater accuracy and speed into the assignment process to control for costs, usage rates, and margin impacts while assigning associates to one project versus another.

FinancialForce Services-as-a-Business

Optimizing project schedules and seeing potential scheduling conflicts in real-time helps improve scheduling efficiency by identifying potential project conflicts early and alleviating them by balancing available hours.

A New Streamlined UX Pays Off For Services CPQ 

The Summer 22 release marks the first time FinancialForce ERP Cloud and Professional Services (PS) Cloud run entirely on the Salesforce Lightning Experience (LEX). During the FinancialForce analyst briefing, Heidi Minzner, Vice President, Product Management (ERP Cloud) at FinancialForce, demonstrated how users could create, manage and update line-level data on requisitions and purchase orders in a single view. Additionally, LEX is evident across the entire platform.

Of the many improvements announced in the Summer 22 release, updates to Services CPQ are noteworthy. The updated Services CPQ interface built on LEX has streamlined estimates creation and provides options for defining date-driven rates. Reflecting how services businesses need more role management capabilities, the Summer 22 release can enable role requests from templates and also supports pass-through of needed skills.

FinancialForce Services-as-a-Business

Services’ CPQ improvements are based partly on the platform’s flexibility LEX provides.

William Spice, Senior Director of Product Management says that Services CPQ and Customer Success Cloud are born in LEX, providing FinancialForce with the flexibility of using the latest Salesforce visual UI to deliver greater simplicity of workflows. “Services CPQ shows us extending the footprint across the whole services lifecycle, allowing our customers to build up a range of different estimates for professional services work, widen the selling and opportunity phase, and then seamlessly be able to transition these into a delivery model,” William said.

“Customer Success Cloud is really focused on making it simple and automatic to create playbooks, which are means for anyone across the organization to help ensure that we’re treating our customers with all the respect and impact they would expect from us. And finally, performance to scale sees us continuing to invest and make sure that our applications scale faster than any of our customers can, and focusing on enterprise-level integrations like linking out of the box with JIRA and Concur, for example,” William concluded.

Improving Opportunity-to-Renewal With More Intelligence

Services CPQ’s improvements reflect revenue managers’ need for greater visibility into their sales pipelines and more insights into the propensity to close by client. FinancialForce takes that a step further by providing insights into which factors are most and least affecting opportunity-to-renewal performance.

Current FinancialForce customers have access to dashboards that deliver utilization performance and staffing efficiency and can be configured to provide revenue forecasting. Also announced is a project burn-up dashboard that visualizes work completed and enables teams to be more cost-efficient during project delivery.

Improving Services Revenue With Real-time Visibility And Control

Business-as-a-Service is predicated on the design goal of enabling any business to migrate into providing services profitably. As a result, product-centric companies’ transition to services is commonplace. Nearly every major equipment manufacturer is now selling the value delivered by their machinery as a service.

The many improvements FinancialForce has made in their platform’s Financial Planning & Analysis (FP&A) areas reflect how this area is core to getting service revenue right. Of the many announcements made in this area of their platform, highlights include providing FP&A teams with the option of performing headcount planning at the resource level to better understand how compensation adjustments will impact future budgets. In addition, flexible budget templates for improving headcount planning alignment with company goals and objectives are now included.

Also announced is a new Planning Workspace where FP&A teams can collaborate and analyze budget information and potential scenarios. The value of having the entire platform on LEX is evident in how FP&A managers can immediately use financial data to accelerate planning cycles which also drives more accurate forecasting within the Planning Workspace. Also introduced is a new machine-learning-based component to the ERP product suite. Its Intelligent bank reconciliation solution provides accounting teams the agility to match a single bank statement transaction to multiple accounting transactions. It’s also supporting a more extensive end-to-end intelligent transaction matching that streamlines reconciliation procedures. That’s welcome news for accounting teams that need the time for more intensive tasks and would like to be free from the repetitive nature of reconciliation work.

Conclusion

FinancialForce’s decision to change its cadence from four to three releases a year shows its product strategy is delving further into where the gaps are in the opportunity-to-renewal process. Concentrating on three significant releases gives their DevOps and engineering teams the time they need to develop new features while revamping the entire platform to the Salesforce Lightning Experience (LEX). Leading with usability on Services CPQ and Customer Success Cloud makes sense as services businesses need to excel in each area to grow and retain customers. Additionally, a new UX will help accelerate the ramp-up times of new users. FinancialForce enters a new era with the Summer 22 Release, closing gaps in platform strategy while helping customers do the same.

May 3

FinancialForce’s Spring 2022 Release Defines the Future of FP&A In Services

Economic uncertainty sends shock waves throughout businesses, with service organizations seeing its brunt. The recent drastic drop-off in Netflix subscribers is a case in point. Services CFOs say there is an urgent need to track how well their overarching planning strategies linking finance and operations perform. However, getting the data to analyze has been challenging for even the largest services businesses.

As a result, CFOs need Financial Planning & Analysis (FP&A) integrated with operational planning applications to make it easier to track plan performance across all P&Ls and financials. FinancialForce’s decision to launch a fully-featured FP&A on their ERP Cloud platform shows they read the services market clearly and listen to their customers’ CFOs on what matters most.

CFOs Want To Know The Financial Impact Of Every Planning Decision

Even during economic stability, finance teams struggle to get operations planning teams the data they need to predict the financial outcomes of decisions. Line-of-business leaders look to finance to provide accurate, detailed information on the financial implications of every planning decision. By having FP&A use the same data accounting, reporting and planning have, CFOs, COOs, and their teams get greater visibility and control over every aspect of budgeting and forecasting.

One of FP&A’s greatest shortcomings in the past was relying only on siloed financial data alone with little visibility into operational planning. Financial teams need access to all available data across finance and operations to do their jobs well and create accurate forecasts. Getting FP&A right with any ERP platform needs to start with the goal of delivering integrated business planning. Sales management and their teams also need visibility into FP&A reporting and analysis to manage revenue. FinancialForce’s decades of experience on the Salesforce platform combined with the integration expertise Salesforces’ MuleSoft acquisition brought to the company four years ago will increase the probability of their FP&A solution gaining adoption.

Services companies’ CFOs are grappling with new economic uncertainties every week. As a result, they’re most interested in getting greater visibility and control over the planning process, including version control, more automated multi-planning options, and more real-time enterprise-wide collaboration, all on a single platform. FinancialForce’s DevOps and product management teams deserve credit for identifying these challenges and including them in their FP&A application delivered in the Spring 2022 release.

FinancialForce

FinancialForce’s long-awaited FP&A solution enables analysts to create multiple what-if scenarios using calculation rules and mass functions, create dynamic plans and stress-test assumptions, and better anticipate their return by area and investment.

The future of FP&A Is An Integrated Cloud

Service organizations are quicker to migrate to the cloud versus their product-based counterparts. That’s because procurement, order-to-cash, and supply chain management workflows tend to be less complex than product-based businesses. Services organizations also need financial management, procure-to-pay, and Professional Services Automation (PSA), all on the same platform to support operational planning with FP&A.

FinancialForce’s Multi-X functionality is expanded in the Spring 2022 release to simplify the consolidation of financial statements and meet the needs of multi-entity organizations. In the latest release, it’s possible to record taxes due from intercompany tax transactions, accelerating the intercompany process for taxation and reporting. The Spring 2022 release also streamlines the creation of multi-company sales invoices and simplifies consolidated financial statement preparation with consolidation group structure capabilities.

FinancialForce

Multi-X enables the recording and sharing across a multi-tier or multi-entity business.

New localization features that are essential to running a global business were added, including support for Switzerland, Denmark, Finland, and Austria, as well as enhanced business operations in Germany and Australia. In addition, multi-X supports multi-company invoicing support and advanced invoice consolidations for multi-revenue billing. Calculating and recording tax on intercompany transactions and enabling cash matching process across companies are also supported.

FP&A’s future is an integrated cloud, further validated by FinancialForce’s’ launch of ERP Cloud, Professional Services Cloud, and enhancements to its Customer Success solutions. “In today’s business environment, organizations must be able to respond to disruptions quickly while continuing to innovate and deliver tangible outcomes to their customers,” said Dan Brown, Chief Product and Strategy Officer at FinancialForce. “Our Spring 2022 release gives our customers a richer toolset to help pursue their primary goal, delivering exceptional customer outcomes while improving the customer experience across the opportunity-to-renewal journey.”

New Professional Services (PS) Cloud additions in the Spring 2022 release include customer-requested improvements to skills and resource management, services estimating, and project management capabilities. FinancialForce’s customers have also requested improved resource management to scale their efforts to train and retain their workforce. As a result, the Spring 2022 Release adds intelligent automation to the staffing process by enabling auto-assignment of resource requests that meet specific criteria and an expanded capability to model ideal staffing scenarios across a project, opportunity, or region. These enhancements improve PS Cloud’s resource optimization capabilities and enable resource managers to deploy ever larger and more complex teams efficiently and cost-effectively.

Conclusion

Services organizations are looking for cloud-based professional services ERP systems that deliver greater forecast accuracy, faster forecasting and budgeting, and improved accountability, visibility, and control. Integrated clouds are the future of FP&A for all these factors and the need all services organizations have to improve revenue and operations performance. In addition, given the growing economic uncertainty today, CFOs also want to increase better predictability and better risk management strategies while also supporting more collaboration. All these factors combined are defining the future of FP&A in an integrated cloud, which is what FinancialForce has been doing for decades on the Salesforce platform.

Apr 8

Five Ways AI Can Help Create New Smart Manufacturing Startups

smart manufacturing, AI, machine learning

AI and machine learning’s potential to drive greater visibility, control, and insight across shop floors while monitoring machines and processes in real-time continue to attract venture capital. $62 billion is now invested in 5,396 startups concentrating on the intersection of AI, machine learning, manufacturing, and Industry 4.0, according to Crunchbase.

PwC’s broader tech sector analysis shows a 30% year-over-year growth in funding rounds that reached $293.2 billion in 2021. Smart manufacturing startups are financed by seed rounds at 52%, followed by early-stage venture funding at 33%. The median last funding amount was $1.6 million, with the average being $9.93 million.

 Abundant AI startup opportunities in smart manufacturing and industry 4.0 

According to Gartner, “The underlying concept of Industry 4.0 is to connect embedded systems and smart production facilities to generate a digital convergence between industry, business, and internal functions and processes.” As a result, Industry 4.0 is predicted to grow from $84.59 billion in 2020 to $334.18 billion by 2028. AI and machine learning adoption in manufacturing are growing in five core fields: smart production, products and services improvements, business operations and management, supply chain, and business model decision-making. Deloitte’s survey on AI adoption in manufacturing found that 93% of companies believe AI will be a key technology to drive growth and innovation.

Machine intelligence (MI) is one of the primary catalysts driving increased venture capital investment in smart manufacturing. Startup CEOs and their customers want AI and machine learning models based on actual data, and machine intelligence is helping to make that happen. An article by McKinsey & Company provides valuable insights into market gaps for new ventures. McKinsey’s compelling data point is that those leading companies using MI achieve 3X to 4X the impact of their peers. However, 92% of leaders also have a process to track incomplete or inaccurate data – which is another market gap startups need to fill.

AI, Industry 4, smart manufacturing

McKinsey and the Massachusetts Institute of Technology (MIT) collaborated on a survey to identify machine intelligence leaders’ KPI gains relative to their peers. They found that leaders achieve efficiency, cost, revenue, service, and time-to-market advantages. Source: Toward smart production: Machine intelligence in business operations, McKinsey & Company. February 1, 2022.

Based on the uplift MI creates for new smart manufacturing startup funding and the pervasive need manufacturers have to improve visibility & control across shop floors, startups have many potential opportunities. The following are five that AI and machine learning is helping to create:

  1. AI-enabled Configure, Price, and Quote (CPQ) systems that can factor in supply chain volatility on product costs are needed. Several startups are already using AI and machine learning in CPQ workflows, and they compete with the largest enterprise software providers in the industry, including Salesforce, SAP, Microsoft, and others. However, no one has taken on the challenge of using AI to factor in how supply chain volatility changes standard and actual costs in real-time. For example, knowing the impact of pricing changes based on an allocation, how does that impact standard costs per unit on each order? Right now, an analyst needs to spend time doing that. AI and machine learning could take on that task so analysts could get to the larger, more complex, and costly supply chain problems impacting CPQ close rates and revenue.
  2. Using AI-enabled real-time data capture techniques to identify anomalies in throughput as an indicator of machine health. The aggregated data manufacturing operations produced every day holds clues regarding each machine’s health on the shop floor. Automated data capture can identify scrap rates, yield rates and track actual costs. However, none of them can analyze the slight variations in process flow product outputs to warn of possible machine or supply chain issues. Each process manufacturing machine runs at its cadence or speed, and having an AI-based sensor system track and analyze why speeds are off could save thousands of dollars in maintenance costs and keep the line running. In addition, adding insight and intelligence to the machine’s real-time data feeds frees quality engineers to concentrate on more complex problems.
  3. Industrial Internet of Things (IIoT) and edge computing data can be used for fine-tuning finite scheduling in real-time. Finite scheduling is part of the broader manufacturing systems organizations rely on to optimize shop floor schedules, machinery, and staff scheduling. It can be either manually intensive or automated to provide operators with valuable insights. A potential smart manufacturing opportunity is a finite scheduler that relies on AI and machine learning to keep schedules on track and make trade-offs to ensure resources are used efficiently. Finite schedulers also need greater accuracy in factoring in frequent changes to delivery dates. AI and machine learning could drive greater on-time delivery performance when integrated across all the shop floors a manufacturer relies on.
  4. Automated visual inspections and quality analysis to improve yield rates and reduce scrap. Using visual sensors to capture data in real-time and then analyze them for anomalies is in its nascent stages of deployment and growth. However, this is an area where captured data sets can provide machine learning algorithms with enough accuracy to identify potential quality problems on products before they leave the factory. Convolutional neural networks are an effective machine learning technique for identifying patterns and anomalies in images. They’re perfect for the use case of streamlining visual inspection and in-line quality checks in discrete, batch, and process manufacturing.
  5. Coordinated robotics (Cobots) to handle assemble-to-order product assembly. The latest cobots can be programmed to stay in sync with each other and perform pick, pack, ship, and place materials in warehouses. What’s needed are advanced cobots that can handle simple product assembly at a more competitive cost as manufacturers continue to face chronic labor shortages and often run a shift with less than half the teams they need.

Talent remains an area of need 

Manufacturers’ CEOs and COOs say that recruiting and retaining enough talent to run all the production shifts they need is the most persistent issue. In addition, those manufacturers located in remote regions of the world are turning to robotics to fulfill orders, which opens up opportunities for integrating AI and machine learning to enable cobots to complete assemble-to-order tasks. The unknown impact of how fast supply chain conditions change needs work from startups, too, especially in tracking actual cost performance. These are just a few opportunities for startups looking to apply AI and machine learnings’ innate strengths to solve complex supply chain, manufacturing, quality management, and compliance challenges.

Apr 6

LinkedIn Best Companies To Work For In 2022 Dominated Again By Tech

LinkedIn

Amazon’s Sunnyvale, CA Campus (source: Istockphoto)

  • Tech leaders are six of LinkedIn’s top ten companies to grow your career in 2022.
  • Amazon is the again highest rated company, followed by Alphabet (2nd), IBM (6th), AT&T (7th), Apple (9th), and Comcast (10th).
  • 19 of the 50 top companies in the U.S. are in the tech industry, including Dell, Intel, Oracle, Salesforce, Cisco, and others.
  • LinkedIn identified four key trends in their analysis, with flexible work is becoming table stakes for recruiting and retaining employees.

These and many other insights are from LinkedIn Top Companies 2022: The 50 best workplaces to grow your career in the U.S., published today. All 50 companies are currently hiring and have over 530,000 jobs open across the U.S, with over 70,000 being remote positions. The LinkedIn analysis of the best companies to grow your career spans 35 global markets, including the U.S., Canada, Mexico, Brazil, Argentina, Colombia, Chile, Ireland, France, Switzerland, Austria, Germany, Israel, Italy, Spain, the U.K., Sweden, Belgium, Denmark, the Netherlands, Portugal, India, Japan, Singapore, Philippines, Malaysia, Indonesia, Australia, New Zealand, UAE, Egypt, Saudi Arabia, South Africa, Nigeria, and Kenya.

LinkedIn’s Top Companies 2022 spotlights the organizations investing in employee success and career development. LinkedIn’s methodology and internal analysis ranked companies based on seven pillars that display career progression: ability to advance, skills growth, company stability, external opportunity, company affinity, gender diversity, and educational background.

The 19 Best Tech Companies To Grow Your Career In 2022

The following are profiles of the top 19 tech companies hiring in the U.S. today with links to available positions accessible via LinkedIn:

Amazon

Amazon is the parent company of Whole Foods Market, Zappos, Twitch, PillPack, and others.

Global headcount: 1,600,000 (with 1,100,000 in the U.S.) | Top U.S. locations: Seattle, San Francisco Bay Area, New York City | Most notable skills: Warehouse Operations, Data Entry, AWS Lambda | Most common job titles: Software Engineer, Fulfillment Associate, Warehouse Associate | Largest job functions: Operations, Engineering, Program and Project Management | What you should know: Even as the country’s second-largest private employer, Amazon continues to compete in recruiting and retaining top talent amid a competitive labor market. The company recently announced that it’s doubling its maximum base salary for corporate and tech workers, and it raised average wages for warehouse workers late last year, increasing pay for more than half a million of its employees. But the e-commerce giant is going beyond compensation, too: investing $1.2 billion over the next three years to expand its education and skills training initiatives. Amazon now pays 100% of college tuition for frontline employees as part of its Career Choice program and covers high school diploma programs, GEDs, and English proficiency certifications.

See jobs at Amazon

Alphabet

Alphabet is the parent company of Google, YouTube, Fitbit, Waymo, Verily, and others.

Global headcount: 156,000 | Top U.S. locations: San Francisco Bay Area, New York City, Seattle | Most notable skills: Video Editing and Production, Google Cloud Platform (GCP), C++ | Most common job titles: Software Engineer, Program Manager, Product Manager | Largest job function: Engineering, Information Technology, Program and Project Management | What you should know: It’s been a big year for Alphabet: The company onboarded nearly 6,500 employees last quarter and saw significant growth across Google’s Cloud service and YouTube (whose revenues are now growing at a faster rate than Netflix). For those interested in flexibility, the tech giant has a robust offering. In addition to adopting a hybrid work model, the company told LinkedIn that Alphabet offers four ‘work from anywhere’ weeks per year, sabbaticals for long-term employees, and ‘no meeting’ days. But Alphabet has also worked to maintain a collaborative culture and support career growth while working remotely. Employees can take advantage of resource groups like Women@Google and its Googler-to-Googler training, which lets its workers get first-hand knowledge across different fields from other employees.

See jobs at Alphabet

IBM

IBM is the parent company of Red Hat, SoftLayer Technologies, Truven Health Analytics, and others.

Global headcount: 250,000 | Top U.S. locations: New York City; Raleigh-Durham, N.C.; San Francisco Bay Area | Most special skills: Kubernetes, Openshift, Hybrid Cloud | Most common job titles: Software Engineer, Project Manager, Data Scientist | Largest job functions: Engineering, Information Technology, Sales | What you should know: The perennial IT giant has re-upped its benefits offerings amid the Great Reshuffle, IBM told LinkedIn. The new initiatives are increased paid time off, more promotion and pay reviews, backup dependent care, virtual tutoring, and ‘compassionate leave’ for parents who experience stillbirth or miscarriage. In addition, as the company moves forward with a hybrid working model that allows employees to decide how often they want to be onsite, IBM has also transformed its onboarding process with “a focus on empathy and engagement” to help remote new hires feel more connected.

See jobs at IBM

AT&T

AT&T is the parent company of DIRECTV, WarnerMedia, Cricket Wireless, and others.

Global full-time headcount: 202,600 | Top U.S. locations: Atlanta, Dallas, New York City | Most notable skills: Design Thinking, Customer Experience, Futurism | Most common job titles: Retail Sales Consultant, Client Solutions Executive, Customer Service Representative | Largest job functions: Sales, Information Technology, Engineering | What you should know: Just three years after the acquisition of Time Warner, AT&T is changing course. The company agreed to a deal last year that will combine WarnerMedia’s assets with Discovery’s to create a new, separate global entertainment giant. Once the spinoff is completed (likely mid-2022), the telecom company will be focused on its core business — expanding access to broadband internet. For its employees, AT&T offers several advancement opportunities. For example, it invests $2 million annually in ‘AT&T University,’ an internal training program to help its workers upskill, and has partnered with groups like Udacity and Coursera to offer advanced online courses.

See jobs at AT&T

Apple

Apple is the parent company of AuthenTec, NeXT Software, Shazam, and others.

Global headcount: 154,000 | Top U.S. locations: San Francisco Bay Area; Austin, Texas; New York City | Most notable skills: Apple Software and Hardware, Technical Learning, iOS | Most common job titles: Software Engineer, Technical Specialist, Mac Genius | Largest job functions: Engineering, Information Technology, Sales | What you should know: Apple is increasing benefits and pay for retail workers to attract and retain employees at its 270 retail stores across the U.S. — including doubling sick days for both full-time and part-time employees and granting more vacation days. Its retail employees are also eligible for paid parental leave and can access discounted emergency childcare. In addition, after being one of the first companies to tell its corporate employees to work remotely in March 2020, Apple is now asking that they return to the office three days a week.

See jobs at Apple

Comcast

Comcast is the parent company of NBCUniversal, Sky, DreamWorks Animation, and others.

Global headcount: 189,000 (with 130,000 in the U.S.) | Top U.S. locations: Philadelphia, New York City, Los Angeles | Most notable skills: Media Production, Cable Modems, Broadcast Television | Most common job titles: Software Engineer, Communications Technician, Salesperson | Largest job functions: Engineering, Sales, Information Technology | What you should know: Comcast prioritizes career growth and development among its employees through various benefits — including mentorship programs, department rotations and tuition assistance for continuing education and skills development. As a part of its commitment to wellbeing, it also pays for 78% of its employees’ health care costs. Want an in? Comcast says the #1 skill it looks for in new hires is authenticity. “We believe that by being yourself, you are empowered to do your best work,” the company told LinkedIn.

See jobs at Comcast

Meta

Meta is the parent company of Onavo, WhatsApp, Instagram, and others.

Global headcount: 71,900 | Top U.S. locations: San Francisco Bay Area, Seattle, New York City | Most notable skills: PHP, Program Management, Social Media Marketing | Most common job titles: Software Engineer, Technical Recruiter, Data Scientist | Largest job functions: Engineering, Information Technology, Human Resources

See jobs at Meta

Dell Technologies

Dell Technologies is the parent company of Dell EMC, SecureWorks, and others.

Global headcount: 133,000 | Top U.S. locations: Austin, Texas; Boston; San Francisco Bay Area | Most notable skills: Software as a Service (SaaS), Kubernetes, Salesforce | Most common job titles: Account Executive, Software Engineer, Inside Sales Representative | Largest job functions: Sales, Information Technology, Engineering

See jobs at Dell Technologies

 Accenture

Accenture is the parent company of Karmarama, The Monkeys, Fjord, and others.

Global headcount: 674,000 | Top U.S. locations: Washington D.C., New York City, Chicago | Most notable skills: Amazon Web Services (AWS), Management Consulting, Software Development Life Cycle (SDLC) | Most common job titles: Managing Director, Management Consultant, Business Integration Manager | Largest job functions: Information Technology, Business Development, Engineering

See jobs at Accenture

 Verizon

Verizon is the parent company of GTE Corporation, MCI Communications Corporation, and others.

Global headcount: 119,400 (with 105,800 in the U.S.) | Top U.S. locations: New York City, Dallas, Washington D.C. | Most notable skills: Quotas, Wireless Technologies, Solution Selling | Most common job titles: Solutions Specialist, Customer Service Representative, Business Account Manager | Largest job functions: Sales, Engineering, Information Technology

See jobs at Verizon

 Intel

Intel is the parent company of Mobileye, Data Center Group, and others.

Global headcount: 121,000 (with 55,700 in the U.S.) | Top U.S. locations: Portland, Ore.; Phoenix; San Francisco Bay Area | Most notable skills: JMP, System on a Chip (SoC), Statistical Process Control (SPC) | Most common job titles: Software Engineer, Process Engineer, System-on-Chip Design Engineer | Largest job functions: Engineering, Operations, Information Technology

See jobs at Intel

Oracle

Oracle is the parent company of MICROS Systems, NetSuite, Peoplesoft, BEA Systems, and others.

Global headcount: 133,000 (46,600 in the U.S.) | Top U.S. locations: San Francisco Bay Area, Boston, Denver | Most notable skills: Oracle Cloud, NetSuite, OCI | Most common job titles: Software Engineer, Business Development Consultant, Application Sales Manager | Largest job functions: Engineering, Sales, Information Technology

See jobs at Oracle

 Salesforce

Salesforce is the parent company of Slack, Mulesoft, Buddy Media, Tableau, and others.

Global headcount: 74,300 (41,000 in the U.S.) | Top U.S. locations: San Francisco Bay Area, Seattle, New York City | Most notable skills: Salesforce.com Administration, Salesforce Sales Cloud, Slack | Most common job titles: Account Executive, Software Engineer, Solutions Engineer | Largest job functions: Sales, Engineering, Information Technology

See jobs at Salesforce

Cisco

Cisco is the parent company of Duo Security and others.

Global headcount: 81,800 (38,800 in the U.S.) | Top U.S. locations: San Francisco Bay Area; Raleigh-Durham, N.C.; Dallas | Most notable skills: Software as a Service (SaaS), Kubernetes, Network Engineering | Most common job titles: Software Engineer, Account Manager, Program Manager | Largest job functions: Engineering, Information Technology, Sales

See jobs at Cisco

Cognizant

Global headcount: 330,600 (34,680 in the U.S.) | Top U.S. locations: New York City, Dallas, Chicago | Most notable skills: Amazon Web Services (AWS), Software Development Life Cycle (SDLC), Agile & Waterfall Methodologies | Most common job titles: Project Manager, Software Engineer, Technical Lead | Largest job functions: Engineering, Information Technology, Program and Project Management

See jobs at Cognizant | See people you may know at Cognizant

Siemens

Siemens is the parent company of Mendix and others.

Global headcount: 303,000 (with 40,000 in the U.S.) | Top U.S. locations: New York City, Philadelphia, Atlanta | Most notable skills: Building Automation, HVAC Controls, Electrical Troubleshooting | Most common job titles: Project Manager, Software Engineer, Senior Sales Executive | Largest job functions: Engineering, Sales, Operations

See jobs at Siemens

Juniper Networks

Global headcount: 10,400 (with 4,400 in the U.S.) | Top U.S. locations: San Francisco Bay Area, Boston, Washington D.C. | Most notable skills: Junos, Kubernetes, Border Gateway Protocol (BGP) | Most common job titles: Software Engineer, System Engineer, Technical Support Engineer  | Largest job functions: Engineering, Sales, Information Technology

See jobs at Juniper Networks

Viasat

Viasat is the parent company of RigNet and others.

Global headcount: 5,800 | Top U.S. locations: San Diego, Denver, Atlanta | Most notable skills: RF Test, Amazon Web Services (AWS), Satellite Communications (SATCOM) | Most common job titles: Software Engineer, Program Manager, System Engineer | Largest job functions: Engineering, Information Technology, Operations

See jobs at Viasat

MathWorks

Global headcount: 5,000 (with 3,000 in the U.S.) | Top U.S. locations: Boston, Detroit, Los Angeles | Most notable skills: MATLAB, Simulink, Deep Learning | Most common job titles: Software Engineer, Application Support Engineer, Principal Software Engineer | Largest job function: Engineering, Information Technology, Sales

See jobs at MathWorks

 

LinkedIn’s Key Trends Of 2022

  • Flexible work is becoming table stakes for recruiting and retaining employees. With job seekers and employees in the driver’s seat and able to ask for the work-life balance they need, flexible work has become required to attract and retain top talent. Most companies on this year’s list offer some form of work-from-anywhere flexibility, with more than 70,000 remote jobs open now across the top 50 companies. Many companies also allow employees to set their schedules and work custom “on” hours through asynchronous work. Some, like Amazon (#1), Raytheon Technologies (#21), and General Motors (#44), are encouraging work-life balance with company-wide days off, while others offer unlimited paid vacation and sabbaticals. In addition, many companies are testing out new flexible offerings – employees at Cisco (#30) have adopted a four-day workweek through the company’s Interim Reduced Workweek program, IBM (#6) has set mandatory “off” hours, Cognizant (#33) offers the option to work a compressed week through its WorkFlex program, Realogy (#40) has a no meetings policy on “Focus Fridays,” Publicis Groupe (#41) allows employees the freedom to work from anywhere they like for up to six weeks per year and PwC (#32) allows employees to step away from work for up to six months while paid through its new Leave of Absence program.
  • Top companies offer stability in an unstable world. While many companies across the U.S. have faced challenges and disruptions over the last year, the Top Companies offer stability and upskilling opportunities that employees can count on – from tuition assistance and PTO for professional development to mentorship programs and job shadowing. Many organizations instituted new programs to retain employees. For example, Deloitte (#11) introduced a new Talent Experience Office focused on employee sentiments and preferences to help inform company choices, EY (#22) offers a Pathway to Purpose virtual program to help employees discover and live their personal purpose and vision, and Kimley-Horn (#31) offers job rotations, so employees learn from different roles and departments. Amazon (#1) is investing $1.2 billion to expand its education and skills training initiatives, Walmart (#5) gives field-based associates access to a no-cost college degree through its Live Better U program, and Verizon (#18) offers an apprenticeship program for those facing employment loss due to automation in technology to prepare them for the jobs of the future. PwC (#32) invested $3 billion in a “New World. New Skills” commitment to equip employees with digital training and awarded a “thank you” bonus of one-week extra pay. Bank of America (#8) provided an additional $1 billion in compensation stock awards to employees globally, and Northrop Grumman (#38) enhanced their annual bonus plan in addition to their ongoing stay interviews.
  • Mental health care is going mainstream across hiring and talent management. To keep employees healthy and happy at work, almost all of this year’s honorees now provide services that address mental health and well-being. Companies like Intel (#23), Salesforce (#28), and Juniper Networks (#46) provide dedicated mental health days, with many – including FedEx (#47) and Blackstone (#43) – offering company-paid mental health benefits. In addition, EY (#22) has expanded its no-cost counseling and mental health coaching sessions to 25 per year for employees and family. Deloitte (#11) provides a $1,000 well-being subsidy in addition to individualized psychological health resources. Unitedhealth Group (#13) provides complimentary access to wellness apps offering coaching, talk therapy, and more.
  • Authenticity, compassion, and curiosity are must-have skills. Most of the Top Companies do not require college degrees and instead look for soft skills that can translate across departments and roles. For example, the #1 skill Comcast (#10) seeks in new hires is authenticity, HCA Healthcare (#37) wants new hires to possess compassion, and Dell Technologies (#14) looks for people who thrive in an environment with a diversity of people and ideas. Accenture (#17), Oracle (#27), and Lockheed Martin (#29) value candidates with curiosity and eagerness to learn and grow. Alphabet (#2) looks for problem-solving skills and a growth mindset.

LinkedIn’s Top 50 Companies In The U.S., 2022

  1. Amazon
  2. Alphabet
  3. Wells Fargo
  4. JPMorgan Chase & Co.
  5. Walmart
  6. IBM
  7. AT&T
  8. Bank of America
  9. Apple
  10. Comcast
  11. Deloitte
  12. Meta
  13. UnitedHealth Group
  14. Dell Technologies
  15. CVS Health
  16. The Walt Disney Company
  17. Accenture
  18. Verizon
  19. GE
  20. Boeing
  21. Raytheon Technologies
  22. EY
  23. Intel
  24. Keller Williams
  25. Kaiser Permanente
  26. Target
  27. Oracle
  28. Salesforce
  29. Lockheed Martin
  30. Cisco
  31. Kimley-Horn
  32. PwC
  33. Cognizant
  34. Citi
  35. Citadel
  36. Johnson & Johnson
  37. HCA Healthcare
  38. Northrop Grumman
  39. Siemens
  40. Realogy
  41. Publicis Groupe
  42. Whiting-Turner
  43. Blackstone
  44. General Motors
  45. Capital One
  46. Juniper Networks
  47. FedEx
  48. Ford Motor Company
  49. Viasat
  50. MathWorks

 

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