The Generative Enterprise #2

GenAI for Executives, organizational change and new use cases

September 12, 2024

In today’s issue, we’ll cover how different industries and c-suite executives are utilizing GenAI, organizational changes driven by AI development, and the latest updates from the Microsoft Copilot Ecosystem. We’ll also dive into some new use cases, model releases, and updates from OpenAI. We hope you enjoy it! (If this was forwarded to you, you can always sign up directly here.)

How leaders are deploying Gen AI

  • In a new McKinsey survey, CFOs report a growing focus on longer-term planning and high expectations for generative AI.

  • While organizations adopt Gen AI this article highlights the 6 hard truths of generative AI in the enterprise.

  • Microsoft has integrated generative AI (gen AI) features into many of its enterprise tools. Read why enterprise CIOs need to plan for it.

  • Deloitte dropped insights about how internal audit leaders have identified ways to apply AI.

  • McKinsey identified how leaders can scale gen AI in retail.

Our POV: Generative AI is real and is being applied in every industry and function. The question is not about whether your company should adopt generative AI now but more about how your company should do it to be successful.

Gen AI requires organizational change

  • In a new McKinsey Survey read about, “Gen AI’s next inflection point: From employee experimentation to organizational transformation”.

  • McKinsey dropped a 25-minute podcast on, “The key to accelerating AI development? Pragmatism plus imagination”.

  • A recent PwC survey reveals that while 73% of U.S. executives plan to use generative AI, only 58% have started assessing AI risks, highlighting the need for responsible AI strategies as large-scale adoption increases.

Our POV: Effective AI integration requires organizational changes, including robust governance, talent upskilling, and embedding responsible AI practices throughout operations. So, maintain a balance between technological advances and human oversight to maximize benefits and mitigate risks.

Microsoft-specific updates

  • This article exposes security flaws in Microsoft’s Copilot Studio by claiming, “Creating Insecure AI Assistants With Microsoft Copilot Studio Is Easy”.

  • This article discusses how organizations can optimize their investment in AI tools like Microsoft Copilot by reviewing user activity data.

  • GitHub launches a model playground for AI developers. 

New use cases, updates and releases