AI Committees and Centers of Excellence don't address the AI Stakeholder Squeeze

The Inadequacy of Enterprise AI Committees and Centers of Excellence

April 28, 2026 3 Comments

General-Purpose Technologies, such as AI, must cause the enterprise to rethink and redesign its workflows, organizational structures, and business models. Most information technologies targeting the enterprise, e.g., business intelligence, refine and optimize existing processes rather than forcing their complete redesign. Failing to distinguish between a true General-Purpose Technology and a standard information technology leads CEOs to the dangerous trap of considering AI committees and Centers of Excellence as the appropriate bodies to introduce AI to their corporations.

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Revisiting Insight Generation in the Age of Generative AI

April 1, 2025 2 Comments

The process of insight generation is changing due to generative AI. While the foundations of insight generation I presented ten years ago remain relevant, the methods, tools, and implications have expanded dramatically. Generative AI is reshaping how insights are derived, validated, and applied across industries.

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Yearend Thoughts on Enterprise AI

December 30, 2024 4 Comments

The biggest venture financing rounds during 2024 involved AI companies. Reviewing the characteristics of such financing rounds, combined with the performance of our portfolio startups, and our firm’s corporate advisory AI projects (completed and ongoing), I worry that venture investors expect corporate AI adoption will be fast and large-scale. In contrast, corporate AI spending, though growing, is more measured than VCs predict.

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Mobility Intelligence and Neurosymbolic Systems

September 10, 2024 2 Comments

Most of you know our firm from its investments in early-stage AI software startups and as an AI advisor to corporations. Few know about the AI systems we have been developing and how we use them with our corporate customers or in new startups we spin out. Over the past several years we have been working on a class of AI-based mobility intelligence systems that are used for understanding a population’s mobility behavior within a region, such as a neighborhood, a city, or even an entire state. We found that neurosymbolic systems that incorporate generative AI components can be extremely effective in understanding such behaviors and providing their users with mobility intelligence.

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The Struggles Enterprises Face with Generative AI

August 13, 2024 2 Comments

A few days ago I attended the strategy meeting of a portfolio company. Like all of our Synapse Partners portfolio companies, this one provides AI solutions to enterprise customers. Their initial success is in the medical devices industry. While reviewing the company’s sales pipeline and the progress of delivering the company’s solution to signed customers, several of the enterprise’s struggles with generative AI became evident. These struggles can be attributed to a lack of people with the right background and the state of the enterprise data.

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