Aggregated enterprise architecture wisdom
By Rekha Kodali The adoption of agentic AI does not fail primarily because of model limitations. It fails because enterprises attempt to operationalize autonomous behaviour without defining how agents communicate, access knowledge, and remain bounded b…
By Holt Hackney The Uganda Development Bank (UDB) has appointed Peter Mukuru as Director of Business Technology and a member of its Executive Committee, signaling a renewed push to align technology strategy with the institution’s […]
By Holt Hackney James Wilt is a voraciously curious CTO, Distinguished Chief Architect & Engineering Advocate dedicated to advancing the profession of Architecture. With over 40 years of experience spanning aerospace, operating systems, cloud platf…
By Chris Kemp, of Kemp IT Law LLP We’ll all be familiar with sayings like: “it’s garbage in, garbage out with AI”. “It’s only as good as the data it’s trained on”. “When bad data […]
On discipline, clarity, and long-term architectural stability
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As AI is increasingly integrated into knowledge work, organizations face a tension: the short-term efficiency gains AI delivers can complicate the longer-term challenge of building their talent pipeline. In addition, the skills that matter m…
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In 2018 MIT CISR published the book What’s Your Digital Business Model? based on several years of survey and case study research. In this presentation, Stephanie presents a provocative business model framework on how we anticipate firms will…
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High-performing companies are redefining process excellence and business models in the age of AI. Leaders need to decide where (agentic) AI should take a direct role in decision-making, acceptable autonomy, and the KPIs used to track value. …
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In the face of increasing volatility and resource scarcity, many organizations continue to invest in digital—yet aren’t sure what to do next to translate those investments into measurable bottom-line impact. A select few have done the opposi…
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MIT CISR introduced a four-stage Enterprise AI Maturity framework in 2024 to help enterprise leaders make sense of the AI landscape and identify how to create value from the technology. Recent survey results show that enterprises are making …
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As AI becomes more embedded in enterprises, we are asking the questions “What is a digital colleague?” and “How should they be managed?” There are already enterprises with digital colleagues joining human teams, managing other digital collea…