The Quiet Death of Enterprise Architecture
How enthusiasm slowly turns into routine, routine into neglect—and eventually into irrelevance
Aggregated enterprise architecture wisdom
How enthusiasm slowly turns into routine, routine into neglect—and eventually into irrelevance
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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…
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As organizations become more AI-fueled and pursue complex digital business opportunities, they must have a new system of guardrails that enable them to innovate quickly yet safely. Leaders must also prove that every data byte and model run i…
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Big organizations, especially those with big aspirations for leveraging AI technology, increasingly need data assets with high data liquidity (i.e., ease of data asset reuse and recombination) to achieve their aims. In this presentation, Bar…
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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, Peter presents a provocative business model framework on how we anticipate firms will mak…
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In this presentation, Alan unpacks the risks, benefits, and costs associated with each of four IT operating models. He shares how leading organizations’ IT functions support business units whose performance is heavily IT and AI dependent. Th…
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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 …
By Stuart Dee Over the years I have bought many books on architecture and, as you invariably find, they tend to fall into one of two camps. Either they are heavy on technology, or they […]
By Holt Hackney In the current era of rapid technological shifts, the role of the Enterprise Architect has evolved into something far more strategic. Leaders in this field must now navigate the complexities of generative […]
The rapid expansion of AI-driven data centers transforms what once seemed like invisible, back-end digital infrastructure into a highly visible, very localized challenge. According to Forrester’s US Tech Market Forecast, 2025 To 2030, AI could add 1.3 …
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 […]