Aggregated enterprise architecture wisdom
Abstract:
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…
Abstract:
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. …
Abstract:
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…
Abstract:
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…
By Dr. Magesh Kasthuri The proliferation of Generative AI tools like GPT and Copilot has transformed the way professionals approach problem-solving, coding, business analysis, and daily productivity. However, the quality of AI-generated outputs hinges …
by Aleksander Wyka Introduction: An Architectural Inflection Point Artificial intelligence…
by Pranav Lal 1. The IPO as an Architectural Event:…
by Nadzeya Stalbouskaya Artificial intelligence did not change the tools…
By Saravanan K Nagarajan Most enterprises have an average of more than 500 applications and larger enterprises may even have more than 1000 applications in their tech stack servicing business needs. This leads to situations […]
By Anthony Borrelli Last year, when The New York Times reported that Amazon’s robotics team’s ultimate goal was to automate 75% of the company’s operations, replacing more than half a million human jobs in an attempt to pass […]
Just copied from an earlier version on LinkedIn, a short article describing the key role of imagination in intelligence and why that may mean that self-driving cars require true intelligence and more than just reacting to sensors.
End-of-support tech can be a hidden impediment to delivery. Discover how integrating SAP LeanIX with Jira Service Management can surface key issues.