Aggregated enterprise architecture wisdom
By Holt Hackney When the Chief Architect Forum (CAF) was born, Kevin Donovan was a logical choice as chairman. Afterall, he is a strategic global IT executive and enterprise architect with more than 20 years […]
Artificial Intelligence (AI) is moving fast, but successful adoption is not about experimenting with disconnected tools. It’s about building AI as an enterprise capability. In a recent webinar hosted by Avolution in collaboration with Invecto Technolog…
By Nadzeya Stalbouskaya Every company today claims to be “data driven.” Dashboards glow in every meeting room, KPIs appear in every presentation, and the word insight has become part of everyday business language. Yet, there’s […]
The Architecture Development Method (ADM) of the TOGAF Standard describes a number of techniques a practitioner has at his disposal. Risk Management is the second-to-last technique that is described. Since it is addressed in several phases (Phase A and Phases E through H), it can be seen as an integral part of architecture development. Applying Risk Management techniques ensures that risks are identified, assessed, and mitigated as part of the architecture development process.
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We are thrilled to announce that Dr. Steve Else, Ph.D.,…
Inertia and Innovation: What Disney Experiences and Gartner Conferences Teach…
For more than a quarter century, I’ve made the annual…
Strategy execution has never been harder. Markets shift overnight, priorities change in weeks, and opportunities vanish if you can’t move fast. Speed and flexibility feel less like differentiators and more like survival skills. If complex approvals, disconnected tools, and reactive reporting are still slowing you down, you’re not just behind schedule anymore. You’re at risk…
By Shammy Narayanan In the previous edition, we peeled back the glossy layer of RAG and exposed why AI sometimes gives hilariously dangerous advice like suggesting glue on a pizza. We learned that this wasn’t […]
Since ChatGPT’s debut three years ago, generative AI has evolved from niche experimentation to near-universal enterprise adoption. Consider the latest data from McKinsey. Their November State of AI Report states that 88% of organizations now report regular AI use in at least one business function. That’s up from 78% a year ago, signaling a significant…
By Sadia Tahseen As organizations accelerate their digital transformation journeys, artificial intelligence (AI) is redefining how enterprise applications interact. From the growing landscape of SaaS platforms, AI is driving a shift toward smarter, fas…
SAP LeanIX adds application total cost of ownership (TCO) capabilities to capture application cost data, surface key cost drivers, and quantify rationalization opportunities. These capabilities can help enterprise architects bring cost tr…