Again a great week in data! Just to name a few things:
Enterprise Architecture Management (EAM) vs. Data Catalog (DC) - In a customer project I have a recurring topic if a EAM tool is possibly enough as data catalog. This may surprise, but there are similar tasks like data lineage, data quality, overview of data objects over the IT system landscape, ownership and so on. So we worked that out going one level deeper, making the differences more clear.
Data strategy for an AI start-up - AI sparks ideas everywhere. It make things so easy. Two insights from a talk with a start-up:
Don’t oversize your data infrastructure in the beginning, just because you hear you have to scale, if you business model explode. This will not happen over night but be ready to throw things away and be agile.
Start-ups seem to intuitively understand that data and business models are directly linked. For large companies, this is often surprisingly difficult to grasp.
Starting to read “Agentic Mesh” by Eric Broda & Davis Broda - After a first scan of the 400+ page book, I expected more implementation but from a strategic perspective it looks like the book we should read for tomorrows AI world. I set up an internal book club meeting to talk about in a few weeks.
Going from Data Strategy to IT strategy - While working with a customer on a new data architecture we extend into operational integration layer and operating model, with the result to talk about the expansion into the whole IT strategy. While every strategic perspective have it’s own aspects, to connect them well, align them and learn from each other seems to make sense.
Thoughts on AI strategy - As we face a hyper-dynamic situation with AI, I think it was never more important to bring ideas into execution fast. No plan-build-run, rather vibe-create-try-feedback. Never had the chance to be so fast. If you AI project delivers no valuable result after days or weeks, you are doing things wrong. What doesn’t mean this is everywhere the case. Complexity and need for speed is the difference here.
So, not sure how your week was. Mine was great but also very exhausting.
But tell me about your learnings!
Mar 6
at
3:18 PM
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