The sixth episode of the podcast we now know and love as “We Love Ugly Data!” is out.; Matt and Alan are in the chairs this time; skip to the topics you’re most interested in, or maybe sit back and enjoy the whole thing? Come on, it’s only 30 minutes and you deserve a break.
First and foremost, 8180.01 starkly contrasts the notorious DOD 5015. Infamous as 5015 was, in our estimation, a plague on the RM community.
We have a bumper batch of new Vendor Vignettes for our annual subscribers; as always, it’s an eclectic bunch of IDP and Automation vendors under the spotlight. And if nothing else, they further illustrated what we have been saying for the past few years, our industry is vibrant, alive, and innovation thrives.
The fifth episode of the second season of the Deep Analysis podcasts went live this week; the 4 Waves of IDP, how AI products are creating a lot of head scratching on data residency and why can’t we just call everything “content”?
The specialization approach by these vendors, of course, makes sense for a few reasons, the primary one being that specialist language models are always going to form the next wave; there’s only a certain amount you can do with general models, no matter how hard you flex your prompt tuning.
The fourth episode of the second season of the Deep Analysis podcasts went live this week; new research (on Skan, Botminds, Hyperscience and IPwe), discussion about how hidden Task and Process Mining remain and – of course – more about AI and the product panic it is creating.
Recently, Botminds, Skan, Hyperscience, and IPwe all caught our attention.
The third episode of the second season of the Deep Analysis podcasts went live this week; Data Fabrics, Generative AI being helpful on your desktop and another Alan-based travelogue.
Pretty much everyone in the world of IT is aware of GPT and Generative AI; many have a solid understanding of how it works and have been closely following the recent hype cycle. However, few, if any, saw its business value, nor how or why a business case could or would be built to use it in their organizations.
