We Love Ugly Data! The Deep Analysis Podcast

We Love Ugly Data! The Deep Analysis Podcast - Episode 14 April 2024

April 08, 2024 Alan Pelz-Sharpe
We Love Ugly Data! The Deep Analysis Podcast
We Love Ugly Data! The Deep Analysis Podcast - Episode 14 April 2024
Show Notes

The fourteenth episode of the podcast that we know and love as “We Love Ugly Data!” is out; available everywhere you get your podcasts from and, of course, in video form via YouTube (which we’ve embedded below). As always, it’s three topics in (just a touch over) 30 minutes, and the show notes are, as usual, included in the embedded video below. Matt and Alan are in the chairs this time for a Work Intelligence-focused episode.

In this month’s episode:

Topic 1: Work Intelligence Market Analysis 2024-2029, Out Now!

We kick off this episode by discussing the newly released “Work Intelligence Market Analysis 2024-2029,” which is now out for subscribers (and for one-off purchase for nonsubscribers). Matt and Alan discuss the constituent parts that make up Work Intelligence and how they fit together before going on to look at some of the biggest revenue contributors to that market and a quick discussion about some of the new data points that have debuted in this new edition of the report (geographic location and company size).

Topic 2: Farewell, Workfellow

Very much still in the area of Work Intelligence, Matt and Alan talk about the sad demise of one of our favorite Mining Intelligence start-ups, Workfellow. Pulling some further data from the Work Intelligence report, the pair discuss the relative performance and funding in particular for Process Mining and Task Mining vendors and how even that data is somewhat skewed by the presence of one, high earning and fabulously funded player in that sub-market.

Topic 3: RAG SLAM

Matt has recently published a blog post, “Models and the RAG trade”, discussing how the proposed enterprise use of generative AI has shifted quickly from it being a magic box to how it’s necessary to build and support a lot of information scaffolding around it to produce useful results. Here, the pair discuss the differences between using RAG (Retrieval Augmented Generation) and domain-specific, smaller language models (which you could call a SLAM) and where current thinking on each is likely heading. It also touches on the news – covered in another recent blog from Matt – of the hiring of (well-funded LLM start-up) Inflection’s core team by Microsoft.

Show notes for Series 3, Episode 4.

Topic 1: Work Intelligence Market Analysis 2024-2029, Out Now!
The announcement blog post for the WI Market Analysis report update.
Details on how to purchase the report for non-subscribers.

Topic 2: Farewell, Workfellow
“Workfellow – a sad loss”, Alan’s blog post signaling farewell to one of our favorite start-ups.

Topic 3: RAG SLAM
Matt’s blog posts, “Models and the RAG trade” and “Generative AI: focus on the consumer and the consumption”.
2020 research paper from Meta/UCL that firs

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