We Love Ugly Data! – The Deep Analysis Podcast: Series 3, Episode 4

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We Love Ugly Data! – The Deep Analysis Podcast: Series 3, Episode 4

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The fourteenth episode of the podcast we now know and love as "We Love Ugly Data!" is out, Matt and Alan this time, in a very Work Intelligence focused episode.

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 show notes are, as usual, included below the embedded video. 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 with discussion of the newly released “Work Intelligence Market Analysis 2024-2029” is now out for subscribers (and for one off purchase for non subscribers). Matt and Alan discuss the constituent parts that go to 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.

UPDATE: Since this recording and these notes were first posted, we’ve heard that Workfellow has been acquired by ProcessMaker, so there’s a lovely postscript to this story.

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 paid go on to 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.
Since the recording, we’ve learned that as of 9th April, Workfellow has been acquired by ProcessMaker.

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 first proposed RAG to assist LLM performance.

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Work Intelligence Market Analysis 2024-2029