We Love Ugly Data! – The Deep Analysis Podcast: Series 3, Episode 6

last updated:
A pair of earbuds in a holder

We Love Ugly Data! – The Deep Analysis Podcast: Series 3, Episode 6

by:
last updated:

The sixteenth episode of the podcast you know and love as "We Love Ugly Data!" is out; Matt and Alan this time discussing GenAI agents, RPA growing in the shade and what parts of vendor conferences work (and which bits don't).

The sixteenth episode of the podcast that you 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, discussing discussing how GenAI assistants are becoming agents, how RPA is growing in the shade and what parts of vendor conferences work (and which bits don’t).

In this month’s episode:

Topic 1: AI Assistants become Agents

For Topic 1, Matt and Alan discuss how after 2023 being the year where everyone launched an GenAI assistant, 2024 is the year when everyone is launching a GenAI agent. And to keep it confusing (or simple?) they’re all called Copilots. The pair discuss the phenomenon – baselining the differences – how the agent approach might suit some mature use cases better than others and how quickly a “decision tree” approach to developing and testing an agent will get really tricky indeed. Also, Matt references Spinal Tap (amazingly, for the first ever time on this pod).

Topic 2: Automation; zero spotlight and doing fine?

Alan’s been on the road again, most recently visiting Automation Anywhere’s “Imagine 2024” conference in Austin, Texas. In discussing all of that, the pair wonder whether being in the shade suits RPA, given the recent strong results for UiPath and general good market health (as predicted by the Task Execution market projections within the 2023 and 2024 editions of the Work Intelligence Market Analysis). Could is also be that the scramble for GenAI use cases is also throwing up good opportunities for RPA that could deliver faster value?

Topic 3: Conference programs; what works and what doesn’t?

As analysts, we are privileged to not only attend a lot of in-person conferences, but also have primo seats and often luxuries like refreshments and power sockets (I know, it’s a gilded existence). Given that experience, Matt and Alan each pick one thing that works well at these conferences and another thing that should be avoided at all costs. Unsurprisingly, this topic took this edition of the podcast overtime.

Show notes for Series 3, Episode 6.

Topic 1: AI Assistants become Agents
Matt’s recent blog post concerning Salesforce’s strategy around the GenAI assistants and agents.
“Copilots may have misdiagnosed the problem; humans don’t do what we thought they did” Matt’s blog post about how we might be over-estimating how much human-like experience we can gain from knowledgebases.
This short clip from the film “Spinal Tap” should explain Matt’s reference to lukewarm water.

Topic 2: Automation; zero spotlight and doing fine?
Alan’s recent blog post, discussing his thoughts having visited Automation Anywhere’s “Imagine 2024” conference.
UiPath’s 2024 Q4and full year financial results press release.
The Work Intelligence Market Analysis that contains the sub-sector growth chart cited.


Subscribe to our monthly newsletter

Leave a Comment

Subscribe to our monthly newsletter

We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.

Work Intelligence Market Analysis 2024-2029