38 episodes

This irregular podcast series examines what is happening in the unstructured data automation market. Three topics - Thirty Minutes, that's the format!Topics range from the state of Blockchain, IDP, ECM, and the impact of AI on unstructured data. Deep Analysis provides advisory services, industry research, and M&A guidance. info@deep-analysis.netDeep-Analysis.Net

We Love Ugly Data! The Deep Analysis Podcast Alan Pelz-Sharpe

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This irregular podcast series examines what is happening in the unstructured data automation market. Three topics - Thirty Minutes, that's the format!Topics range from the state of Blockchain, IDP, ECM, and the impact of AI on unstructured data. Deep Analysis provides advisory services, industry research, and M&A guidance. info@deep-analysis.netDeep-Analysis.Net

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

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

    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
    Support the show

    • 35 min
    We Love Ugly Data! The Deep Analysis Podcast - Episode 13 March 2024

    We Love Ugly Data! The Deep Analysis Podcast - Episode 13 March 2024

    The thirteenth 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 Dan in the chairs this time, in a very IDP focused episode.

    In this month’s episode:

    Topic 1: Irrational Exuberance?

    First, Dan provides an introduction to the IDP Market Analysis that he’s recently completed (and you can purchase copies of right now). The pair then move on to talk about one of the key findings in the report itself, which suggests that the vendors surveyed for the research are very bullish about their projected increases in short-term revenue. Dan balances this against his own market projections and Matt compares start-ups with hungry baby birds (it makes sense in context, trust us).

    Topic 2: GenAI’s outsized impact

    Referencing another data point from the IDP report, Dan talks about how GenAI continues to wield a huge influence in the product roadmaps for IDP vendors and points to a couple of recent specific announcements (see show notes below) to illustrate that fact. Matt chips in with a reminder of the fact that metered access to GenAI is coming over the horizon.

    Topic 3: Data and Research Efficacy

    Referencing a recent blog post on the subject, Matt and Dan discuss the challenges in gathering and maintaining research data for market analysis reports, ensuring that it is representative and how they go about choosing what is and what isn’t added into the final published analysis. There’s also some insight into who are the real buyers (and readers) of this sort of specialized research.


    Show notes for Series 3, Episode 3.

    Topic 1: Irrational Exuberance?
    Announcing the 2024 IDP Market Report blog post by Dan
    Purchase the report itself, here.
    We Love Ugly Data! – The Deep Analysis Podcast: Series 2, Episode 5 previous pod episode where Matt and Dan discuss the history of IDP

    Topic 2: GenAI’s outsized impact
    More startups are using GenAI for IDP blog post by Dan
    Rossum launches its own LLM blog post by Dan
    Tungsten Automation (Kofax) launches GenAI Copilots for intelligent automation blog post by Dan

    Topic 3: Data and Research Efficacy
    Understanding scale and location: Another new lesson from Work Intelligence blog post by Matt
    Support the show

    • 34 min
    We Love Ugly Data! The Deep Analysis Podcast - Episode 12 February 2024

    We Love Ugly Data! The Deep Analysis Podcast - Episode 12 February 2024

    The twelfth 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 around.

    In this month’s episode:

    Topic 1: Don’t Trust in Magic

    Here, the discussion centers upon Matt’s recent blog post, where he discusses that some organizations expect generative AI to find a role in their working methods without a clear idea up front as to what that might be. During a discussion about how Task and Process Mining can prevent this situation, Alan muses on Free Jazz while Matt worries about the dangers of just giving everybody a hammer to play with.

    Topic 2: Business Forms & AI

    Alan talks about the recent news that the business forms industry group BFMA has been folded into the information management association AIIM and how we often overlook how important forms are to how organizations work. Naturally the discussion ends up in a reminder that for many people (customer, works and partners) these forms are the entire interface that they have with important parts of an organization or even their entire experience of working with them.

    Topic 3: Work & Trust

    Following a blog post of Matt’s early in January about how the Horizon/Post Office scandal in the UK illustrates how mistrust of workers undermines a lot of what organizations would like to do to improve their ways of working, the pair discuss the topic and remind people that aside from anything else, if you’re in London, you should definably visit The Postal Museum and ride the Mail Rail. Alan goes on to mention situationism because, of course, he does.


    Show notes for Series 3, Episode 1.

    Topic 1: Don’t Trust in Magic

    Matt’s blog post “Don’t Trust in Magic: A new lesson from Work Intelligence”
    Ethnic Heritage Ensemble

    Topic 2: Business Forms & AI

    Alan’s blog post “Business Forms & AI”
    The announcement of the BFMA joining AIIM

    Topic 3: Work & Trust

    Matt’s blog post “Following new horizons through Work Intelligence”
    The London Postal Museum
    Guy Dubord
    Support the show

    • 31 min
    We Love Ugly Data! The Deep Analysis Podcast - Episode 11 January 2024

    We Love Ugly Data! The Deep Analysis Podcast - Episode 11 January 2024

    The eleventh episode of the podcast we now know and love as "We Love Ugly Data!" is out; it's the first of season 3 and kicks off our 2024!

    The eleventh episode of the podcast – the first of 2024 and therefore the first of season 3 – 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 around.

    In this month’s episode:

    Topic 1: 2024 is a money year?

    First up, the pair discuss Alan’s recent 2024 blog opener, in which the changing face of funding, divestitures, and a general subtle change in focus for private equity and venture capital make the year a very interesting prospect. Matt pins the analyst industry with some blame for firms' intense clustering on some use cases, where much of the landscape remains greenfield.

    Topic 2: Salesforce & Ugly Data

    Looking back at one of the last sets of vendor announcements of 2023, Matt runs through his analysis of Salesforce’s stated intent to take on unstructured data as a knowledge source for AI, and Alan reflects on how we’re heading into another cycle of discovering this stuff is hard to do well.

    Topic 3: Time to re-think our life of files?

    Ahead of the release of the year's first Analyst Briefing and in the midst of its final editing, the pair discuss their thoughts about how files as containers of information aren’t really suitable for most of the purposes we use them for and are frankly really overweight (and not just holiday weight, real weight issues). It also contains Matt’s attempt to drag Forrest Gump into a related analogy, which, in hindsight, was ill-advised.


    Show notes for Series 3, Episode 1.

    Topic 1: 2024 is a money year?

    Alan’s blog post “2024 – A Year of Change for Enterprise Software.”

    Topic 2: Salesforce & Ugly Data

    Matt’s blog post “Now They Love Ugly Data Too! Salesforce embraces the unstructured”.
    Salesforce’s World Tour NYC announcement press release.

    Topic 3: Time to re-think our life of files?

    COMING SOON – Analyst Briefing “ECM in 2024 and Beyond – Reframing the Equation” (free registration required for download).
    The previous “We Love Ugly Data!” episode where Matt and Dan discuss the repetition of “n% of data is unstructured”.
    Support the show

    • 35 min
    We Love Ugly Data! - The Deep Analysis Podcast - Episode 10 - December 2023

    We Love Ugly Data! - The Deep Analysis Podcast - Episode 10 - December 2023

    The tenth episode of the podcast we now know you love as "We Love Ugly Data!" is out!

    As always, it’s three topics in 30 minutes, but this time, it’s a 2024 Predictions Special – a selection from the full-length Market Trends research paper you can now download – where Matt is joined by Alan and Dan. Show notes are, as usual, included below the embedded video.

    In this episode,

    Prediction 1: “Generative AI will face its first cold winter”

    Matt’s up first, and here is discussed the prediction that right now, Generative AI is facing up to its first cold winter, where customers try to make sense of how this much-hyped technology actually fits into how they actually work. It’s not a litany of negativity by any means; there are some real, tangible ways it’s being used right now (hint: it’s citizen developers again!).

    Prediction 2: “For the first time in human history, machines will read and process more documents than knowledge workers.

    Dan’s pitch was that we’re at the tipping point where machine reading of documents will overtake that read by human beings, in large part as the current wave of IDP hits organizations.

    Prediction 3: “Knowledge Graphs and Data Meshes gain traction”

    Last up is Alan, and he’s picked out the prediction that Knowledge Graphs and Data Meshes (and Data Fabrics, for that matter) will accelerate in terms of their adoption in organizations as they attempt to coalesce their internal information, not least as it’s one of the significant predicates for the use of AI.
    Support the show

    • 31 min
    We Love Ugly Data! - The Deep Analysis Podcast - Episode 9 - November 2023

    We Love Ugly Data! - The Deep Analysis Podcast - Episode 9 - November 2023

    The ninth episode of the podcast we now 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 30 minutes. Matt is chatting with Alan this time; skip to the topics you’re most interested in, or maybe sit back and enjoy the whole thing. Show notes are, as usual, included below the embedded video.
    In this episode,
    Topic 1: SharePoint Premium?
    In a pod that is quite Redmond-heavy, Alan’s been out and about at a few Microsoft events and gives us the details about SharePoint Premium, what it is, where it came from, and what it means for customers and partners going forward. We’ve been following this particular story for a few years….
    Topic 2: Copilots! Everywhere!

    Doing their best to sidestep the ongoing shenanigans at OpenAI, Matt and Alan discuss the army of Copilots – and related tools – that Microsoft announced at their recent Ignite conference and what that means in the real work contexts that will define their ultimate success (basically, are they useful).
    Topic 3: Citizen Developers?

    As promised a few episodes ago, Matt and Alan are back with some of the results from the “Citizen Developers” survey they asked for help on a few months back. Here they discuss a couple of interesting findings, focusing on governance. Oh, and despite what they suggest here, you’re allowed to listen even if you didn’t contribute to the survey; we’re not that mean.


    Show notes for Series 2, Episode 9.
    Topic 1: SharePoint Premium?
    Alan’s blog post explains everything about SharePoint Premium.
    Alan’s other blog post is about the Microsoft Ignite in general.
    Oh, and in case you missed it, here’s Alan’s other recent Microsoft conference blog, this time about Power Platform.
    Topic 2: Copilots! Everywhere!

    What are our feelings about the going on with the leadership of OpenAI and whether you should care?
    Here, Matt talks about the need to focus on the real and useful with AI and ignore the noise elsewhere.
    Support the show

    • 31 min

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