Folgen
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The nineteenth 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 the show notes are, as usual, included in the embedded video below. This time around, Matt and Alan are in the chairs, discussing a new research report we've just released on AI and unstructured data, how AI agents are coming and how they might be after your wallet, and the dos and don'ts of storytelling when you're presenting your software product.
In this month's episode:
Topic 1: AI & Unstructured Data, Survey Out Now
First up, Matt and Alan discuss the brand new report that Deep Analysis has collaborated on with AIIM and MFiles; "Market Momentum Index: AI and Unstructured Data Management". The report - which you can download from AIIM or MFiles directly - provides insight into the adoption and use of AI in organizations and provides information on how those same organizations manage unstructured data for AI and their view of its importance. They pick up on a couple of data points on AI adoption and how vast the sprawl of unstructured data is across IT estates (as well as mentioning that there's more related research already in the works).
Topic 2: Agents and Cash
In the second topic this month, Matt has recently posted a new blog post, "Here are the agents. They've come to collect," about a shift in how AI is likely to be paid for as the generative wave moves from assistants to agents. With Salesforce's "Dreamforce" conference only days away at the time of recording (and neatly avoiding saying anything that will break any news embargos), the pair chat about how the economics had shifted from when we first predicted a metered future for generative AI a year ago and the company's announcement of its "hard pivot" to AI agents with Agentforce. Matt also tries to extend an analogy about buffets far too far for its own good.Topic 3: Analyst Briefings, Dos and Don'ts (Pt 2)
Over recent podcasts, Matt, Alan, and Dan discussed their dos and don'ts for analyst briefings (which we recently rounded up here, so you don't have to search through old podcasts to find them). It turned out to be quite popular, so to try and help further - and inspired by Dan's suggestion that good storytelling was a definite do - here Matt and Alan suggest their suggestions for dos and don'ts. It sadly quickly heads off-piste, and you end up with further conference recommendations (that we covered in part previously).https://www.youtube.com/watch?v=iaU_jlchk1M
Show notes for Series 3, Episode 9.
Topic 1: AI & Unstructured Data, Survey Out Now
Our Market MomeSupport the show
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The eighteenth episode of the podcast that you know and love as âWe Love Ugly Data!â is out; available everywhere you get your podcasts from and, of course, in video form via YouTube (which weâve embedded below). As always, itâs three topics in (just a touch over) 30 minutes, and the show notes are, as usual, included in the embedded video below. This time around, Matt and Alan are in the chairs, discussing 4 new Vendor Profiles (Tungsten Automation, Cognaize, Composable, and iGrafx), catching up on how the meeting of unstructured data and generative AI is working out, and â our second edition of â Analyst Briefings; Doâs and Donâts.
In this monthâs episode:
Topic 1: New Research!
We recently published the latest batch of profiles for our Vendor Analysis research (the artist formerly known as Vendor Vignettes, although we often forget that thatâs supposed to be the former title and still use the phrase all the time). Here, Matt and Alan discuss the new profiles on Tungsten Automation, Cognaize, Composable, and iGrafx (a real mix of the old and the brand new here).
Topic 2: GenAI and Data: an update
Matt has just begun his third year with Deep Analysis, and to celebrate, he and Alan look at the path that generative AI and its intersection with unstructured data have taken over the last few years: from the first flush of âisnât it amazing/scary!â to âhereâs a complicated way to avoid asking it anything muchâ and onto the exciting world of agents and large action models.Topic 3: Analyst Briefings, Doâs and Donâts (Pt 2)
As analysts, we spend much of our time briefed by software vendors. Last month, Dan and Matt discussed the dos and donâts of presenting your company and products to analysts, and now, itâs Alanâs turn to pitch in with his free advice on the subject.Show notes for Series 3, Episode 7.
Topic 1: New Research!
Hereâs the intro blog for the new vendor research: New Research.
Subscribers have access to all the vendor research, but you can browse the catalog here.
Danâs blog post heavily features Cognaize, as discussed in the previous pod.
If youâd like access to the Composable profile, you can download it for free!Topic 2: GenAI and Data: an update
Mattâs first blog post from (almost)2 years ago; âAI-Enabled BizApps driving the next wave of adoption.â
âThe AI with a two-track mindâ (AI without access to business data is a âparlor trickâ).
âModels and the RAG tradeâ (the 5 micro ages of massive models).Support the show
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Fehlende Folgen?
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The seventeenth 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. This time around, Matt and Dan are in the chairs, discussing how to train your LLM, The Usual Suspects (chosen by the usual analyst firms), and Analyst Briefings: Do's and Do not.
In this month's episode:
Topic 1: How to train your LLM
Inspired by a blog post of his from last year, Dan discusses the finer points of how LLMs can be trained to ensure that your IDP processes work better. He also confirms his membership in the court of King Charles, which, to be honest, wasn't necessary.
Topic 2: The Usual Suspects
Again, inspired by another blog postâthis time a bit more recentâDan wants us to remember to look beyond those in the top right-hand corner of the 2x2 diagram when we're selecting software. It's naturally focusing on IDP again, but the lesson can easily be applied across the board. Matt also suggests that we may not have paid for the associated image, but he turns out to be entirely wrong (so call off the lawyers).
Topic 3: Conference programs; what works and what doesnât?
As analysts, we spend much of our time being briefed by software vendors. Here, Dan and Matt discuss the do's and do nots of presenting your company and products to analysts (hint, hint: go to town on talking about case studies and the actual details of projects you've done).
https://www.youtube.com/watch?v=-OmIWNC5QsA
Show notes for Series 3, Episode 7.
Topic 1: How to train your LLM
Dan's original blog post "How to Train your LLM."
Topic 2: The Usual Suspects
Dan's original blog post, "Don't Settle for the Usual Suspects."Support the show
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The sixteenth episode of the podcast that you know and love as âWe Love Ugly Data!â is out; available everywhere you get your podcasts from and, of course, in video form via YouTube (which weâve embedded below). As always, itâs 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, discussing how GenAI assistants are becoming agents, how RPA is growing in the shade, and what parts of vendor conferences work (and which bits donât).
In this monthâs 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?) theyâre all called Copilots. The pair discusses the phenomenon, based on the differences, of how the agent approach might suit some mature use cases better than others and how quickly a âdecision treeâ 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 spotlights and doing fine?
Alanâs been on the road again, most recently visiting Automation Anywhereâs âImagine 2024â 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 it also be that the scramble for GenAI use cases is throwing up good opportunities for RPA that could deliver faster value?Topic 3: Conference programs; what works and what doesnât?
As analysts, we are privileged to attend many in-person conferences and have primo seats and often luxuries like refreshments and power sockets (I know, itâs a gilded existence). Given that experience, Matt and Alan each pick one thing that works well at these conferences and another that should be avoided at all costs. Unsurprisingly, this topic took this edition of the podcast over time.Show notes for Series 3, Episode 4.
Topic 1: AI Assistants become Agents
Mattâs recent blog post concerns Salesforceâs strategy regarding GenAI assistants and agents.
âCopilots may have misdiagnosed the problem; humans donât do what we thought they did.â Mattâs blog post about how we might be overestimating how much human-like experience we can gain from knowledgebases.
This short clip from the film âSpinal Tapâ should explain Mattâs reference to lukewarm water.Topic 2: Automation; zero spotlight and doing fine?
Alanâs recent blog post discusses his thoughts on having visited Automation Anywhereâs âImagine 2024â conference.Support the show
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The fifteenth episode of the podcast that we know and love as âWe Love Ugly Data!â is out; available everywhere you get your podcasts from and, of course, in video form via YouTube (which weâve embedded below). As always, itâs 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 new vendor profiles and AI readiness.
In this monthâs episode:
Topic 1: 5 New Vendor Vignettes
First up, Matt and Alan discuss the latest set of â what used to be called â Vendor Vignettes, that have recently been published; debuts for ai12z, Docuvela and Reshape AI and completely updated profiles for Appian and Apromore. The pair discuss how these research updates connect to current trends and how they fit into the existing application landscape for organizations who might look to adopt them.
Topic 2: 5 Questions for AI Readiness
In conjunction with AIIM (Association for Intelligent Information Management), Deep Analysis (along with Kash Kompella of RPA2AI) have compiled an infographic that provides organizations with 5 key questions they need to be able to positively answer before they should begin any AI project (especially generative AI). Here Matt and Alan discuss the individual steps, why they are all important and also, why the document sports a cartoon Alan at the center.Topic 3: Why are process tools having such a hard time?
Alanâs been on the road a lot in the last few weeks and â as he does â having a lot of conversations with the people he meets. From these conversations, he reckons that as much as Deep Analysis highly rate the importance of Task and Process Mining, they are proving a hard sell in the marketplace (especially Process Mining). Here the pair discuss why that might be, what approaches theyâve heard are being used to offset these challenges and what the future might look like (the real future, not whatever weird and wild guesses Gartner are making this time).Show notes for Series 3, Episode 4.
Topic 1: 5 New Vendor Vignettes
Alanâs introductory blog post on the latest set of Vendor Vignettes.Topic 2: 5 Questions for AI Readiness
Download the AIIM infographic â5 Questions â Is Your Organization Ready for AI?â [COMING SOON]
Alanâs recent blog posts; âOrchestrating AI â Appianâ and AI Readiness â âReady for what, exactly?â.Topic 3: Why are process tools having such a hard time?
To join the mailing list and receive the newsletter (or challenge us as to how your attempts to popularize Task ad Process Mining are going), contact us.Support the show
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The fourteenth episode of the podcast that we know and love as âWe Love Ugly Data!â is out; available everywhere you get your podcasts from and, of course, in video form via YouTube (which weâve embedded below). As always, itâs 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 monthâs episode:
Topic 1: Work Intelligence Market Analysis 2024-2029, Out Now!
We kick off this episode by discussing the newly released âWork Intelligence Market Analysis 2024-2029,â 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, âModels and the RAG tradeâ, discussing how the proposed enterprise use of generative AI has shifted quickly from it being a magic box to how itâs 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 â covered in another recent blog from Matt â of the hiring of (well-funded LLM start-up) Inflectionâs 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
âWorkfellow â a sad lossâ, Alanâs blog post signaling farewell to one of our favorite start-ups.Topic 3: RAG SLAM
Mattâs blog posts, âModels and the RAG tradeâ and âGenerative AI: focus on the consumer and the consumptionâ.
2020 research paper from Meta/UCL that firsSupport the show
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The thirteenth episode of the podcast that we know and love as âWe Love Ugly Data!â is out; available everywhere you get your podcasts from and, of course, in video form via YouTube (which weâve embedded below). As always, itâs 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 monthâs episode:
Topic 1: Irrational Exuberance?
First, Dan provides an introduction to the IDP Market Analysis that heâs 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: GenAIâs 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 isnât added into the final published analysis. Thereâs 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! â The Deep Analysis Podcast: Series 2, Episode 5 previous pod episode where Matt and Dan discuss the history of IDP
Topic 2: GenAIâs 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 MattSupport the show
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The twelfth episode of the podcast that we know and love as âWe Love Ugly Data!â is out; available everywhere you get your podcasts from and, of course, in video form via YouTube (which weâve embedded below). As always, itâs 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 monthâs episode:
Topic 1: Donât Trust in Magic
Here, the discussion centers upon Mattâs 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 Mattâs 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 youâre 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: Donât Trust in Magic
Mattâs blog post âDonât Trust in Magic: A new lesson from Work Intelligenceâ
Ethnic Heritage Ensemble
Topic 2: Business Forms & AI
Alanâs blog post âBusiness Forms & AIâ
The announcement of the BFMA joining AIIM
Topic 3: Work & Trust
Mattâs blog post âFollowing new horizons through Work Intelligenceâ
The London Postal Museum
Guy DubordSupport the show
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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 â the first of 2024 and therefore the first of season 3 â that we know and love as âWe Love Ugly Data!â is out; available everywhere you get your podcasts from and, of course, in video form via YouTube (which weâve embedded below). As always, itâs 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 monthâs episode:
Topic 1: 2024 is a money year?
First up, the pair discuss Alanâs 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 Salesforceâs stated intent to take on unstructured data as a knowledge source for AI, and Alan reflects on how weâre 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 arenât 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 Mattâs 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?
Alanâs blog post â2024 â A Year of Change for Enterprise Software.â
Topic 2: Salesforce & Ugly Data
Mattâs blog post âNow They Love Ugly Data Too! Salesforce embraces the unstructuredâ.
Salesforceâs World Tour NYC announcement press release.
Topic 3: Time to re-think our life of files?
COMING SOON â Analyst Briefing âECM in 2024 and Beyond â Reframing the Equationâ (free registration required for download).
The previous âWe Love Ugly Data!â episode where Matt and Dan discuss the repetition of ân% of data is unstructuredâ.Support the show
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The tenth episode of the podcast we now know you love as "We Love Ugly Data!" is out!
As always, itâs three topics in 30 minutes, but this time, itâs a 2024 Predictions Special â a selection from the full-length Market Trends research paper you can now download â where Matt is joined by Alan and Dan. Show notes are, as usual, included below the embedded video.
In this episode,
Prediction 1: âGenerative AI will face its first cold winterâ
Mattâs 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. Itâs not a litany of negativity by any means; there are some real, tangible ways itâs being used right now (hint: itâs citizen developers again!).
Prediction 2: âFor the first time in human history, machines will read and process more documents than knowledge workers.
Danâs pitch was that weâre 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: âKnowledge Graphs and Data Meshes gain tractionâ
Last up is Alan, and heâs 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 itâs one of the significant predicates for the use of AI.Support the show
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The ninth episode of the podcast we now know and love as âWe Love Ugly Data!â is out; available everywhere you get your podcasts from and, of course, in video form via YouTube (which weâve embedded below). As always, itâs three topics in 30 minutes. Matt is chatting with Alan this time; skip to the topics youâre 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, Alanâs 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. Weâve been following this particular story for a few yearsâŠ.
Topic 2: Copilots! Everywhere!
Doing their best to sidestep the ongoing shenanigans at OpenAI, Matt and Alan discuss the army of Copilots â and related tools â 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 âCitizen Developersâ 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, youâre allowed to listen even if you didnât contribute to the survey; weâre not that mean.Show notes for Series 2, Episode 9.
Topic 1: SharePoint Premium?
Alanâs blog post explains everything about SharePoint Premium.
Alanâs other blog post is about the Microsoft Ignite in general.
Oh, and in case you missed it, hereâs Alanâs 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
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The eighth 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 ever, it's three topics in 30 minutes; Matt and Dan are in the chairs this time; skip to the topics you're most interested in, or maybe sit back and enjoy the whole thing. Show notes are, as ever, included below the embedded video.
In this episode,
Topic 1: Dan, is generative AI hype or hero for IDP?
Using some visual aids that he borrowed from Kofax, Dan talks through the impact that generative AI has on IDP, both now and in the future. In the process, the subject turns to whether IDP could be the first real-world application of generative AI that earns its keep in the enterprise.
Topic 2: Check the meter; here comes winter!
It's starting to get cold and wet in the UK (yes, we can hear your "so what's new?" comments, and we're choosing to ignore them), and Matt has noticed the impact on his smart meter. At the same time, he wonders whether organizations realize too that soon their generative AI tools will hit the meters and wants to remind them to build that into their planning. There's also a brief but entirely justified bit of competition bashing.Topic 3: Dan, why do people continue to underestimate the EU?
Dan has been speaking to a whole bunch of IDP vendors in the EU and has concluded that developing their product in the region has resulted in some interesting and innovative outcomes that are symptomatic of building there. He and Matt discuss what those EU-specific circumstances might be.Matt's blog post/analyst note:
"Here Comes The Meter Man â A Lesson in GenAI Planning."
The WSJ article (paywall, subscription required) discussed - among other things - the costs of Microsoft Copilot.
Information Week and their coverage of Forrester Research's CEO's recent comments at one of their conferences.Support the show
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The seventh 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.
The (magnificent) seventh episode of the podcast we now know and love as âWe Love Ugly Data!â is out; available everywhere you get your podcasts from and, of course, in video form via YouTube (which weâve embedded below). As ever, itâs three topics in 30 minutes; Matt and Alan are in the chairs this time; skip to the topics youâre most interested in, or maybe sit back and enjoy the whole thing? Come on, itâs only 30 minutes, and you deserve a break. Show notes are as ever, included below the embedded video.
In this episode,
Topic 1: AI & Supply Chain
In a segment that we could easily have called âWhere In The World Has Alan Been?â (if weâd not done that several times before), Alanâs been speaking at Parcel Forum in Nashville, and even though 10 minutes isnât anywhere near enough time to distill the entire keynote into a podcast, here he and Matt discuss some of the key elements of that presentation.
Topic 2: Citizen Developer Survey
Deep Analysis is currently running an industry survey around current trends, adoption, and attitudes toward âCitizen Development,â and here Matt and Alan discuss why weâre doing it, why you should contribute, and some of the positive (and negative) rationales behind using this technology.Topic 3: Stop Personifying AI!
Mattâs written a (slightly angry) blog post in the wake of Salesforceâs recent âDreamforceâ conference about how we should all be really careful about the language we use to describe AI, not ascribe human qualities to it (like intent) and certainly not use imagined power as a way to sell defensive features in your software. But youâd never do that, now, would you?Show notes for Series 2, Episode 6.
Topic 1: AI & Supply Chain
Parcel Forum
Topic 2: Citizen Developer Survey
You can contribute to the Citizen Developer survey here (and your contribution will be gratefully received). As mentioned in the pod, we will be sharing the results and analysis once the survey has been concluded.Topic 3: Stop Personifying AI
Mattâs recent blog âAI, building trust and selling defense.â
They also mentioned a previous blog post âAI, regulation and the predictions of doomâ.
An introduction to the concept of âThe Chinese Roomâ (with associated criticism).
The very excellent Javvad Malik (with links to all his posts, videos etc.) can be found here.Support the show
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The sixth 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 call everything "content"?
The sixth episode of the podcast we now know and love as âWe Love Ugly Data!â is out; available everywhere you get your podcasts from and, of course, in video form via YouTube (which weâve embedded below). As ever, itâs 3 topics in 30 minutes; Matt and Alan are in the chairs this time; skip to the topics youâre most interested in, or maybe sit back and enjoy the whole thing? Come on, itâs only 30 minutes, and you deserve a break. Show notes are, as ever, included below.
In this episode;
Topic 1: 5 (more) Vendors to Watch
Weâve recently added 5 more Vendor Vignettes to the website for subscribers to digest, but for everyone else here, Alan and Matt do a rapid-fire summary of each (you can read it more leisurely here).
Topic 2: Here comes trouble?
Alan recently wrote a blog post (the device that we until recently called an âanalyst noteâ, before we reverted to blog for the sake of simplicity) called âIndustry Consolidation is Coming.â Here he and Matt discuss some of the financial and operational challenges that start-ups are facing and 4 important lessons that they should heed.
Topic 3: AI Citizen Developers
Another topic concerns a recent blog post, this time written by Matt, about how Generative AI, vendor LLMs, and No Code. Our pair discusses why vendors would be focusing their energy here, what it means for Low and No Code platforms andâŠ.. where are all the citizen developers?Support the show
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The show notes for this episode are available below if you want to follow the conversation. As ever, it's three topics in 30 minutes, this time with Matt and Dan; skip to the topics you're most interested in, or maybe sit back and enjoy the whole thing with a beverage of your choice.
Topic 1: What are the â4 Waves of IDPâ?
Dan recently posted an Analyst Note entitled "The Fourth Wave of IDP is Here," and here he talks Matt through those 4 waves, from the original OCR of the 1960s and Forms and Templates of the 1980s and 1990s, through Machine Learning to the LLMs (or GPTs if you prefer) that have dominated release cycles this year.
Topic 2: LLMs, grounding, and data residency
Matt wonders whether, among the plethora of big announcements around AI from the largest software vendors, some of the biggest challenges faced in their implementation have been overlooked in much of the commentary? Using examples from Microsoft and Salesforce (both have talked and published extensively on the subject), Matt points out that using your own data to help "ground" requests being sent to LLMs like OpenAI's GPTs creates a series of challenges around data residency regional legal frameworks and plain "my brain hurts thinking about it" allied issues.
Topic 3: Documents, content, files, records, semi-structured or unstructured data: do labels matter anymore?
Dan discusses his recent Analyst Note, "Documents, content, files, records, semi-structured or unstructured data: do labels really matter anymore?" and ponders why we call things the names we do. Matt wonders whether it's actually all the fault of Industry Analysts in the first place.Support the show
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The show notes for this episode are available below if you want to follow the conversation. As ever, it's three topics in 30 minutes, this time with Matt and Alan; skip to the topics you're most interested in, or maybe sit back and enjoy the whole thing with an iced beverage of your choice (it's a little hot right now, treat yourself?
In this episode;
Topic 1: Research Updates
A new set of Vendor Vignettes was recently added to the site - for Skan, Botminds, Hyperscience and IPwe. Matt and Alan discuss the relative significance of each in their respective markets and remind us that these will be the last published for all to read for free (future VVs will be for Deep Analysis subscribers only).
Topic 2: Missing Miners?
Now he's back on terra firms after his travels, Alan ponders the act that so few of the people he'd met had any knowledge of Task or Process Mining. Having written an Analyst Note on the subject, He and Matt discuss whether this confirms the projections in the "Work Intelligence Market Analysis" and how RPA vendors are changing their go-to-market strategy - as Alan previously noted with UiPath - plays into their hands?
Topic 3: Yes, More AI
As it currently appears to be international law, Matt and Alan discuss the last few weeks in AI and unstructured data. Matt published an Analyst Note imploring people not to listen to the "end of the world" AI doom grifters, and the pair discuss how best to try and be cool and circumspect in your planning for the subject while the world around shouts very loudly.Support the show
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Episode 3 is here! Matt and Alan chat about Data Fabrics, AI desktop assistants, recent conferences, Ice-T, and all in just 30 minutes...
Topic 1: Where in the world has Alan been?
- Napoli win's first Scudetto since 1990 https://www.bbc.co.uk/sport/football/65488842
- AIIM Conference https://www.aiimconference.com/event/fdbca9bf-a503-49db-aaa2-c3aa0bb23030/summary
- Reworked Connect Conference https://www.reworked.co/connect/
Topic 2: Here come the gen AI helpers! How do you cope?
- Generative AI on Your Desktop: Uninvited Guest, Welcome Coworker, or Competitor? - https://www.deep-analysis.net/generative-ai-on-your-desktop/
- Google Duet AI for Workspace https://workspace.google.com/blog/product-announcements/duet-ai
- Microsoft 365 CoPilot https://blogs.microsoft.com/blog/2023/03/16/introducing-microsoft-365-copilot-your-copilot-for-work/
- Salesforce Einstein for GPT https://www.salesforce.com/uk/news/press-releases/2023/03/07/einstein-generative-ai/
Topic 3: Data Fabrics & Work Intelligence. A solution?
- Appian Data Fabric intro video https://www.youtube.com/watch?v=Dxxf5wk8Z_4
- Work Intelligence Introduction https://www.deep-analysis.net/work-intelligence-improving-processes/
- Work Intelligence Market Analysis https://www.deep-analysis.net/work-intelligence-market-analysis-2023-2028/Support the show
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Each month we spend 30 minutes discussing three hot topics. In this episode, Matt Mullen & Dan Lucarini look at:
Topic 1: Why on earth are there 300+ IDP vendors?
Dan discusses the remarkable explosion of startups in the IDP (Intelligent Document Processing) market and looks at their future chances of survival.
https://www.deep-analysis.net/intelligent-document-processing-market-analysis-2022-2026/
Topic 2: Europe. It's a whole different content
Startups and technology vendors come from all over the world, but their operating dynamics and funding sources differ remarkably, region by region. Dan and Matt provide some perspective and analysis.
https://www.deep-analysis.net/a-nonuniform-world-lesson-two-from-building-the-work-intelligence-market-analysis/
https://www.deep-analysis.net/connected-markets-lesson-one-from-compiling-work-intelligence/
Topic 3: 80% of Data is Unstructured? Is it? Is it Really?
Possibly the biggest myth in the industry and one that needs to be busted, our hosts ruthlessly dissect the roots and reality of the 80% fantasy.
Enjoy!Support the show
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We are back, after a very long break the Deep Analysis podcast returns, with a new format and new presenters. Each month we will spend 30 minutes discussing three. currently hot topics. In this episode Matt Mullen & Alan Pelz-Sharpe look at:
Topic 1: Why is Alan in Brazil?
https://iima.com.br/information-show
Topic 2: Work Intelligence
Work Intelligence Market Analysis: https://www.deep-analysis.net/work-intelligence-market-analysis-2023-2028/
Work Intelligence Intro Report: https://www.deep-analysis.net/work-intelligence-improving-processes/
Topic 3: Is Google's Generative AI App Builder for the masses?
Google Gen App Builder announcement https://cloud.google.com/blog/products/ai-machine-learning/create-generative-apps-in-minutes-with-gen-app-builder
Salesforce Einstein GPT Press Release https://www.salesforce.com/news/press-releases/2023/03/07/einstein-generative-ai/
Enjoy!Support the show
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In this episode, we talk to one of the founders of the Boston Blockchain Association, Peter Brooks. Peter gives is a grounded and valuable perspective on the reality of Enterprise Blockchain in 2020, its challenges and opportunities.
Support the show
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