We Love Ugly Data! The Deep Analysis Podcast
Alan Pelz-Sharpe
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.
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Top 10 We Love Ugly Data! The Deep Analysis Podcast Episodes
Goodpods has curated a list of the 10 best We Love Ugly Data! The Deep Analysis Podcast episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to We Love Ugly Data! The Deep Analysis Podcast for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite We Love Ugly Data! The Deep Analysis Podcast episode by adding your comments to the episode page.
We Love Ugly Data! The Deep Analysis Podcast - Episode 20 October 2024
We Love Ugly Data! The Deep Analysis Podcast
10/18/24 • 33 min
The twentieth episode of the podcast that you know and love as "We Love Ugly Data!" is out; available in audio form everywhere you get your podcasts from and additionally 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 just below the embedded video. Matt and Alan are back again, this time discussing; the latest vendor research reports on DRUID, M-Files and Writer, how automation and AI agents are friends forever and the (really positive) state of the automation software market in Brazil.
In this month's episode:
Topic 1: New Vendor Research!
First up, Matt and Alan discuss the recently published set of vendor profiles (or whatever it is we're supposed to call them these days). DRUID is up first; an all-in-one platform for the development of conversational AI assistants and agents, which can be embedded into business processes. M-Files is a Microsoft-focused knowledge work automation that provides an innovative “no-folders” approach to document and knowledge management. Finally, Writer enables enterprises to create custom GenAI applications to assist workers in producing precise, detailed, and compliant content which can be plugged into routine tasks to help streamline processes (it's also out there raising an apparently huge funding round right now and - as Alan notes - is also an acquisition target right now too). Matt also mention Writer is one of a host of vendors now using synthetic data to speed up development new models (with all the potential issues that creates).
Topic 2: AI Agents and Automation; forever friends
Following on from last month's discussion about AI Agents in the run-up to Salesforce's Dreamforce conference, Matt's published something wrapping up how integral automation (think workflow, RPA etc) is to the success of any AI Agent exercise and the pair discuss their takes on how those efforts might play out for those looking to adopt. There's a chance to have a look at the Agentforce announcements in the rear-view mirror, reviewing the takes from Matt in his home office at the east Kent seaside and Alan on the ground in San Francisco.
Topic 3: Automation in Brazil
Back in August Alan visited Brazil to speak and catch-up with the state of the automation software market in the country (the world's 8th or 9th biggest economy, depending on whether you're using the IMF of the World Bank's numbers). Turns out that it is thriving and in the context of the other discussions about AI Agents, this puts the country in a potentially advantageous position.
https://www.youtube.com/watch?v=fkvWyu0e1s4
Show notes for Series 3, Episode 10.
Topic 1: New Vendor Research!
"New Research Dropping Today" blog post (with summaries of the three profiles).
The Deep Analysis vendor research database; links to all the vendor research we've published (you can browse as a non subscriber, but you'll need to be a subscriber to get the full reports).
The CNBC report "AI startup Writer, currently fundraising at a $1.9
Enterprise Blockchain - A Boston Perspective
We Love Ugly Data! The Deep Analysis Podcast
05/21/20 • 19 min
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.
A Legal Perspective on the Ethics of AI
We Love Ugly Data! The Deep Analysis Podcast
05/20/20 • 29 min
In this podcast, we have an extended conversation with XPAN Law Group and Seventh Samurai attorney Michael Simon. A wide range and highly informative discussion that looks at some of the legal precedents and challenges of applicable legal standards to Artificial Intelligence.
Note: The interview was recorded remotely - unfortunately the sound quality is not what we would like, but the discussion is worth it :-)
Silicon Valley Versus The Nordic Tech Startup Scene
We Love Ugly Data! The Deep Analysis Podcast
05/18/20 • 17 min
Part two of my conversation with Robin Daniels (ex WeWork, Box, etc) the founder of byFounders the Nordic investment firm. In this podcast we discuss the differences in investment and startup cultures between Silicon Valley and the Nordics. With diversions into Web Content Management, Salesforce, Oracle and Blockchain!
Changes to the Silicon Valley Investment Community Mindset - Post Pandemic
We Love Ugly Data! The Deep Analysis Podcast
05/14/20 • 21 min
In this episode, we talk with former WeWork CMO and Silicon Valley legend Robin Daniels (now with Matterport and founder of Nordic investment firm byFounders). Topics discussed include the changes to Silicon Valley over the last twenty years that have occurred after a crisis such as the dot.com bust and now faced with another major reset post-COVID.
This is part one of a two-parter - the next episode will focus on the Nordic startup community.
Learn more about our work at: www.deep-analysis.net
If you have any questions or thoughts feel free to ping us at: [email protected]
Talking about AI with Zachary Scott Jarvinen
We Love Ugly Data! The Deep Analysis Podcast
02/21/19 • 28 min
Recently I recorded a conversation with Zachary Scott Jarvinen the Product Marketing Lead for AI at OpenText. Great discussion - exploding some myths, grounding AI in the real world and touching on Ancient Greek and Vegas Magicians!
In conversation with Bernadette Nixon the CEO of Alfresco - Part 2
We Love Ugly Data! The Deep Analysis Podcast
02/14/19 • 30 min
We continue our conversation and dive deeper into the future role of AI, consider whether Open Source is still a key differentiator and look at the future of ECM & BPM.
An interview with Bernadette Nixon the CEO of Alfresco Part 1
We Love Ugly Data! The Deep Analysis Podcast
01/17/19 • 27 min
We had the opportunity to chat extensively with Bernadette about her thoughts on the the role of AI and the Cloud in ECM & BPM. It's a fun discussion and we covered a lot of ground - hope you enjoy!
The Light & The Dark Sides of RPA & AI
We Love Ugly Data! The Deep Analysis Podcast
10/22/18 • 29 min
In this episode I have an extended chat with my friend and colleague Kashyap Kompella the CEO of RPA2AI. We discuss the upcoming AI World conference in Boston and look at a number of practical challenges regarding the implementation of AI & RPA in the real world. Plus a mention of Bears in New England and a Festival that was in progress in Bangalore as we recorded the episode!
We Love Ugly Data! The Deep Analysis Podcast - Episode 12 February 2024
We Love Ugly Data! The Deep Analysis Podcast
02/21/24 • 31 min
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
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FAQ
How many episodes does We Love Ugly Data! The Deep Analysis Podcast have?
We Love Ugly Data! The Deep Analysis Podcast currently has 46 episodes available.
What topics does We Love Ugly Data! The Deep Analysis Podcast cover?
The podcast is about Blockchain, Management, Podcasts, Technology, Business, Artificial Intelligence, M&A and Machine Learning.
What is the most popular episode on We Love Ugly Data! The Deep Analysis Podcast?
The episode title 'A Legal Perspective on the Ethics of AI' is the most popular.
What is the average episode length on We Love Ugly Data! The Deep Analysis Podcast?
The average episode length on We Love Ugly Data! The Deep Analysis Podcast is 25 minutes.
How often are episodes of We Love Ugly Data! The Deep Analysis Podcast released?
Episodes of We Love Ugly Data! The Deep Analysis Podcast are typically released every 29 days, 2 hours.
When was the first episode of We Love Ugly Data! The Deep Analysis Podcast?
The first episode of We Love Ugly Data! The Deep Analysis Podcast was released on Oct 17, 2017.
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