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We Love Ugly Data! The Deep Analysis Podcast - Episode 15 May 2024

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Manage episode 419514514 series 3047837
Content provided by Alan Pelz-Sharpe. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alan Pelz-Sharpe or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

The fifteenth 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, discussing new vendor profiles and AI readiness.

In this month’s episode:

Topic 1: 5 New Vendor Vignettes

First up, Matt and Alan discuss the latest set of – what used to be called – 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?

Alan’s been on the road a lot in the last few weeks and – as he does – 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 they’ve 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
Alan’s introductory blog post on the latest set of Vendor Vignettes.

Topic 2: 5 Questions for AI Readiness
Download the AIIM infographic “5 Questions – Is Your Organization Ready for AI?” [COMING SOON]
Alan’s recent blog posts; “Orchestrating AI – Appian” and AI Readiness – “Ready for what, exactly?”.

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

  continue reading

44 episodes

Artwork
iconShare
 
Manage episode 419514514 series 3047837
Content provided by Alan Pelz-Sharpe. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alan Pelz-Sharpe or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

The fifteenth 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, discussing new vendor profiles and AI readiness.

In this month’s episode:

Topic 1: 5 New Vendor Vignettes

First up, Matt and Alan discuss the latest set of – what used to be called – 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?

Alan’s been on the road a lot in the last few weeks and – as he does – 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 they’ve 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
Alan’s introductory blog post on the latest set of Vendor Vignettes.

Topic 2: 5 Questions for AI Readiness
Download the AIIM infographic “5 Questions – Is Your Organization Ready for AI?” [COMING SOON]
Alan’s recent blog posts; “Orchestrating AI – Appian” and AI Readiness – “Ready for what, exactly?”.

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

  continue reading

44 episodes

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