AI Pulse Podcast

Why Al Is Changing Who Gets to Build feat. Tom Shaw

29 min · 30. kesä 2026
jakson Why Al Is Changing Who Gets to Build feat. Tom Shaw kansikuva

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TL;DR: Tune in to this episode with Tom Shaw for critiques on influencer-driven hype around autonomous agents like “OpenClonk,” security risks, “smoke and mirrors,” and to explore how AI will reshape the industry looking at SaaS value and pricing models. ---Software developer and content creator Tom Shaw joins us to share about his accidental transition from freelancing to social media, using content as outbound marketing and a portfolio replacement. Tom explains how he learned by building a mobile app via an online course and emphasizes that self-teaching is common in development. The discussion covers generative AI’s productivity boost and the “gen AI wall,” arguing that non-technical builders can start fast but get stuck without domain knowledge to debug and judge code quality. He describes his racing “pit wall” data project, where templates make AI-generated features easier, while stressing the need to review and test code. --- Why Al Is Changing Who Gets to Build feat. Tom Shaw | AI Pulse podcast by ABBYY 00:00 Idea Is The Barrier 00:29 AI Pulse Welcomes Tom Shaw 01:10 Accidental Creator Journey 03:07 Learning To Code, Self Taught 04:25 GenAI Wall For Builders 06:34 F1 Pit Wall Templates 08:42 Trust And Review AI Code 12:34 Misconceptions And Imposter 17:07 Hype Influencers And Agents 21:28 Smoke Mirrors Open Source 23:24 Future Of Building And SaaS 27:09 Pricing Seats vs. AI Agents 28:44 Wrap Up And Last Thoughts ---Have a question you'd like us to ask our next guest? Drop it in the comments! ---

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jakson Why Al Is Changing Who Gets to Build feat. Tom Shaw kansikuva

Why Al Is Changing Who Gets to Build feat. Tom Shaw

TL;DR: Tune in to this episode with Tom Shaw for critiques on influencer-driven hype around autonomous agents like “OpenClonk,” security risks, “smoke and mirrors,” and to explore how AI will reshape the industry looking at SaaS value and pricing models. ---Software developer and content creator Tom Shaw joins us to share about his accidental transition from freelancing to social media, using content as outbound marketing and a portfolio replacement. Tom explains how he learned by building a mobile app via an online course and emphasizes that self-teaching is common in development. The discussion covers generative AI’s productivity boost and the “gen AI wall,” arguing that non-technical builders can start fast but get stuck without domain knowledge to debug and judge code quality. He describes his racing “pit wall” data project, where templates make AI-generated features easier, while stressing the need to review and test code. --- Why Al Is Changing Who Gets to Build feat. Tom Shaw | AI Pulse podcast by ABBYY 00:00 Idea Is The Barrier 00:29 AI Pulse Welcomes Tom Shaw 01:10 Accidental Creator Journey 03:07 Learning To Code, Self Taught 04:25 GenAI Wall For Builders 06:34 F1 Pit Wall Templates 08:42 Trust And Review AI Code 12:34 Misconceptions And Imposter 17:07 Hype Influencers And Agents 21:28 Smoke Mirrors Open Source 23:24 Future Of Building And SaaS 27:09 Pricing Seats vs. AI Agents 28:44 Wrap Up And Last Thoughts ---Have a question you'd like us to ask our next guest? Drop it in the comments! ---

30. kesä 202629 min
jakson Building Trust in AI, What to Look For | AI Governance Experts Arcangelo Leone de Castris and Uzma Chaudhry kansikuva

Building Trust in AI, What to Look For | AI Governance Experts Arcangelo Leone de Castris and Uzma Chaudhry

Is your organization ready to navigate the evolving landscape of enterprise artificial intelligence?  In this episode of the AI Pulse Podcast, AI Governance experts Arcangelo Leone de Castris and Uzma Chaudhry define governance in two buckets: public-policy rules shaping market actors and organizational practices governing AI system behavior, emphasizing risk management, safeguards, and implementation. Chapter Markers  00:00 Welcome and Guests  02:09 Defining AI Governance  04:58 Roadmaps and Implementation  07:06 Why Governance Matters Now  10:17 Everyday Risks and Bias  13:04 Black Boxes and Explainability  15:33 Transparency and Data Provenance  20:43 Copyright and AI Creativity  26:35 Can AI Be Creative  32:40 Star Trek and Wrap Up  ---   Uzma is an AI law and policy practitioner. Her research focuses on enterprise AI governance, copyright and AI, the governance of foundation models through technical standards, and legal alignment in advanced AI systems. She has previously led research on AI governance at The Alan Turing Institute and the IAPP.  Arcangelo is the AI Data Governance Lead at AVIVA and a former Research Manager at The Alan Turing Institute, where he led the InnovateUK BridgeAI governance programme and supports the development of the AI Standards Hub. He has contributed to European standardisation for the EU AI Act within Cen-Cenelec JTC 21 and previously served as a Parliamentary Assistant at the European Parliament. Arcangelo is also a Fulbright alumnus of the University of Chicago.  This discussion traces governance momentum before and after ChatGPT, noting accelerating AI adoption, agentic AI, and the growing need for robust frameworks. They address the “black box” problem, limits of explainable AI for Large Language Models (LLMs), and offer practical advice for users, including avoiding automation bias, questioning outputs, and probing models for honest uncertainty.   If you are curious about transparency across the AI lifecycle, the EU AI Act’s disclosure expectations, and the difficulty of data provenance at internet scale – this episode is for you.   From lively dicussions on AI and creativity to copyright ambiguity, and ethical risks like cultural entropy and synthetic-data feedback loops - this episode will help you navigate the evolving tech landscape safely and effectively. Tune in to discover the essential strategies you need to stay competitive in a rapidly changing technological world.  --- Leave a comment to join the conversation. What question should we ask our next guest?   ---  Helpful links  Visit the ABBYY website to explore our platform and start driving higher accuracy today. Contact us for a demo: https://www.abbyy.com/company/contact-us/?utm_source=spotify&utm_medium=social&utm_campaign=podcast-052026 [https://www.abbyy.com/company/contact-us/?utm_source=youtube&utm_medium=social&utm_campaign=podcast-052026]    Read ABBYY's latest thought leadership articles in ⁠⁠The Intelligent Enterprise⁠⁠. ⁠https://www.abbyy.com/intelligent-enterprise/?utm_source=spotify&utm_medium=social&utm_campaign=podcast-052026    [https://www.abbyy.com/intelligent-enterprise/?utm_source=spotify&utm_medium=social&utm_campaign=podcast-052026   ] ---  LinkedIn: Follow AI Thought Leaders   Connect with Max: ⁠https://www.linkedin.com/in/maximevermeir/   Connect with Marlene: https://www.linkedin.com/in/dr-marlene-wolfgruber/ [https://www.linkedin.com/in/dr-marlene-wolfgruber/]   Connect with Arcangelo Leone de Castris: https://www.linkedin.com/in/arcangeloleonedecastris/ [https://www.linkedin.com/in/arcangeloleonedecastris/]  Connect with Uzma Chaudhry: https://www.linkedin.com/in/u-n-c/ [https://www.linkedin.com/in/u-n-c/]  #AIPulsePodcast #PurposeBuiltAI #EnterpriseAI #AIGovernance #AlanTuringInstitute #ComputerLanguage #AgenticAI #LLMs #GenAI #ROI

7. touko 202634 min
jakson AI Leadership Lessons from an ABBYY MVP: Beating the 95% Fail Rate kansikuva

AI Leadership Lessons from an ABBYY MVP: Beating the 95% Fail Rate

MIT's “Iceberg Report” reveals a staggering 95% of AI projects fail, and attributes a variety of factors such as fragmented workflows, unclear strategies, and the absence of enterprise-wide alignment. Watch this episode with ABBYY MVP Travis Spangler, of Naviant, as he breaks down exactly how to get ROI from AI solutions by avoiding common deployment pitfalls.   Modern enterprises require security, transparency, and accountability as make-or-break essentials.  Travis brings industry experience that helps you streamline documentation, reduce operational costs, and eliminate process delays. In this episode, he shares a noteworthy healthcare payer success story where purpose-built Document AI managed 35 million claims annually, resulting in $1.6 million in savings every year.  Tune in for more insights on how generative AI is reshaping customer expectations and influencing critical build-versus-buy decisions. With security, transparency, and accountability at the forefront, learn how your business can overcome barriers to AI success and generate consistent, scalable results.   Tune in to discover how you can achieve real ROI for AI solutions.  ---  Leave a comment to join the conversation. What question should we ask our next guest?     ---   Chapter Markers  * 0:00 Introduction to Enterprise AI  * 00:15 MIT Iceberg Report  * 3:06 Welcome Travis Spangler  * 5:57 Build vs Buy  * 09:17 AI Success Story: Healthcare Payer Claims Win  * 12:10 Scaling Purpose-Built AI for the Enterprise  * 15:20 Ensuring Security, Transparency, and Compliance  * 17:33 How Employees Shift the Narrative   * 19:41 Crytal Ball Predictions  The AI Pulse Podcast is brought to you by ABBYY, co-hosted by our Vice President of AI Strategy Max Vermeir, and Product Marketing Lead for AI, Dr. Marlene Wolfgruber. This podcast covers a wide range of topics, all related to artificial intelligence and intelligent automation.  ---  Helpful links   Visit the ABBYY website to explore our platform and start driving higher accuracy today.  Contact us for a demo: https://www.abbyy.com/company/contact-us/ [https:/?utm_source=youtube&utm_medium=social&utm_campaign=podcast-042026]   Read ABBYY's latest thought leadership articles in ⁠⁠The Intelligent Enterprise⁠⁠. ⁠https://www.abbyy.com/intelligent-enterprise/ [https://www.abbyy.com/intelligent-enterprise/?utm_source=youtube&utm_medium=social&utm_campaign=podcast-042026]  --  LinkedIn: AI Thought Leaders  * Connect with Max: ⁠https://www.linkedin.com/in/maximevermeir [https://www.linkedin.com/in/maximevermeir/]/    * Connect with Marlene:  https://www.linkedin.com/in/dr-marlene-wolfgruber/ [https://www.linkedin.com/in/dr-marlene-wolfgruber/]   * Connect with Travis: https://www.linkedin.com/in/travis-spangler-34625060/ [https://www.linkedin.com/in/travis-spangler-34625060/]     #AIPulsePodcast #PurposeBuiltAI #EnterpriseAI #UseCase #ROI #ABBYYPartners #ABBYYMVP

10. huhti 202625 min
jakson Where LLMs Meet Documents: The Benefit of a Hybrid Approach kansikuva

Where LLMs Meet Documents: The Benefit of a Hybrid Approach

Documents are still the dark matter of business - full of untapped knowledge that drives decisions but often remains invisible to automation.  In this episode, hosts Maxime Vermeir and Dr. Marlene Wolfgruber sit down with Morgan Conque, VP of GTM Strategy at Ashling, to explore how a Hybrid approach to AI — the fusion of Intelligent Document Processing (IDP) and Large Language Models (LLMs) — is finally bringing that hidden information to light.  Together, they unpack:  -Why documents remain the backbone of business workflows in 2025  -How enterprises can combine precision (IDP) and reasoning (LLMs) for meaningful automation  -Real-world examples of what works — and where AI still falls short.  -How trust, governance, and human oversight define AI success.  -What generative and agentic AI mean for the future of document intelligence.  Whether you’re leading digital transformation or just curious about how generative AI fits into real enterprise workflows, this episode goes beyond the hype to show how purpose-built AI is reshaping the way organizations understand and act on their data.    00:00 Introduction and Welcome  00:12 The Evolution of Document Usage  00:32 The Explosion of Data and Unstructured Information  01:17 Challenges with Document Management  03:32 AI and Document Management  03:58 The Role of Large Language Models  04:23 Historical Approaches to Document Automation  05:15 Current Trends in AI and Automation  09:39 Real-World Applications and Examples  14:02 Balancing Technology and Process  25:17 Future of Intelligent Automation  33:04 Closing Thoughts and Takeaways  -- Leave a comment to join the conversation. What question should we ask our next guest?  -- Find full episodes on our Podcast: https://www.youtube.com/playlist?list=PLcawcg-HXtXeE7L_eP5yIE8vg64jhaUXj [https://www.youtube.com/playlist?list=PLcawcg-HXtXeE7L_eP5yIE8vg64jhaUXj]  Subscribe to our channel: @ABBYYVIDEOS   --   Follow Max on LinkedIn: ⁠ ⁠https://www.linkedin.com/in/maximevermeir/⁠ [https://www.linkedin.com/in/maximevermeir/%E2%81%A0]   Follow Marlene on LinkedIn: ⁠https://www.linkedin.com/in/dr-marlene-wolfgruber/⁠ [https://www.linkedin.com/in/dr-marlene-wolfgruber/%E2%81%A0]   Follow Morgan on LinkedIn: https://www.linkedin.com/in/morganconque/ [https://www.linkedin.com/in/morganconque/]   --  Check out other episodes: ⁠https://open.spotify.com/show/5J8rr6GxrkMtw8Gw6IyRKl⁠ [https://open.spotify.com/show/5J8rr6GxrkMtw8Gw6IyRKl%E2%81%A0]   Subscribe to be informed of new episodes and other thought leadership content from ABBYY here: ⁠ ⁠https://digital.abbyy.com/ai-pulse-subscribe?utm_source=youtube&utm_medium=social&utm_campaign=linktree_ai_pulse⁠ [https://digital.abbyy.com/ai-pulse-subscribe?utm_source=youtube&utm_medium=social&utm_campaign=linktree_ai_pulse%E2%81%A0]   Read ABBYY's latest thought leadership articles in ⁠⁠The Intelligent Enterprise⁠⁠. ⁠https://www.abbyy.com/intelligent-enterprise/?utm_source=youtube&utm_medium=social&utm_campaign=linktree_ai_pulse⁠ [https://www.abbyy.com/intelligent-enterprise/?utm_source=youtube&utm_medium=social&utm_campaign=linktree_ai_pulse%E2%81%A0]

3. joulu 202534 min
jakson The Future is Combining LLMs with IDP kansikuva

The Future is Combining LLMs with IDP

In this enlightening episode of the AI Pulse Podcast, hosts Max and Marlene explore the transformative power of Intelligent Document Processing (IDP) with industry experts Deepak Goyal of ABBYY and Collins Sarmento of Intium SoftWorks (ISW). They delve into the differences between OCR and IDP, real-life use cases, and the future impact of Gen AI on IDP. With insights into efficiency gains, compliance, and customer experience, this episode is a must-watch for anyone interested in cutting-edge AI applications in business.  00:00 Introduction and Episode Overview  00:48 Meet the Experts: Deepak and Collins  01:44 Understanding Intelligent Document Processing (IDP)  04:18 Personal Journeys with IDP  07:50 Misconceptions and Challenges in IDP  10:48 The Role of Gen AI in IDP  15:20 Success Stories and Transformations  24:38 Advice for Newcomers to IDP  27:56 Future of IDP: Predictions and Insights  32:07 Conclusion and Key Takeaways  Check out other episodes:   https://open.spotify.com/show/5J8rr6GxrkMtw8Gw6IyRKl [https://open.spotify.com/show/5J8rr6GxrkMtw8Gw6IyRKl]  Subscribe to be informed of new episodes and other thought leadership content from ABBYY here: ⁠  https://digital.abbyy.com/ai-pulse-subscribe?utm_source=youtube&utm_medium=social&utm_campaign=linktree_ai_pulse [https://digital.abbyy.com/ai-pulse-subscribe?utm_source=youtube&utm_medium=social&utm_campaign=linktree_ai_pulse]     Read ABBYY's latest thought leadership articles in ⁠⁠The Intelligent Enterprise⁠⁠.  https://www.abbyy.com/intelligent-enterprise/?utm_source=youtube&utm_medium=social&utm_campaign=linktree_ai_pulse [https://www.abbyy.com/intelligent-enterprise/?utm_source=youtube&utm_medium=social&utm_campaign=linktree_ai_pulse]     Find full episodes on our Podcast: https://www.youtube.com/playlist?list=PLcawcg-HXtXeE7L_eP5yIE8vg64jhaUXj [https://www.youtube.com/playlist?list=PLcawcg-HXtXeE7L_eP5yIE8vg64jhaUXj]  Follow Max on LinkedIn: ⁠ https://www.linkedin.com/in/maximevermeir/ [https://www.linkedin.com/in/maximevermeir/]      Follow Marlene on LinkedIn: https://www.linkedin.com/in/dr-marlene-wolfgruber/ [https://www.linkedin.com/in/dr-marlene-wolfgruber/]     Connect with Collins on LinkedIn: https://www.linkedin.com/in/processautomationexpert/ [https://www.linkedin.com/in/processautomationexpert/]     Connect with Deepak on LinkedIn: https://www.linkedin.com/in/deepak6goyal/ [https://www.linkedin.com/in/deepak6goyal/]      Leave a comment to join the conversation. What question should we ask our next guest?

9. syys 202533 min