Impact of AI:Explored

James O'Regan and Gerjon Kunst
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Welcome to Impact of AI:Explored this is a podcast series hosted James O'Regan and Gerjon Kunst. This podcast series is an initiative by and for the developer and IT professional community. It is our goal to empower each and every one to learn and share all there is to know about Artificial Intelligence and how it affects our day to day lives as IT professionals. There is a huge quantity of valuable AI related information in various formats available and it keeps increasing on a daily basis.  It is our objective to help people to make sense of all this information.

  1. 1D AGO

    Billions Burned on AI: The Hidden Energy Crisis Behind ‘Smart’ Enterprises

    In this episode of Impact of AI: Explored, Gerjon and James sit down with Matt Soltau,  Global Director of Strategy and Operations at IntelliIPaaS (https://www.linkedin.com/in/soltaumatt/) They unpack AI’s hidden sustainability problem and what enterprises can actually do about it. They dig into “digital waste” in the form of zombie jobs, legacy servers, data silos and endless file duplication, and how this invisibly bloats cloud bills and energy usage. The conversation covers why AI data centers are so power-hungry, how ESG reporting is lagging behind real digital emissions, and why clean data, solid integration plumbing and clear ownership for ESG metrics are foundational for any serious AI strategy. Matt also shares real-world stories on failed AI agents, governance guardrails, and practical steps to make AI both productive and sustainable instead of just another source of greenwashed slideware chapters 00:58 The Hidden Costs of AI Energy Consumption 04:12 Understanding Digital Waste in Enterprises 08:30 AI's Role in Sustainability: Problem or Solution? 16:34 Preparing Data for AI: The Importance of Readiness 20:54 The Challenges of AI Implementation 27:13 The Blind Spot in ESG Reporting 32:11 Bridging the Gap: Efficiency and AI Support the show

    42 min

  2. MAR 23

    From AI Toy to AI Strategy: Why ‘Playtime’ Is Over for Enterprises

    Welcome to the Impact of AI: Explored podcast. In this episode  James and Gerjon sit down with Seda Akdemir, AI strategist at Cisco IMEA (https://www.linkedin.com/in/sedaakdemir/), to talk about moving beyond AI as a “shiny toy” into secure AI factories, real business value, and why generic AI strategies don’t work. We dive into how enterprises can build an AI-ready stack (networking, security, data center, GPU, observability), why ROI must go beyond “time saved”, and how to keep CISOs on board while still innovating. Seda also shares her perspective as a woman in a male‑dominated AI and engineering world, and the skills teams need to stay relevant in an AI‑first future. 01:00 – Intro: Impact of AI & today’s guest Seda Akdemir ​01:29 – “Everything will be different in a year”: AI disruption starts now ​03:29 – From Microsoft to Cisco: AI as a strategic asset, not a feature ​05:17 – What is a secure AI factory and why enterprises need it ​07:32 – AI‑ready data centers, Nvidia/Red Hat/OpenShift and the full stack ​10:54 – Why generic AI strategies fail and how to think ROI beyond “time saved” ​18:42 – Red flags in enterprise AI projects: business alignment, culture and observability ​25:17 – Security, CISOs, agent identity and task‑based authorization ​32:03 – Skills for AI teams, women in AI, and final advice for listeners Support the show

    41 min

  3. MAR 10

    AI Is Smart. We’re Not: Closing the Front Door on Hype-Driven, Insecure AI

    Welcome to the Impact of AI: Explored podcast. In this episode  James and Gerjon have a awesome guest: Bhaskar Barat Sawant - Lead Engineer | Solutions Architect | AI/ML & Cybersecurity | Azure Cloud | SaaS Platforms | Microsoft Certified (https://www.linkedin.com/in/bhaskar-bharat-sawant-533218122/) In this episode, we discuss the complexities and challenges of AI adoption in enterprises, emphasizing the importance of responsible AI deployment. We explore the disconnect between vendor promises and real-world experiences, the risks associated with AI agents, and the emerging concept of federated learning. The discussion highlights the need for strong architecture, governance, and observability in AI systems to ensure security and effectiveness. Takeaways * Organizations prioritize speed over security in AI adoption. * AI introduces new risks that traditional systems didn't have. * Deploying AI requires proper architecture and governance. * Vendors often oversimplify AI as a plug-and-play solution. * AI is not a magic solution for every problem. * Successful AI adoption requires careful planning and management. * Start with a clear business problem when considering AI. * Responsible AI involves continuous monitoring and transparency. * AI agents need defined boundaries to operate safely. * Federated learning allows for privacy-preserving AI training. Support the show

    31 min

  4. FEB 23

    OpenClaw: The Coolest AI Agent You Should Probably Fear

    Welcome to the Impact of AI: Explored podcast. In this episode James O'Regan and Gerjon Kunst explore the emergence of OpenClaw, a personal AI agent that has gained significant attention for its capabilities and potential risks. They discuss its features, the rapid rise in popularity, and the security concerns associated with its use. The conversation also touches on the evolution of AI agents, comparing OpenClaw with Claude Cowork, and the implications for both consumer and enterprise applications. The hosts emphasize the importance of understanding the security risks involved in using such technology and the potential for future developments in the AI landscape. takeaways OpenClaw is a personal AI agent that runs locally.It can perform tasks like email scheduling and browser control.Security concerns arise from giving AI full access to systems.Many users are not taking necessary precautions when using OpenClaw.The rise of OpenClaw reflects a shift towards consumer-driven AI solutions.OpenAI's acquisition of the creator of OpenClaw highlights its potential.AI agents can automate complex tasks, but risks must be managed.The evolution of AI agents is leading to more autonomous systems.Open source nature of AI agents allows for rapid development and exploitation.Understanding security implications is crucial for users experimenting with AI.Chapters 00:10 Introduction to OpenClaw and AI Agents 02:58 The Rise of OpenClaw: Features and Popularity 05:44 Security Concerns with OpenClaw 08:21 The Evolution of AI Agents 11:03 Comparing OpenClaw and Claude Cowork 13:45 The Future of AI in Business 16:43 The Impact of OpenAI's Acquisition 19:24 Consumer vs. Enterprise AI Solutions 22:15 The Open Source Nature of AI Agents 24:56 Conclusion and Final Thoughts Support the show

    32 min

  5. FEB 10

    Industrial AI vs GenAI: What Really Works on the Factory Floor?

    Welcome to the Impact of AI: Explored podcast. In this episode  James and Gerjon have a awesome guest: Dr. Nikita Golovko - Certified ISAQB CPSA-F Architect/Cybersecurity expert & PSSE (ISC2 CC) (https://www.linkedin.com/in/dr-nikita-golovko/) In this conversation, we discuss the challenges and nuances of implementing AI in industrial settings. We look at the importance of bridging the gap between AI technology and practical application on the factory floor, highlighting the need for translators who can communicate between data science and operational teams. The discussion also covers the transition from lab-based AI to real-world applications, the significance of team structure in successful AI projects, and the responsibilities of engineers in ensuring AI systems are safe, transparent, and sustainable. We share insights on generative AI, technical debt, and the future of AI in industrial automation, advocating for a collaborative approach that includes human oversight in decision-making processes. Takeaways * Finding the right talent to bridge AI and operational gaps is crucial. * AI solutions often fail when transitioning from lab to real-world environments. * Technical debt can be identified by signals like fear of touching code. * Generative AI is not yet suitable for industrial applications due to unpredictability. * AI should enhance human decision-making, not replace it. * Team structure significantly impacts the success of AI projects. * Sustainability in AI means retraining models with new teams over time. * Transparency and explainability are essential for AI systems. * AI can assist in coding but should not replace foundational knowledge. * Documenting decisions is key to managing technical debt. Chapters 00:00 AI agents in industrial environments 01:33 introduction 02:18 Listener question: Bridging the Gap in Industrial AI Hiring 06:47 Challenges of Deploying AI in Real-World Environments 09:38 Technical Debt and Its Early Warning Signs 12:18 Generative AI vs. Classical Machine Learning in Industry 14:51 The Role of Predictability in AI Models 17:29 Local vs. Centralized AI Models in Production 20:14 Architectural Challenges in AI Implementation 22:55 Sustainability in AI System Design 25:52 The Future of AI in Industrial Applications 26:54 The Role of AI in Industrial Automation 32:00 AI as an Advisor: The Human Element 36:39 AI-Assisted Coding: Benefits and Risks 40:08 Responsibility and Ethics in AI Development Support the show

    42 min

  6. JAN 27

    Beyond Copilot: Process-Based Permissions and Autonomous IT

    Welcome to the Impact of AI: Explored podcast. In this episode  James and Gerjon have a special guest: Christiaan Brinkhoff - Cloud & AI Product Leader for Windows Cloud at Microsoft. (https://www.linkedin.com/in/christiaanbrinkhoff/) In this episode, we discuss how AI enabled Cloud PC's change the way we work. We look at the transformative impact of AI on productivity tools, compliance, and responsible AI practices. We explore the future of AI in workflows, the cultural shifts needed for adoption, and the role of AI in IT security. The discussion also covers the evolution of user interfaces, the potential of AI in education, and the importance of embracing change to fully leverage AI's benefits. Takeaways * AI will transform productivity tools by automating repetitive tasks. * Compliance and responsible AI are crucial for safe implementation. * AI agents will change how we interact with technology. * Cultural shifts are necessary for AI adoption in organizations. * AI can enhance user interfaces and make them more adaptive. * The future of work will involve more AI-driven processes. * AI can help bridge gaps in education and accessibility. * Organizations need to embrace change to leverage AI benefits. * AI can provide personalized experiences for users. * The evolution of AI will continue to shape various industries. Chapters 00:00 Introduction and Personal Anecdotes 01:50 AI and Cloud PC: Future Features 05:39 The Role of Agents in AI 09:26 Security and Compliance in AI 12:54 Embracing Change: The Cultural Shift in IT 16:52 Windows 365 and AI Integration 23:45 The Future of IT Management and Adaptive UI 25:12 Accelerated Prototyping with AI 27:31 The Evolution of Application Interaction 29:21 AI as a Personal Assistant 33:44 Adoption Challenges and User Mindset 37:49 AI Features in Cloud PCs 40:18 Navigating Change in Organizations 45:30 AI's Role in Accessibility and Daily Life Support the show

    49 min

  7. JAN 14

    Shadow AI, Agentic Browsers & Zero Trust: Why AI Can’t Get Fired (But You Can)

    Welcome to the Impact of AI: Explored podcast. In this episode  James and Gerjon have a special guest: Josh Woodruff  - founder, MassiveScale.AI (https://www.linkedin.com/in/joshwoodruff/) In this episode, we explore the concept of Shadow AI, its implications for corporate governance, and the evolving role of security in AI adoption. Josh Woodruff, CEO of MassiveScale.ai, discusses the challenges and opportunities presented by AI technologies, emphasizing the need for organizations to adapt their security strategies to enable innovation while managing risks. The conversation highlights the importance of cultural shifts within organizations, the role of CISOs as enablers of innovation, and the necessity of clear communication and education around AI usage. As AI continues to evolve, organizations must embrace change and foster collaboration to stay competitive in the rapidly changing landscape. you can find the referenced LinkedIn post here: https://www.linkedin.com/feed/update/urn:li:activity:7416833947688652800/ Support the show

    37 min

  8. 12/30/2025

    AI 2025: Predictions vs. Reality

    Welcome to the Impact of AI: Explored podcast.  In this episode we show our presentation from EUC-Forum in London.  (original recording: https://www.youtube.com/watch?v=YgaLhXCAiQ0). We review our previous predictions about AI's impact on various sectors in 2025.  We discuss the implications of AI in traffic management, security, and compliance, and delve into the ethical considerations surrounding AI technology.  We also share insights from our two-year podcasting journey, culminating in predictions for the future of AI in 2026 (and beyond). Takeaways * AI is expected to change the world significantly by 2025. * Seven out of nine predictions made last year were accurate. * AI can manage complex systems like traffic, but implementation is lacking. * Shadow AI is a growing concern for organizations. * AI has potential benefits for sustainability, but it also poses challenges. * People can develop emotional attachments to AI models. * Automating mundane tasks with AI can lead to higher user adoption. * The AI hype cycle is a real phenomenon that needs to be navigated carefully. * AI will redefine how we search for information online. Chapters 00:00 Introduction to AI Predictions 02:10 Reviewing Last Year's Predictions 05:14 AI in Traffic Management and Automation 08:28 AI's Role in Security and Compliance 11:37 The Future of AI: Quantum Computing and Ethics 15:08 AI's Impact on Society and Employment 18:32 Navigating the AI Hype Cycle 21:35 Real-World Applications of AI 23:54 Lessons Learned from Two Years of AI Podcasting 25:59 Predictions for 2026 and Beyond If you want to know more about EUC Forum check their website here: https://www.eucforum.tech/ Support the show

    44 min
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About

Welcome to Impact of AI:Explored this is a podcast series hosted James O'Regan and Gerjon Kunst. This podcast series is an initiative by and for the developer and IT professional community. It is our goal to empower each and every one to learn and share all there is to know about Artificial Intelligence and how it affects our day to day lives as IT professionals. There is a huge quantity of valuable AI related information in various formats available and it keeps increasing on a daily basis.  It is our objective to help people to make sense of all this information.

Information

  • Creator
    James O'Regan and Gerjon Kunst
  • Years Active
    2024 - 2026
  • Episodes
    35
  • Rating
    Clean
  • Copyright
    © 2026 Impact of AI:Explored
  • Show Website
    Impact of AI:Explored