Dean does QA

Dean Bodart
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Join Dean, a seasoned Software Tester and dedicated AI enthusiast, as he shares his journey and insights into the world of AI in software testing. This weekly podcast, "Dean Does QA," features engaging discussions with AI hosts Dwane and Rachel, who bring to life Dean's written content published on LinkedIn (@deanbodart). Dive into the latest trends in AI-driven Software Testing, Automation, and Quality Assurance. Each episode explores cutting-edge QA strategies, in-depth industry analysis, real-life use cases and groundbreaking AI-powered testing innovations. Get actionable insights to stay ahead in the rapidly evolving software landscape. Whether you're a QA engineer, test manager, developer, or an AI enthusiast, "Dean Does QA" delivers practical knowledge, expert opinions, and engaging conversations rooted in thorough research. Tune in to empower your testing approach with the future of AI.

  1. The 100-Page KPMG Prompt That's Redefining AI for Business, and Why Prompting is a Must-have Skill in AI

    3일 전

    The 100-Page KPMG Prompt That's Redefining AI for Business, and Why Prompting is a Must-have Skill in AI

    A viral LinkedIn post about a 100-page KPMG AI prompt drew widespread laughter, but it fundamentally missed the point. In this episode, we dive into the real story behind the KPMG TaxBot and explore why complex, detailed prompts are not a joke—they're a powerful blueprint for enterprise-grade AI. Join me as I share my personal take on this topic from the perspective of a software testing and QA professional. We'll unpack the science of strategic prompting, from techniques like Chain-of-Thought and Few-Shot prompting, to its remarkable, quantifiable ROI. You'll learn how companies are leveraging this skill to unlock massive returns, reduce rework, and create real business value. This episode is a must-listen for anyone who wants to move beyond simple chatbot queries and understand how to truly harness AI as a strategic business asset. In this episode, you’ll discover: Why the KPMG TaxBot's 100-page prompt is a necessity, not an absurdity.How advanced prompting transforms an organization's institutional knowledge into a scalable asset.The science behind techniques like Chain-of-Thought and Few-Shot prompting.Real-world examples of how structured prompting is revolutionizing fields like Quality Assurance.Why companies that treat prompt design as a discipline see up to 340% higher returns on their AI budgets.Want more? Read the full companion article on LinkedIn! Support the show Thanks for tuning into this episode of Dean Does QA! Connect with Dean: Find Dean's latest written content and connect on LinkedIn: @deanbodart Support the Podcast: If you found this episode valuable, please subscribe, rate, share, and review us on your favorite podcast platform. Your support helps us reach more listeners! Subscribe to DDQA+: Elevate your AI knowledge with DDQA+, our premium subscription! Subscribe and get early access to new episodes and exclusive content to keep you ahead. Got a Question? Send us your thoughts or topics you'd like us to cover at dean.bodart@conative.be

    47분
  2. Coinbase's CEO Fired People Over AI. Was He Right? The Surprising Truth About MIT's 95% Failure Rate

    8월 31일

    Coinbase's CEO Fired People Over AI. Was He Right? The Surprising Truth About MIT's 95% Failure Rate

    A viral headline claims 95% of enterprise AI pilots are failing. But is this a sign of an overhyped bubble, or a just misunderstanding of a necessary transition? In this deep-dive episode, we deconstruct the "95% failure" myth, revealing how AI isn't failing, but rather exposing the weak points in our organizations. We explore the "J-Curve" of AI adoption, a phenomenon where short-term productivity dips are a painful but essential prerequisite for long-term gains. This is a story of organizational readiness, data quality, and strategic vision. We'll examine the true determinants of AI success, from preparing your data foundation to the critical role of change management. We'll also look at powerful case studies from the software development world, including how Google and Facebook are successfully embedding AI into their engineering workflows. Plus, we'll tell the story of how Coinbase's CEO, Brian Armstrong, mandated AI adoption and fired employees who resisted, setting a new industry benchmark for strategic transformation. If you're looking to move past the hype and truly understand what it takes to win with AI in your company, this episode provides a clear roadmap. Support the show Thanks for tuning into this episode of Dean Does QA! Connect with Dean: Find Dean's latest written content and connect on LinkedIn: @deanbodart Support the Podcast: If you found this episode valuable, please subscribe, rate, share, and review us on your favorite podcast platform. Your support helps us reach more listeners! Subscribe to DDQA+: Elevate your AI knowledge with DDQA+, our premium subscription! Subscribe and get early access to new episodes and exclusive content to keep you ahead. Got a Question? Send us your thoughts or topics you'd like us to cover at dean.bodart@conative.be

    55분
  3. Booking.com for AI Agents: Why Your Next User Is a Robot and The Challenges of Testing Probabilistic AI Systems

    8월 18일

    Booking.com for AI Agents: Why Your Next User Is a Robot and The Challenges of Testing Probabilistic AI Systems

    Is your next website visitor a human or a robot? It's a question that sounds like science fiction but is a live challenge for every software professional today. In this episode, we dive into a groundbreaking concept: the "dual imperative" of designing for both human users and a new, invisible army of AI agents. Inspired by the visionary thinking around companies like Booking.com, we explore a revolutionary "two-layer approach" to application architecture. You'll learn about: The Agent-Readable Layer: The new digital foundation built for machine efficiency, using structured data and protocols that are "brutally efficient" for AIs to parse.The Human-Verifiable Layer: The critical layer for building trust, where UX/UI becomes an "invisible UI" that translates complex AI decisions into transparent, understandable, and emotionally resonant experiences for humans.The New Era for QA: Why AI isn't replacing testers, but augmenting them. We break down the unique challenges of testing probabilistic AI systems and the new, high-value role of the "trust engineer."Essential Skills for the Future: From prompt engineering to adversarial testing, we discuss the new competencies every QA professional and developer needs to stay ahead.The future is already here. Tune in to understand how your organization can navigate this new reality and build trustworthy, future-proof applications. Support the show Thanks for tuning into this episode of Dean Does QA! Connect with Dean: Find Dean's latest written content and connect on LinkedIn: @deanbodart Support the Podcast: If you found this episode valuable, please subscribe, rate, share, and review us on your favorite podcast platform. Your support helps us reach more listeners! Subscribe to DDQA+: Elevate your AI knowledge with DDQA+, our premium subscription! Subscribe and get early access to new episodes and exclusive content to keep you ahead. Got a Question? Send us your thoughts or topics you'd like us to cover at dean.bodart@conative.be

    49분
  4. OpenAI Just Declared War on the Big 4: Is Your Consulting Firm Next?

    7월 28일

    OpenAI Just Declared War on the Big 4: Is Your Consulting Firm Next?

    You might think you've heard it all about OpenAI's move into enterprise consulting. "Just another tech company offering services," right? Think again! In this explosive episode, we peel back the layers of what many consider "old news" to reveal a strategic earthquake that's fundamentally reshaping the entire consulting industry. Join us as we dive deep into OpenAI's audacious $10M+ direct-to-client AI consulting business, where their own elite engineers are embedding within client organizations. This isn't just about selling software; it's about selling trust, credibility, and direct access to the very architects of groundbreaking AI. We uncover how this "AI-as-a-Service" model is already outmaneuvering traditional players and putting the Big 4 directly in its crosshairs. Discover the new, fascinating viewpoints from our extensive research: How the Big 4 are being pushed down the value chain, from "AI transformation leaders" to "middlemen" and "auditors."The intense talent wars for AI engineering prowess and the unprecedented pricing pressures facing traditional firms.The critical pivot required for the strategic software quality consulting industry – from hands-on development to high-value AI assurance, ethics, and complex ecosystem integration.This isn't a future threat; it's a present reality. The window of opportunity to strategically transform your consulting business and stay ahead of this curve is closing fast! Tune in to understand the true impact and arm yourself with the insights needed to lead the charge, not just react. Don't miss this crucial conversation that could define the next decade of your business! Thanks for tuning into this episode of Dean Does QA! Connect with Dean: Find Dean's latest written content and connect on LinkedIn: @deanbodart Support the Podcast: If you found this episode valuable, please subscribe, rate, share, and review us on your favorite podcast platform. Your support helps us reach more listeners! Subscribe to DDQA+: Elevate your AI knowledge with DDQA+, our premium subscription! Subscribe and get early access to new episodes and exclusive content to keep you ahead. Got a Question? Send us your thoughts or topics you'd like us to cover at dean.bodart@conative.be

    1시간 6분
  5. Klarna's $40B AI Gamble: Why Even Tech Giants Are Bringing Humans Back + What It Means for YOUR Business!

    7월 21일

    Klarna's $40B AI Gamble: Why Even Tech Giants Are Bringing Humans Back + What It Means for YOUR Business!

    The promise of AI: unprecedented efficiency and massive cost savings. But what happens when the AI dream meets the messy reality of human interaction? Klarna, the fintech powerhouse, offers a compelling, cautionary tale. After a bold move to replace hundreds of human customer service agents with AI, they're now making a strategic U-turn, openly admitting that prioritizing cost over quality led to a decline in customer experience. This isn't just Klarna's story; it's a critical lesson for every business navigating the AI revolution. In this episode, we dive deep into: The Klarna Experiment: What went wrong when AI went too far in customer service.Beyond Klarna: Widespread recalibration across industries, from IBM's HR bot to Air Canada's costly chatbot and DPD's erratic AI.The AI Paradox in Software Testing: A real-life experiment by Carnegie Mellon researchers that shows AI's "common sense" gap and its limitations in practical scenarios.The Indispensable Role of Human Intelligence: Why a "human-in-the-loop" approach is critical for success.Key Takeaways for Your Business: Actionable strategies for embracing a phased, human-centric approach to AI, investing in data governance, designing seamless AI-human collaboration, and cultivating AI literacy in your workforce.Tune in to understand why the future of AI isn't about replacing humans, but about empowering them, and how your business can harness AI's true transformative potential by prioritizing quality, ethics, and the invaluable human element. Thanks for tuning into this episode of Dean Does QA! Connect with Dean: Find Dean's latest written content and connect on LinkedIn: @deanbodart Support the Podcast: If you found this episode valuable, please subscribe, rate, share, and review us on your favorite podcast platform. Your support helps us reach more listeners! Subscribe to DDQA+: Elevate your AI knowledge with DDQA+, our premium subscription! Subscribe and get early access to new episodes and exclusive content to keep you ahead. Got a Question? Send us your thoughts or topics you'd like us to cover at dean.bodart@conative.be

    23분
  6. Game over for NVIDIA? Reddit Says This AI Memory Hack Saves You Millions on AI Infrastructure

    7월 8일

    Game over for NVIDIA? Reddit Says This AI Memory Hack Saves You Millions on AI Infrastructure

    Are you tired of skyrocketing AI infrastructure costs? What if a viral Reddit idea could change everything? In this episode, we dive into Memvid, a groundbreaking open-source project that's turning AI memory on its head by using video compression. Imagine storing millions of text documents as a single, tiny MP4 file, then searching it in milliseconds – all without expensive GPUs or complex databases. We reveal the real-world experiment where 10,000 PDFs were compressed to just 1.4GB, slashing RAM usage from over 8GB to 200MB, and working completely offline!     Could Memvid's CPU-friendly retrieval make costly NVIDIA GPU infrastructure obsolete for many AI tasks?  We explore how this innovation is democratizing AI, enabling powerful edge and offline applications, and revolutionizing AI software testing with portable "test brains."     Tune in to discover if Memvid is the future of affordable, efficient AI. Don't miss this deep dive into the tech that's got everyone talking! Support the show Thanks for tuning into this episode of Dean Does QA! Connect with Dean: Find Dean's latest written content and connect on LinkedIn: @deanbodart Support the Podcast: If you found this episode valuable, please subscribe, rate, share, and review us on your favorite podcast platform. Your support helps us reach more listeners! Subscribe to DDQA+: Elevate your AI knowledge with DDQA+, our premium subscription! Subscribe and get early access to new episodes and exclusive content to keep you ahead. Got a Question? Send us your thoughts or topics you'd like us to cover at dean.bodart@conative.be

    46분
  7. What Amazon Knows About MCP That You Don’t: 3 Game-Changing AI Techniques for DevOps

    6월 19일

    What Amazon Knows About MCP That You Don’t: 3 Game-Changing AI Techniques for DevOps

    Have you ever encountered the acronym "MCP" in the context of AI for DevOps and felt a little lost? You're not alone! While seemingly ambiguous, MCP actually refers to three distinct, yet equally critical, techniques that are revolutionizing how we develop, test, and deploy software with AI. In this episode, we'll demystify MCP, breaking down its three powerful interpretations: Model Compression and Pruning (MCP): The Efficiency Imperative. Discover how optimizing AI models, particularly large language models (LLMs), for size and computational demand is making AI in DevOps economically viable and operationally agile. We'll explore real-world examples from Amazon Web Services (AWS) and Red Hat, showcasing how MCP leads to significant cost savings and performance boosts.Model Context Protocol (MCP): The Interoperability Standard. Learn how this standardized framework empowers AI models to seamlessly and securely interact with external tools, data sources, and APIs. We'll look at how companies like Twilio and Block are using MCP to transform AI from a passive assistant into an active participant in complex DevOps workflows.Model Context Performance (MCP): The Intelligence Multiplier. Understand how effectively an AI model processes and acts upon contextual information directly impacts its accuracy and relevance. We'll share insights from Microsoft DeepSpeed and IBM Granite, demonstrating how strong Model Context Performance leads to smarter AI-assisted coding, faster regression analysis, and more reliable test generation.Join us as we uncover what pioneers like Amazon deeply understand about these three pillars of AI in DevOps. By grasping all facets of MCP, engineering teams can unlock unprecedented levels of efficiency, cost-effectiveness, and automation, moving beyond basic AI integrations towards truly intelligent and autonomous software development. If you're an engineering leader, DevOps practitioner, or AI enthusiast, this episode is a must-listen to understand the future of intelligent, context-aware, and resource-optimized automation. Support the show Thanks for tuning into this episode of Dean Does QA! Connect with Dean: Find Dean's latest written content and connect on LinkedIn: @deanbodart Support the Podcast: If you found this episode valuable, please subscribe, rate, share, and review us on your favorite podcast platform. Your support helps us reach more listeners! Subscribe to DDQA+: Elevate your AI knowledge with DDQA+, our premium subscription! Subscribe and get early access to new episodes and exclusive content to keep you ahead. Got a Question? Send us your thoughts or topics you'd like us to cover at dean.bodart@conative.be

    40분

  8. 6월 2일

    Your SDLC is Dead, How Outbrain & UiPath are Building Flawless Software, Faster with Agentic AI

    We dive deep into the world of Agentic AI and its radical impact on software development. We uncover how leading companies like Outbrain and UiPath are already leveraging autonomous AI systems to build flawless software, faster, fundamentally transforming their QA and CI/CD pipelines. Forget old-school automation. This episode explores the shift to proactive, goal-driven AI that can generate tests, self-heal scripts, and even detect complex defects before they become costly problems. Discover tangible results, from drastically reduced test authoring times to accelerated release cycles. If you're in software development, engineering, or QA, and you want to understand how Agentic AI is redefining quality and efficiency, this is a must-listen. Support the show Thanks for tuning into this episode of Dean Does QA! Connect with Dean: Find Dean's latest written content and connect on LinkedIn: @deanbodart Support the Podcast: If you found this episode valuable, please subscribe, rate, share, and review us on your favorite podcast platform. Your support helps us reach more listeners! Subscribe to DDQA+: Elevate your AI knowledge with DDQA+, our premium subscription! Subscribe and get early access to new episodes and exclusive content to keep you ahead. Got a Question? Send us your thoughts or topics you'd like us to cover at dean.bodart@conative.be

    21분
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소개

Join Dean, a seasoned Software Tester and dedicated AI enthusiast, as he shares his journey and insights into the world of AI in software testing. This weekly podcast, "Dean Does QA," features engaging discussions with AI hosts Dwane and Rachel, who bring to life Dean's written content published on LinkedIn (@deanbodart). Dive into the latest trends in AI-driven Software Testing, Automation, and Quality Assurance. Each episode explores cutting-edge QA strategies, in-depth industry analysis, real-life use cases and groundbreaking AI-powered testing innovations. Get actionable insights to stay ahead in the rapidly evolving software landscape. Whether you're a QA engineer, test manager, developer, or an AI enthusiast, "Dean Does QA" delivers practical knowledge, expert opinions, and engaging conversations rooted in thorough research. Tune in to empower your testing approach with the future of AI.

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  • 제작진
    Dean Bodart
  • 방송 연도
    2025년
  • 에피소드
    23
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    © 2025 Dean does QA
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    Dean does QA