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The DX Today Podcast: Real Insights About AI and Digital Transformation
Tired of AI hype and transformation snake oil? This isn't another sales pitch disguised as expertise. Join a 30+ year tech veteran and Chief AI Officer who's built $1.2 billion in real solutions—and has the battle scars to prove it.
No vendor agenda. No sponsored content. Just unfiltered insights about what actually works in AI and digital transformation, what spectacularly fails, and why most "expert" advice misses the mark.
If you're looking for honest perspectives from someone who's been in the trenches since before "digital transformation" was a buzzword, you've found your show. Real problems, real solutions, real talk.
For executives, practitioners, and anyone who wants the truth about technology without the sales pitch.
352 Episodes
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Send us a text The sources provide a comprehensive overview of the severe disconnect between massive investment in the Artificial Intelligence ecosystem and the low return on investment (ROI) experienced by enterprises in 2025. They highlight that AI project abandonment rates have skyrocketed to 42%, with studies showing the vast majority of initiatives fail to deliver measurable financial impact. The core reasons for this failure are identified as organizational and strategic—including...
Send us a text The 2025 artificial intelligence ecosystem is defined by a critical and unsustainable disconnect. An unprecedented investment supercycle, marked by a combined $320 billion in Big Tech capital expenditures, is running headlong into a crisis of enterprise implementation, where a vast majority of AI initiatives fail to deliver measurable financial returns. Landmark studies indicate that as many as 95% of generative AI projects yield zero P&L impact, and the share of companies ...
Send us a text The proliferation of Artificial Intelligence (AI) presents Chief Information Officers (CIOs) with a mandate for enterprise transformation, introducing a new and complex set of strategic challenges. This briefing synthesizes an analysis of the three most critical domains where CIOs must lead: Cybersecurity and AI Risk Management, Delivering Measurable AI Value, and Data Complexity and Integration. Cybersecurity and AI Risk Management explores the dual nature of AI as both a pow...
Send us a text An extensive overview of the complex and paradoxical impact of Artificial Intelligence (AI) on the U.S. labor market, arguing that AI is causing a profound restructuring rather than simple job destruction. It highlights a discrepancy between forward-looking business sentiment—which anticipates widespread layoffs—and retrospective government data, which currently shows minimal aggregate employment changes. This is explained through the "triple effect" of AI, involving the concur...
Send us a text The provided sources offer an extensive analysis of the Artificial General Intelligence (AGI) timeline debate, beginning with a comprehensive definition of AGI itself, differentiating it from narrow and superintelligence, and outlining core capabilities like generalization and common sense. It explores various architectural pathways to AGI, such as symbolic and connectionist approaches, highlighting how differing definitions influence timeline predictions. The text then maps th...
Send us a text Google's VaultGemma is a groundbreaking 1-billion-parameter language model, notable as the "largest open-weight large language model (LLM) trained entirely from scratch with the rigorous mathematical guarantees of Differential Privacy (DP)." Its core innovation is a "privacy-by-design" approach, integrating DP directly into the pre-training process using Differentially Private Stochastic Gradient Descent (DP-SGD). This addresses the critical challenge of LLMs "memorizing and re...
Send us a text Extended Reality (XR), encompassing Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), is rapidly transforming various sectors, including education, healthcare, manufacturing, and corporate training. The global AR/VR market is projected to grow significantly from $20.43 billion in 2025 to $85.56 billion by 2030, with some forecasts exceeding $589 billion by 2034. While VR offers total immersion for simulations and novel experiences, AR overlays digital inform...
Send us a text The concept of Agentic AI, characterized by autonomous systems that can plan, reason, and act to achieve complex goals with minimal human oversight, is at the forefront of AI discourse. While the foundational components are in place, true agentic AI, defined by robust, general-purpose, and reliable autonomous goal pursuit, is not yet a reality. We are currently in an era of "emerging, domain-specific, and often brittle agentic systems." The recent advancements in Large Language...
Send us a text The provided source examines how Artificial Intelligence (AI) is fundamentally transforming the software engineering, technology staffing, and outsourcing industries. It highlights a "Great Bifurcation" in the talent market, where AI automates routine coding tasks, impacting junior roles, while simultaneously increasing demand for elite, AI-savvy senior engineers with strategic skills like architecture and domain expertise. The report argues that staffing and outsourcing firms ...
Send us a text This comprehensive report explores the pervasive integration of Artificial Intelligence (AI) across six diverse industries: Healthcare, Financial Services, Retail & E-commerce, Manufacturing, Transportation & Logistics, and Media & Entertainment. It highlights AI as a foundational element driving competitive advantage and operational efficiency, showcasing its strategic value beyond mere technological adoption. The analysis identifies three overarching themes—Intell...
Send us a text The emergence of advanced Artificial Intelligence (AI), particularly generative AI, has sparked a "great divide" in the global labor market. This divide is characterized by two opposing narratives: the "doomsayer" perspective, which foresees widespread job displacement, and the "optimist" view, which predicts human-AI augmentation, productivity booms, and net job creation. While macroeconomic data currently offers a muted signal, firm-level evidence and early labor market indic...
Send us a text The Great AI Debate: The burgeoning field of Artificial Intelligence is currently defined by a fundamental conflict between proprietary, controlled development ("closed-source") championed by major tech players like OpenAI and Anthropic, and the collaborative, transparent ethos of the open-source movement, led by entities like Meta and Mistral AI. This is not merely a technical debate but a clash of philosophies, business models, and visions for the distribution of power. While...
Send us a text The widespread, unsanctioned use of AI tools and services by employees, known as Shadow AI, presents a critical challenge and opportunity for modern enterprises. Driven by the pursuit of productivity and the ease of access to public AI models like ChatGPT, this phenomenon is not a fringe activity but a mainstream movement. Traditional, prohibitive control measures—"AI gates"—are proving ineffective and counterproductive, pushing risk underground and stifling innovation. This br...
Send us a text The transformative shift in web browsing towards "agentic browsers," which are autonomous, goal-oriented systems capable of executing complex tasks without constant human input. It details the technological underpinnings of these browsers, including multi-LLM orchestration and hybrid local-cloud architectures, and highlights Perplexity's Comet as a key market catalyst. The sources also examine the emerging competitive landscape among tech giants and open-source projects, outlin...
Send us a text The integration of Generative AI (GenAI) is a transformative moment for enterprises, demanding decisive leadership and a strategic, rather than reactive, approach. This briefing outlines the critical need for a well-defined GenAI strategy and a collaborative leadership ecosystem to achieve "absolute success," which is defined as generating tangible and sustainable business value aligned with strategic goals. While various C-suite roles—CIO, CTO, CDO, and the emerging CAIO—offer...
Send us a text The current AI market is characterized by a "gold rush" mentality and immense pressure for adoption, yet many heavily marketed solutions are technologically immature. This disconnect places key areas of AI, like "AI Agents" and "AI-ready data," at the "Peak of Inflated Expectations," while Generative AI (GenAI) is entering the "Trough of Disillusionment." Unrealistic vendor promises directly cause costly project failures and organizational cynicism, with 62% of AI sales initiat...
Send us a text A comprehensive overview of the state of agentic Artificial Intelligence (AI) as of Q3 2025. While foundation models possess unprecedented capabilities, the deployment of truly autonomous, reliable, and long-horizon agentic systems remains nascent. The year 2025 is characterized as the "year of agentic exploration," marked by enterprise investment and maturation of orchestration frameworks. Agentic AI is delivering measurable ROI in well-defined, vertical domains such as financ...
Send us a text The rapid rise of generative AI introduces unprecedented risks for children, moving beyond traditional online dangers to encompass profound psychological, developmental, and safety challenges. These include the formation of unhealthy emotional dependencies, exposure to sophisticated harmful content, and new avenues for exploitation. This report categorizes protective applications into Comprehensive Monitoring Suites (e.g., Bark, Qustodio) and AI-Native Safe Environments (e.g., ...
Send us a text The provided source discusses several surprising and lesser-known aspects of generative AI, highlighting that even experts struggle to fully understand these systems. It explains emergent creativity, where AI generates unexpected outputs without explicit programming, and the concerning phenomenon of subliminal learning, where behavioral traits, including harmful ones, can transfer between AI models through seemingly innocuous data. The text also touches on the uniform learning ...
Send us a text The year 2025 is a critical juncture for AI in the enterprise, marked by a significant "GenAI Divide." While there's unprecedented investment and C-suite conviction in AI's transformative power—with the global AI market valued at $391 billion and projected to reach $1.81 trillion by 2030, and $44 billion in venture funding in H1 2025 alone—a staggering 95% of corporate Generative AI projects are failing to deliver meaningful revenue acceleration or productivity gains. This fail...
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