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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.
232 Episodes
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Send us a text An extensive strategic roadmap for navigating the career landscape during the transition from Generative AI (GenAI) to Agentic AI, which marks a fundamental shift from content creation to proactive, autonomous execution. It differentiates Agentic AI as possessing statefulness and executive function, enabling it to break down objectives, use tools, and alter environments, unlike stateless GenAI. The document predicts the emergence of the "Frontier Firm"—a hybrid ecosystem of hum...
Send us a text Overview of the current Artificial Intelligence boom, examining both its unprecedented technological adoption and its associated financial risks. Several articles compare the enthusiasm and high valuations in the AI sector to the dot-com bubble, though many argue that today's leading AI companies possess more robust fundamentals and existing profitability. A key concern highlighted across the texts is the financial fragility created by massive, debt-fueled investments in data c...
Send us a text An extensive analysis of Agentic Artificial Intelligence (AI), defining it as an autonomous, proactive, and goal-oriented technological paradigm that fundamentally shifts healthcare from reactive to preemptive care. The text distinguishes agentic AI from earlier forms, like predictive and generative AI, by emphasizing its unique ability to autonomously execute complex, multi-step workflows across both clinical applications, such as personalized treatment planning and autonomous...
Send us a text Analysis of the current artificial intelligence market, arguing that while the technology itself is revolutionary, its financial mechanisms and valuation multiples exhibit clear signs of a speculative bubble. The report details the unprecedented capital expenditure (CapEx) by major "hyperscaler" tech companies, noting that this investment is driving significant, yet potentially "hollow," GDP growth. Furthermore, the analysis highlights severe physical and geopolitical constrain...
Send us a text Implementing agentic Artificial Intelligence (AI) within the banking sector, defining it as a fundamental shift from reactive tools to proactive, autonomous economic actors capable of complex, multi-step execution. This technology promises substantial efficiency gains, such as 200% to 2,000% productivity gains in back-office functions like Anti-Money Laundering (AML), and enables "Proactive Personalization" for customers. However, the report stresses that banks face an existent...
Send us a text The core debate surrounding the implementation of agentic AI in banking is a high-stakes, dual imperative balanced against profound implementation risks. On one side, adoption is presented as an existential necessity: offensively, to achieve massive 200-2,000% productivity gains in operations like KYC/AML , and defensively, to survive the "End of Inertia," where failure to act allows third-party agents to autonomously optimize away core deposit and credit card profits. On the o...
Send us a text This briefing synthesizes research on the state of AI consulting and vendor performance, particularly within highly regulated industries such as finance and healthcare. The findings reveal a significant disconnect between the marketing promises of AI vendors and the reality of implementation, which is characterized by systemic risk and an extremely high rate of project failure. The evidence strongly supports a position of extreme skepticism toward unsubstantiated vendor claims.
Send us a text The entertainment industry is undergoing a fundamental transformation driven by generative Artificial Intelligence (AI). The central conflict shaping this new era is the immense economic pressure on studios to adopt AI for cost efficiency clashing with formidable new barriers erected by labor agreements and U.S. copyright law. While AI's potential to slash production budgets is staggering, the notion of a simple, unilateral replacement of human actors is a misreading of the cur...
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 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 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 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 Generative AI's impact on the ecommerce industry, positioning it as a fundamental technological disruption. It details the transformative opportunities GenAI offers, such as automating the content supply chain for significant cost savings, enabling intelligent supply chains for better inventory management, and delivering hyper-personalization to boost revenue. Concurrently, the report outlines a serious new threat landscape, warning of rising AI-driven fraud, the erosion of bra...
Send us a text The dichotomy between Large Language Models (LLMs) and Small Language Models (SLMs), examining the strategic, economic, and, most critically, the sustainability implications of each approach. It frames the LLM ecosystem as a centralized paradigm that requires massive, high-cost, resource-intensive hyperscale data centers, leading to immense operational burdens concerning energy consumption, water usage, and carbon emissions. Conversely, the SLM movement is presented as a decent...
Send us a text The generative AI market of 2025 is characterized by strategic specialization, moving beyond the notion of a single "best" model. The landscape is now a dynamic competition between powerful, general-purpose platforms and highly focused models excelling in specific domains. Consequently, optimal model selection is entirely contingent on the user's specific use case, budget, and strategic goals. A clear top tier of frontier models has emerged, each defining the state-of-the-art i...
Send us a text The generative AI ecosystem has transitioned from conversational assistants to functional, autonomous agents. The primary metric of value is now the capacity to understand complex goals and execute multi-step tasks within digital environments, marking a shift from content creation to action and automation.
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...
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