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DX Today | No-Hype Podcast & News About AI & DX

The DX Today Podcast: Real Insights About AI and Digital TransformationTired 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

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All Episodes

37:59

👻 Shadow AI: Risks, Governance, and Enterprise...

DX Today | No-Hype Podcast & News About AI & DX ·

2025/12/19

Send us a text Strategic analysis of the rapidly evolving threat posed by "Shadow AI"—unauthorized Artificial Intelligence tools and autonomous agents—within the corporate environment of 2025. The source explains that this phenomenon is a significant escalation of traditional Shadow IT, creating an unmanaged "Shadow Army" of digital agents capable of executing complex business logic and accessing proprietary data without IT oversight. Crucially, the analysis details the multi-faceted risks, i...

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44:24

🧠 Multimodal AI: Landscape and Adoption 2025

DX Today | No-Hype Podcast & News About AI & DX ·

2025/12/18

Send us a text Extensive overview of the Multimodal AI landscape as of late 2025, defining this period as the transition from older Large Language Models (LLMs) to Native Multimodal Intelligence. The report details key architectural shifts, moving from "late fusion" to more efficient "early fusion" models like Meta’s Llama 4 and Google’s Gemini 3, which process diverse inputs (text, audio, vision) simultaneously. The competitive environment is characterized by a "Big Three" dominance—Google, ...

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47:52

💰 GPU FinOps for Enterprise AI Viability and ROI

DX Today | No-Hype Podcast & News About AI & DX ·

2025/12/18

Send us a text An extensive analysis of GPU FinOps, a new financial discipline necessary for managing the distinct and volatile economics of enterprise Artificial Intelligence, which is driven by expensive and scarce Graphics Processing Units (GPUs). It contrasts this new field with traditional Cloud FinOps, explaining that AI workloads involve non-deterministic consumption patterns and complex trade-offs between hardware selection (e.g., NVIDIA H100 vs. A100) and cost efficiency. The report ...

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45:05

🛠️ Practical AI vs. Agentic AI Hype

DX Today | No-Hype Podcast & News About AI & DX ·

2025/12/17

Send us a text "Practical AI vs. Agentic AI Hype," examines the significant divide in the enterprise technology landscape of 2025 between successful, governed AI solutions and the unfulfilled promises of autonomous systems. It argues that high-value deployments are consistently found in "Practical AI" applications—such as fraud detection, predictive analytics, and human-assisting tools like copilots and Retrieval-Augmented Generation (RAG)—which focus on simple process automation and administ...

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39:00

🤖 AI Productivity Versus Jobs in US Banking

DX Today | No-Hype Podcast & News About AI & DX ·

2025/12/16

Send us a text A fact-based analysis detailing the rapid adoption of artificial intelligence (AI) across five major U.S. banks—JPMorgan Chase, Bank of America, Wells Fargo, Citigroup, and PNC Financial. The core theme is the trade-off between soaring productivity gains driven by AI tools and the resulting implications for workforce employment. The analysis documents measurable efficiency improvements, such as JPMorgan’s COiN saving 360,000 work hours annually and Bank of America’s internal AI...

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46:12

📉 AI Vendor Shakeout and Enterprise Risk Management

DX Today | No-Hype Podcast & News About AI & DX ·

2025/12/14

Send us a text The enterprise technology landscape is on the cusp of a severe correction in the artificial intelligence sector. Following a period of hyper-growth in 2023-2024, characterized as a "Cambrian explosion" of innovation, the market is now poised for a significant "shakeout" over the next 18 to 24 months. This consolidation event will see a large number of AI startups fail, driven by unsustainable business models, exorbitant compute costs, and aggressive consolidation by large...

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37:04

🔬 Navigating AI Hype for Facts: A Verification Stack

DX Today | No-Hype Podcast & News About AI & DX ·

2025/12/12

Send us a text Comprehensive framework for establishing epistemic trust and navigating the pervasive misinformation, or "hype," surrounding artificial intelligence (AI) technologies. It identifies that the majority of AI-related information is compromised by financial incentives and argues for a discipline of verification anchored in structurally independent institutions. The text categorizes reliable information into four key pillars: Academic Rigor (e.g., Tier 1 conference proceedings like ...

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26:46

⚙️ The Vertical Integration and Regulatory Future of AI

DX Today | No-Hype Podcast & News About AI & DX ·

2025/12/11

Send us a text comprehensive overview of the rapidly accelerating Artificial Intelligence landscape in late 2025, highlighting both intense technological competition and mounting regulatory challenges. Major advancements include Google's new Gemini 3 Deep Think model and the strategic push toward efficient Agentic Orchestration architectures, exemplified by models like ToolOrchestra, which prioritize smart management over raw scale. Concurrently, the industry is grappling with profound societ...

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35:05

The Billable Hour Kills Legal AI

DX Today | No-Hype Podcast & News About AI & DX ·

2025/12/10

Send us a text The widespread adoption of legal technology (LegalTech), particularly advanced AI, is hindered not by technological inadequacy but by a complex matrix of human, economic, and cultural barriers. While the potential for efficiency and improved client service is vast, implementation failures are common, with some reports indicating failure rates as high as 77% within in-house legal departments. The core issue is a systemic underestimation of the "people problems" associated with c...

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37:20

⚖️ Agentic AI: Enterprise Strategy, Reality, and Hype

DX Today | No-Hype Podcast & News About AI & DX ·

2025/12/08

Send us a text Agentic AI represents a fundamental technological shift, moving beyond generative AI's content creation to systems that can autonomously perceive, decide, and act to achieve goals. While industry analysts project explosive growth and vendor marketing touts transformative potential, the current enterprise reality is one of early-stage, experimental adoption. A significant gap exists between compelling demonstrations and reliable, production-scale systems, with Gartner predicting...

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47:38

Ninety-Five Percent of AI Pilots Fail

DX Today | No-Hype Podcast & News About AI & DX ·

2025/12/03

Send us a text The enterprise adoption of Artificial Intelligence in 2025, detailing a significant "GenAI Divide" between a few high-performing companies and the large majority stuck in "Pilot Purgatory." Success is defined by the ability to move projects to production rapidly, a trait exhibited more often by agile mid-market firms compared to large organizations struggling with governance and legacy systems, which suffer from the "Scale Trap." The primary inhibitors to scaling AI are identif...

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33:18

⚠️ The Transition from Human-in-the-Loop to...

DX Today | No-Hype Podcast & News About AI & DX ·

2025/12/02

Send us a text The established practice of Human-in-the-Loop (HITL) oversight is obsolete, posing significant risks and economic limitations for modern AI development. The analysis demonstrates that human physiological latency renders intervention dangerous in high-velocity kinetic environments like autonomous vehicles, while the linear costs of human labor cannot meet the exponential scaling demands of training massive language models. Cognitively, the human operator acts inconsistently and ...

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44:48

⚙️ Agentic AI: The Architecture of Autonomy and...

DX Today | No-Hype Podcast & News About AI & DX ·

2025/12/01

Send us a text A comprehensive analysis of Agentic AI in 2025, contrasting the industry's marketing hype of fully autonomous workers with the engineering reality of powerful but often fragile systems. The report explains the cognitive architectures that define true agency, establishing a taxonomy of autonomy and dissecting the core components like planning engines and tiered memory management. It examines the competitive landscape of developer infrastructure, detailing the differences between...

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17:14

The AI Divide Tech Capability Vs. Zero ROI

DX Today | No-Hype Podcast & News About AI & DX ·

2025/12/01

Send us a text The world of artificial intelligence has arrived at a paradoxical juncture, defined by what can only be described as the "GenAI Divide." On one side of this chasm, we are witnessing a breathtaking acceleration of technical capabilities. Frontier AI models are demonstrating advanced reasoning skills once thought to be years away. On the other side is a stark business reality: despite billions in corporate investment, an estimated 95% of organizations report zero measurable retur...

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45:52

🔎 AI Vendor Verification: Navigating Hype, Reality,...

DX Today | No-Hype Podcast & News About AI & DX ·

2025/11/29

Send us a text Guide for enterprise decision-makers on verifying vendor claims regarding artificial intelligence, emphasizing that trust must shift from mere sentiment to a verifiable engineering state by 2025. The core challenge identified is the GenAI Divide, a fundamental chasm between AI's theoretical capability and the near-zero measurable ROI reported by the vast majority of organizations. The document details methods for detecting AI washing and identifying "wrapper" vendors who merely...

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27:59

⚖️ Autonomous Agent Accountability and the Crisis of...

DX Today | No-Hype Podcast & News About AI & DX ·

2025/11/27

Send us a text An extensive analysis of The Accountability Gap, a critical governance crisis emerging as organizations adopt highly autonomous Agentic AI systems that act and reason independently. This gap is fueled by the inherent difficulty in supervising non-deterministic software, creating acute liability in sectors ranging from finance to healthcare, where failure can result in market crashes or patient harm. Legally, court precedents are systematically dismantling the "Black Box" defens...

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41:42

📔 AI Supercycle vs. Dot-Com Bubble: Hype, Risk, and...

DX Today | No-Hype Podcast & News About AI & DX ·

2025/11/25

Send us a text A detailed comparative analysis between the current Artificial Intelligence (AI) boom and the Dot-Com Bubble, arguing that while both share market exuberance, they differ fundamentally in financial structure and risk. It posits that the AI mania is led by financially robust technology incumbents, contrasting sharply with the insolvent, pre-revenue startups of the early 2000s. A primary distinction lies in asset depreciation, where rapidly obsolete AI hardware (GPUs) create a "u...

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29:48

🤖 Agentic AI Implementation: Ten Strategic...

DX Today | No-Hype Podcast & News About AI & DX ·

2025/11/25

Send us a text From Generative AI to Agentic AI, which focuses on the autonomous execution of complex goals rather than mere content creation. It outlines a strict, progressive "Crawl-Walk-Run" implementation strategy, urging organizations to first automate specific vertical workflows before attempting complex cross-functional integration. Key strategic pillars address the necessity of Multi-Agent Orchestration Patterns, such as the Sequential or Supervisor models, and the critical importance...

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38:43

Agentic AI Rewrites Careers and Enterprise Value

DX Today | No-Hype Podcast & News About AI & DX ·

2025/11/23

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...

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49:11

🤖 Agentic AI in Healthcare: Applications and...

DX Today | No-Hype Podcast & News About AI & DX ·

2025/11/21

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...

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446 results

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