DiscoverDX Today | No-Hype Podcast About AI & DX
DX Today | No-Hype Podcast About AI & DX
Claim Ownership

DX Today | No-Hype Podcast About AI & DX

Author: Rick Spair

Subscribed: 2Played: 45
Share

Description

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.

263 Episodes
Reverse
Send us a text In a decisive reversal of the 2022 'brain drain,' Google has successfully reclaimed its status as the premier destination for elite artificial intelligence researchers. Recent internal data confirmed by the company reveals that approximately 20% of the AI software engineers hired by Google in 2025 were 'boomerang' employees—former staffers returning to the fold after stints at competitors like OpenAI or high-profile startups. This strategic resurgence is driven by what industry...
Send us a text
Send us a text The year 2025 marks a fundamental paradigm shift in cybersecurity, designated by analysts as the crossing of the "AI Rubicon." The traditional dynamic of human attackers versus human defenders has been superseded by the advent of "Agentic AI"—autonomous systems that can reason, plan, and execute complex cyberattacks at machine speed. This has compressed the cyber kill chain from weeks to minutes, creating a hyper-accelerated threat landscape where human response is often too sl...
Send us a text In a landmark collaborative shift for the artificial intelligence industry, leading technology giants—including OpenAI, Anthropic, and Block—have united under the Linux Foundation to launch the Agentic AI Foundation (AAIF). This non-profit consortium is dedicated to establishing the first comprehensive suite of interoperable standards for autonomous AI agents, aimed at preventing ecosystem fragmentation and ending the era of 'walled garden' proprietary AI. By donating core tech...
Send us a text
Send us a text OpenAI has significantly expanded its holiday-themed offerings for 2025, blending tradition with cutting-edge multimodal AI. Key highlights include the rollout of 'Santa Mode' in Advanced Voice, a viral Sora-powered 'Santa Selfie' Easter Egg, and a personalized 'Your Year with ChatGPT' recap. These features are designed not just for novelty, but to showcase the company's latest advancements in video generation (Sora) and reasoning (o3-mini), while simultaneously strengthening u...
Send us a text
Send us a text
Send us a text In 2025, the AI ecosystem transitioned from the **"Chat Era"** (Generative AI) to the **"Action Era"** (Agentic AI). The defining narrative of the year was the release of autonomous systems capable of executing complex workflows without human intervention. This shift was accompanied by a massive physical infrastructure pivot toward nuclear energy to sustain growing compute demands and the first real-world deployments of humanoid robotics in manufacturing. While regulation (EU A...
Send us a text
Send us a text Modern organizations face a critical governance gap as employees increasingly adopt shadow AI tools without official oversight, leading to heightened security and regulatory risks. To address this, leaders are encouraged to implement discovery methodologies and structured frameworks like NIST and ISO 42001 to regain visibility and operationalize accountability. The shifting legal landscape highlights a regulatory divergence between the European Union’s strict risk-based mandate...
Send us a text A comprehensive look at the state of AI, focusing heavily on Retrieval-Augmented Generation (RAG) systems, their optimization, and their application in enterprise environments, particularly through AI Agentic workflows. Key technical aspects covered include methods for mitigating LLM hallucinations (such as Hyper-RAG and advanced knowledge structuring), strategies for optimizing retrieval using hybrid search (combining vector and keyword methods), Reciprocal Rank Fusion (RRF), ...
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...
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, ...
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 ...
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...
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...
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...
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 ...
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...
loading
Comments