50 episodes listed below
Enterprise AI after the demo.
The Artificial Intelligence Podcast is a business-minded AI interview show led through direct questions about what breaks in real deployments. Recent conversations focus on agentic systems, enterprise data, APIs, chip design, security controls, and the policy pressures around rapid adoption.
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The Artificial Intelligence Podcast approaches AI from the place where the excitement becomes operational. It is interested in deployment. Recent conversations focus on enterprise systems that have to survive contact with real data, real permissions, real attackers, real customers, and real regulators. The show’s questions often begin with a sharp business problem: why AI projects fail, what breaks between proof of concept and production, how agents should be governed, and who owns the data strategy. That gives the interviews a practical spine. The guests bring the vocabulary of boards, CIOs, CISOs, APIs, data resilience, chip architecture, policy, and security posture. Agentic AI is a recurring concern, especially when autonomous tools can act across email, workflows, APIs, or customer interactions. The show treats those agents as powerful and risky at the same time. It does not stay at the demo layer. Conversations move toward sandboxing, registration, redaction, access controls, firewalls, recoverability, and the hard boundary between functional success and accountable production. Regulation also gets sustained attention. One recent discussion frames fragmented state approaches, algorithmic discrimination laws, data center investment, and national AI rules as parts of a larger infrastructure problem. Another cluster looks at the technical foundations beneath adoption: API design for AI consumption, GPU bottlenecks, deterministic versus non-deterministic workflows, and hardware designed around AI workloads. The pace is businesslike and question-driven. It can be technical, but the technical detail usually serves an implementation question. The show is at its strongest when it asks what has to be true before AI can be trusted at scale. Its version of accessibility is not simplification for its own sake. It is translation between executive urgency and engineering reality. For PlayNext, it sits in the lane of enterprise AI, security, governance, and policy rather than consumer AI culture or model hype.
Made for: Suits a listener who follows AI through enterprise deployment, governance, security, infrastructure, and policy. Best for someone who wants boardroom questions connected to production details.
What sets it apart: The show’s edge is its repeated focus on what breaks when AI leaves the proof-of-concept stage. It connects agents, data trust, regulation, APIs, security controls, and hardware into one enterprise operating picture.
Interviews and conversations with thought leaders in Artificial Intelligence, Machine Learning and Data Science
The demo works; Dr. Tony Huang asks what breaks when you remove the agent's admin privileges.
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Short reviews from the PlayNext desk, based on the episodes we processed.
A clear, practical look at why autonomous AI agents are becoming an enterprise security problem before the guardrails are fully in place.
The Artificial Intelligence Podcast treats autonomous AI agents less as a novelty than as a governance problem already arriving inside companies.
A grounded case for making enterprise AI accountable, recoverable, and built on trusted data.
Enterprise AI can break down long before model quality is the real problem. Shiva Pillay, SVP and General Manager of Veeam Americas, keeps the focus on the conditions that make AI dependable: data that is accurate, complete, permissioned, private where it needs to be, and…
A brisk, practical look at keeping sensitive data from moving through AI workflows before attackers can exploit it.
AI security becomes tangible as Operant's co-founder and CEO shifts the conversation from broad threat language to the mechanics of data in motion. Speaking with Dr.
A grounded interview on why AI production readiness depends on permissions, governance, scale, and the systems around the model.
Raj Shukla, CTO of Symphony AI, frames the jump from AI proof of concept to production as less a victory lap than an engineering reckoning. Vertical AI may help companies reach ROI quickly, but the real test is whether the surrounding data, permissions, governance, and scale can…
A practical episode on AI-assisted coding, API design, and the infrastructure tradeoffs behind enterprise AI.
Dr. Tony Huang's conversation with Balaji Rahman, Postman's head of engineering, keeps its focus on what happens after AI generates code. Rahman frames models as useful for a fast first pass, while leaving engineers responsible for testing, refinement, fixes, and code review…
A grounded interview on AI-enabled chip design, workload-specific architectures, and a more collaborative design process.
AI-enabled chip design is framed as a challenge to the divide-and-conquer habits that made hardware complexity manageable, but also left the work heavily segmented.
From economic pressures to investment consequences.
AI capability meets the work of building.
Daily AI news through the lens of trust, infrastructure, and real-world deployment.
The Artificial Intelligence Podcast episode centers on Babak's case for continuous agentic AI, multi-agent orchestration, and enterprise security at Cognizant.
Hagay Lupesko discusses how AI inference has overtaken training as the dominant AI workload due to widespread adoption of tools like ChatGPT.
Shiva Pillay, SVP and General Manager of Veeam Americas, tells Dr.
Dr.
Christopher Brown, founding managing partner of The Nova Rose Group, assesses the consequences of more than 1,000 state and local AI bills across a 50-state regulatory patchwork.
Dr.
Raj Shukla tells Dr.
Balaji Rahman, Postman's head of engineering, says AI speeds code generation and prototyping, but engineers still have to verify corner cases, hallucinations, and spec compliance.
The Artificial Intelligence Podcast features Dr.
Paul Canetti, Sketch’s CEO and a former Apple product designer, says good UX still means helping users complete a task pleasantly.
Zachary Hanif, VP of Data and AI at Twilio, tells host Dr.
Richard White, CEO of Fathom, discusses how AI is transforming meeting note-taking and knowledge dissemination in organizations.
Maddie Daianu, Head of Data & AI at Intuit Credit Karma, discusses how data and AI are integral to Credit Karma's product and how they collect and manage first-party data.
CEO Eleanor Lightbody discusses Luminance's legal-grade AI and the impact of generative AI on the legal industry.
Stefan Klopp, CTO of Matador Network, discusses the shift from video-based destination marketing to AI in the travel industry.
Babak Hodjat, CTO of AI at Cognizant, discusses his background in AI and his work on Siri and other AI projects.