Podcast
XTraw AI: Machine Learning and AI Applications
Hosted by Venkata"Raghu Banda" · EN
This is a podcast on the topics around machine learning and AI applications which happens 1-2 times a month.
15episodes
Episodes
Newest firstAll episodes
#178 When AI finds the Breach first
2w ago00:55:35Tap to summarizeAre enterprises defending against tomorrow’s AI threats — or yesterday’s security model?In this XTraw AI episode, Raghu Banda sits down with Shayak Mazumdar, Founder of Adya, to unpack what the next wave of frontier AI models really means for enterprise security, agentic AI, and governance.Why the real AI security risk is not sci-fi panic, but machine-speed discovery of hidden vulnerabilities across legacy systems, open-source dependencies, and enterprise stacksHow adversarial AI agents, deterministic verification, and runtime governance can help enterprises move beyond quarterly audits and human-speed defense modelsWhat Adya is building around enterprise agentic AI, Adaptive Governance Protocols, and Super Agent AI infrastructure for a world where AI systems both attack and defendYou can reach @ Shayak MazumdarMy LinkedIn @ Raghu BandaOur Website @ XTraw AI
Transcribe →#177 The Hidden OS of AI Driven Engineering
3w ago01:04:04Tap to summarizeWhat happens when the systems running the enterprise start thinking, healing, and optimizing themselves?In this episode of XTraw AI, Raghu Banda sits down with John Willis — one of the pioneers of the DevOps movement — to explore how AI is transforming modern engineering, operational intelligence, and enterprise infrastructure. From the evolution of DevOps to the rise of AI-driven operational systems, this conversation dives into the future of intelligent enterprises and what leaders must rethink before autonomy scales across the enterprise stack. In this episode:How DevOps evolved into platform engineering, observability, and AI-driven operationsWhy enterprises still struggle with operational complexity despite massive cloud and automation investmentsWhat AI means for the future of engineering teams, reliability, system governance, and intelligent infrastructureYou can reach @ John WillisJohn's book @ Rebels of ReasonMy LinkedIn @ Raghu BandaOur Website @ XTraw AI
Transcribe →#176 The Intelligent Content Layer with Box
4w ago00:52:00Tap to summarizeWhat if your AI agents are making decisions… but you don’t fully control the knowledge they’re using?In this episode of XTraw AI, Raghu Banda speaks with Rand Wacker, Head of Product Strategy at Box, on a shift most enterprises are underestimating — AI is only as powerful (and as risky) as the content it can access. As organizations move from copilots to autonomous agents, the real battleground is no longer models… it’s enterprise knowledge and governance.Key highlights:• Why unstructured content is the real fuel behind AI agents, not just structured enterprise data• How to balance AI access vs. enterprise control in a world of sensitive, regulated information• Why governance is becoming the operating system for AI, not just a compliance checkboxYou can reach @ Rand WackerMy LinkedIn @ Raghu BandaOur Website @ XTraw AI
Transcribe →#175 AI goes Operational in April 2026
May 101:14:27Tap to summarizeWhat happens when AI stops being a demo and becomes the operating layer of business?April 2026 marked a major shift in the global AI story — from autonomous agents and orchestration protocols to context engineering, compute races, regulation, and new business models. In this episode, we break down the biggest AI news from around the world and what it means for enterprises, technology leaders, and the future of work.• AI agents moved from experiments to real-world execution• MCP, A2A, and context engineering reshaped the AI stack• Compute, governance, and monetization became global battlegroundsYou can reach @Manjeet @Sesh @Lukas @RaghuWebsite @ XTraw AI
Transcribe →#174 AI for Service Businesses
Apr 1700:52:48Tap to summarizeWhat if your service business could reclaim 10–30 hours every week—without hiring or burning out your team?In this episode of XTrawAI, we sit down with Marvin from Bandsaw AI to explore how service-based businesses—agencies, consultancies, and operational teams—are using AI to eliminate repetitive work and unlock real capacity. This is not about flashy tools, but about building practical AI-driven workflows that directly impact delivery, margins, and team productivity.• Why most AI implementations fail in service businesses—and how to actually drive ROI• How to identify the first high-impact workflow to automate across delivery and operations• Real examples of AI systems removing manual work and creating scalable capacityYou can reach @ Marvin MartinezMy LinkedIn @ Raghu BandaOur Website @ XTraw AI
Transcribe →#173 AiHello for the Digital Autonomy
Apr 1000:30:20Tap to summarizeWhat does the future look like when AI begins to power smarter business decisions at scale?In this episode of XTraw AI, Raghu Banda speaks with Ganesh Krishnan, founder of AiHello and Halzero AI, about how AI is transforming ecommerce, digital marketing, and the next generation of intelligent business automation. Ganesh shares insights from building AI-driven platforms that help businesses optimize advertising, scale operations, and unlock new growth opportunities.In this episode:• How AI is transforming ecommerce advertising and digital marketing• The real business challenges behind scaling online marketplaces• The future of autonomous AI systems helping businesses make smarter decisionsYou can reach @ Ganesh KrishnanMy LinkedIn @ Raghu BandaOur Website @ XTraw AI
Transcribe →#172 The Kubernetes moment for AI Agents
Apr 300:55:06Tap to summarizeWhat happens when AI agents start interacting directly with enterprise systems?In this episode of XTraw AI, Raghu Banda speaks with Craig McLuckie, co creator of Kubernetes and Founder and CEO of Stacklok, about the emerging infrastructure required to safely deploy AI agents in real engineering and enterprise environments.As AI moves beyond experimentation into production workflows, the focus shifts from simply building smarter models to designing secure, governed, and context aware systems that can safely interact with critical business platforms.Key highlights from the episode• Why AI agents may become the next foundational infrastructure layer for enterprises• How security guardrails and context engineering are essential for connecting AI to sensitive systems• Lessons from Kubernetes and the cloud native movement that can guide the future of secure AI developmentYou can reach @ Craig McLuckieMy LinkedIn @ Raghu BandaOur Website @ XTraw AI
Transcribe →#171 Can AI Test What Humans Miss?
Mar 2700:52:13Tap to summarizeWhat if AI could detect software defects before they ever reach production?In the Season 18 kickoff of XTraw AI, host Raghu Banda sits down with Vasusen Patil, Co-Founder of Donobu, to explore how AI is transforming software testing and quality engineering.How AI is reshaping traditional test automation and helping enterprises improve release confidenceThe biggest quality challenges organizations face in modern DevOps and CI/CD environmentsHow AI-driven testing platforms are enabling faster, smarter, and more reliable software releasesYou can reach @ Vasusen PatilMy LinkedIn @ Raghu BandaOur Website @ XTraw AI
Transcribe →#170 The Agentic AI Quarter!
Mar 2001:20:12Tap to summarizeWhat if the first three months of 2026 quietly changed the entire trajectory of AI?In this Season 17 finale of XTraw AI, we step back to examine the biggest global signals shaping artificial intelligence across industries, governments, and technology ecosystems. From the rise of autonomous agents and the intensifying race for compute, to new governance frameworks and evolving AI business models, Q1 2026 revealed how quickly AI is becoming the operating system of modern organizations.Join us as we unpack the six forces driving the AI landscape and what they mean for leaders, builders, and innovators navigating the next wave of transformation.In this episode:• The rise of AI agents and platforms — how AI is moving from chat assistants to workflow automation across enterprises and governments.• The global race for models, compute, and data — why chips, infrastructure, and long-context models are becoming geopolitical and economic battlegrounds.• Trust, regulation, and AI economics — from the EU AI Act and model safety frameworks to emerging monetization models shaping the future of AI.You can reach @Sesh @Manjeet @Lukas @RaghuWebsite @ XTraw AI
Transcribe →#169 Building Intelligent Products for the next Billion Users
Mar 1301:07:47Tap to summarizeIn this episode of XTraw AI, host Raghu Banda sits down with product leader Vinod Suresh to explore how artificial intelligence is reshaping modern products, customer experiences, and platform innovation at scale. From building AI-driven capabilities for millions of users to balancing innovation with responsible design, this conversation dives into the real-world challenges and opportunities of embedding AI into products and platforms.What you’ll hear in this episode:• AI-Powered Product Innovation – How AI is transforming product management and enabling intelligent, customer-centric experiences across digital platforms.• From Hype to Real Impact – The biggest challenges enterprises face when adopting AI and what it takes to move from experimentation to scalable AI solutions.• Designing Human-Centric AI – Why the future of AI products depends on trust, usability, and thoughtful integration into everyday customer workflows.You can reach @ Vinod SureshMy LinkedIn @ Raghu BandaOur Website @ XTraw AI
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