XTraw AI: Machine Learning and AI Applications

00:51:10

#198 Building AI Systems People Can Trust

XTraw AI: Machine Learning and AI Applications ·

2026/10/09

Can we truly trust AI if we cannot explain, evaluate, or govern its decisions?In this episode of XTraw AI, host Raghu Banda welcomes Deonna Owens, Founder of TruthSysAI, and Aravind Arthanari, CIO of DashAI, to explore how AI fairness, research, and enterprise governance come together to build trustworthy AI systems.Key Highlights:Beyond AI Bias: Exploring fairness, multi-LLM evaluation, and the challenges of building responsible AI.The Governance Gap: Why enterprise AI needs accountability,

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00:53:26

#197 The Quarter AI becomes SI aka Super Intelligence...

XTraw AI: Machine Learning and AI Applications ·

2026/10/02

AI in Q3 2026 was not just about better models but it was about AI beginning to act, connect, reason with context, and operate across real workflows.In this XTraw AI quarterly roundup, our panel unpacks the biggest developments across agents, orchestration, enterprise data, frontier models, governance, and AI economics.• Why Q3 may mark the shift from generative AI to agentic AI• How MCP, A2A, context engineering, and persistent agents are reshaping the stack• Why AI is becoming cheaper to use even

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00:54:15

#196 Can AI think like your CEO

XTraw AI: Machine Learning and AI Applications ·

2026/09/25

Generic AI can generate impressive answers but does it really understand your company, its strategy, culture, institutional knowledge, and how leadership makes decisions?In this episode of XTraw AI, Raghu Banda speaks with Wade Wyant, Founder of REDEGADES.AI, about moving beyond generic AI toward private, company-specific intelligence built as an AI Co-CxO.We explore:• Why generic AI falls short when business decisions require deep organizational context• How private AI can capture institutional

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00:49:33

#195 The AI Instinct

XTraw AI: Machine Learning and AI Applications ·

2026/09/18

What if AI doesn’t just understand your decisions but starts influencing them?In this episode of XTrawAI, Raghu Banda speaks with Rana Gujral, CEO of Behavioral Signals and author of The AI Instinct, about the emerging intersection of AI, neuroscience, behavioral science, and human decision-making.• Can AI really understand emotion, intent, trust, and human behavior?• When does intelligent assistance cross into behavioral influence?• Are cognitive AI and hybrid intelligence redefining what it means

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00:53:33

#194 The AI Follow-up Agent

XTraw AI: Machine Learning and AI Applications ·

2026/09/11

What if your business doesn’t have a lead problem, but a follow-up problem?In this episode of XTraw AI, Raghu Banda sits down with Nathan Klug to explore how AI agents can reactivate dormant contacts, initiate authentic conversations, and turn overlooked relationships into business opportunities without losing the human element.From leads to relationships: Why existing contacts may be an untapped growth opportunity.AI as the face of your business: Balancing personalization, authenticity, trust, and

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00:32:27

#193 When AI Starts to Act, who controls the Agentic...

XTraw AI: Machine Learning and AI Applications ·

2026/09/07

August 2026 showed that the AI race is no longer just about building smarter models. The real shift is happening around the infrastructure that allows AI to act: agents, orchestration, context, governance, compute, and new business models.In this XTraw AI monthly news roundup, we break down the most important global developments across our six AI news buckets and explore what they mean for enterprises, technology leaders, and the broader AI ecosystem.Agents move into action: AI systems are becoming

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00:54:59

#192 Can AI be secure without Slowing People down

XTraw AI: Machine Learning and AI Applications ·

2026/09/04

As AI becomes part of everyday work, enterprises face a difficult challenge: how do you protect identities, devices, applications, and data without making employees less productive?In this episode of XTraw AI, Raghu Banda speaks with Denis O’Shea, Founder and CEO of Mobile Mentor, about the changing security landscape, Zero Trust, passwordless identity, cloud-native workplaces, and why employee experience has become a critical part of enterprise security.We also explore a provocative question: are

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00:51:38

#191 The Quality Layer for the Agentic Coding Era...

XTraw AI: Machine Learning and AI Applications ·

2026/08/28

What happens when AI can write code faster than enterprises can understand its risk?In this Season 20 opener of XTrawAI, Raghu Banda speaks with Aamir Siddiqui, Co-founder and CEO of OrangePro AI, about the growing quality challenge created by AI-powered software development. The conversation explores how frontier models and deterministic, behavior-level risk mapping can complement each other to help engineering teams identify hidden dependencies, testing gaps, and software risks before they reach

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00:59:22

#190 Reclaiming the Internet in the Age of AI

XTraw AI: Machine Learning and AI Applications ·

2026/08/21

What if the future of the internet is not controlled by platforms, but powered by people?In this episode of XTrawAI, Raghu Banda speaks with Wouter Constant about Nostr, open protocols, censorship resistance, and the future of online communication in the age of AI. As centralized platforms increasingly shape what we see, trust, publish, and share, this conversation explores why open internet infrastructure may become critical for creators, communities, businesses, and AI-native digital

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00:47:26

#189 From Search to Agentic Answers with You.com

XTraw AI: Machine Learning and AI Applications ·

2026/08/07

What happens when AI search evolves into real-time intelligence for answers, agents, and enterprise workflows?In this episode of XTraw AI, Raghu Banda speaks with Saurabh Sharma, Chief Product Officer at You.com, about the future of AI-powered search, grounded answers, real-time web intelligence, and agentic workflows. The conversation explores how enterprises can move beyond traditional search and standalone AI models toward trustworthy, current, and actionable AI experiences.• How AI is changing

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00:54:16

#188 July 2026 -The Month AI Agents Crossed the line...

XTraw AI: Machine Learning and AI Applications ·

2026/07/31

AI in July 2026 was no longer just about smarter models. Across the globe, the focus shifted toward AI agents that can plan, use tools, access enterprise systems, complete tasks and operate with greater independence.In this episode of XTraw AI, we examine the month’s biggest developments across applications and agents, orchestration platforms, enterprise data, frontier models, AI governance and the rapidly changing economics of compute.In this episode:How AI assistants are evolving into autonomous,

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00:46:25

#187 Architecting the Autonomous Enterprise part3 -...

XTraw AI: Machine Learning and AI Applications ·

2026/07/24

Who governs the decision when AI starts to act?In this episode of XTraw AI, Raghu Banda concludes the special series Architecting the Autonomous Enterprise with Ahmed Munir, exploring why enterprises must move beyond model governance and start governing AI-assisted and machine-made decisions before autonomy scales.Why model governance alone is no longer enough in the age of autonomous executionHow enterprises should think about accountability, controls, auditability, and trustWhat CIOs, CFOs, and

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00:50:34

#186 Making Transformation that Lands with AI

XTraw AI: Machine Learning and AI Applications ·

2026/07/17

What does it take to make AI transformation actually land?In this episode of XTrawAI, Raghu Banda speaks with Sridhar Ravilla about moving beyond AI pilots, tools, and strategy decks into real execution, accountability, and measurable enterprise impact.• Why AI transformation is more than technology adoption• How leaders can avoid endless pilots and unclear ownership• What it takes to connect AI, cloud, data, people, and execution to business valueYou can reach @ Sridhar RavillaMy LinkedIn @ Raghu

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00:49:12

#185 Architecting the Autonomous Enterprise Part2 -...

XTraw AI: Machine Learning and AI Applications ·

2026/07/10

Where is revenue silently leaking inside enterprise systems?In this episode of XTraw AI, Raghu Banda continues the special series Architecting the Autonomous Enterprise with Ahmed Munir, exploring how hidden execution gaps across enterprise systems can quietly impact revenue, operations, and business performance.Where revenue leakage occurs across pricing, contracts, order management, billing, and operationsWhy ERP, CRM, and Order-to-Cash systems often fall short as true revenue execution

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00:58:40

#184 The Quarter Agents became Infrastructure

XTraw AI: Machine Learning and AI Applications ·

2026/07/03

In this XTraw AI panel episode, we look back at Q2 2026 — a quarter where artificial intelligence moved beyond the chatbot conversation and deeper into the world of agents, platforms, enterprise context, compute, trust, and AI economics.Together with our panel guests, we explore how AI agents are becoming part of real workflows, why orchestration and context are becoming critical, and what this means for enterprises preparing for the next wave of AI adoption.How AI agents are moving from demos to

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00:55:02

#183 Architecting the Autonomous Enterprise Part 1 -...

XTraw AI: Machine Learning and AI Applications ·

2026/06/26

Can platform modernization really create business value, or are enterprises still missing the bigger picture?In this episode of XTraw AI, Raghu Banda speaks with Ahmed Munir as part of the special 3 part series Architecting the Autonomous Enterprise, exploring why technical modernization must be connected to measurable business outcomes.Why platform modernization alone does not automatically create enterprise valueHow engineering KPIs and business KPIs often become disconnectedWhat it takes to move

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00:45:10

#182 The Insurance Agency OS for the AI Era

XTraw AI: Machine Learning and AI Applications ·

2026/06/19

Can AI help insurance agencies grow faster without simply adding more headcount?In this episode of XTraw AI, Raghu Banda speaks with Ryan Deeds, Head of AI & Enablement at ALKEME, about how AI is being embedded into real insurance agency workflows to remove friction, improve decisions, and create measurable business impact.How AI can eliminate manual bottlenecks and create operational capacityWhy data, analytics, and enablement are key to scaling agency growthWhat separates practical AI adoption

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00:54:57

#181 From Customer Support to Customer Intelligence

XTraw AI: Machine Learning and AI Applications ·

2026/06/12

What happens when AI moves from customer support automation to true customer intelligence?In this Season 19 kickoff episode of XTrawAI, Raghu Banda speaks with Italo Belandria, Head of Customer – Americas at Ringover, about how AI is reshaping customer operations, omnichannel communication, and customer success.How AI is helping customer teams become more proactive and data-drivenWhy automation still needs empathy and the human touchHow Ringover is bringing communication, insights, and performance

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00:51:19

#180 Decentralizing Trust in the Age of AI with StorX...

XTraw AI: Machine Learning and AI Applications ·

2026/06/05

As AI agents become more autonomous, are we rethinking where their data lives and who controls it?In the Season 18 finale of XTraw AI, Raghu Banda sits down with Murphy Jo, Chief Growth Officer at StorX Network, to explore the intersection of AI, cybersecurity, decentralized infrastructure, and digital autonomy.Key highlights:• Why AI is driving new conversations around data security and ownership• How decentralized storage and DePIN networks are challenging traditional cloud models• What the future

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01:14:12

#179 May 2026 and the rise of the Agentic Enterprise

XTraw AI: Machine Learning and AI Applications ·

2026/06/01

In this May 2026 AI news roundup, we move beyond the headlines and look at the bigger shift happening across the AI world: agents are becoming real, enterprises are learning how to manage them, and trust is becoming the gatekeeper for scale.This episode explores how AI is moving from simple chatbots to governed, enterprise-ready agents that can work across business processes.AI agents are entering real workflows: from voice agents and coding assistants to tax, legal, customer service, and advisory

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