204 episodios
- 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 as the infrastructure race gets dramatically more expensive
A fast-moving quarter, six major themes, and one big question: Are enterprises ready to give AI responsibility, not just tasks?
You can reach @ Lukas @ Manjeet @ Sesh @ Raghu
Website and more info at XTraw AI - 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 knowledge and challenge executive assumptions
• Where human judgment and accountability must remain as AI enters the executive decision-making process
A thought-provoking look at what comes after generic copilots when AI that actually understands the business
You can reach @ Wade Wyant
My LinkedIn @ Raghu Banda
Website @ XTraw AI - 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 to think with machines?
You can reach @ Rana Gujral
My LinkedIn @ Raghu Banda
Further info @ XTraw AI - 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 human control.
Agentic follow-up: How AI agents can move beyond automation to create meaningful conversations.
You can reach @ Nathan Klug
My LinkedIn @ Raghu Banda
Website @ XTraw AI - 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 more persistent, connected, and capable of executing real work.
Control becomes the new architecture: MCP, A2A, context engineering, identity, governance, and observability are emerging as critical foundations.
AI economics gets real: Model costs are falling, infrastructure spending is soaring, and enterprises are beginning to measure AI through work completed and business outcomes.
You can reach @Manjeet @Lukas @Raghu
Website at XTraw AI
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Acerca de XTraw AI: Machine Learning and AI Applications
This is a podcast on the topics around machine learning and AI applications which happens 1-2 times a month.
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- Muchas otras funciones de la app


XTraw AI: Machine Learning and AI Applications
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