Putting the I in AI

Foundry

In the blink of an eye, AI tools have gone from innovative to tables stakes. It’s time to acknowledge a fundamental truth: If you’re not using AI today, you will be tomorrow. The question isn’t if you will adopt this transformative tool, but how. In this podcast series, we explore how Intel and its partners are enabling scalable, affordable, and secure AI — from adoption to implementation. Each episode, we’ll meet a new Intel partner and explore how they enable business transformation through the smart and thoughtful application of AI.

Episodes

  1. FEB 6

    Building trust in AI: How Intel, Dell, and TCS are accelerating responsible adoption

    As AI evolves from hype to reality, many enterprises remain cautious, especially in highly regulated industries where trust, transparency, and compliance are non-negotiable. In this episode of Putting the I in AI, hosted by CIO.com’s Chris Pullam, leaders from Intel, Dell Technologies, and Tata Consultancy Services (TCS) discuss how organizations can embrace AI responsibly while laying the groundwork for long-term innovation. “The journey to AI adoption isn’t just about technology,” says Manav Sadana, head of cloud and infrastructure at TATA Consultancy Services. “It’s about reimagining how humans and machines work together. Enterprises are still building the governance, structures, and ethical frameworks needed to scale AI responsibly.” Sangeeta Roy, senior director of global partner business at Intel, agrees that success starts with a solid foundation. “AI should be an extension of your overall IT infrastructure,” she says. “It needs to be embedded into workflows, governed like any other enterprise system, and supported by secure, flexible compute environments.” For Dell’s Lance Mitchell, global executive director, GSI & advisories, the differentiator is partnership. “AI innovation moves too fast for any one company to do it alone,” he says. “Our ecosystem approach — built on trust, flexibility, and transparency — helps customers move forward confidently.”

    31 min
  2. FEB 6

    How Intel and HCLTech are shaping the future of work with AI PCs

    As generative and agentic AI become table stakes, enterprises are facing a new question: not if to deploy AI, but where it should run. In this episode of Putting the I in AI, hosted by CIO.com’s Chris Pullam, leaders from HCLTech and Intel discuss the rise of the AI PC and why on-device intelligence is becoming a cornerstone of enterprise AI strategies. “Hybrid AI is reality,” says Sarah Wieskus, general manager for commercial client and data center sales at Intel. “There will be workloads that make sense in the cloud, and there will be workloads that make sense on the edge or on device. Running AI where it makes the most sense delivers lower latency, better privacy, and even offline intelligence.” Zuber Khan, who leads the Intel ecosystem business unit at HCLTech, notes that the shift is being driven as much by users as by IT. “AI consumption is no longer centralized,” he explains. “Developers, engineers, analysts, and frontline workers want intelligence embedded directly where they work. AI PCs mark the transition from asking can we do AI to how fast can we enable thousands of users with it.” For regulated industries, that proximity to the user can be transformative. “In life sciences and healthcare, we deal with highly sensitive data,” says Joelien Jose, global leader for Digital Foundation Services at HCLTech. “The ability to do local inference, where data never leaves the device, makes it easier for organizations to innovate while maintaining compliance and trust.” Throughout the conversation, all three guests emphasized that success with AI PCs requires more than deployment. Leaders must align use cases to real workflows, invest in change management, and measure outcomes that matter. Listen to the full episode to hear how AI PCs are helping enterprises move AI from experimentation to everyday impact—and why intelligence closer to the user is shaping the future of work.

    33 min
  3. 12/15/2025

    Lessons from Intel and Wipro: Building an enterprise-wide AI strategy

    Generative and agentic AI are reshaping enterprise strategy. However, many organizations remain stuck in the proof-of-concept phase, struggling to scale pilots into production. In this first episode of Putting the I in AI, hosted by CIO.com’s Chris Pullam, leaders from Intel and Wipro share how forward-thinking CIOs are turning experimentation into enterprise-wide transformation. “We’re clearly seeing a shift from POC fatigue to platform-first thinking,” says Mayur Shah, general manager and global practice head for platform engineering and innovation at Wipro. “The focus now is on embedding agentic AI into core business workflows — like contract optimization or decision automation — to deliver measurable outcomes. It’s not about experiments anymore; it’s about operational impact.” Lynn Comp, head of sales for Intel’s AI Center of Excellence, emphasizes that the real differentiator isn’t just the technology but the data strategy behind it. “The magic of AI comes from being able to connect with the data unique to each business,” she says. “That requires disciplined data practices, built-in security and governance, and keeping humans in the loop to ensure trust and accountability.” As enterprises seek to scale responsibly, both experts point to modular architectures and pragmatic roadmaps as the key to sustainable success. “Start small, move fast, and build for flexibility,” Shah advises. “That’s how organizations future-proof their AI investments.”

    17 min

About

In the blink of an eye, AI tools have gone from innovative to tables stakes. It’s time to acknowledge a fundamental truth: If you’re not using AI today, you will be tomorrow. The question isn’t if you will adopt this transformative tool, but how. In this podcast series, we explore how Intel and its partners are enabling scalable, affordable, and secure AI — from adoption to implementation. Each episode, we’ll meet a new Intel partner and explore how they enable business transformation through the smart and thoughtful application of AI.