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.
Podcast Overview
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.
Language
🇺🇲
Publishing Since
12/15/2025
1 verified contact email on file for Putting the I in AI
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
March 4, 2026
Insights from Wipro and Intel: How AI PCs are powering a new era of work
As generative and agentic AI move from experimentation to everyday use, enterprises are rethinking where intelligence should live—and how it should scale. In this episode of Putting the I in AI, hosted by CIO.com’s Chris Pullam, leaders from Wipro and Intel explore how AI PCs are emerging as a critical control tower for productivity, security, and workforce transformation. Ankur Sachdeva, senior director of Digital Workplace Services at Wipro, explains why the endpoint is taking on a more strategic role. “AI PCs represent distributed intelligence in the hands of employees,” he says. “They enable personalization, resilience, and compliance in ways that cloud-only models can’t support at scale.” From Intel’s perspective, the shift is driven by both technology and economics. Sanjay Aghara, system software architect at Intel, highlights how AI PCs powered by Intel Core Ultra processors bring CPU, GPU, and NPU together to run AI workloads locally. “This is a fundamental move toward hybrid AI,” he notes, “delivering stronger privacy, lower costs, and measurable productivity gains.” Together, Wipro and Intel also discuss persona-based computing, agentic AI at the endpoint, and how enterprises can adopt AI PCs safely and at scale without creating IT chaos. Listen to the full episode to learn how AI PCs are redefining what’s possible when intelligence moves closer to the work itself.
February 6, 2026
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.”
February 6, 2026
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.
5 total episodes available
Deep-dive analytics for Putting the I in AI
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Putting the I in AI?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.