The podcast that goes behind and beyond the technology news headlines to explore the unheard and unseen. The topics include 5G, AI, IoT, Smartphones, Networking, Intellectual Property and others.
Tantra's Mantra with Prakash Sangam
Claim This Podcastby Prakash Sangam
5.0(5 reviews)
114 episodes
Updated Weekly
Accepts GuestsHas SponsorsLocation 🇺🇸
41
Podcast Authority
BetaFairBased on show quality, social media presence, reviews, charts, and more
Quality68
Social0
YouTube0
Engagement32
Podcast Overview
The podcast that goes behind and beyond the technology news headlines to explore the unheard and unseen. The topics include 5G, AI, IoT, Smartphones, Networking, Intellectual Property and others.
Language
🇺🇲
Publishing Since
5/21/2020
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41
Podcast Authority
BetaFairBased on show quality, social media presence, reviews, charts, and more
Quality68
Social0
YouTube0
Engagement32
7
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excellent
Episode Length
41 minutes
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Recent Episodes
June 19, 2026
Ep. 69: Lenovo VP on QIRA – Cross Device/Platform/OS Personal AI Agent
<p>At CES 2026, Lenovo showcased an exciting new AI innovation called QIRA, redefining what personalized technology can offer. This powerful, system-level feature works seamlessly across devices and platforms, enhancing user experience like never before, and it’s now being rolled out on select Lenovo devices.</p><p>In this episode, I had the privilege of speaking with Jeff Snow, the Head of Product and AI Ecosystem at Lenovo. We explored the inspiring vision behind QIRA, its capabilities, and how Lenovo is uniquely positioned to offer such an experience. Join us as we dive into how QIRA gathers insights, develops its extensive knowledge base, maintains synchronization across devices, and implements robust measures to protect user privacy and security.</p><p>Index:</p><p>00:00 - Intro</p><p>02:00 - Guest intro (Jeff Snow, VP & Head of Product & AI Ecosystem)</p><p>02:50 - What is QIRA - Cross-device, local-first personal intelligence</p><p>03:42 - The vision of QIRA - Uniform "Lenovo AI Experience" across devices</p><p>05:13 - Organizationally, one team is working on QIRA, implemented on all Lenovo devices</p><p>06:12 - Examples of what it can do today: Catch me up - Summarize what happened across devices, Pay attention - Summarize meetings, and make it part of the knowledge base across devices, more</p><p>08:17 - QIRA learns from experiences - Implicitly and explicitly (with user permission), gathers and personal knowledge & insights</p><p>09:59 - It is more than an OTT app - App interface, but tightly integrated into the machine, even connecting with the OS, utilizes local AI models, and can be surfaced in any other apps</p><p>12:29 - The inputs to QIRA - Multimodal, text, images, voice, additional context (emails, chats, etc.), system health and telemetry, cross-device artifacts (e.g. notifications)</p><p>14:00 - Explicit user permission is required before saving any inputs, and it can be revoked at any time. "Humans are always in the loop"</p><p>15:06 - ALL the data generated by the device is stored locally on that specific device, the vectorized and encrypted data is shared across devices to keep all the devices in sync</p><p>18:16 - The "learning" happens and is stored in the individual device, and synced across devices</p><p>20:10 - Hybrid and agile model selection: mix of local, cloud, own, and third-party, with always a local-first approach</p><p>21:56 - User option "Local-only" or "Hybrid." Even in local-only mode, sync across devices can be enabled</p><p>23:56 - Most QIRA actions are user-initiated or part of an experience or workflow.</p><p>23:27 - It can surface suggestions, but not directly take action without direct user intervention</p><p>28:49 - QIRA can be the primary AI assistant interface on your Lenovo device</p><p>32:20 - Lenovo is exploiting its unique position, with pocket-to-cloud offerings, to provide a more personalized and well-rounded AI experience to its users</p><p>32:49 - Key challenges Lenovo faced in bringing QIRA to market: changing the mindset of the team to be software-focused, and moving quickly</p><p>34:99 - Defenses against accessing QIRA-related data when the device is stolen</p><p>36:17 - Ability to migrate personal knowledge base from old to new device</p><p>37:20 - No QIRA knowledge base vector data cloud back-up</p><p>38:30 - Different peer product in China, QIRA is for the rest of the world</p><p>39:33 - Evolution of QIRA: More devices, third-party devices, even richer knowledge base & orchestration, enterprise solution</p><p>39:48 - Portability of QIRA vector database</p><p>41:20 - Closing</p>
April 20, 2026
Impinj VP on RFID Transforming Supply Chain Logistics
<p class="MsoNormal">For many years, RFID technology has been used by leading retailers such as Walmart, Macy's, and Lowe's. CVS, Zara, and others for theft prevention. But now, it is ready to go beyond this limited use case and transform supply chain logistics.</p> <p class="MsoNormal">In the episode, I talk to Gagan Luthra, VP of Product and Strategy at RAIN RFID leader Impinj, about the history of technology, how it is currently being used, how it is evolving to support complex supply chain use cases, including Gen2X performance enhancements, new form factors, higher processing power, and more. We also delve into even more exciting opportunities, including using AI models for better forecasting, analytics, and trend analysis, as well as monetizing data through third-party players.</p> <p class="MsoNormal">Also, check out my EE Times article about RFID tackling food waste losses, utilizing Avery Dennison food labels:</p> <p class="MsoNormal">https://bit.ly/47APGav </p> <p>Index:</p> <p>00:00 - Intro<br /> 02:13 - Guest intro (Gagan Luthra)<br /> 04:41 - History and current state of RFID, expanding use cases, beyond theft prevention<br /> 06:30 - RFIDs are much more than wireless barcodes - much more information and value, from "cradle-to-grave" of products<br /> 09:25 - How RFID works without batteries - Tags are energized by an RF signal, and the receiver "reads" the reflections from the tags for identification<br /> 11:32 - Automated and Real-time information, unlike barcodes, with static information, from manual operation<br /> 15:03 - Higher initial cost of RFID compared to barcode, but much lower opex, much higher utility, and better ROI<br /> 20:30 - RFID cost curve continuing to go down, with economies of scale, wider adoption, and improvement in silicon process technology<br /> 22:19 - RAIN Alliance, standards for interoperability, difference between RAIN RFID, and NFC <br /> 25:13 - Upgrades needed beyond RFID standards for complex supply chain use cases, details of Impinj's Gen2X enhancements to address those needs, Gen2X traction <br /> 29:07 - Full backward compatibility with RAIN standards, how that works<br /> 31:30 - Edge processing needs at RFID readers, Impinj's latest announcement about R700 enhancements for readers<br /> 33:45 - How AI can power next phase of RFID - real-world, physical data for AI models, Edge AI in readers for smart decisions, utilizing cloud for better forecasting, trend analysis, and more, monetization opportunities for anonymized data for third-party players<br /> 37:59 - "Crystal Ball" question, where is RFID headed in the next 3-5 years - wider adoption across many verticals, tagging almost anything, even very low-cost items, and adoption of AI <br /> 40:35 - Closing</p> <p> </p>
April 7, 2026
Lenovo VP on Endpoint Security, AIPCs and NPU
<p class="MsoNormal">Just like everything else, AI is profoundly transforming the security landscape. It is increasing the attack surface, sophistication, and impact. while also providing more potent tools to increase security. In enterprise PCs, security and device management apps (as part of the Corp Image) significantly reduce performance. AIPCs promise to run apps more efficiently on NPUs.</p> <p class="MsoNormal">In the episode, I talk to Nima Baiati, VP of Commercial Software and Security at Lenovo, about the evolving PC security landscape, the impact of AI, and the challenges of migrating security apps to the NPU. We also delve into how to incentivize ISVs to prioritize migration, how Lenovo can serve as a model for the industry, and the expected timelines for the NPU migration.</p> <p>Index:</p> <p>00:00 - Intro<br /> 02:10 - Guest intro (Nima Baiati)<br /> 03:17 - Changing landscape of endpoint security, especially with the advent of AI<br /> 02:23 - How is Lenovo addressing the changing landscape, both from traditional and AI-enhanced threat vectors? - ThinkShield - a comprehensive platform ensuring security from the supply chain, hardware, and software<br /> 11:01 - AI: the double-edged sword- tremendous capability to both create & fight security risk<br /> 12:53 - AIPCs and the promise of NPU for running security and device management functions more efficiently<br /> 14:00 - NPU migration challenges - Three forks ISVs should run through: 1) Re-architecting and optimizing ML models; 2)Instruction set variability between NPU vendors; 3) Testing and performance optimization. How Lenovo helps ISVs in migration<br /> 16:36 - Awareness about the benefits NPU among the stakeholders (ISVs, CIO/CSO/IT Managers, OEMs)<br /> 19:20 - Business model challenge of ISV in migrating security applications to NPU - Lots of work but no new revenue. <br /> 22:26 - Do enterprises (CIO, IT Managers) have to do anything to accomplish migration to NPU? How Lenovo works closely with ISVs and enterprise customers to bring mutually beneficial solutions<br /> 25:31 - How to incentivize ISVs to prioritize migration, e.g., include it in their KPI?<br /> 28:03 - How Lenovo's size and scale uniquely position it to be the leader and drive this for the industry, and pave the road<br /> 29:01 - Should the NPU migration be driven as an industry initiative? Is there a need for standardization, etc.?<br /> 31:08 - How is Agentic AI affecting security? - Huge role for automation, rapid response, but agents completely taking over security is a fantasy. Human intervention<br /> 35:01 - Latest trends in the security landscape - AI privacy, AI Governance, automation detection and remediation, management and orchestration of devices and environments, etc.<br /> 36:47 - What is the timeline for the industry to substantially migrate security apps to NPU?<br /> 39:50 - Closing </p> <p> </p> <p> </p>
114 total episodes available
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