Let's Talk Shop

• Unlock Your AI Potential: NetApp's Features for Performance, Scalability, and Governance

  Welcome back to Let's Talk Shop! In this episode, we dive deep into the world of AI with Russell Fishman (Sr. Director of Solutions Product Management) at NetApp to explore the evolving storage landscape. Forget the GPU-centric hype – we uncover the critical role of intelligent data infrastructure in the AI pipeline, from ingestion to inference. Russell shares how NetApp's long history in data management for analytics and HPC uniquely positions them to tackle AI's biggest challenges, especially around data readiness. We discuss NetApp's specific features that boost performance and scalability across on-premises and multicloud environments, and address the crucial topic of data governance and reducing vendor lock-in in the age of AI. Discover how NetApp is helping customers make their data AI-ready through innovative metadata management and integrations with MLOps tools, ultimately simplifying complex workflows for data scientists and engineers.► Bridging Customer Outcomes with AI► The Impact of Intelligent Data Infrastructure on the AI Pipeline► Beyond Training: The Growing Importance of AI Inference► NetApp's Role: Fueling the AI Engine with Data Management► Right Performance, Right Stage: NetApp's Feature Flexibility► Achieving Extreme Performance: NetApp's Standard-Based Approach with PNFS► NetApp's Evolution: From Analytics & Big Data to AI► Making Data Management Accessible for Data Scientists► Simplifying AI Workflows: Integration with MLOps Tools like Domino Data Lab► Addressing Vendor Lock-in: NetApp's Open Standards Commitment and Multi-Cloud Strategy► Getting Data AI-Ready: The Importance of Metadata► Leveraging Metadata for Retrieval Augmented Generation (RAG)► Data Governance, Traceability, and Security Across Multi-Cloud with ONTAPSign Up Now for my online course "The Cloud Strategy Master Class":► On my web site: https://lnkd.in/gcxcrX and use promo code LINKEDIN20 to receive a 20% discount.► On Udemy: https://www.udemy.com/course/cloud-strategy-master-class/PODCASTS: Listen wherever you get your podcasts:► Let's Talk Shop: http://letstalkshop.buzzsprout.com ► Reality Distortion Fields RDFs Podcast: https://youtu.be/88z1UiVaV00 Follow me:► TikTok: @ekhnaser► Instagram: @ekhnaser► Twitter: @ekhnaser► LinkedIn: https://www.linkedin.com/in/eliaskhnaser/► Website: www.eliaskhnaser.com

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• Gemini Unleashed: Google's Secret Weapon for On-Prem AI Dominance

  Prepare for a tech revolution! We dive deep into Google's groundbreaking move: bringing Gemini on-prem with Google Distributed Cloud (GDC). Hear firsthand about the incredible customer excitement and partner collaborations that are reshaping the AI landscape.🔥 Ever wondered how AI is truly transforming enterprise? We tackle the burning question: Is AI just hype, or is it the real deal? From optimizing performance and security to managing costs and bringing AI anywhere, we unpack Google's top 10 innovations.🚀 Key Highlights:► Gemini On-Prem: Discover how Google is delivering its cutting-edge Gemini models directly to your data center, solving critical sovereignty and latency challenges.► Real-World AI Use Cases: We explore tangible examples, from ServiceNow's AI-powered IT service management to financial services leveraging agent-based enterprise search.► Storage & Networking Breakthroughs: Learn about Google's game-changing storage innovations like Anywhere Cache and Rapid Storage, and how Cloud WAN is redefining enterprise networking.► McDonald's AI Transformation: See how GDC is powering the future of store operations at McDonald's locations worldwide.► The Future of AI Hardware: We discuss the critical role of hardware, including GPUs and TPUs, and how Google is managing these resources for optimal performance.► Google vs. The Competition: Find out what sets Google apart in the AI and cloud space, especially with their unique approach to on-prem AI and networking.► Cloud WAN & Premier Tier Networking: Discover how Google's backbone network is delivering unprecedented latency and cost savings.💥 We address the critical questions:► How are enterprises truly leveraging AI beyond the hype?► What are the practical applications of AI in various industries?► How does Google solve the challenges of bringing AI on prem?► How Google's networking solutions are changing the game.Join us as we explore the cutting edge of AI and cloud technology, and uncover the real-world impact of these innovations.🔔 Don’t forget to like, comment, and subscribe for more in-depth discussions on technology and innovation!Sign Up Now for my online course "The Cloud Strategy Master Class":► On my web site: https://lnkd.in/gcxcrX and use promo code LINKEDIN20 to receive a 20% discount.► On Udemy: https://www.udemy.com/course/cloud-strategy-master-class/PODCASTS: Listen wherever you get your podcasts:► Let's Talk Shop: http://letstalkshop.buzzsprout.com ► Reality Distortion Fields RDFs Podcast: https://youtu.be/88z1UiVaV00 Follow me:► TikTok: @ekhnaser► Instagram: @ekhnaser► Twitter: @ekhnaser► LinkedIn: https://www.linkedin.com/in/eliaskhnaser/► Website: www.eliaskhnaser.com

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• Mainframes, GenAI, and Hybrid Cloud: IBM’s Unique Approach

  In this episode of Let's Talk Shop, our guest is Rohit Badlaney, who leads Product Design, Industry Strategy, and Execution for IBM Cloud. Rohit shares deep insights into IBM’s role in shaping the future of AI and hybrid cloud technologies. We discussed many topics including:► IBM’s vision as a hybrid cloud and AI company.► How IBM differentiates itself from other hyperscalers by prioritizing enterprise trust, compliance, and security.► The importance of AI infrastructure and IBM’s innovations with NVIDIA, Intel, AMD, and proprietary AI chips.► Real-world applications of AI and generative AI (Gen AI) for enterprise customers.► The evolving role of IBM’s mainframe systems in a hybrid multi-cloud world.► Rohit also shares how IBM integrates its consulting, technology, and innovation arms to help clients optimize performance, security, and total cost of ownership. Whether you're an industry professional, a tech enthusiast, or simply curious about the future of cloud and AI, this video is packed with insights you won’t want to miss!🔔 Don’t forget to like, comment, and subscribe for more in-depth discussions on technology and innovation!Sign Up Now for my online course "The Cloud Strategy Master Class":► On my web site: https://lnkd.in/gcxcrX and use promo code LINKEDIN20 to receive a 20% discount.► On Udemy: https://www.udemy.com/course/cloud-strategy-master-class/PODCASTS: Listen wherever you get your podcasts:► Let's Talk Shop: http://letstalkshop.buzzsprout.com ► Reality Distortion Fields RDFs Podcast: https://youtu.be/88z1UiVaV00 Follow me:► TikTok: @ekhnaser► Instagram: @ekhnaser► Twitter: @ekhnaser► LinkedIn: https://www.linkedin.com/in/eliaskhnaser/► Website: www.eliaskhnaser.com

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• Title: AWS Re:Invent 2024 Keynote Debrief: Highlights, Critiques & Future Trends

  In this epoxide, Sanjeev Mohan and I comment and share thoughts on the AWS Re:Invent 2024 keynote.   We deliver an unfiltered take on the announcements, the storytelling, and the impact of innovations like Tranium 3, metadata advancements, Nova models, and Q Developer.🔍 Key Discussions Include:► The power (and pitfalls) of AWS's obsession with "speeds and feeds."► Why metadata and open standards are a game-changer for security and interoperability.► Sanjeev’s take on Bedrock’s new reasoning capabilities and the rise of AI agents.► The storytelling disconnect: Why smaller customer success stories could resonate better than Fortune 500 examples.► A candid chat on AWS’s competition, benchmarks, and strategic partnerships.► The future of personal AI agents and how they’ll revolutionize everyday tasks.📌 One Key Question: Are we ready for AI agents that handle more than just recommendations—agents that autonomously act on our behalf?👉 Don't miss our raw feedback, favorite announcements, and plenty of constructive criticism. Plus, discover why Q Developer might be the unsung hero of this year's keynote.💬 Share your thoughts in the comments and let us know: What was your favorite AWS announcement this year?🔔 Subscribe and hit the notification bell so you never miss an update!Sign Up Now for my online course "The Cloud Strategy Master Class":► On my web site: https://lnkd.in/gcxcrX and use promo code LINKEDIN20 to receive a 20% discount.► On Udemy: https://www.udemy.com/course/cloud-strategy-master-class/PODCASTS: Listen wherever you get your podcasts:► Let's Talk Shop: http://letstalkshop.buzzsprout.com ► Reality Distortion Fields RDFs Podcast: https://youtu.be/88z1UiVaV00 Follow me:► TikTok: @ekhnaser► Instagram: @ekhnaser► Twitter: @ekhnaser► LinkedIn: https://www.linkedin.com/in/eliaskhnaser/► Website: www.eliaskhnaser.com

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• Why Amazon Q Developer Could Be the Coolest Tool in Cloud Tech Yet

  In our continued coverage of AWS Re:Invent 2024, i had the pleasure of speaking to one of the coolest, smartest and most passionate AWS ambassador yet. Rory Richardson was electrifying. In this episode, we discuss Amazon Q Developer, a tool that promises to reshape not just how developers approach code, automation, and innovation, but also how ops teams and security teams and FInOps teams can benefit as well. Our guest, a long-time AWS insider with 12 years of experience, shares insights on why Q Developer might just be the coolest thing they've worked on—ever.🛠️ Some highlights:► The evolution of Q Developer from a simple IDE plugin to a comprehensive DevOps and operations powerhouse.► How Q Developer tackles the 35 hours of developer toil outside of writing fresh code—think modernization, automation, and transformation.► Natural language as the future of coding and the delicate balance between abstraction and precision.► Agents vs. Assistants: What’s the difference, and how do they empower developers?► The big picture of intent-based development—moving from "coding" to "orchestrating."Mainframe migrations, legacy tech, and the role of AI in tackling monolithic applications.💡 Plus:► The philosophy behind Q Developer’s integration with tools like GitLab for seamless pipeline management.► A candid discussion about AWS’s vision for democratizing innovation and creating tools for the next generation of builders.► Whether you're a seasoned developer, a tech enthusiast, or just curious about the future of software engineering, this episode is packed with insights, analogies (Jarvis fans, rejoice!), and real-world examples of how generative AI is transforming the industry.🔗 Tune in now and join the conversation on the future of coding, cloud, and beyond! Don't forget to like, share, and subscribe to help us reach 1.5M views! 🌟🔔 Subscribe and hit the notification bell so you never miss an update!Sign Up Now for my online course "The Cloud Strategy Master Class":► On my web site: https://lnkd.in/gcxcrX and use promo code LINKEDIN20 to receive a 20% discount.► On Udemy: https://www.udemy.com/course/cloud-strategy-master-class/PODCASTS: Listen wherever you get your podcasts:► Let's Talk Shop: http://letstalkshop.buzzsprout.com ► Reality Distortion Fields RDFs Podcast: https://youtu.be/88z1UiVaV00 Follow me:► TikTok: @ekhnaser► Instagram: @ekhnaser► Twitter: @ekhnaser► LinkedIn: https://www.linkedin.com/in/eliaskhnaser/► Website: www.eliaskhnaser.com

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  29:19

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