Podcasts about ai ml

“If responses aren't near real-time, the bot won't feel human.” — Ruchir Brahmbhatt, Co-Founder & CTO, Ecosmob Ruchir Brahmbhatt, Co-Founder and CTO of Ecosmob, joined Doug Green, Publisher of Technology Reseller News, to discuss the engineering behind human-like voicebots—where milliseconds make the difference between a smooth conversation and a frustrating one. With more than 18 years in VoIP and AI/ML development, Ecosmob builds custom voicebots for MSPs, ITSPs, and UCaaS/CCaaS providers seeking real-time automation and compliance. Brahmbhatt outlined how Ecosmob's architecture achieves sub-second latency through: Python async orchestration for thousands of concurrent sessions Redis in-memory queues for ultra-low-latency streaming NVIDIA Canary ASR and Kokoro TTS for fast, natural speech llama.cpp LLM engine with dynamic quantization for efficient processing In a live healthcare demo, Ecosmob's voicebot scheduled an appointment in natural, human-like dialogue—with total round-trip latency under 600 milliseconds. Brahmbhatt emphasized that modern contact centers are shifting from IVRs to AI-driven self-service, and that on-prem and GDPR-compliant deployments are increasingly essential. Learn more at ecosmob.com.

We love to hear from our listeners. Send us a message.Welcome to Episode 113 of Cell & Gene: The Podcast. Host Erin Harris is joined by Thorsten Gorba, Ph.D., VP Process Development at Aspen Neuroscience to explore how the company is advancing the field of cell therapy manufacturing. Aspen Neuroscience stands at the forefront of integrating machine vision and AI/ML to assess induced pluripotent stem cell (iPSC) colony quality by offering a transformative approach to move beyond the subjective nature of manual evaluation. Dr. Gorba discusses how these technologies bolster reproducibility and scalability and help reduce variability in starting materials. He also covers the regulatory angle, including how the FDA is evaluating digital quality control tools. Subscribe to the podcast!Apple | Spotify | YouTube Visit my website: Cell & Gene Connect with me on LinkedIn

In this episode of From the Crows' Nest, host Ken Miller unpacks one of the key challenges with using  artificial intelligence and machine learning (AI/ML) in combat: How can human agents trust AI in a live, complex military operation?Jeff Druce, Senior Scientist, Human-Centered AI at  Charles River Analytics, is at the heart of trying to answer this question. Jeff says that neural networks are inherently opaque; a system can perform millions of computations in seconds with a user being in the dark of how a system arrived at a certain recommendation or action. He tells Ken that their RELAX (Reinforcement Learning with Adaptive Explainability) research effort aims to add ways that AI systems can explain their decision making to human operators. Jeff says that efforts to improve transparency and trust in these AI tools are key, arguing bottlenecks for AI use soon may not be from the technology plateauing but operators being unprepared and ill-equipped to effectively use this technology.To learn more about today's topics or to stay updated on EMSO and EW developments, visit our homepage.

Dana Love, founder of PoobahAI (exited 5 companies, PhD in economics), breaks down why Web3 lags mainstream adoption and how AI-built software can unlock the space: “the future of Web3 is coding without coders.” We cover: the zero→one grind, macro shifts (globalization → nationalization), inflation realities, and why blockchains need to drop the barrier to projects, devs, and users. Dana shares Poobah's approach—virtual co-founder, multi-chain no/low-code, pre-audited on-chain digital objects, and real showcases (NFT ticketing, RWA real estate, car auction). We also talk go-to-market (students & exec MBAs), chain partnerships, and their seed round.Timestamps[00:00] Dana's thesis: coding without coders is Web3's future[00:01] Background: exits, policy PhD, AI/ML → crypto since 2011[00:02] Patterns from 5+ exits: first $1 of revenue + investment; hearing “your baby is ugly”[00:04] Macro: globalization → nationalization; inflation dynamics & wages[00:07] Startup stages: 0→1 vs 1→10 vs 10→50—don't over-process the first customer[00:08] Why Web3 adoption lags: tooling, UX, paucity of devs/projects/users[00:10] Public vs private chains; why transparency is a feature for upstarts[00:11] Naming Poobah & the “many hats” founder[00:12] Poobah overview: virtual co-founder, on-chain generation, digital objects (pre-audited contracts)[00:15] Code quality: making no-code generate good code; best-practice RAG/context[00:17] Focus: Web3 first—massive untapped value[00:18] GTM: students, MBAs, exec MBAs → enterprise wedge[00:19] Case: Princeton CS student ships NFT ticketing as a vibe-coder[00:20] B2B: chain licenses to drop coding barrier to near-zero[00:22] The “hackathon circus” & why broadening the builder base matters[00:23] Non-dev creators as founders: fine-arts → sticky NFTs[00:24] The Shopify moment for Web3 (payments/regulatory context)[00:27] RWAs: real estate fractionalization; car auctions; built in weeks[00:30] Will AI replace devs? Senior vs junior leverage; law firm analogy[00:36] Market will rebalance skills & pay; seniors x AI = force multiplier[00:37] Roadmap (6–12 mo): low-code launch → no-code, multi-chain MCP, virtual co-founder[00:38] The ask: chain partnerships, seed syndication, universities & exec MBAsConnecthttps://poobah.ai/https://www.linkedin.com/company/poobahai/https://www.linkedin.com/in/danalove/https://x.com/DanaFLoveDisclaimerNothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.Be a guest on the podcast or contact us - https://www.web3pod.xyz/

Send us a textLeadership Development | Executive Career Track | Career Pivot | AWS | In this Femme Lead episode, Melanie McGrory, Director of the EMEA Tech team at Amazon Web Services, shares her unique career journey spanning cybersecurity, defense, and tech leadership. Known for her “zig-zag” career path, Melanie discusses pivotal moments of risk-taking, overcoming challenges in male-dominated industries, and the evolving nature of leadership in today's digital world.Melanie and her team at AWS support digital native companies and enterprises by enabling digital transformation, innovation, and new customer experiences. With expertise across 175+ AWS services, including AI/ML, migration, security, and hybrid cloud, Melanie is a recognized leader in driving business outcomes through technology.Before AWS, Melanie held leadership roles at HP and the UK Ministry of Defence, bringing two decades of experience in strategy, consulting, and general management across sectors such as travel, transport, logistics, and retail.A STEM advocate and veteran charity participant, Melanie holds a Bachelor's degree in Physics and Operational Research from the University of Cranfield. Tune in for career insights, leadership lessons, and practical advice for women forging paths in tech and beyond!Follow Melanie on LinkedIn: https://www.linkedin.com/in/melanie-mcgrory-4684757/

On-Device AI Agents in Production: Privacy, Performance, and Scale // MLOps Podcast #340 with NimbleEdge's Varun Khare, Founder/CEO and Neeraj Poddar, Co-founder & CTO.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractAI agents are transitioning from experimental stages to performing real work in production; however, they have largely been limited to backend task automation. A critical frontier in this evolution is the on-device AI agent, enabling sophisticated, AI-native experiences directly on mobile and embedded devices. While cloud-based AI faces challenges like constant connectivity demands, increased latency, privacy risks, and high operational costs, on-device breaks through these trade-offs.We'll delve into the practical side of building and deploying AI agents with “DeliteAI”, an open-source on-device AI agentic framework. We'll explore how lightweight Python runtimes facilitate the seamless orchestration of end-to-end workflows directly on devices, allowing AI/ML teams to define data preprocessing, feature computation, model execution, and post-processing logic independently of frontend code. This architecture empowers agents to adapt to varying tasks and user contexts through an ecosystem of tools natively supported on Android/iOS platforms, handling all the permissions, model lifecycles, and many more.// BioVarun KhareVarun is the Founder and CEO of NimbleEdge, an AI startup pioneering privacy-first, on-device intelligence. With an academic foundation in AI and neuroscience from UC Berkeley, MPI Frankfurt, and IIT Kanpur, Varun brings deep expertise at the intersection of technology and science. Before founding NimbleEdge, Varun led open-source projects at OpenMined, focusing on privacy-aware AI, and published research in computer vision.Neeraj PoddarNeeraj Poddar is the Co-founder and CTO at NimbleEdge. Prior to NimbleEdge, he was the Co-founder of Aspen Mesh, VP of Engineering at Solo.io, and led the Istio open source community. He has worked on various aspects of AI, networking, security, and distributed systems over the span of his career. Neeraj focuses on the application of open source technologies across different industries in terms of scalability and security. When not working on AI, you can find him playing racquetball and gaining back the calories spent playing by trying out new restaurants. // Related LinksWebsite: https://www.nimbleedge.com/https://www.nimbleedge.com/blog/why-ai-is-not-working-for-youhttps://www.nimbleedge.com/blog/state-of-on-device-aihttps://www.youtube.com/watch?v=Qqj_Nl2MihEhttps://www.linkedin.com/events/7343237917982527488/comments/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Varun on LinkedIn: /vkkhare/Connect with Neeraj on LinkedIn: /nrjpoddar/Timestamps:[00:00] On-device AI skepticism[02:47] Word suggestion for AI[06:40] Optimizing unique challenges[13:39] LLM on-device challenges[20:34] Agent overlord tension[23:56] AI app constraints[29:23] Siri limitations and trust gap[32:01] Voice-driven app privacy[35:49] Platform lock-in vs aggregation[42:26] On-device AI optimizations[45:38] Wrap up

In Episode 124 of Entangled Things, Patrick is joined by Vijoy Pandey, Senior Vice President of Outshift by Cisco. Together, they explore the future of quantum networking, the power of entanglement, and how these breakthroughs will shape the next generation of technology. Vijoy also shares an exciting announcement: the launch of Cisco's Quantum Software Stack.Want to dive deeper? Don't miss the Cisco Quantum Summit, happening September 30 and October 1: https://research.cisco.com/quantum-summit.Vijoy Pandey is GM and Senior Vice President of Outshift by Cisco, leading the company's internal incubation engine that delivers what's next and new for Cisco. Outshift focuses on emerging technologies that target adjacent markets and personas, with current initiatives spanning AI-enabled infrastructure, quantum networking, and next-generation infrastructure solutions.Outshift operates as a series of startup-like teams inside Cisco, rapidly validating which emerging technologies can become meaningful businesses for the company's future. Under Vijoy's leadership, these teams work across three key layers: agentic AI, next-gen infrastructure, quantum networking, and more. This model allows Outshift to move quickly and test multiple opportunities simultaneously while leveraging Cisco's enterprise strengths and established processes.Vijoy oversees a broader strategic scope that includes several critical Cisco-wide initiatives. He also leads Cisco Research, driving foundational research across quantum networking, security, observability, and emerging technologies. He directs Cisco's Open Source initiatives and the Developer Network (DevNet), which leads API consistency and programmability across Cisco's portfolio while pioneering AI-native infrastructure tools. Additionally, he co-chairs Cisco's Responsible AI committee.Vijoy holds a Ph.D. in Computer Science from the University of California, Davis, and is an inventor on over 80 patents in cloud computing, AI/ML, and distributed systems. Through his leadership of Outshift, Vijoy continues to guide Cisco's exploration of emerging technologies, ensuring the company can move quickly to capture opportunities in new markets before they fully mature.

Welcome to the CanadianSME Small Business Podcast, hosted by Kripa Anand. In this episode, we explore how Canadian businesses can unlock the full potential of their data through analytics, AI, and smart data strategies.Joining us is Shanawaz Janmohamed, Analytics Director at Function Group Analytics, who brings extensive experience helping organizations centralize data, build analytics maturity, and harness AI/ML for smarter decision-making. Shanawaz shares how businesses can turn raw data into actionable insights and build scalable ecosystems for the future.Key Highlights:1. Data Centralization: Why a single source of truth is critical for accuracy and efficiency.2. Analytics Maturity: Key stages of growth and pitfalls SMEs should avoid.3. Advanced Analytics & AI: How AI/ML transform raw data into smarter, faster decisions.4. Self-Serve Analytics: The role of automated reporting and visualization in empowering teams.5. Future of Analytics: Building secure, scalable ecosystems to stay ahead of AI-driven trends.Special Thanks to Our Partners:RBC: https://www.rbcroyalbank.com/dms/business/accounts/beyond-banking/index.htmlUPS: https://solutions.ups.com/ca-beunstoppable.html?WT.mc_id=BUSMEWAGoogle: https://www.google.ca/A1 Global College: https://a1globalcollege.ca/ADP Canada: https://www.adp.ca/en.aspxFor more expert insights, visit www.canadiansme.ca and subscribe to the CanadianSME Small Business Magazine. Stay innovative, stay informed, and thrive in the digital age!Disclaimer: The information shared in this podcast is for general informational purposes only and should not be considered as direct financial or business advice. Always consult with a qualified professional for advice specific to your situation.

Cisco's Distance Zero rethinks hybrid collaboration with meeting equity, AI at the edge, and cinematic framing that keeps every participant “at eye height”—plus live 3D object discussion with Apple Vision Pro. SVP/GM Snorre Kjesbu explains how Cisco defines “Distance Zero”: everyone gets a true seat at the table—being seen, heard, and included in the room dynamics, whether they're remote or on-site. Subtle but powerful touches—like equalizing participant size and eye level—remove hierarchy cues and improve equity. He frames where hybrid work stands now: bring people together for creativity, mentoring, culture, and serendipity (yes, the coffee line matters), and let focused grind work happen anywhere. For offices to “earn the commute,” rooms must outperform home setups—for those in the room and those remote. Technically, this is enabled by a decade of AI/ML at the edge (a long-running partnership with Nvidia), now combined with newer large-language-model capabilities. Cisco's “cinematic” system behaves like an AI producer—understanding who's speaking and how a conversation moves—while noise suppression can differentiate lawnmowers, dogs, and even prioritize a specific speaker's voice. On accessibility, live translation, captions, and annotation lower barriers for varied accents and learning needs. IT and facilities teams also get AI “superpowers” for reliability and scale since collaboration is now mission-critical. Kjesbu notes that these capabilities are largely available on existing deployments (backward compatible where possible, with cloud assist), and adoption is strong: features like cinematic framing are on in 100% of meetings where available, and LLM-powered summaries, actions, and translation are surging. If this helped clarify the future of hybrid collaboration, like the video, leave a comment with your biggest meeting-equity challenge, and subscribe for more deep dives on accessible, human-centered workplace tech. Cisco Distance Zero, meeting equity, hybrid collaboration, AI at the edge, cinematic framing, Webex meetings, Apple Vision Pro 3D, Nvidia partnership, live translation, captions and annotation, noise suppression, remote work, earn the commute, inclusive meetings, IT manageability, voice optimization, backward compatibility, employee experience, collaboration devices Learn more about your ad choices. Visit megaphone.fm/adchoices

AI is no longer a buzzword—it's transforming the way we defend against cyber threats. In this InfosecTrain session, we explore the practical implementation of AI in cybersecurity, covering how organizations can leverage AI-powered tools and workflows for smarter, faster, and more effective defense strategies.

In this episode of the podcast, members of the InfoQ editorial staff and friends of InfoQ discuss the current trends in the domain of AI, ML and Data Engineering. One of the regular features of InfoQ are the trends reports, which each focus on a different aspect of software development. These reports provide the InfoQ readers and listeners with a high-level overview of the topics to pay attention to this year. InfoQ AI, ML and Data Engineering editorial team met with external guests to discuss the trends in AI and ML areas, and what to watch out for the next 12 months. In addition to the written report and trends graph, this podcast provides a recording of a discussion where expert panelists discuss how innovative AI technologies are disrupting the industry. Read a transcript of this interview: http://bit.ly/4nRpvlF Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter Upcoming Events: InfoQ Dev Summit Munich (October 15-16, 2025) Essential insights on critical software development priorities. https://devsummit.infoq.com/conference/munich2025 QCon San Francisco 2025 (November 17-21, 2025) Get practical inspiration and best practices on emerging software trends directly from senior software developers at early adopter companies. https://qconsf.com/ QCon AI New York 2025 (December 16-17, 2025) https://ai.qconferences.com/ QCon London 2026 (March 16-19, 2026) https://qconlondon.com/ The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - X: https://x.com/InfoQ?from=@ - LinkedIn: https://www.linkedin.com/company/infoq/ - Facebook: https://www.facebook.com/InfoQdotcom# - Instagram: https://www.instagram.com/infoqdotcom/?hl=en - Youtube: https://www.youtube.com/infoq - Bluesky: https://bsky.app/profile/infoq.com Write for InfoQ: Learn and share the changes and innovations in professional software development. - Join a community of experts. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

Jimmy Secretan, CTO of JustWin, explores the latest innovations in privacy-preserving neural networks, and explains how JustWin is leveraging AI to help small businesses win government contracts. He also explores the future directions of AI, and the impact of AI on user autonomy and privacy. Key Takeaways: Technological advancements shaping the future of secure and ethical AI applications The significance of open-endedness in AI How to build while balancing both innovation and privacy Why AI solutions are a good fit for winning RFPs GPT-5 and predictions for its future impact Guest Bio: Jimmy Secretan, CTO of JustWin, holds a Ph.D. from the Machine Learning Lab at the University of Central Florida, where he specialized in large-scale, privacy-safe neural networks. Having previously served as Chief Scientist at Korrelate, VP of Engineering of Sonobi, and CTO of Roadtrippers, Jimmy has architected privacy-safe AI/ML data pipelines, scaled infrastructure to hundreds of billions of requests per month to power predictive media planning, and led the creation of the AI-driven future of travel data. As VP of Ads and Premium Services at Brave, Jimmy helped launch Brave's global private ad network; led the development of premium functionality for the Brave browser; and managed initiatives like Brave News and Brave Talk. ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin Produced by: Sam Laliberte  

AI isn't just about writing emails faster; it's about capturing and scaling the expert knowledge that actually wins deals.  In this conversation, Vivun's Chief AI Officer Joseph Miller explains why most “just add a chatbot” projects stall, and how building a real-world model of your business (your terms, processes, and judgments) unlocks meaningful results. He breaks down the difference between low-stakes productivity and high-stakes outcomes—and what it takes to get from New York to San Francisco, not just Newark. You'll hear practical guidance for marketers, sales leaders, and operators: how to codify tribal knowledge, ground AI in your company's definitions, and design iterative experiments that deliver time-to-value. If you're tired of hype and want an honest blueprint for using AI to empower teams—not replace their judgment—this episode is for you. Leader Generation is hosted by Tessa Burg and brought to you by Mod Op.  About Joseph Miller: As the Chief AI Officer and co-founder of Vivun, Joseph Miller, PhD, leverages his expertise in AI/ML and causal inference to build complex agentic systems. He is nationally recognized for his work in AI labor disruption and algorithmic strategies, and has appeared on platforms such as Bloomberg and Nasdaq. Joseph also guest lectures on AI, entrepreneurship and quantitative finance. About Tessa Burg: Tessa is the Chief Technology Officer at Mod Op and Host of the Leader Generation podcast. She has led both technology and marketing teams for 15+ years. Tessa initiated and now leads Mod Op's AI/ML Pilot Team, AI Council and Innovation Pipeline. She started her career in IT and development before following her love for data and strategy into digital marketing. Tessa has held roles on both the consulting and client sides of the business for domestic and international brands, including American Greetings, Amazon, Nestlé, Anlene, Moen and many more. Tessa can be reached on LinkedIn or at Tessa.Burg@ModOp.com.

As agencies continue their digital transformation, cloud adoption is essential for mission agility, security and efficiency. This episode dives into how agencies are tackling cloud migration, operational continuity and regulatory compliance while ensuring their systems remain resilient and cost-effective.  ThunderCat Technology's Cloud CTO Nic Perez, Deon James, AI Lead at Google Public Sector and Jeff Marshall, Director of Hosting and Compute at DISA discuss best practices for securing workloads, leveraging AI/ML for performance optimization and navigating federal procurement challenges.

How did a serial entrepreneur who built AI solutions for Toyota and Honda before ChatGPT existed become India's pioneering AI-first venture capitalist? In this episode, we explore Rahul Agarwalla's bold prediction of 100 AI unicorns emerging from India and his contrarian investment framework that's reshaping the startup ecosystem. Rahul Agarwalla, Managing Partner at SenseAI Ventures, brings a unique perspective to AI investing - having built and sold three AI/ML companies since 1996, including enterprise solutions used by Fortune 500 giants like Toyota, Honda, and Canon. As India's first AI-focused VC fund, SenseAI has deployed over ₹200 crores across 31 investments, achieving four successful exits while pioneering the shift from AI infrastructure to applications. In this candid conversation with host Akshay Datt, Rahul reveals his VDAT framework for evaluating AI startups, explains why most "AI wrappers" will fail, and shares controversial takes on outcome-based pricing, founder requirements, and market timing. With AI startups capturing 57.9% of global venture capital in 2025, Rahul's insights on building sustainable AI businesses, navigating the India-US corridor, and identifying the next wave of AI unicorns provide essential guidance for founders and investors riding the AI revolution. Key Highlights:

What if the biggest value of AI isn’t answers, but better questions? For Morgan Brown, Vice President of Product and Growth at Dropbox, that realisation has transformed everything from family dinners to global product strategy. In this episode, I chat with Morgan about how he uses AI as both a problem-solver and a sparring partner. Morgan leads Dropbox’s AI products, but he’s also built his own app from scratch - with no coding background - to help his six-year-old son manage type 1 diabetes. We dive into how Morgan uses AI to eliminate grunt work, create powerful prompts, and even stress test his own ideas. This conversation will show you practical ways to turn AI into a genuine partner for your work and life. We discuss: The story behind CARB Scan, the AI-powered app Morgan built to help his son manage diabetes How he uses AI to eliminate shallow work, like meeting recaps and email sorting Why designing prompts is a superpower—and Morgan’s framework for writing great ones The automation Morgan built to scan and summarise the entire AI/ML landscape every morning How to use AI as a true thought partner for brainstorming, strategy, and decision-making The risks of skipping human feedback and why real-world validation still matters Morgan’s advice for spotting your own hidden time sinks and turning them into AI experiments Key Quotes “LLMs aren’t the best search engine. They’re much better as a thought partner.” “The real leverage of AI isn’t the answers. It’s the better questions.” Connect with Morgan Brown on X (Twitter), LinkedIn, and his website https://www.morganbrown.co/ Check out Morgan’s book Hacking Growth. Get your hands on Morgan’s AI research prompt here. If you enjoyed this, listen to my episode with Bob Johansen - we talked about reframing AI as “augmented intelligence,” and it pairs beautifully with Morgan’s approach. My latest book The Health Habit is out now. You can order a copy here: https://www.amantha.com/the-health-habit/ Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha-imber.ck.page/subscribe Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: The Podcast Butler See omnystudio.com/listener for privacy information.

In this episode, Lois Houston and Nikita Abraham are joined by Principal Instructor Yunus Mohammed to explore Oracle's approach to enterprise AI. The conversation covers the essential components of the Oracle AI stack and how each part, from the foundational infrastructure to business-specific applications, can be leveraged to support AI-driven initiatives.   They also delve into Oracle's suite of AI services, including generative AI, language processing, and image recognition.     AI for You: https://mylearn.oracle.com/ou/course/ai-for-you/152601/   Oracle University Learning Community: https://education.oracle.com/ou-community   LinkedIn: https://www.linkedin.com/showcase/oracle-university/   X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode.   -------------------------------------------------------------   Episode Transcript:  00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:25 Lois: Welcome to the Oracle University Podcast! I'm Lois Houston, Director of Innovation Programs with Oracle University, and with me is Nikita Abraham, Team Lead: Editorial Services. Nikita: Hey everyone! In our last episode, we discussed why the decision to buy or build matters in the world of AI deployment. Lois: That's right, Niki. Today is all about the Oracle AI stack and how it empowers not just developers and data scientists, but everyday business users as well. Then we'll spend some time exploring Oracle AI services in detail.  01:00 Nikita: Yunus Mohammed, our Principal Instructor, is back with us today. Hi Yunus! Can you talk about the different layers in Oracle's end-to-end AI approach? Yunus: The first base layer is the foundation of AI infrastructure, the powerful compute and storage layer that enables scalable model training and inferences. Sitting above the infrastructure, we have got the data platform. This is where data is stored, cleaned, and managed. Without a reliable data foundation, AI simply can't perform. So base of AI is the data, and the reliable data gives more support to the AI to perform its job. Then, we have AI and ML services. These provide ready-to-use tools for building, training, and deploying custom machine learning models. Next, to the AI/ML services, we have got generative AI services. This is where Oracle enables advanced language models and agentic AI tools that can generate content, summarize documents, or assist users through chat interfaces. Then, we have the top layer, which is called as the applications, things like Fusion applications or industry specific solutions where AI is embedded directly into business workflows for recommendations, forecasting or customer support. Finally, Oracle integrates with a growing ecosystem of AI partners, allowing organizations to extend and enhance their AI capabilities even further. In short, Oracle doesn't just offer AI as a feature. It delivers it as a full stack capability from infrastructure to the layer of applications. 02:59 Nikita: Ok, I want to get into the core AI services offered by Oracle Cloud Infrastructure. But before we get into the finer details, broadly speaking, how do these services help businesses? Yunus: These services make AI accessible, secure, and scalable, enabling businesses to embed intelligence into workflows, improve efficiency, and reduce human effort in repetitive or data-heavy tasks. And the best part is, Oracle makes it easy to consume these through application interfaces, APIs, software development kits like SDKs, and integration with Fusion Applications. So, you can add AI where it matters without needing a data scientist team to do that work.  03:52 Lois: So, let's get down to it. The first core service is Oracle's Generative AI service. What can you tell us about it?  Yunus: This is a fully managed service that allows businesses to tap into the power of large language models. You can actually work with these models from scratch to a well-defined develop model. You can use these models for a wide range of use cases like summarizing text, generating content, answering questions, or building AI-powered chat interfaces.  04:27 Lois: So, what will I find on the OCI Generative AI Console? Yunus: OCI Generative AI Console highlights three key components. The first one is the dedicated AI cluster. These are GPU powered environments used to fine tune and host your own custom models. It gives you control and performance at scale. Then, the second point is the custom models. You can take a base language model and fine tune it using your own data, for example, company manuals or HR policies or customer interactions, which are your own personal data. You can use this to create a model that speaks your business language. And last but not the least, the endpoints. These are the interfaces through which your application connect to the model. Once deployed, your app can query the model securely and at different scales, and you don't need to be a developer to get started. Oracle offers a playground, which is a non-core environment where you can try out models, craft parameters, and test responses interactively. So overall, the generative AI service is designed to make enterprise-grade AI accessible and customizable. So, fitting directly into business processes, whether you are building a smart assistant or you're automating the content generation process.  06:00 Lois: The next key service is OCI Generative AI Agents. Can you tell us more about it?  Yunus: OCI Generative AI agents combines a natural language interface with generative AI models and enterprise data stores to answer questions and take actions. The agent remembers the context, uses previous interactions, and retrieves deeper product speech details. They aren't just static chat bots. They are context aware, grounded in business data, and able to handle multi-turns, follow-up queries with relevant accurate responses, and driving productivity and decision-making across departments like sales, support, or operations. 06:54 Oracle University's Race to Certification 2025 is your ticket to free training and certification in today's hottest tech. Whether you're starting with Artificial Intelligence, Oracle Cloud Infrastructure, Multicloud, or Oracle Data Platform, this challenge covers it all! Learn more about your chance to win prizes and see your name on the Leaderboard by visiting education.oracle.com/race-to-certification-2025. That's education.oracle.com/race-to-certification-2025. 07:37 Nikita: Welcome back! Yunus, let's move on to the OCI Language service.  Yunus: OCI Language helps business understand and process natural language at scale. It uses pretrained models, which means they are already trained on large industry data sets and are ready to be used right away without requiring AI expertise. It detects over 100 languages, including English, Japanese, Spanish, and more. This is great for global business that receive multilingual inputs from customers. It works with identity sentiments. For different aspects of the sentence, for example, in a review like, “The food was great, but the service sucked,” OCI Language can tell that food has a positive sentiment while service has a negative one. This is called aspect-based sentiment analysis, and it is more insightful than just labeling the entire text as positive or negative. Then we have got to identify key phrases representing important ideas or subjects. So, it helps in extracting these key phrases, words, or terms that capture the core messages. They help automate tagging, summarizing, or even routing of content like support tickets or emails.  In real life, the businesses are using this for customer feedback analysis, support ticket routing, social media monitoring, and even regulatory compliances.  09:21 Nikita: That's fantastic. And what about the OCI Speech service?  Yunus: The OCI Speech is an AI service that transcribes speech to text. Think of it as an AI-powered transcription engine that listens to the spoken English, whether in audio or video files, and turns it into usable and searchable and readable text. It provides timestamps, so you know exactly when something was said. A valuable feature for reviewing legal discussions, media footages, or compliance audits. OCI Speech even understands different speakers. You don't need to train this from scratch. It is pre-trained model hosted on an API. Just send your audio to the service, and you get an accurate timestamp text back in return. 10:17 Lois: I know we also have a service for object detection… called OCI Vision?  Yunus: OCI Vision uses pretrained, deep learning models to understand and analyze visual content. Just like a human might, you can upload an image or videos, and the AI can tell you what is in it and where they might be useful. There are two primary use cases, which you can use this particular OCI Vision for. One is for object detection. You have got a red color car. So OCI Vision is not just identifying that's a car. It is detecting and labeling parts of the car too, like the bumper, the wheels, the design components. This is a critical in industries like manufacturing, retail, or logistics. For example, in quality control, OCI Vision can scan product images to detect missing or defective parts automatically.  Then we have got the image classification. This is useful in scenarios like automated tagging of photos, managing digital assets, classifying this particular scene or context of this particular scene. So basically, when we talk about OCI Vision, which is actually a fully managed, no complex model training is required for this particular service. It's available via API. It is also working with defining their own custom model for working with the environments. 11:51 Nikita: And the final service is related to text and called OCI Document Understanding, right? Yunus: So OCI Document Understanding allows businesses to automatically extract structured insights from unstructured documents like invoices, contracts, recipes, and also sometimes resumes, or even business documents. 12:13 Nikita: And how does it work? Yunus: OCI reads the content from the scanned document. The OCR is smarter. It recognizes both printed and handwritten text. Then determines what type of document it is. So document classification is done. Text recognition recognizes text, then classifies the document. For example, if this is a purchase order, or bank statement, or any medical report. If your business handles documents in multiple languages, then the AI can actually help in language detection also, which helps you in routing the language or translating that particular language. Many documents contain structured data in table format. Think pricing tables or line items. OCI will help you in extracting these with high accuracy for reporting on feeding into ERP systems. And finally, I would say the key value extraction. It puts our critical business values like invoice numbers, payment amounts, or customer names from fields that may not always allow a fixed format. So, this service reduces the need for manual review, cuts down processes time, and ensures high accuracy for your system. 13:36 Lois: What are the key takeaways our listeners should walk away with after this episode? Yunus: The first one, Oracle doesn't treat AI as just a standalone tool. Instead, AI is integrated from the ground up. Whether you're talking about infrastructure, data platforms, machine learning services, or applications like HCM, ERP, or CX. In real world, the Oracle AI Services prioritize data management, security, and governance, all essential for enterprise AI use cases. So, it is about trust. Can your AI handle sensitive data? Can it comply with regulations? Oracle builds its AI services with strong foundation in data governance, robust security measures, and tight control over data residency and access. So this makes Oracle AI especially well-suited for industries like health care, finance, logistics, and government, where compliance and control aren't optional. They are critical.   14:44 Nikita: Thank you for another great conversation, Yunus. If you're interested in learning more about the topics we discussed today, head on over to mylearn.oracle.com and search for the AI for You course.  Lois: In our next episode, we'll get into Predictive AI, Generative AI, Agentic AI, all with respect to Oracle Fusion Applications. Until then, this is Lois Houston… Nikita: And Nikita Abraham, signing off! 15:10 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.  

David A. Noever and Forrest McKee are researchers at PeopleTec, where they work on problems at the intersection of security, defense, and AI/ML. Today David joined us to present their joint work Infecting Generative AI with Viruses. This was a really great presentation that took a rigorous approach to defining the security boundaries and limitations of AI tools, and it fostered one of the better discussions we've hosted in a while. We hope you enjoy it as much as we did!

This episode dives into "Category-Theoretic Analysis of Inter-Agent Communication and Mutual Understanding Metric in Recursive Consciousness." The paper presents an extension of the Recursive Consciousness framework to analyze communication between agents and the inevitable loss of meaning in translation. We're thrilled to feature the paper's author, Stan Miasnikov, Distinguished Engineer, AI/ML Architecture, Consumer Experience at Verizon, to walk us through the research and its implications.Learn more about AI observability and evaluation, join the Arize AI Slack community or get the latest on LinkedIn and X.

Episode 815: Insurance companies rely on data to optimize performance, mitigate risk, and meet the rising expectations of consumers… but new questions are being raised about what happens when there's a lack of data or missing data?   On today's Unscripted… Neil Alldredge, president and CEO of NAMIC, sits down with Lindsey Klarkowski, policy vice president of data science, AI/ML, and cybersecurity at NAMIC, to better understand how insurers are tackling this emerging issue. Today's episode is sponsored by Holborn.

Medboard   EUROPE Guidance on the implementation of the Master UDI-DI - MDCG 2024-14 - rev.1 : https://health.ec.europa.eu/document/download/c8c6cca5-460e-410e-a325-be08bfc7dea6_en?filename=mdcg_2024-14_en.pdf Updated - Notified bodies survey on certificates under MDR and IVDR: https://health.ec.europa.eu/document/download/59b9d90e-be42-4895-9f6f-bec35138bb0a_en?filename=md_nb_survey_certifications_applications_en.pdf There's a significant backlog: far more applications submitted than certificates issued, especially for IVDs. Time for certification: between 13 to 18 months on average Delay due to application missing critical information and refusal due to submission outside NB scope No transparency on capacity Germany new radiation protection regulation - Start July 1st, 2025: https://www.bfarm.de/DE/Arzneimittel/Klinische-Pruefung/Strahlenschutz/_artikel.html?nn=986770If device emit radiation and need clinical investigation in germany: Include a radiation risk assessment in your clinical investigation dossier Coordinate with Radiation protection authorities Update investigator brochure and patient information Stricter Monitoring & Reporting Impact on Timelines So stricter documentation, more authorities involved and longer approval times   UK MHRA launches Route B notification pilot Clinical trials regulations rollout: https://www.gov.uk/government/news/mhra-launches-route-b-notification-pilot-as-part-of-clinical-trials-regulations-rollout  -  https://www.gov.uk/guidance/notify-mhra-about-a-clinical-investigation-for-a-medical-device   Switzerland New in Swissdamed - Medical Device registration with UDI Device Module: https://www.swissmedic.ch/swissmedic/en/home/medical-devices/medizinprodukte-datenbank/swissdamed-informationen/registrierung-mepprodukte-moeglich.html 1 july-2026   Magazine Easy Medical Device Mag - Your QA RA Magazine: https://mailchi.mp/easymedicaldevice/emdmag1   Podcast: Best 40 Medical Device Podcast - Thanks: https://www.millionpodcasts.com/Medical-Device-podcasts/   REST OF THE WORLD SaMD and/or Artificial Intelligence on the spotlight - All countries want their regulation on it:  USA: PCCP - https://www.fda.gov/regulatory-information/search-fda-guidance-documents/marketing-submission-recommendations-predetermined-change-control-plan-artificial-intelligence SFDA: Workshop September 9th: https://www.sfda.gov.sa/en/workshop/4387139 TGA: Understanding regulation of software-based medical devices: https://www.tga.gov.au/resources/guidance/understanding-regulation-software-based-medical-devices#samd-and-ai-medical-device-compliance SAHPRA: Regulatory Requirements of AI/ML: https://www.sahpra.org.za/document/regulatory-requirements-of-artificial-intelligence-and-machine-learning-ai-ml-enabled-medical-devices/ Medical Device or Wellness device - Choose your side: https://www.sfda.gov.sa/sites/default/files/2025-08/MDS-G027.pdf  

There are very few people like Stephen Brobst, a legendary tech CTO and "certified data geek," Stephen shares his incredible journey, from his early days in computational physics and building real-time trading systems on Wall Street to becoming the CTO for Teradata and now Ab Initio Software. Stephen provides a masterclass on the evolution of data architecture, tracing the macro trends from early decision support systems to "active data warehousing" and the rise of AI/ML (formerly known as data mining). He dives deep into why metadata-driven architecture is critical for the future and how AI, large language models, and real-time sensor technology will fundamentally reshape industries and eliminate the dashboard as we know it. We also chat about something way cooler, as Stephen discusses his three passions: travel, music, and teaching. He reveals his personal rule of never staying in the same city for more than five consecutive days since 1993 and how he manages a life of constant motion. From his early days DJing punk rock and seeing the Sex Pistols' last concert to his minimalist travel philosophy and ever-growing bucket list, Stephen offers a unique perspective on living a life rich with experience over material possessions. Finally, he offers invaluable advice for the next generation on navigating careers in an AI-driven world and living life to the fullest.

As India charts its trajectory to build in-house AI/ ML capabilities, data centres emerge, quite literally, as central to the ecosystem-building exercise. What role must industry play to bring capabilities home? How do challenges pertaining to power transmission and renewability affect data centre operations?Tune into this episode of 'All Things Policy', wherein Anushka Saxena quizzes Anwesha Sen on the nitty-gritty of India's AI Data Centre ecosystem, to know.Do not forget to participate in Takshashila's 2025 China Challenge Survey, which is your way to have a say in defining India's perception of Beijing. Link: bit.ly/ChinaSurvey2025.All Things Policy is a daily podcast on public policy brought to you by the Takshashila Institution, Bengaluru.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Find out more on our research and other work here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://takshashila.org.in/research-areas⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Check out our public policy courses here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://school.takshashila.org.in⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Healthcare payments consume between $650 billion and $1 trillion annually in billing and insurance-related costs—an amount comparable to the entire U.S. Defense Department budget. At the heart of this staggering inefficiency lies a fundamental problem: when patients receive care, nobody actually knows in real-time whether the insurance will pay for it. Mike Desjadon, CEO of Anomaly, spent nearly two decades in healthcare payments before building a company to solve this core issue. In this episode, we explore how Anomaly is creating "payment assurance" for healthcare—bringing the same real-time payment certainty that exists everywhere else in commerce to an industry desperately in need of it. Topics Discussed: The massive scale of healthcare billing costs and why precision is impossible at this scale How the complex coding system (ICD, CPT, revenue codes) creates a "ridiculous Rubik's Cube" of payment determination Why healthcare lacks payment assurance while every other industry has real-time payment certainty The fundamental information asymmetry between providers and insurers that drives administrative waste Anomaly's approach to using AI and machine learning to predict payment outcomes early in the care process The strategic decision to focus exclusively on providers rather than serving both sides of the market   GTM Lessons For B2B Founders: Avoid "Annual Curiosity Revenue" in favor of deep customer relationships: Mike warns against chasing what he calls "ACR" - contracts driven by curiosity about new technology rather than real value. Instead of racing to accumulate surface-level customers, Anomaly focuses on 1-5 anchor customers where they forward-deploy engineers and dedicate leadership attention. As Mike explained, "I'd rather take a much smaller amount of those trusted pitches... find me 10 of the right conversations, don't find me a hundred surface level conversations." In healthcare's 14-month sales cycles, shallow relationships burn runway without building sustainable growth. Match your go-to-market strategy to industry realities, not investor expectations: Healthcare's long sales cycles and conservative nature require a fundamentally different approach than traditional SaaS growth models. Mike structured Anomaly's capital and hiring strategy around 14-month sales cycles rather than trying to compress them. "If you know that it's a 14 month sales cycle... being realistic about those timeframes and those capital structures, you just make sure your plan on burn matches your plan on strategy." This meant hiring customer success and engineering talent before traditional sales roles, aligning team composition with the actual customer adoption process. Segment ruthlessly based on transformation readiness: Not every healthcare organization is ready for transformative technology. Mike emphasizes the critical need to identify whether prospects are "looking for transformation" versus "looking to automate an isolated process." He shares that distinguishing between these segments determines the entire sales approach. Organizations seeking transformation are willing to work through implementation complexity for substantial outcomes, while those seeking automation want predictable, incremental improvements. Misreading this distinction leads to failed sales cycles and misaligned product development. Use forward-deployed engineering as a competitive advantage: Rather than traditional customer success managers, Anomaly deploys engineers directly to customers during implementation. This approach proves particularly valuable in AI/ML applications where the technology is rapidly evolving and customer needs aren't fully defined. Mike notes, "Having engineers in that has been hugely valuable for us because we're able to really quickly deliver value, very quickly deliver outsized value." This strategy enables rapid iteration, builds deeper technical trust, and often leads to expanded contracts through demonstrated capability rather than traditional sales pitches. Build category credibility through case studies, not connections: In healthcare, having impressive investors or warm introductions matters far less than demonstrating proven results with known organizations. Mike emphasizes, "What you need in healthcare is slapping six case studies down the desk... show me the six organizations that I know that you work with that are going to tell me I should work with you." This insight drives Anomaly's entire early-stage strategy—prioritizing customer success and measurable outcomes over rapid customer acquisition, building the credibility foundation needed for future sales acceleration.     //   Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.  www.GlobalTalent.co   //   Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM 

Guests are Clayton Coleman and Rob Shaw. Clayton is a Core contributor to Kubernetes, the containerized cluster manager, and founding architect for OpenShift, the open source platform as a service. Clayton helped launch the shift to cloud native applications and the platforms that enable them. At Google my mission is to make Kubernetes and GKE the best place to run workloads, especially accelerated AI/ML workloads, and especially especially very large model inference at scale with the inference gateway and llm-d. Rob Shaw is an Engineering Director at Redhat and is a contributor to the vLLM project.   Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod - bluesky: @kubernetespodcast.com   News of the week Kubernetes 1.34 is expected to release end of August Kubecrash.io: A platform Eng conference with a purpose CNCF top 30 project of 2025 Links from the interview LLM-D KubeCon EU 25 Keynote: LLM-Aware Load Balancing in Kubernetes WG Serving vLLM Disaggregated Prefilling LWS: LeaderWorkerSet

Haseeb Budhani (@haseebbudhani, CEO @rafaysystemsinc) discusses the evolution from traditional DevOps to platform engineering and what "Enterprise Ready" Kubernetes looks like in 2025. We explore AI workloads running on Kubernetes and how modern orchestration solutions can transform teams from bottlenecks into enablers. We also cover the security considerations for GPU-enabled AI workloads and balancing developer self-service capabilities with proper governance and control.SHOW: 950SHOW TRANSCRIPT: The Cloudcast #950 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"SPONSORS:[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.SHOW NOTES:Rafay websiteTopic 1 - Welcome to the show, Haseeb. Give everyone a quick introduction.Topic 2 - Let's start by talking about the evolution of Kubernetes as a platform. You've said and we've talked about on this show for some time how Kubernetes is more of a platform to run platforms. We've also seen trends in the industry and shifts in what it means to be DevOps or Platform Engineering in recent years. You've positioned Rafay as a Kubernetes Operations Platform that's now evolved into a Cloud Automation Platform. How do you define the difference between Kubernetes management and true platform engineering?Topic 3 - What does “Enterprise Ready” Kubernetes look like in 2025?Topic 4 - Let's flip over to AI/ML and GPUs with Kubernetes for a bit. Many developers and data scientists aren't aware of the underlying platform they run on. I saw a stat recently that about 95% of AI runs on Kubernetes, either on-prem or in the cloud. Despite this, Platform teams are often stuck doing manual GPU provisioning, which doesn't scale with AI adoption. How do modern GPU orchestration solutions change the platform team's role?Topic 5 - With GPU workloads often handling sensitive data and AI models, security becomes even more critical. How should organizations approach security and compliance in their GPU-enabled Kubernetes operations?Topic 6 - "Most developers don't want to write YAML or manage clusters — they just want to ship software." How do you balance giving developers the self-service capabilities they want while maintaining the control and governance that platform teams need?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Three months after taking heat over an error-riddled first report, Health Secretary Robert F. Kennedy's Make America Healthy Again Commission was due to submit a new strategy report to President Donald Trump last week. While the report is delayed—for disputed reasons— Politico obtained a draft copy, which homes in on creating a new vaccine framework and streamlining access to investigational drugs, specifically for children. The new strategy also touches on pharma lobbying, with plans to address alleged conflicts of interest within HHS—which, incidentally, a new JAMA study found have dropped dramatically over the past 25 years. In other HHS news, Kennedy is reviving the Task Force on Safer Childhood Vaccines—which has been dormant for 30 years, and the secretary voiced his support of mRNA vaccines for cancer.   Meanwhile, weight loss continues to coral the headlines. Viking Therapeutics reported greater than 12% weight loss after 13 weeks for its obesity pill VK2735, but tolerability tanked the biotech's stock. As Viking, Eli Lilly and Novo Nordisk begin to report data from these oral options, manufacturing comes into focus, and Novo's pending approval of an oral form of Wegovy specifically puts the spotlight on the variability of high-dose peptides.  Speaking of Novo, the Danish pharma appears to be sucking in some oxygen after a difficult run. Last week, the FDA approved Wegovy as just the second drug for metabolic dysfunction-associated steatohepatitis (MASH), and on Monday, Novo teamed up with GoodRx to offer Wegovy and Ozempic and $499 per month if patients skip insurance. Not to be outdone, fellow weight loss warrior Lilly announced a $1.3 billion partnership with AI/ML startup Superluminal Medicines to advance new small molecules for cardiometabolic diseases and obesity. Lilly has also been active on the policy front, saying that it will soon announce higher prices for its drugs in markets like Europe in an effort to “align prices across developed countries.”  Always a contentious topic, pricing plays a key role in why the pharmaceutical industry fails to command the same respect as steelworkers or other all-American pursuits. Also in BioPharm Executive this week, BioSpace takes a deep dive into how the Trump administration is using Most Favored Nation pricing to target pharma companies and pursue a broader trade war.  

Good morning from Pharma and Biotech Daily: the podcast that gives you only what's important to hear in Pharma and Biotech world.Eli Lilly has invested $1.3 billion in a partnership with Superluminal, an AI/ML startup focusing on endocrine and cardiometabolic diseases to develop new small molecule obesity medications. Schrodinger has discontinued the development of an early-stage blood cancer drug after two patient deaths. Trump has delayed pharma tariffs citing other priorities. RFK Jr. has been criticized for canceling Barda contracts related to mRNA vaccine research, leading to more vaccine misinformation. Genscript announces a new era of innovation and trust. Other news includes Vedanta downsizing, Abata shutting down.

August 12, 2025 | Diagonal Therapeutics founder and CEO Alexey Lugovskoy discusses the key lessons learned over his illustrious career, starting from his childhood in the Soviet Union to founding his own company, Diagonal Therapeutics. With host Tariq Ghayur, Lugovskoy shares insights gained from working with organizations of different sizes, taking on the obstacles of building a pipeline, and integrating AI/ML into discovery programs, as well as his most memorable achievement—and most memorable failure. He also offers advice to young scientists and entrepreneurs, emphasizing the importance of challenging problems and surrounding yourself with the right people. 

This week on DisrupTV, we interviewed: - Sanjib Sahoo, President, Global Platform Group at Ingram Micro - Tim Christophersen, Vice President, Climate Action at Salesforce, Author of Generation Restoration, & Board Member Ingram Micro is betting big on AI to power its next chapter. Sanjib revealed that the company's X Vantage platform weaves AI into every stage of the business, slashing operating costs and speeding up go-to-market strategies. With 400 AI/ML models trained on 4 petabytes of data, the shift is already driving major revenue gains. On a different front, Tim called for a generational reset in our relationship with nature, pointing to AI's potential to boost ecological literacy and accelerate large-scale restoration. DisrupTV is a weekly podcast with hosts R "Ray" Wang and Vala Afshar. The show airs live at 11 AM PT/ 2 PM ET every Friday. Brought to you by Constellation Executive Network: constellationr.com/CEN.

This episode is a crossover with our friends at the SRE Prodcast. Kaslin joined Ben Good and Steve McGhee to talk about Kubernetes for Platform Engineering.   Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod - bluesky: @kubernetespodcast.com   News of the week Kubernetes 1.34 Sneak Peak Upcoming changes to the Bitnami catalog (effective August 28th, 2025) Amazon EKS enables ultra scale AI/ML workloads with support for 100K nodes per cluster CNCF Cloud Native Glossary   Links from the interview Backstage DORA Metrics

In this episode, we're joined by Amber Knight from BookingsCloud to talk advertising, marketing teams, budget, AI/ML, targeting and a LOT more!Enjoy!⭐️ Links & Show NotesAdam NorkoConrad O'ConnellAmber KnightBookingsCloudEditor's note: we had some minor audio issues during recording. 

It was time to get Frank Denneman back on the show to discuss the enhancements introduced in VCF 9 and Private AI Foundation with NVIDIA. Frank goes over all new functionality and all the enhancements like Agent Builder etc. Frank also mentioned various must-attend sessions at Explore. Register now, as these will fill up fast:Chris Wolf, keynote and breakout!Shawn Kelly and Justin Murray: Accelerating AI WorkloadsFrank's AI/ML sessions!Disclaimer: The thoughts and opinions shared in this podcast are our own/guest(s), and not necessarily those of Broadcom, or Google.

In this conversation, Jakub shares his insights on the evolution of AI in finance, emphasizing the importance of specialized AI agents and the need for a robust infrastructure. He discusses his transition from corporate life to entrepreneurship, highlighting the challenges and rewards of building a startup. Jakub also offers practical advice on team dynamics, customer acquisition, and learning AI, stressing the significance of being customer-obsessed and the need for continuous learning and adaptation in the fast-paced tech landscape. Episode # 160 Today's Guest: Jakub Polec, Head of Quant, AI/ML Research Manager for Systematic Strategies, Quant Journey He has over 23 years of experience in IT and finance, excelling in regional leadership roles at Oracle, Microsoft, France Telecom, T-Mobile, and in hedge funds. He combines a strong scientific background from the University of Warsaw and CERN with deep tech expertise. As an entrepreneur, he has successfully launched, scaled, and exited ventures in AI/ML, MLOps, NLP, and e-commerce. Website: Quant Journey Youtube: Quant Journey What Listeners Will Learn: AI in finance requires specialized agents for better results.  Building a business around AI is more about organization than technology. Startup teams should balance experience with passion. Customer obsession is key to success in any business. Bootstrapping can lead to faster product development. Learning AI should be practical and application-focused. Engaging with the community can enhance learning. AI can automate many tasks traditionally done by humans. Effective leadership inspires and empowers teams. The landscape of technology is rapidly changing, making it easier to innovate. Resources: Quant Journey

Is your nonprofit still buried in paper forms and outdated systems? In this episode, I sit down with Patrick Waldo—AI and SaaS innovator and CEO of Unicorn Forms—to talk about the real risks and opportunities around e-signatures, data security, and going digital. From board agreements to grant paperwork and beyond, we explore how even small nonprofits can make a big leap into smarter, safer, and more accessible systems. If you're tired of chasing signatures and retyping forms, you need this conversation. Episode Highlights 05:20 - E-sign solutions and nonprofit needs 01:16 - Nonprofit Paperwork Challenges with Patrick Waldo 06:27 - E-signatures: Legal Basics & Security 13:14 - Digital Transformation & Real-World Examples 22:48 - Data, Analytics & The Future of Nonprofit Tech Meet the Guest My guest for this episode is Patrick Waldo. Patrick Waldo, CEO, is a seasoned technology leader with over 15 years of experience developing AI/ML and data analytics SaaS solutions adopted by the Fortune 500. As CEO of UnicornForms, Inc., he's on a mission to make paperwork frictionless through innovative form and document management. Previously, he served as VP of Product at Decernis, where he drove product development, led technical due diligence through two PE acquisitions, and secured two patents in AI/ML and NLP. At FoodChain ID, he led post-merger integration strategies, and at Redica Systems, he oversaw FDA analytics and monitoring for the pharmaceutical industry. Waldo holds master's degrees from Carnegie Mellon University and the University of Bologna, with expertise in IT, management, policy, and economics. He holds a Bachelor's degree from Grinnell College. Connect with Patrick: Web: https://www.unicornforms.com LinkedIn: https://www.linkedin.com/company/unicornforms Instagram: http://instagram.com/unicornforms Facebook: http://facebook.com/unicornforms Sponsored Resource Join the Inspired Nonprofit Leadership Newsletter for weekly tips and inspiration for leading your nonprofit! Access it here >> Be sure to subscribe to Inspired Nonprofit Leadership so that you don't miss a single episode, and while you're at it, won't you take a moment to write a short review and rate our show? It would be greatly appreciated! Let us know the topics or questions you would like to hear about in a future episode. You can do that and follow us on LinkedIn.

Podcast: PrOTect It All (LS 26 · TOP 10% what is this?)Episode: Lessons Learned in OT Security: Regulation, Collaboration, and the Rise of AI Threats with Kam Chumley-SoltaniPub date: 2025-07-28Get Podcast Transcript →powered by Listen411 - fast audio-to-text and summarizationIn this episode, host Aaron Crow is joined by Kam Chumley-Soltani, Director of OT Security at Armis, for a candid conversation that dives into the ever-evolving landscape of OT (operational technology) and IT cybersecurity. After several rescheduling attempts across time zones and even parking lots, Aaron and Kam finally sit down to share their frontline experiences and insights from the world of critical infrastructure security. From the increasing visibility of OT threats and the surge in regulatory requirements, to the convergence of IT and OT teams, they dig into what's driving organizations to prioritize real-time visibility, risk management, and collaboration. Kam reflects on his diverse background in the military, at Cisco, Dragos, and now Armis, while Aaron draws on decades of experience leading teams across power plants and utilities in Texas. They both underscore the importance of people, process, and technology - reminding us that even the best tools are only as valuable as the teams that wield them. The discussion explores the challenges smaller utilities face, balancing regulation with limited resources, and the need for cyber-informed engineering from the very start. Plus, they look ahead at the role of AI in cybersecurity, the daisy-chain effects of infrastructure attacks, and the importance of community and continuous learning in keeping ahead of the curve. Whether you're a cybersecurity veteran, just breaking into OT, or simply want to understand why your electricity bill matters, this episode is packed with anecdotes, practical advice, and a few laughs. So pull up a chair and get ready to protect it all! Key Moments:  03:18 Cybersecurity Developments and Regulatory Changes 06:33 Demand for Consulting and Assessments 09:51 Future of Regulation and Community 13:06 Regulating Small Utilities Challenges 16:41 Cybersecurity in Critical Infrastructure 19:43 Simplifying Complex Issues for All 26:12 Embracing AI in Cybersecurity 27:39 "Embrace Challenges, Educate Yourself" 30:14 Cybersecurity Threats to Infrastructure 34:29 Evaluating Automated Alerting Systems 39:38 Controlled Network Configuration Risks 42:10 Underfunded Team: Multi-Skill Necessity 45:31 "Collective Progress and Contribution" 48:13 "Geopolitical Threats to Infrastructure" About the guest :  Kam Chumley-Soltani serves as the Director of OT Solutions Engineering for the U.S. Public Sector at Armis, where he specializes in industrial cybersecurity. His expertise lies in designing secure and resilient network architectures for critical infrastructure environments. Previously, Kam led Cisco's OT Solutions Engineering team for the entire U.S. Public Sector, delivering end-to-end solutions across IoT/OT security, network architecture, diverse RF wireless deployments, embedded systems, and edge computing. He has guided numerous global enterprises, federal agencies, and SLED organizations in architecting solutions that incorporate robust networking, cybersecurity controls, advanced threat detection, and proactive vulnerability management. A Navy veteran, Kam served as a flight systems engineer and mission operations planner. He holds a B.S. in Cyber Operations from the United States Naval Academy, an M.S. in Cybersecurity from Brown University, and an M.B.A. from Northwestern University's Kellogg School of Management. He is currently pursuing his Doctor of Engineering (D.Eng.) in AI/ML from George Washington University.  How to connect Kam:  Linkedin: https://www.linkedin.com/in/kam-chumley-soltani/ Connect With Aaron Crow: Website: www.corvosec.com  LinkedIn: https://www.linkedin.com/in/aaronccrow   Learn more about PrOTect IT All: Email: info@protectitall.co  Website: https://protectitall.co/  X: https://twitter.com/protectitall  YouTube: https://www.youtube.com/@PrOTectITAll  FaceBook:  https://facebook.com/protectitallpodcast    To be a guest or suggest a guest/episode, please email us at info@protectitall.co   Please leave us a review on Apple/Spotify Podcasts: Apple   - https://podcasts.apple.com/us/podcast/protect-it-all/id1727211124 Spotify - https://open.spotify.com/show/1Vvi0euj3rE8xObK0yvYi4The podcast and artwork embedded on this page are from Aaron Crow, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

What happens after AI helps you write code faster? You create a bottleneck in testing, security, and operations. In part two of their conversation, SADA's Simon Margolis and Google Cloud's Ameer Abbas tackle this exact problem. They explore how Google's AI strategy extends beyond the developer's keyboard with Gemini Code Assist and Cloud Assist, creating a balanced and efficient software lifecycle from start to finish. We address the burning questions about AI's impact on the software development ecosystem: Is AI replacing developers? What does the future hold for aspiring software engineers? Gain insights on embracing AI as an augmentation tool, the concept of "intentional prompting" versus "vibe coding," and why skilled professionals are more crucial than ever in the enterprise. This episode offers practical advice for enterprises on adopting AI tools, measuring success through quantitative and qualitative metrics, and finding internal champions to drive adoption. We also peek into the near future, discussing the evolution towards AI agents capable of multi-step inferencing and full automation for specific use cases. Key Takeaways: Gemini Code Assist: AI for developer inner-loop productivity, supporting various IDEs and SCMs. Gemini Cloud Assist: AI for cloud operations, cost optimization, and incident resolution within GCP. AI's Role in Development: Augmentation, not replacement; the importance of human agency and prompting skills. Enterprise Adoption: Strategies for integrating AI tools, measuring ROI, and fostering a culture of innovation. The Future: Agents with multi-step inferencing, automation for routine tasks, and background AI processes. Relevant Links: Blog: A framework for adopting Gemini Code Assist and measuring its impact Gemini Code Assist product page Gemini Cloud Assist product page Listen now to understand how AI is shaping the future of software delivery! Join us for more content by liking, sharing, and subscribing!

As long-time listeners will know, I love the consumer lending space. So, I am delighted to welcome back to the podcast Matt Potere, the CEO of Happy Money, a position he has held since September 2024. Previously, Matt served as CEO of Sunlight Financial, which he took public via SPAC in 2021. With decades of experience in consumer finance across multiple asset classes, Matt brings deep expertise in credit cycles, risk management, and building successful lending platforms.In this episode, we discuss what differentiates Happy Money, their focus on credit unions, how they approach technology and underwriting, their big new forward flow agreement, the state of the consumer today, their use of AI, why culture is so important and much more.In this podcast you will learn:What attracted Matt to the opportunity at Happy Money.How he describes Happy Money today.What he learned leading Sunlight Financial that helps at Happy Money.Why they have focused on partnering with credit unions.Who is the typical customer coming to Happy Money.How their origination process works with their credit union partners.How they are using automation and AI/ML in their underwriting.Matt's perspective on the state of the US consumers.The primary use cases for a Happy Money loan.How they differentiate themselves from other fintech lenders.Matt's approach to scaling a lending business.How they are using AI tools in their operation.How the $500 million deal with Fortress and Edge Focus came together.What are his thoughts on an IPO.Matt thoughts about adding new products to personal loans.What they are focused on for the next 12 months.Connect with Fintech One-on-One: Tweet me @PeterRenton Connect with me on LinkedIn Find previous Fintech One-on-One episodes

As Black Hat USA 2025 approaches, the cybersecurity world is buzzing with innovation—and Dropzone AI is right at the center of it. With roots in Seattle and a mission to bring true intelligence into the security operations center (SOC), the Dropzone AI team is gearing up for a packed week in Las Vegas, from BSides to the AI Summit, and finally at Startup City (booth #6427).Founded by Edward Wu, former Head of AI/ML at ExtraHop Networks, Dropzone AI was built on a key realization: the last thing SOCs need is another flood of alerts. Instead, they need help processing and acting on them. That's where Dropzone comes in—offering an AI-powered security analyst that doesn't just detect threats, but investigates, correlates, and takes action.During a recent pre-event chat with ITSPmagazine's Sean Martin and Marco Ciappelli, Edward explained the core philosophy behind the platform. Unlike hype-driven claims of “fully autonomous SOCs,” Dropzone takes a practical, tiered approach to automation. Their agentic AI system performs full investigations, determines the nature of alerts (true vs. false positives), and recommends or executes containment actions depending on risk tolerance and policy.The tech has found particular traction with lean security teams, or those expanding toward 24/7 coverage without adding headcount. Rather than replacing humans, the platform augments them—freeing analysts from the drudgery of low-priority alert triage and giving them space to focus on strategic work. As Edward put it, “Nobody wants to be a tier-one analyst forever.” Dropzone helps make sure they don't have to be.The platform integrates across existing security stacks and data sources, drawing from threat intel, logs, and endpoint signals to build a full picture of every alert. Security teams retain full control, with human-in-the-loop decision-making remaining the standard in most use cases. However, for low-risk assets and off-hours scenarios, some customers are already authorizing autonomous action.With conversations at Black Hat expected to revolve around the reality of AI in production—not just the vision—Dropzone is entering the perfect arena. From demonstrating real-world impact to sharing insights on agentic design and trust boundaries, their presence will resonate with everyone from analysts to CISOs.Whether you're building out your SOC, questioning your MDR provider, or simply overwhelmed with alert fatigue, this may be your signal. Dropzone AI isn't selling buzzwords. They're delivering results. Visit them at Startup City, booth #6427, and see for yourself what the future of alert triage and SOC efficiency looks like—one investigation at a time. Note: This story contains promotional content. Learn more.Guests:Edward Wu, Founder/CEO at Dropzone AI On LinkedIn: https://www.linkedin.com/in/edwardxwu/DROPZONE AI: https://itspm.ag/dropzoneai-641Hosts:Sean Martin, Co-Founder at ITSPmagazine | Website: https://www.seanmartin.comMarco Ciappelli, Co-Founder at ITSPmagazine | Website: https://www.marcociappelli.com______________________ResourcesVisit the DROPZONE Website to learn more: https://itspm.ag/dropzoneai-641Learn more and catch more stories from Dropzone on ITSPmagazine: https://www.itspmagazine.com/directory/dropzoneaiLearn more about ITSPmagazine Brand Story Podcasts: https://www.itspmagazine.com/purchase-programsNewsletter Archive: https://www.linkedin.com/newsletters/tune-into-the-latest-podcasts-7109347022809309184/Business Newsletter Signup: https://www.itspmagazine.com/itspmagazine-business-updates-sign-upAre you interested in telling your story?https://www.itspmagazine.com/telling-your-story

Chief Product Development Officer Mitchell Johnson discusses how Sonatype protects enterprise developers from malicious open source components while keeping them productive through AI.Topics Include:Sonatype provides software supply chain solutions for enterprises using open source componentsThey serve large enterprises, government agencies, and critical infrastructure providers globallyMain challenge: keeping developers productive while maintaining secure software supply chainsCybercrime and supply chain attacks are massive, growing industries threatening developersAI adoption is happening faster than expected, profoundly changing development workflowsBad actors evolved from waiting for vulnerabilities to creating malicious componentsMalicious open source components specifically target developer and DevOps toolchainsSonatype's security research team uses AI/ML to analyze every open source componentThey can predict and block malicious components before entering customer environmentsAWS partnership helps Sonatype meet customers where they want to do businessPartnership focuses on go-to-market alignment, not just technical integrationAWS sales teams should be treated as extensions of your own sales organizationUnderstanding AWS sales structure and incentives is crucial for successful partnershipsAI development is following same pattern as open source adoption twenty years ago"Shadow AI" parallels the earlier "shadow IT" trend with open source softwareAI speeds up code generation but security review processes haven't kept paceDevelopers need a "Hippocratic Oath" - taking responsibility for AI-generated code outputWithin 24 months, professionals not skilled in AI will struggle to stay relevantSonatype's culture encourages curiosity, experimentation, and accepts failure as part of innovationTheir core mission: help developers focus on innovation, not security choresParticipants:Mitchell Johnson – Chief Product Development Officer, SonatypeFurther Links:Sonatype WebsiteSonatype on AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Low-code systems democratize artificial intelligence tools, allowing nontechnical staff members to produce data-driven apps independently. This movement creates questions about governance, security, and quality control even while it gives innovators agility and speed. How can companies enable low-code tool-equipped business units to provide strong security and governance? Are there best practices for juggling autonomy with control in democratized AI systems? What unanticipated difficulties might result from this move toward general AI availability? Guest: Udit Pahwa, Chief Information Officer at Blue Star Limited Guest Bio: Udit Pahwa More on this Episode: https://www.ciotalknetwork.com/low-code-ai-apps-enabling-innovation-ensuring-control/ More on AI & ML: https://www.ciotalknetwork.com/topics/artificial-intelligence-machine-learning/ Visit CIO Talk Network Website: https://www.ciotalknetwork.com/  

Is generative AI just another tool in the belt, or is it a fundamental transformation of the developer profession? We kick off a two-part special to get to the bottom of how AI is impacting the enterprise. SADA's Associate CTO of AI & ML, Simon Margolis, sits down with Ameer Abbas, Senior Product Manager at Google Cloud, for an insider's look at the future of software development. They cut through the noise to discuss how tools like Gemini Code Assist are moving beyond simple code completion to augment the entire software delivery lifecycle, solving real-world challenges and changing the way we think about productivity, quality, and automation. In this episode, you'll learn: What Gemini Code Assist is and the broad range of developer personas it serves. The critical debate: Is AI augmenting developer skills or automating their jobs? How to leverage AI for practical enterprise challenges like application modernization, improving test coverage, and tackling technical debt. Why the focus is shifting from developer productivity to overall software delivery performance. Ameer's perspective on the future of development careers and why students should lean into AI, not fear it. The limitations of "vibe coding" and the need for intentional, high-quality AI prompting in a corporate environment.   Join us for more content by liking, sharing, and subscribing!

Got ideas? Here's how to turn them into income—again and again.In this episode of 7-8 Figure Special Series I interviewed Jeremy Lessaris. Jeremy is an experienced global marketing and communicationsexecutive and entrepreneurial leader, with over two decades of experience in the industrial, energy, transportation, and technology sectors, establishing and investing in numerous ventures across several different industries.He previously served as Global Vice President of Marketing & Communications for Power Solutions International, owned by Weichai, a $28 billion Chinese industrial and marine conglomerate. Jeremy successfully managed global marketing efforts and secured over $30 million in capital and grants. During his tenure he rang the opening bell at NASDAQ and helped lead the company to become one of the fastest growing stocks in Illinois, up 364% in the first 6 months. Jeremy more recently founded, bootstrap funded and served as CEO of a leading US-based design agency Designed.co which was sold in late 2023. His leadership helped grow the agency nearly 3000% in the first 18 months of operation. His current role is Founder and CEO of Payment Brokers a fintech application that utilizes AI/ML to uncover proprietary pricing data used for negotiations with credit card processing companies. As an accomplished tech founder, with a proven track record, Jeremy has led 8 of his companies to successful exit. Want to build more than one business? Check this out!Show Links:Jeremy on LinkedIn: https://www.linkedin.com/in/jlessaris/Book a call with Michelle: https://go.appointmentcore.com/book/IcFD4cGJoin our Facebook group for business owners to get help or help other business owners!The Business Ownership Group - Secrets to Scaling: https://www.facebook.com/groups/businessownershipsecretstoscalingLooking to scale your business? Get free gifts here to help you on your way: https://www.awarenessstrategies.com/

Kai Wang joins the MLOps Community podcast LIVE to share how Uber built and scaled its ML platform, Michelangelo. From mission-critical models to tools for both beginners and experts, he walks us through Uber's AI playbook—and teases plans to open-source parts of it.// BioKai Wang is the product lead of the AI platform team at Uber, overseeing Uber's internal end-to-end ML platform called Michelangelo that powers 100% Uber's business-critical ML use cases.// Related LinksUber GenAI: https://www.uber.com/blog/from-predictive-to-generative-ai/#uber #podcast #ai #machinelearning ~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreMLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Kai on LinkedIn: /kai-wang-67457318/Timestamps:[00:00] Rethinking AI Beyond ChatGPT[04:01] How Devs Pick Their Tools[08:25] Measuring Dev Speed Smartly[10:14] Predictive Models at Uber[13:11] When ML Strategy Shifts[15:56] Smarter Uber Eats with AI[19:29] Summarizing Feedback with ML[23:27] GenAI That Users Notice[27:19] Inference at Scale: Michelangelo[32:26] Building Uber's AI Studio[33:50] Faster AI Agents, Less Pain[39:21] Evaluating Models at Uber[42:22] Why Uber Open-Sourced Machanjo[44:32] What Fuels Uber's AI Team

In this episode, we continue our conversation with Bhanu Prasad, an Impact Innovation Coach at Digital Impact Square (DISQ), a social innovation center based in Nashik, Maharashtra. DISQ uses cutting-edge digital technologies to address key societal challenges across sectors like Health, Education, Water, and Environment, and has been instrumental in guiding young entrepreneurs towards creating meaningful solutions for India's growing needs. Bhanu delves into the transition of young entrepreneurs into mature founders, sharing insights on how DISQ's mentorship programs and innovation platforms are driving this transformation. He also discusses one of his favorite startup success stories, highlighting how impactful solutions are emerging from DISQ. In this episode, Bhanu sheds light on his experience coaching healthcare startups, which are solving critical health issues in India, and offers a look at the exciting ed-tech startups being nurtured at DISQ. As the episode unfolds, Bhanu also shares his vision for the future of DISQ, outlining how the center plans to continue scaling innovations to address pressing social challenges in India.✨ ABOUT ME ✨ Hello, my name is Vidyangi (Vida) Patil. I am a mindset coach, author, and speaker. Five years ago when I started understanding success hacks for individuals, startups, and larger organizations little did I know I would end up working with mentors hail from Silicon Valley at Stanford University, MIT Media Lab, Singularity University, and incubators and accelerators. All the way from guiding AI/ML startup founders in winning pitch competitions, and bagging investor appointments to helping youth entrepreneurs and women land their dream job or promotion, I plan to spill the beans of wisdom to launch you higher wherever you are in your life. I have successfully coached communities in social impact initiatives during COVID. Every week you will see new videos from me on career, personal growth, and technology trends to onboard your rocket ship to success!

In this episode, we are joined by Bhanu Prasad, an Impact Innovation Coach at Digital Impact Square (DISQ), an open social innovation center located in Nashik, Maharashtra. DISQ encourages the use of digital technologies to address significant social challenges in sectors such as Health, Hygiene, Housing, Transportation, Food, Agriculture, Energy, Water, Environment, Financial and Personal Security, Citizen Empowerment, Transparency, Education, and Skills Development across India. Founded on the collaborative principles inspired by the MIT Media Lab's Camera Culture research group, DISQ represents a unique platform where local communities, domain experts, the government, and industry partners converge to address these challenges. Through initiatives like the Kumbhathon, DISQ played a pivotal role in improving the experience at the Simhastha Kumbh Mela, one of the largest gatherings of human beings in the world. This effort not only enhanced visitor experiences but also demonstrated how technology-driven solutions can solve large-scale problems in real-time. Join us as Bhanu Prasad shares insights into DISQ's mission, the impact of digital innovations on social issues, and the incredible journey of leveraging technology for public good.✨ ABOUT ME ✨ Hello, my name is Vidyangi (Vida) Patil. I am a mindset coach, author, and speaker. Five years ago when I started understanding success hacks for individuals, startups, and larger organizations little did I know I would end up working with mentors hail from Silicon Valley at Stanford University, MIT Media Lab, Singularity University, and incubators and accelerators. All the way from guiding AI/ML startup founders in winning pitch competitions, and bagging investor appointments to helping youth entrepreneurs and women land their dream job or promotion, I plan to spill the beans of wisdom to launch you higher wherever you are in your life. I have successfully coached communities in social impact initiatives during COVID. Every week you will see new videos from me on career, personal growth, and technology trends to onboard your rocket ship to success!

What if we told you that just one bad experience could send your customers running?

In this exciting episode of Pitch Cafe, we sit down with Divya, the founder of Sinewave AI, to discuss how AI is reshaping the healthcare landscape. By addressing the time-consuming process of prior authorization, Sinewave AI has created a solution that turns 30-40 minutes of work into just 30 seconds. Hear how this innovation is saving doctors more than 2 hours a day, empowering them to focus on what truly matters—patient care. Tune in to learn more about this game-changing technology! ------------------------------------------------------------------------------ ✨ ABOUT ME ✨ Hello, my name is Vidyangi (Vida) Patil. I am a mindset coach, author, and speaker. Five years ago when I started understanding success hacks for individuals, startups, and larger organizations little did I know I would end up working with mentors hail from Silicon Valley at Stanford University, MIT Media Lab, Singularity University, and incubators and accelerators. All the way from guiding AI/ML startup founders in winning pitch competitions, and bagging investor appointments to helping youth entrepreneurs and women land their dream job or promotion, I plan to spill the beans of wisdom to launch you higher wherever you are in your life. I have successfully coached communities in social impact initiatives during COVID. Every week you will see new videos from me on career, personal growth, and technology trends to onboard your rocket ship to success!

In this episode of Pitch Cafe, we sit down with Jeel Patel, a young and ambitious entrepreneur who, just 1.5 years out of college, is already working on his third startup, FieldCamp. His latest venture is building the first fully AI-powered software for SMBs, tapping into a $3 billion market that even VCs struggle to understand. But what makes jeel confident in his success? It's not just the idea—it's his deep industry knowledge, his experienced team, and his ability to leverage real connections with SMBs. Tune in to hear jeel's insights on AI, startup challenges, and why this time, he's betting big! ------------------------------------------------------------------------------ ✨ ABOUT ME ✨ Hello, my name is Vidyangi (Vida) Patil. I am a mindset coach, author, and speaker. Five years ago when I started understanding success hacks for individuals, startups, and larger organizations little did I know I would end up working with mentors hail from Silicon Valley at Stanford University, MIT Media Lab, Singularity University, and incubators and accelerators. All the way from guiding AI/ML startup founders in winning pitch competitions, and bagging investor appointments to helping youth entrepreneurs and women land their dream job or promotion, I plan to spill the beans of wisdom to launch you higher wherever you are in your life. I have successfully coached communities in social impact initiatives during COVID. Every week you will see new videos from me on career, personal growth, and technology trends to onboard your rocket ship to success!