Podcasts about ai ml

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.  

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.

Episode 22 — AI, ML, and the evolving role of the NDT inspectorOur Guest: Lennart Schulenburg - CEO, VisiConsultIn this episode of the NDE 4.0 podcast, we we welcome back Lennart Schulenburg as our guest to discuss the main drivers of AI and ML adoption in NDT, safety and accountability in AI-driven inspection systems, and the changing role of the inspector.

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!

In this episode, hosts Lois Houston and Nikita Abraham welcome back Cloud Delivery Lead Sarah Mahalik for a detailed tour of the four pillars of Oracle Fusion Cloud Applications: ERP, HCM, SCM, and CX.   Discover how Oracle weaves AI, analytics, and automation into every layer of enterprise operations. Plus, learn how Oracle Modern Best Practice is redefining digital workflows.   Oracle Fusion Cloud Applications: Process Essentials https://mylearn.oracle.com/ou/course/oracle-fusion-cloud-applications-foundation-hcm/146870 https://mylearn.oracle.com/ou/course/oracle-fusion-cloud-applications-foundations-enterprise-resource-planning-erp/146928/241047 https://mylearn.oracle.com/ou/course/oracle-fusion-cloud-applications-foundation-scm/146938 https://mylearn.oracle.com/ou/course/oracle-fusion-cloud-applications-foundation-cx/146972   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: Hello and welcome to the Oracle University Podcast! I'm Lois Houston, Director of Innovation Programs with Oracle University, and joining me is Nikita Abraham, Team Lead: Editorial Services.     Nikita: Hi everyone! Last week, we spoke about Oracle Cloud Apps and the Redwood design system. Today, we'll take a closer look at the four key pillars of Oracle Cloud Apps.    Lois: And we're so excited to have Sarah Mahalik back with us. Sarah is a Cloud Delivery Lead here at Oracle. Hi Sarah! In the last episode, we briefly spoke about the various Oracle Cloud Apps offerings and their capabilities. For anyone who missed that episode, can you give us a quick introduction?   01:06   Sarah: Oracle Cloud Applications is an incredibly broad suite that covers many of the most important business functions, from Human Capital Management, Supply Chain Management, to Enterprise Resource Planning and Customer Experience. The products in the Oracle Fusion Cloud Applications suite are organized by functional groups or pillars. All of these applications sit on Oracle Cloud Infrastructure, a foundation built from scratch to support mission-critical applications.    Oracle Fusion Applications deliver a single source of truth, enabling quick responses to disruptions and market opportunities. With unified data and consistent business rules, teams can build streamlined end-to-end processes, access real time analytics, and make faster data-driven decisions for improved outcomes.   01:52   Nikita: Ok, let's actually get into each of these areas. I think we can start with Human Capital Management.   Sarah: Oracle Human Capital Management is an end-to-end solution that allows you to manage all aspects of people data from hire to retire. It all starts with recruiting, or requisitions are used to advertise vacant positions, and candidates are managed through the hiring process. After recruitment, successful candidates are transferred to the human resources module.   You can configure the organization structure to mirror that of your business. And this allows for easy reorganization whenever the structure changes. People data is a staple element of HCM. Therefore, as part of this product, an HR specialist can manage everything about the employee life cycle, including promotions, transfers, general assignment changes, and terminations.   A robust self-service offering allows employees and managers to take ownership and responsibility for the data pertaining to themselves and their teams. By removing the burden of simple data processing from the HR specialists, it not only eases the pressure on the HR department but allows them to concentrate on more specialized tasks.   03:00   Lois: And how are the core products of HCM categorized?   Sarah: The core products of Human Capital Management are categorized into four main groupings according to their logical purpose. First up, we have our human resources. This grouping includes the elements for implementing and maintaining the enterprise and workforce structure and employee life cycle data. This is where you would configure the organization structure as well as manage an employee's data from the HR specialist point of view. In addition, modules such as benefits, work life, workforce modeling and planning, and advanced HCM controls also sit within this category.   This brings us to talent management. This category is one of the largest because it includes recruiting, learning, goals and performance management, career development, succession planning, talent reviews, and compensation. In addition to that, dynamic skills and opportunity marketplace are also included in this grouping. Within workforce management, you'll find absence management and time and labor.   These naturally sit together because most organizations that implement both configure it so that an employee can enter both work time and absences on a time card, instead of having to visit two different entry points. You'll also find workforce health and safety here. And finally, payroll. All aspects of payroll are included here, whether you're simply using global payroll or localizations, such as UK, Canada, and Mexico.   It also encompasses payroll interface for those organizations that run their payroll from another system, and just need to extract and migrate the relevant data from Fusion HCM Cloud. When talking about HCM systems, we cannot forget the employee self-service aspect of the product. For this, there's an employee experience module called Oracle Me. Here you'll find options, such as HCM communicate, touchpoints, journeys, HR help desk, and Oracle digital assistant.   All of these combined enable an employee to take control and ownership of their own data, and use the many self-help options to get the information they need quickly and efficiently. In order to control how the system behaves and how users interact with it and perform the various processes, there are configuration options. These options allow organizations to define such things as the user experience, workflows, and approval policies based on their business requirements. And to meet the constant need for reporting, there's analytics, planning, and data modeling.   And in addition to all of that, you can use configuration options, such as extensibility, integration, or import and extracts, security, and adaptive intelligence to help enhance the system and have it working and looking the way you need. Of course, much of these latter configuration items are not exclusive to HCM but are available for the Oracle Fusion Cloud as a whole.   05:47   Lois: That's great. Ok, let's move on to Oracle Enterprise Resource Planning, or ERP.   Sarah: This is a complete modern Cloud ERP suite that provides your teams with advanced capabilities, such as AI, to automate the manual processes that slow them down, analytics to react to market shifts in real time, and automatic updates to stay current and gain a competitive advantage.   Oracle Cloud ERP automates the entire Record to Report process and provides a common repository of information for global financial reporting and compliance. Within ERP, we have the broadest and deepest suite offering everything you need, from financials, project management, enterprise performance management, risk management and compliance, and analytics.    06:34   Nikita: Sarah, could you break down the different modules within ERP?   Sarah: First, we have Financials, which is a global financial platform that connects and automates your financial management processes, including payables, receivables, fixed assets, expenses, and reporting for a clear view into your total financial health. Oracle Project Management offers a single project cloud solution designed to help you gain a complete picture of your organization's project finances and operations. It's seamlessly integrated across the enterprise with the Oracle Fusion Cloud ERP, HCM, and SCM applications.   Oracle Fusion Cloud Enterprise Performance Management, or EPM, helps you model and plan across finance, HR, supply chain and sales, streamline the financial close process, and drive better decisions. Oracle Fusion Cloud Risk Management and Compliance is a security and audit solution that controls user access to your Oracle Cloud ERP financial data, monitors user activity, and makes it easier to meet compliance regulations through automation.   Oracle Risk Management Compliance uses AI and ML to strengthen financial controls to help prevent cash leaks, enforce audit, and protect against emerging risks, saving you hours of manual work. Oracle Analytics for Cloud ERP complements the embedded analytics in Cloud ERP to provide pre-packaged use cases, predictive analysis, and KPIs based on variance analysis and historical trends.    08:06   Lois: And what about Supply Chain Management?   Sarah: Oracle Supply Chain Management empowers organizations to plan, source, make, deliver, and service goods with agility and resilience. It offers a solution that integrates advanced capabilities, such as AI/ML and blockchain, to optimize the supply chain life cycle from start to finish.   08:31   Adopting a multicloud strategy is a big step towards future-proofing your business and we're here to help you navigate this complex landscape. With our suite of courses, you'll gain insights into network connectivity, security protocols, and the considerations of working across different cloud platforms. Start your journey today to multicloud today by visiting mylearn.oracle.com.    08:58   Nikita: Welcome back! Sarah, what makes Oracle Fusion SCM so powerful?   Sarah: When it comes to planning, you can leverage strategic, tactical, and operational processes for accurate forecasting and resource alignment. Sourcing and manufacturing help you streamline procurement and production to meet supply and demand efficiently. Inventory and warehousing processes ensure the right goods are available, stored, and managed effectively.   Fulfillment is also known as the pick, pack, and ship part of the supply chain and delivery entails order tracking and receipt. Having connected processes in place ensures that billing and revenue recognition are applied correctly on the goods and services. Great customer service models provide accurate tracking of customer orders and deliveries. And this can provide insight for an accurate picture of future planning, manufacturing, and inventory forecasts. This is a constant cycle because information and analytics feed into the planning process.   Oracle Supply Chain Management is designed to seamlessly integrate and optimize every step of the supply chain process, ensuring businesses can adapt to dynamic market conditions and customer expectations. The solution supports end-to-end supply chain processes and leverages cutting-edge technologies to transform how organizations manage their operations.   In planning, Oracle SCM empowers businesses with advanced planning tools to align supply and demand effectively. Sourcing and manufacturing assists in streamlining procurement and manufacturing workflows to drive efficiency. Inventory and warehousing optimizes inventory and warehouse management processes with intelligent capabilities.   Fulfillment delivery helps to accelerate order fulfillment and delivery operations to meet customer needs. And servicing allows you to maintain strong customer relationships through seamless post-sale servicing. Oracle SCM ensures an agile and resilient supply chain with the help of technologies like AI, ML, and blockchain. These tools empower organizations to stay competitive in a fast-paced environment while exceeding customer expectations.   11:03   Lois: To round out our discussion, let's talk about Oracle Customer Experience.   Sarah: Customer Experience, or CX, provides the platform and products necessary to capture all customer touch points and interactions. This platform also automates the business process from interest and lead generation to the sale and provision of products and services. The major product areas are marketing, sales, service, and CX platform.    11:32   Nikita: Could you dive a bit deeper into its key areas?   Sarah: Oracle Marketing solutions allow you to create targeted cross-channel marketing campaigns, optimize lead generation activities, personalize customer and prospect communication, and automate marketing activities. Use real-time data-driven insights to engage, convert, and nurture buyer relationships to increase sales. Featured products include Eloqua Marketing Automation, Responsys Campaign Management, CrowdTwist Loyalty and Engagement, Infinity Behavioral Intelligence, Unity Customer Data Platform, and more.   With Oracle Sales, you can deliver responsive selling across all touchpoints. Oracle Sales guides sellers with intelligent recommendations and gives them a faster path to critical records to help them focus on the right prospects at the right time. The modern, unified selling and buying approach of Oracle CX connects sales and commerce to service, marketing, and the entire customer experience. Featured products include Salesforce Automation, Sales Planning, Sales Performance Management, Configure, Price, and Quote, Subscription Management, Partner Relationship Management, and Customer Data Management.   Oracle Service enables you to help customers when and where they need you with automated workflows for customer self-service, agent-assisted service, and Field Service engagements. You can accelerate the resolution of service issues with AI-driven recommendations, unified data visibility, and cross-organization and cross-channel collaboration tools.   At Oracle, we make every customer interaction matter by using a suite of CX Cloud applications that connect marketing, sales, customer service, Field Service, and e-commerce. Oracle connects our customer experience systems with finance, supply chain, and HR on a unified cloud platform for a single, dynamic 360-degree view of the customer.   13:31   Lois: Before we wrap up, how does Oracle Modern Best Practice, or OMBP, fit into Oracle Cloud Apps?   Sarah: OMBP illustrates common business processes optimized to leverage the latest applications and technologies in Oracle Fusion Applications.   Oracle Modern Best Practice comprises reimagined industry standard business processes powered by Oracle technology. Engineered into Fusion Applications, OMBP simplifies and streamlines workflows, enabling organizations to leverage modern, efficient, and scalable practices. As we align more assets with OMBP, there will be a stronger connection between global process owners and business process innovation within a customer's organization.   OMBP was derived from over 10,000 successful delivery projects. To publish an OMBP, past Oracle projects were analyzed for successful and unsuccessful processes. Successful processes were reviewed and optimized by product experts, engineers, customers, and key users. Optimized processes were published to OMBP to make them available to other customers.   14:40   Lois: Well, that's it for this episode. Thank you, Sarah, for all of your incredible insights.    Nikita: If you want to learn more about what we discussed today, head over to mylearn.oracle.com and take a look at the Oracle Fusion Cloud Applications Process Essentials courses. Until next time, this is Nikita Abraham…   Lois: And Lois Houston, signing off!   15:01   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.  

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!

In this episode of the Data Science Salon Podcast, we sit down with Anusha Nerella, a seasoned technology leader and Senior Principal Software Engineer at State Street Corporation. With over a decade of experience across top-tier institutions like Barclaycard, Citibank, and USPTO, Anusha brings deep technical expertise in AI/ML automation, enterprise engineering, and scalable financial systems. In this conversation, Anusha shares her journey from software development to leading enterprise-scale AI initiatives, her work in high-frequency trading and automation frameworks, and her passion for mentoring and advancing the next generation of tech talent. Key Highlights: Engineering with Purpose: Anusha walks us through how she's building intelligent, AI-powered automation frameworks to optimize performance and reliability in financial systems at scale. Bridging Code & Vision: A look at how her work integrates AI, DevOps, and big data architecture to deliver long-lasting, strategic impact within complex enterprise environments. Leading with Intention: Anusha discusses the role of mentorship, community involvement, and advocacy in shaping a more inclusive and innovative future in tech. The Future of AI Automation: Insight into where the industry is heading—from operationalizing machine learning to driving cross-industry transformation with intelligent systems. Whether you're a technical founder, enterprise leader, or aspiring AI engineer, this episode offers a deep dive into how real-world AI systems are built, scaled, and delivered with precision and purpose.

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/

Hear from Cristian deRitis, deputy chief economist at Moody's Analytics, on the stress testing impact of heightened geopolitical risk, constantly shifting tariffs, climate risk developments, and AI/ML evolution. This podcast examines stress testing challenges and trends, with an eye on how regulation and recent events are shaping these important exercises. Regulatory stress tests play a key role in ensuring that large banks hold enough capital withstand extreme recessions, while internal stress tests at banks are used for everything from capital and liquidity planning to risk monitoring, risk identification and operational resilience. Today, though, there are questions about whether regulatory stress tests – particularly the Federal Reserve's CCAR exercise – are transparent enough. Internal tests, moreover, are being heavily influenced by heightened geopolitical risk and U.S. policy changes, such as fluctuating tariffs. To more effectively manage all the different scenarios they must consider, financial institutions are also making greater use of next-generation technology, like artificial intelligence and machine learning, in their stress-testing methodologies. What's more, they must consider changing regulatory winds on climate risk. Relevant Links: GARP Benchmarking Initiative Modeling Risk (Risk Intelligence column by Cristian deRitis)   Speaker's Bio Cristian deRitis is Managing Director and Deputy Chief Economist at Moody's Analytics. As the head of econometric model research and development, he specializes in the analysis of current and future economic conditions, scenario design, consumer credit markets and housing. In addition to his published research, Cristian is a co-host on the popular Inside Economics Podcast. He can be reached at cristian.deritis@moodys.com.

How do you build a DePIN network with 2.7M+ devices, zero CAC, and data streams optimized for AI—without draining batteries or compromising user trust?In this episode of The Index, Alex Kehaya sits down with Jesse Adams, serial entrepreneur and co-founder of Uprock, to unpack how they're building the world's first mobile-first DePIN for AI.Jesse's journey spans building an adult app store, launching an encrypted browser (Tenta, acquired), and now scaling Uprock—a decentralized physical infrastructure network designed to deliver real-time, geo-distributed data for AI/ML. Instead of relying on always-on proxies, Uprock's task-based architecture wakes mobile devices only when needed, performs lightweight actions (like scraping or uptime checks), and puts them back to sleep—keeping performance high and energy use low.We explore:Why location-specific data is critical for LLMs and autonomous agentsHow Uprock scaled to 2.7M devices with zero paid acquisitionTheir crypto micropayment model for rewarding bandwidth contributionAI-driven dev workflows for code review, QA, and marketing at speedIf you're building in DePIN, Web3 infra, or AI tooling—this convo is packed with ideas from the frontier.

Eric CharranEric Charran is the Founder and CEO of Vulcan Collaborative, a visionary consultancy that helps organizations harness the power of data, AI, and digital transformation to drive real business impact. With over 25 years of experience, Eric is a seasoned data and AI executive known for transforming global enterprises through innovative strategies, scalable platforms, and actionable intelligence.Eric specializes in leading cross-functional teams to design and implement next-generation data ecosystems—including lakehouse, mesh, and fabric architectures—that have reduced time-to-insight by 45%, improved marketing ROI by 20%, and delivered over $250M in incremental revenue. His work in multi-cloud strategies has achieved $30M in annual savings while ensuring enterprise-grade resilience and governance.With deep expertise in both Generative AI and classic AI/ML, Eric has developed impactful solutions such as AI-powered fraud detection (saving $45M annually) and personalized customer experiences at scale. Known for aligning technical innovation with business outcomes, he empowers marketing, operations, and leadership teams to make smarter decisions and achieve sustainable growth.Eric is also a passionate advocate for ethical AI, robust data governance, and a culture of innovation. As a respected thought leader, he actively shapes the conversation around the future of AI and data strategy in the digital economy.Connect with Eric

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!

In this Checkout episode, we get a behind-the-scenes look at Luke Matthews, the Head of IT at Camilla who's helping drive international growth. Luke shares his experience building DIY drones, the underrated power of integration platforms like iPaaS, and why breathing techniques from James Nestor's Breath are his secret weapon against stress. He also reflects on what brands like Kitchen Warehouse are doing right, his admiration for brands that prioritise operational excellence, and the endless prioritisation challenges that come with scaling a global retail business. Check out our full-length interview with Luke Matthews here: https://addtocart.com.au/add-to-cart/the-unseen-tech-behind-camillas-global-fashion-empire-518/ This episode was brought to you by StudioHawk.About your guest:Luke Matthews is an experienced technology executive with over a decade leading digital transformation and innovation in retail. As Head of IT at Camilla Australia, he drives technology initiatives that enhance customer experience, streamline operations and support growth across physical and online stores. A former CTO at Kitchen Warehouse Australia, Luke championed digital advancements, including website optimisation, data-driven marketing, and click-and-collect solutions. He has also led major projects at Retail Directions, delivering software development and system localisation for global retailers. Luke's expertise spans cybersecurity, AI/ML in retail, data analytics, cloud architecture and business process re-engineering. With a results-driven mindset, he consistently delivers solutions that boost profitability, efficiency and customer engagement.About your host:Nathan Bush is the host of the Add To Cart Podcast and a leading ecommerce transformation consultant. He has led eCommerce for businesses with revenue $100m+ and has been recognised as one of Australia's Top 50 People in eCommerce four years in a row. You can contact Nathan on LinkedIn, X or via email.Got an idea, opportunity or just want to get involved? Whether you're keen to sponsor Add To Cart, interested in jumping on the mic as a co-host, or have feedback to help us make the show even better, we'd love to hear from you. Shoot us an email at hello@addtocart.com.au and let's chat! Hosted on Acast. See acast.com/privacy for more information.

Welcome to another powerful episode of Pitch Cafe Podcast!

Designing wearables with integrated AI /ML just got one step easier with Nordic Semiconductor's acquisition of Neuton.AI. While the two companies had already been working together, you can expect a lot more integration between Nordic's MCUs and the very low-power AI IP that Neuton.AI has become famous for. On this week's Embedded Executives podcast. I spoke to Øyvind Strom, the EVP of Nordic's Short-Range Business Unit. He explains why a developer should sit up and take notice, and what the design community can expect from this powerful combination down the road.

Welcome to a special episode covering everything happening at the RSAC 2025. Meet Sameer Ahirrao, Founder & CEO of Ardent Privacy, with 25+ years of experience working with global giants like Deloitte, Lockheed Martin, and Symantec. Joining him is Nick Salian, CISO at Cantor Fitzgeraldic, and an AI regulation expert who's played key roles at Wipro and Palo Alto Networks. In this episode, we dive deep into how AI is transforming the cybersecurity landscape, the biggest trends at RSA 2025, and why AI governance solutions are the next big thing. We also break down the concept of Data Bill of Materials and how Ardent Privacy helps organizations protect critical data infrastructures—whether you're launching new software or safeguarding legacy IT. Sameer's reference in the interview • "AI Ethics by Design Is the Way Ahead to P...

Her early inspiration while growing up in Goa with limited exposure to career options. Her Father's intellectual influence despite personal hardships and shift in focus to technology.Personal tragedy sparked a resolve to become financially independent and learn deeply.Inspirational quote that shaped her mindset: “Even if your dreams haven't come true, be grateful that so haven't your nightmares.”Her first role at a startup with Hands-on work with networking protocols (LDAP, VPN, DNS). Learning using only RFCs and O'Reilly books—no StackOverflow! Importance of building deep expertise for long-term success.Experiences with Troubleshooting and System Thinking; Transitioned from reactive fixes to logical, structured problem-solving. Her depth of understanding helped in debugging and system optimization.Career move to Yahoo where she led Service Engineering for mobile and ads across global data centers got early exposure to big data and machine learning through ad recommendation systems and built "performance and scale muscle" through working at massive scale.Challenges of Scale and Performance Then vs. Now: Problems remain the same, but data volumes and complexity have exploded. How modern tools (like AI/ML) can help identify relevance and anomalies in large data sets.Design with Scale in Mind - Importance of flipping the design approach: think scale-first, not POC-first. Encourage starting with a big-picture view, even when building a small prototype. Highlights multiple scaling dimensions—data, compute, network, security.Getting Into ML and Data Science with early spark from MOOCs, TensorFlow experiments, and statistics; Transition into data science role at Infoblox, a cybersecurity firm with focus areas on DNS security, anomaly detection, threat intelligence.Building real-world ML model applications like supervised models for threat detection and storage forecasting; developing graph models to analyze DNS traffic patterns for anomalies and key challenges of managing and processing massive volumes of security data.Data stack and what it takes to build data lakes that support ML with emphasis on understanding the end-to-end AI pipelineShifts from “under the hood” ML to front-and-center GenAI & Barriers: Data readiness, ROI, explainability, regulatory compliance.Explainability in AI and importance of interpreting model decisions, especially in regulated industries.How Explainability Works -Trade-offs between interpretable models (e.g., decision trees) and complex ones (e.g., deep learning); Techniques for local and global model understanding.Aruna's Book on Interpretability and Explainability in AI Using Python (by Aruna C).The world of GenAI & Transformers - Explainability in LLMs and GenAI: From attention weights to neuron activation.Challenges of scale: billions of parameters make models harder to interpret. Exciting research areas: Concept tracing, gradient analysis, neuron behavior.GenAI Agents in Action - Transition from task-specific GenAI to multi-step agents. Agents as orchestrators of business workflows using tools + reasoning.Real-world impact of agents and AI for everyday lifeAruna Chakkirala is a seasoned leader with expertise in AI, Data and Cloud. She is an AI Solutions Architect at Microsoft where she was instrumental in the early adoption of Generative AI. In prior roles as a Data Scientist she has built models in cybersecurity and holds a patent in community detection for DNS querying. Through her two-decade career, she has developed expertise in scale, security, and strategy at various organizations such as Infoblox, Yahoo, Nokia, EFI, and Verisign. Aruna has led highly successful teams and thrives on working with cutting-edge technologies. She is a frequent technical and keynote speaker, panelist, author and an active blogger. She contributes to community open groups and serves as a guest faculty member at premier academic institutes. Her book titled "Interpretability and Explainability in AI using Python" covers the taxonomy and techniques for model explanations in AI including the latest research in LLMs. She believes that the success of real-world AI applications increasingly depends on well- defined architectures across all encompassing domains. Her current interests include Generative AI, applications of LLMs and SLMs, Causality, Mechanistic Interpretability, and Explainability tools.Her recently published book linkInterpretability and Explainability in AI Using Python: Decrypt AI Decision-Making Using Interpretability and Explainability with Python to Build Reliable Machine Learning Systems  https://amzn.in/d/00dSOwAOutside of work, she is an avid reader and enjoys creative writing. A passionate advocate for diversity and inclusion, she is actively involved in GHCI, LeanIn communities.

Second guest episode of the SP era - with a guy living the dream. Akash worked in the front offices of the New York Yankees and Miami Dolphins as well as a Google data scientist before leaving it all behind to be a full-time bettor.This builds on our recent modeling episodes as we take a jump from simple/ regression based models into the AI/ML blackbox.You can find Akash in the GP Discord under the name joshroyale00:00 Show Intro 01:50 Yankees Front Office 11:05 Transition from Sports Analytics to Betting  23:30 Data Pipelines, Friction Reduction and Useful Features  39:45 AI vs. Pro Sports Bettor49:50 Modeling Philosophy: Transparency vs. Black Boxes  1:11:35 Handling Downswings and Model Validation  1:17:00 News Roundup: IL Tax, FanDuel Ban, Polymarket x Twitter  1:30:50 Listener Q&A Welcome to The Risk Takers Podcast, hosted by professional sports bettor John Shilling (GoldenPants13) and SportsProjections. This podcast is the best betting education available - PERIOD. And it's free - please share and subscribe if you like it.My website: https://www.goldenpants.com/ Follow SportsProjections on Twitter: https://x.com/Sports__ProjWant to work with my betting group?: john@goldenpants.comWant 100s of +EV picks a day?: https://www.goldenpants.com/gp-picks

June 10, 2025 | This episode of The Chain features a panel discussion from May's PEGS Boston. Moderated by Peter Tessier, Albert M. Mattocks professor of Pharmaceutical Sciences and Chemical Engineering at the University of Michigan, the panelists include Sarel Fleishman, professor of Biomolecular Sciences at the Weizmann Institute of Science; Kadina Johnston, senior specialist of Discovery Biologics at Merck & Co.; Vincent Ling, chief business officer of Morphocell Technologies; Arvind Rajpal, SVP of Xaira; and Max Vasquez, chief computing officer of Adimab. Together they discuss benchmarking AI/ML methods compared to traditional approaches, development of human-relevant training data, identifying and addressing core challenges in de novo designs, and more. Links from this episode:  PEGS Boston Conference & Expo Engineering Bispecific Antibodies University of Michigan University of Michigan Chemical Engineering Weizmann Institute of Science Scala Biodesign Merck & Co., Inc. Morphocell Technologies Bill & Melinda Gates Foundation Xaira Adimab LLC 

Brett Ewing is the Founder and CEO of AXE.AI, a cutting-edge cybersecurity SaaS start-up, and the Chief Information Security Officer at 3DCloud. He has built a career in offensive cybersecurity, focusing on driving exponential improvement. Brett progressed from a Junior Penetration Tester to Chief Operating Officer at Strong Crypto, a provider of cybersecurity solutions. He brings over 15 years of experience in information technology, with the past six years focused on penetration testing, incident response, advanced persistent threat simulation, and business development. He holds degrees in secure systems administration and cybersecurity, and is currently completing a Masters in cybersecurity with a focus area in AI/ML security at the SANS Technology Institute. Brett also holds more than a dozen certifications in IT, coding, and security from the SANS Institute, CompTIA, AWS, and other industry vendors. In this episode… Penetration testing plays a vital role in cybersecurity, but the traditional manual process is often slow and resource-heavy. Traditional testing cycles can take weeks, creating gaps that leave organizations vulnerable to fast-moving threats. With growing interest in more efficient approaches, organizations are exploring new AI tools to automate tasks like tool configuration, project management, and data analysis. How can cybersecurity teams use AI to test environments faster without increasing risk? AXE.AI offers an AI-powered platform that supports ethical hackers and red teamers by automating key components of the penetration testing process. The platform reduces overhead by configuring tools, analyzing output, and building task lists during live engagements. This allows teams to complete high-quality tests in days instead of weeks. AXE.AI's approach supports complex environments, improves data visibility for testers, and scales efficiently across enterprise networks. The company emphasizes a human-centered approach and advocates for workforce education and training as a foundation for secure AI adoption. In today's episode of She Said Privacy/He Said Security, Jodi and Justin Daniels speak with Brett Ewing, Founder and CEO of AXE.AI, about leveraging AI for offensive cybersecurity. Brett explains how AXE.AI's platform enhances penetration testing and improves speed and coverage for large-scale networks. He also shares how AI is changing both attack and defense strategies, highlighting the risks posed by large language models (LLMs) and deepfakes, and explains why investing in continuous workforce training remains the most important cyber defense for companies today.

Open-source intelligence has historically been used to augment government intelligence about our adversaries.  Government is relying more heavily on commercial data but how does that lend to resiliency, transparency, and deterrence? How should commercial data become more integrated and more trusted? What role does AI/ML have in the future of warfare? This episode features Colonel Lina Cashin (USAF, ret.) from The Aerospace Corporation speaking to USSF Deputy Chief of Space Operations for Intelligence Chief Master Sergeant Ronald Lerch and Clinton Clark, Vice President at data supplier ExoAnalytic Solutions.  This episode is part of the Going Faster Series that discusses various facets of speed, agility, innovation, and rapid deployment in national security, civil, and commercial space.   The Space Policy Show is produced by The Aerospace Corporation's Center for Space Policy and Strategy. It is a virtual series covering a broad set of topics that span across the space enterprise. CSPS brings together experts from within Aerospace, the government, academia, business, nonprofits, and the national labs. The show and their podcasts are an opportunity to learn about and to stay engaged with the larger space policy community. Subscribe to our YouTube channel to watch all episodes!

Go to https://cozyearth.com and use code HUMANHR for 40% off their best-selling sheets, pajamas, towels, and more. And if you get a post-purchase survey? Let them know you heard about Cozy Earth right here.In this episode, Traci Chernoff interviews Eric Charran about his book 'Have You Ever Had a Boss That Succeeded in a Dysfunctional Workplace'. They discuss the impact of toxic leadership on employee well-being and productivity, the archetypes of dysfunctional managers, and practical strategies for navigating these challenges. Eric shares personal experiences that inspired his book and emphasizes the importance of understanding and addressing unhelpful managerial behaviors to foster a healthier workplace culture. In this conversation, Traci Chernoff and Eric Charran delve into the complexities of workplace dynamics, focusing on emotional responses, the importance of managing up, and the necessity of empathy in leadership. They discuss various archetypes of managers, particularly the 'surprised' archetype, and how these behaviors impact team dynamics. The conversation emphasizes the importance of building trust, understanding emotional reactions, and developing coping strategies to navigate workplace challenges effectively. Eric shares insights from his book, encouraging listeners to empower themselves and recognize their worth in professional settings.Chapters00:00 Introduction to Dysfunctional Workplaces02:59 The Genesis of the Book05:53 Understanding Manager Archetypes09:00 The Impact of Toxic Leadership01:53 Breaking the Cycle of Dysfunction14:55 Exploring Manager Archetypes17:46 The Emergency Broadcaster Archetype21:54 Coping with Chaos: Understanding Emotional Responses24:13 Managing Up: The Art of Diplomacy28:43 Building Trust: The Importance of Empathy31:47 The Surprised Archetype: Navigating Unexpected Challenges36:51 Empowerment Through Understanding: Knowing Your WorthWe hope you enjoyed this episode with Eric Charran. If you found our discussion insightful, we'd like you to take a moment to rate our podcast. Your feedback helps us grow and reach more listeners who are passionate about these topics. You can also leave a review and tell us what you loved or what you'd like to hear more of - we're all ears!Don't forget to rate, review, and subscribe! Plus, leave a comment if you're catching this episode on Spotify or YouTube.About Our Guest: Eric Charran is a visionary data and AI executive with over 25 years of experience transforming global organizations through innovative data strategies, AI/ML solutions, and scalable enterprise platforms. He has led the design of next-generation data ecosystems—including lakehouse, mesh, and fabric architectures—driving $250M+ in revenue, reducing time-to-insight by 45%, and boosting marketing ROI by 20%. His expertise spans Generative AI, traditional AI/ML, and multi-cloud strategies that have delivered $30M in annual savings while ensuring resilience and compliance. A recognized thought leader, Eric is passionate about ethical AI, data governance, and building cultures of innovation that align technology with business impact.Connect with Eric Charran here:LinkedIn: https://www.linkedin.com/in/ericcharran/ Connect with Traci here: ⁠https://linktr.ee/HRTraci⁠Disclaimer: Thoughts, opinions, and statements made on this podcast are not a reflection of the thoughts, opinions, and statements of the Company by whom Traci Chernoff is actively employed.Please note that this episode may contain paid endorsements and advertisements for products or services. Individuals on the show may have a direct or indirect financial interest in products or services referred to in this episode.

On this episode of That Tech Pod, Laura and Kevin sit down with Alexander Patrushev, Head of Product for AI/ML at Nebius, a European cloud platform focused on machine learning infrastructure. Kicking things off, we unpack the buzz around China's fully AI-powered “Agent Hospital,” raising questions about what role AI should play in medicine. Laura also shares a personal rant about navigating the healthcare system in search of real answers.Then, Alex joins from Luxembourg to explain what Nebius does, who it's built for, and how it helps companies tackle ML workloads. He breaks down the common mistakes teams make when launching ML projects and why success depends more on people and processes than just tech. The conversation also goes into whether companies should host their own LLMs or use pay-per-token APIs, and how to approach that decision. Looking ahead, Alex challenges the idea that AI is inherently hard and shares what businesses should really be focusing on, from smarter software to evolving hardware needs, as AI infrastructure continues to grow. It's a thoughtful, practical look at the future of AI from someone who builds the tools to power it.Alexander Patrushev is an experienced IT leader with over 15 years in the industry, including the past six focused on artificial intelligence. He currently serves as Head of Product for AI/ML at Nebius, a European cloud platform designed for building and deploying machine learning workloads. Based in Luxembourg, Alexander is known for his practical approach to solving real-world challenges faced by AI practitioners. He's especially focused on delivering user-centric, innovative solutions, and believes strongly in the importance of in-house R&D to drive product excellence and stay ahead in a fast-moving space.

Looking for CPQ solutions and expert advice? In this episode of the CPQ Podcast, we're joined by Julian Hodges, Co-Founder of Sneeyeg, a ServiceNow system integrator specializing in CPQ, billing, and enterprise transformation. With over 20 years of experience from Amdocs, CloudSense, and Salesforce, Julian shares invaluable insights on achieving CPQ success. Discover why strong governance and effective modeling are crucial, and how focusing on business outcomes drives project success. Julian also discusses AI/ML in CPQ for cross-sell and up-sell, the challenges of customization versus configuration, and why large enterprises trust Sneeyeg for CPQ leadership. Tune in for essential CPQ guidance! He also dives into: Sneeyeg's 100% focus on ServiceNow and partnerships with ISVs like Logik.ai and Aria Systems The challenges of customization vs. configuration in modern CPQ implementations How AI/ML is transforming CPQ—especially in cross-sell, up-sell, and retention strategies Why large enterprises in telco, tech, and utilities look to Sneeyeg for CPQ leadership What makes productization a smart move for services firms—and what Sneeyeg is planning next This episode is packed with real-world advice for CPQ professionals, ServiceNow customers, and anyone interested in scaling smarter with AI, governance, and business-led configuration.

Episode 382 of The @Venturefizz Podcast features Abe Murray, General Partner at AlleyCorp. I recently had Matthias Hofmann, the Co-Founder & CEO of Eyebot on the podcast and when I was doing my research on the company, I realized that their recent investment from AlleyCorp was led by one of their partners who was located in the Boston area. It made me pause, as I didn't realize that AlleyCorp had someone in the local Boston area. If you are not familiar with AlleyCorp, it is the venture fund started by Kevin Ryan who is a tech icon in NYC. Kevin led DoubleClick's growth to an IPO and acquisition by Google. He's also a co-founder of MongoDB, Business Insider, Zola, Gilt Groupe, and many others. AlleyCorp was backed as a family office by Kevin until last year when it became an institutional VC firm through the announcement of its $250M Fund I which includes outside LPs for the first time. Abe is leading AlleyCorp's deep tech investments, so it just makes sense that he is based in the the Boston area, as there is such a high concentration of innovation and companies in the Northeast. In this episode of our podcast, we cover: * Abe's background story which includes dropping out of high school to run fishing boats & factories in the family aquaculture business and the importance of growing up with a chip on your shoulder. * Starting his career at BAE Systems where he worked on Generative AI and advanced technologies for the defense industry. * Going to Harvard Business School and working on a startup called Doodbleboard, an online whiteboard. * Landing at Google, then later Alphabet, where he worked on various AI/ML initiatives, as well as the Android mobile team with Rich Miner. * Taking on the healthcare industry and leading the Boston office for Verily, an Alphabet company. * Getting into angel investing and how he landed at AlleyCorp. * All the details about AlleyCorp and the investments they are making across the firm, plus the specifics about what Abe is targeting. * The importance of storytelling and advice on how to get great at it. * And so much more. Eyebot interview: https://venturefizz.com/insights/episode-368-matthias-hofmann-co-founder-ceo-of-eyebot/

 ABOUT PRASHANT RAMARAOPrashant is a hands-on technology executive with extensive experience in software engineering, leading large organizations, specializing in AI / ML, and large-scale systems architecture. With advanced degrees in computer science and engineering leadership, he excels at defining technical strategies that align with business goals, delivering results, and fostering high-performing, cross-functional teams. He cares about engineering excellence, leveraging cutting-edge technology to solve complex problems and scale operations for long-term growth. He has a lifelong passion for learning and looks for opportunities to challenge the status quo to drive change. He loves the outdoors and is a self-proclaimed podaholic - going on long hikes in Bay Area while listening to his podcasts is one of his favorite activities.This episode is brought to you by Side – delivering award-winning QA, localization, player support, and tech services for the world's leading games and technology brands.For over 30 years, Side has helped create unforgettable user experiences—from indies to AAA blockbusters like Silent Hill 2 and Baldur's Gate 3.Learn more about Side's global solutions at side.inc. SHOW NOTES:Behind Prashant's rapid leadership evolution (3:26)Transitioning from IC to management: early steps and surprises (5:51)Navigating the mindset shifts from tech expert to people leader (7:31)Friction points in moving from informal to formal leadership (11:00)Skills for communicating with less technical audiences (13:46)Learning to talk with GMs & other non-technical leaders (16:32)Frameworks for effective meeting planning (19:03)Examples of communicating technical work to execs (20:08)Learning the impact of the “observer effect” (21:59)Incorporating feedback gathered by observing (27:03)Strategies for maintaining technical credibility as a senior leader (29:29)Why personal projects and experimentation matter for leadership growth (32:21)How Prashant's personal projects enhance technical credibility & leadership skills (36:59)Rapid fire questions (37:57)This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/

Demetrios and Mohan Atreya break down the GPU madness behind AI — from supply headaches and sky-high prices to the rise of nimble GPU clouds trying to outsmart the giants. They cover power-hungry hardware, failed experiments, and how new cloud models are shaking things up with smarter provisioning, tokenized access, and a whole lotta hustle. It's a wild ride through the guts of AI infrastructure — fun, fast, and full of sparks!Big thanks to the folks at Rafay for backing this episode — appreciate the support in making these conversations happen!// BioMohan is a seasoned and innovative product leader currently serving as the Chief Product Officer at Rafay Systems. He has led multi-site teams and driven product strategy at companies like Okta, Neustar, and McAfee. // Related LinksWebsites: https://rafay.co/~~~~~~~~ ✌️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 Mohan on LinkedIn: /mohanatreyaTimestamps:[00:00] AI/ML Customer Challenges[04:21] Dependency on Microsoft for Revenue[09:08] Challenges of Hypothesis in AI/ML[12:17] Neo Cloud Onboarding Challenges[15:02] Elastic GPU Cloud Automation[19:11] Dynamic GPU Inventory Management[20:25] Terraform Lacks Inventory Awareness[26:42] Onboarding and End-User Experience Strategies[29:30] Optimizing Storage for Data Efficiency[33:38] Pizza Analogy: User Preferences[35:18] Token-Based GPU Cloud Monetization[39:01] Empowering Citizen Scientists with AI[42:31] Innovative CFO Chatbot Solutions[47:09] Cloud Services Need Spectrum

I recently read a blog post on AI/ML performance on top of VCF, and figured it was time to invite Frank Denneman back to the podcast. During the episode we discuss VMware Private AI Foundation with NVIDIA, and Frank also mention Ollama as a great starting point.Disclaimer: The thoughts and opinions shared in this podcast are our own/guest(s), and not necessarily those of Broadcom, VMware by Broadcom, or SAP.

Industrial Talk is onsite at PowerGen 2025 and talking to Buddy Lee, Artificial Intelligence SME at Mesa Associates about "AI and Asset Management". Scott MacKenzie hosts an industrial podcast from Power Gen in Dallas, Texas, celebrating industry professionals and discussing innovations. Buddy Lee from Mesa Associates, an AI subject matter expert, shares his background in electrical engineering and reliability engineering. Buddy discusses the application of AI in asset management, particularly in detecting anomalies and predicting failures in industrial machinery. He highlights the importance of having a good data set for AI models, emphasizing the need for accurate and reliable data. Buddy also touches on the cultural challenges of implementing AI in industrial settings and the potential for AI to improve operational efficiency and reduce maintenance costs. Action Items [ ] Reach out to Buddy Lee to discuss further details on Mesa's AI-powered asset management solutions. [ ] Explore opportunities to instrument industrial equipment and collect relevant sensor data for AI/ML model development. [ ] Assess current maintenance practices and failure modes to determine if an FMEA-based AI approach could provide value. Outline Introduction and Welcome to Industrial Talk Podcast Scott MacKenzie introduces the Industrial Talk Podcast, emphasizing its focus on industry professionals and their innovations. Scott welcomes listeners to the platform, highlighting the importance of industry professionals in solving global problems. The podcast is broadcasting from Power Gen in Dallas, Texas, showcasing the latest innovations in the power generation industry. Scott mentions the excitement of the event and the opportunities to explore new technologies on the show floor. Introduction of Buddy Lee and His Background Scott introduces Buddy Lee from Mesa Associates, who has previously been a guest on the show. Buddy shares his background, mentioning his education at the University of Tennessee and Carson Newman College. Buddy discusses his degrees in church music, electrical engineering, MBA, and Masters of Engineering in reliability engineering. Scott notes Buddy's enthusiasm for Tennessee and his support for the University of Tennessee's football team. Discussion on Power Generation and AI in the Industry Buddy talks about his positive experience at the Power Gen conference, highlighting the technical information and new equipment available. They discuss the advancements in small modular reactors and AI in the hydro industry. Scott and Buddy touch on the role of AI in driving power demand, particularly in data centers. Buddy explains his role as the AI subject matter expert at Mesa Associates, focusing on industrial applications. Buddy's Thesis on AI Models and Data Sets Buddy shares his thesis on using AI models with limited data sets, specifically vibration analysis from a paper machine. He explains the process of comparing AI models to human analysts using a seven-year database of vibration data. Buddy highlights the accuracy of five AI models in predicting bearing failures, achieving 95% accuracy. Scott and Buddy discuss the differences between large language models and small data sets in AI applications. AI Applications in Industrial Asset Management ...