Podcasts about aws

Beniamin Mincu is a visionary entrepreneur rewriting the rules of business and technology as Founder & CEO of xMoney and MultiversX, one of the world's most advanced blockchain ecosystems. Starting from Romania with an ambition, grit, and a bold idea, he built a company that now works with AWS, Google Cloud, and even national governments. Connect with Beniamin Mincu:Website: https://multiversx.com/, https://www.xmoney.com/, https://xportal.com/ X: https://x.com/beniaminmincu LinkedIn: https://www.linkedin.com/in/beniaminmincu/ YouTube: https://www.youtube.com/@FullShardPodcast TurnKey Podcast Productions Important Links:Guest to Gold Video Series: www.TurnkeyPodcast.com/gold The Ultimate Podcast Launch Formula- www.TurnkeyPodcast.com/UPLFplusFREE workshop on how to "Be A Great Guest."Free E-Book 5 Ways to Make Money Podcasting at www.Turnkeypodcast.com/gift Ready to earn 6-figures with your podcast? See if you've got what it takes at TurnkeyPodcast.com/quizSales Training for Podcasters: https://podcasts.apple.com/us/podcast/sales-training-for-podcasters/id1540644376Nice Guys on Business: http://www.niceguysonbusiness.com/subscribe/The Turnkey Podcast: https://podcasts.apple.com/us/podcast/turnkey-podcast/id1485077152

Most sellers tend to get caught up in the technical side—asking the “right” questions, handling objections, and checking all the boxes. But in the process, we often overlook something just as important: the emotional side of selling. That's why I invited Alex Kremer, founder of Alluviance, to join me. He breaks down how the right mindset can help you close more deals and build lasting relationships.Meet Alex Kremer· Alex Kremer is the Founder of Alluviance, a community and organization dedicated to transforming sales and leadership through authenticity, purpose, and performance. · With over 15 years of experience, he has worked with top companies like Salesforce, AWS, and Gong, and played a key role in scaling Outreach from $25M to $250M. · He's hired, trained, and led over 100 Account Executives and Sales Managers, earning President's Club honors 7 years in a row.· Alex is known for helping leaders build high-performing teams and purpose-driven cultures that achieve lasting results.Beyond the Tactics: The Role of Mindset in Sales Success· Alex pulls back the curtain on his journey, opening up about the hidden struggles he faced even when he seemed most successful. · Despite hitting top quotas and leading major accounts at Microsoft, he battled depression, highlighting a key truth: salespeople can meet every external standard and still feel empty inside. · Alex explains how mental, emotional, and even spiritual health are often overlooked but absolutely crucial to sustainable, fulfilling sales success.Practical Strategies: Filling the Void and Mastering the Inner Game· Alex introduces the concept of “parts work,” a therapeutic approach to identifying and relating to various emotions without self-judgment. · He stresses the importance of self-awareness, inviting reps to treat their emotional states with the same curiosity as they would a sales prospect in discovery. · Simple practices like mindful breathing, walks without phones, and reflective journaling can create the internal space needed for clarity.Leadership in Action: Bringing Mindfulness Into Sales Teams· For sales leaders, Alex suggests starting meetings with grounding exercises such as box breathing or gratitude practices. · Investing a few minutes in presence and connection sets a more productive tone than jumping straight to numbers.“When you connect more deeply with yourself, it allows you to connect more deeply with other people, which is very interwoven with sales.” - Alex Kremer.ResourcesAlex's company, Alluviance, hosts regular retreats blending sales tactics with inner game work. Reach out to Alex on LinkedIn or the Alluviance website for future retreat details.Sponsorship Offers1. This episode is brought to you in part by Hubspot.With HubSpot sales hubs, your data tools and teams join a single platform to close deals and turn prospects into pipelines. Try it for yourself at hubspot.com/sales.2. This episode is brought to you in part by LinkedIn.Are you tired of prospective clients not responding to your emails? Sign up for a free 60-day trial of LinkedIn Sales Navigator at

AI Assisted Coding: Beyond AI Code Assistants: How Moldable Development Answers Questions AI Can't With Tudor Girba In this BONUS episode, we explore Moldable Development with Tudor Girba, CEO of feenk.com and creator of the Glamorous Toolkit. We dive into why developers spend over 50% of their time reading code—not because they want to, but because they lack the answers they need. Tudor shares how building contextual tools can transform software development, making systems truly understandable and enabling decisions at the speed of thought. The Hidden System: A Telco's Three-Year Quest "They had a system consisting of five boxes, but they could only enumerate four. If this is your level of awareness about what is reality around you, you have almost no chance of systematically affecting that reality." Tudor opens with a striking case study from a telecommunications company that spent three years and hundreds of person-years trying to optimize a data pipeline. Despite massive effort and executive mandate, the pipeline still took exactly one day to process data—no improvement whatsoever. When Tudor's team investigated, they asked for an architecture diagram. The team drew four boxes representing their system. But when Tudor's team started building tools to mirror this architecture back from the actual code, they discovered something shocking: there was an entire fifth system between the first and second boxes that nobody knew existed. This missing system was likely the bottleneck they'd been trying to optimize for three years. Why Reading Code Doesn't Scale "Developers spend more than 50% of their time reading code. The problem is that our systems are typically larger than anyone can read, and by the time you finish reading, the system has already changed many times." The real issue isn't the time spent reading—it's that reading is the most manual, least scalable way to extract information from systems. When developers read code, they're actually trying to answer questions so they can make decisions. But a 250,000-line system would take one person-month to read at high speed, and the system changes constantly during that time. This means everything you learned yesterday becomes merely a hypothesis, not a reliable answer. The fundamental problem is that we cannot perceive anything in a software system except through tools, yet we've never made how we read code an explicit, optimizable activity. The Context Problem: Why Generic Tools Fail "Software is highly contextual, which means we can predict classes of problems people will have, but we cannot predict specific problems people will have." Tudor draws a powerful parallel with testing. Nobody downloads unit tests from the web and applies them to their system—that would be absurd. Instead, we download test frameworks and build tests contextually for our specific system, encoding what's valuable about our particular business logic. Yet for almost everything else in software development, we download generic tools and expect them to work. This is why teams have tens of thousands of static analysis warnings they ignore, while a single failing test stops deployment. The test encodes contextual value; the generic warning doesn't. Moldable Development extends this principle: every question about your system should be answered by a contextual tool you build for that specific question. Tools That Mirror Your Mental Model "Whatever you draw on the whiteboard—that's your mental model. But as soon as the system exists, we want the system to mirror you back that thing. We make it the job of the system to show our mental model back to us." When someone draws an architecture diagram on a whiteboard, they're not documenting the system—they're documenting their beliefs about the system. The diagram represents wishes when drawn before the system exists, but beliefs when drawn after. Moldable Development flips this: instead of humans reading code and creating approximations, the system itself generates the visualization directly from the actual code. This eliminates the layers of belief and inference. Whether you're looking at high-level architecture, data lineage across multiple technologies, performance bottlenecks, or business domain structure, you build small tools that extract and present exactly the information you need from the system as it actually is. The Test-Driven Development Parallel "Testing was a way to find some kind of class of answers. But there are many other questions we have, and the question is: is there a systematic way to approach arbitrary questions?" Tudor explains that Moldable Development applies test-driven development principles to all forms of system understanding. Just as we write tests after we understand the functionality we need, we build visualization and analysis tools after we understand the questions we need answered. Both approaches share key characteristics: they're built contextually for the specific system, created by developers during development, and composed of many small tools that collectively model the system. The difference is that TDD focuses on functional decomposition and known expectations, while Moldable Development addresses architecture, security, domain structure, performance, and any other perspective where functional tests aren't the most useful decomposition. From Thousands of Features to Thousands of Tools "In my development environment, I don't have features. I have thousands of tools that coexist. Development environments should be focused not on what exists out of the box, but on how quickly you can create a contextual tool." Traditional development environments offer dozens of features—buttons, plugins, generic views. But Moldable Development environments contain thousands of micro-tools, each answering a specific question about a specific system. The key is making these tools composable and fast to create. Rather than building monolithic tools that try to handle every scenario, you build small inspectors that show one perspective on one object or concept. These inspectors chain together naturally as you drill down from high-level questions to detailed investigations. You might have one inspector showing test failures grouped by exception type, another showing PDF document comparisons, another showing cluster performance, and another showing memory usage—all coexisting and available when needed. The Real Bottleneck To Learning A System: Time to the Next Question "Once you do this, you will see that the interesting bottleneck is in the time to the next interesting question. This is by far the most interesting place to be spending energy." When you commoditize access to answers through contextual tools, something remarkable happens: the bottleneck shifts from getting answers to asking better questions. Right now, because answers come so slowly through manual reading and analysis, we rarely exercise the skill of formulating good questions. We make decisions based on gut feelings and incomplete data because we can't afford to dig deeper. But when answers arrive at the speed of thought, you can explore, follow hunches, test hypotheses, and develop genuine insight. The conversation between person and system becomes fluid, enabling decision-making based on actual evidence rather than belief. Moldable Development in Practice: The Lifeware Case "They are investing in software engineering as their competitive advantage. They have 150,000 tests that would take 10 days to run on a single machine, but they run them in 16 minutes distributed across AWS." Tudor shares a powerful case study of Lifeware, a life insurance software company that was featured in Kent Beck's "Test-Driven Development by Example" in 2002 with 4,000 tests. Today they have 150,000 tests and have fully adopted Moldable Development as their core practice. Their business model is remarkable: they take data from insurance companies, throw away the old systems, and reverse-engineer new systems by TDD-ing the business—replaying history to produce pixel-identical documents. They've deployed Glamorous Toolkit as their sole development environment across 100+ developers. Their approach demonstrates that Moldable Development isn't just a research concept but a practical competitive advantage that scales to large teams and complex systems. Why AI Doesn't Solve This Problem "When you ask AI, you will get exactly the same kind of answers. The answer comes quickly, but you will not know whether this is accurate, whether this represents the whole thing, and you definitely do not have an explanation as to why the answer is the way it is." In the age of AI code assistants, it might seem like language models could solve the problem of understanding systems. But Tudor explains why they can't. When you ask an AI about your architecture, you get an opinion—fast but unverifiable. Just like asking a developer to draw the architecture on a whiteboard, you receive filtered information without knowing if it's complete or accurate. Moldable Development, by contrast, extracts answers deterministically from the actual system. Software systems have almost no ambiguity in meaning—they're mathematical, not linguistic. We don't need probabilistic interpretation of source code; we need precise extraction and presentation. The tools you build give you not just answers but explanations of how those answers were derived from the actual system state. Scaling Through Language, Not Features "You need a new kind of development environment where the goal is to create tools much quicker. You need some sort of language in which to express development environments." The technical challenge of Moldable Development is enabling thousands of tools to coexist productively. This requires a fundamentally different approach to development environments. Instead of adding features—buttons and menu items that quickly become overwhelming—you need a language for expressing tools and a system for composing them. Glamorous Toolkit demonstrates this through its inspector architecture, where any object can define custom views that appear contextually. These views compose naturally as you navigate through your investigation, reusing earlier perspectives while adding new ones. The environment becomes a medium for tool creation, not just a collection of pre-built features. Making the Invisible Visible "We cannot perceive anything in a software system except through a tool. If that's so important, then the ability to control that shape is probably kind of important too." Software has no inherent shape—it's just data. Every perception we have of it comes through some tool that renders it into a form we can reason about. This means tools aren't nice-to-have accessories; they're fundamental to our ability to work with software at all. The text editor showing code is a tool. The debugger showing variables is a tool. But these are generic tools built once and reused everywhere, which means they show generic perspectives. What if we could control the shape of our software as easily as we write it? What if the system could show us exactly the view we need for exactly the question we have? That's the promise of Moldable Development. About Tudor Girba Tudor Girba is CEO of feenk.com and creator of Moldable Development. He leads the team behind Glamorous Toolkit, a novel IDE that helps developers make sense of complex systems. His work focuses on transforming how teams understand, navigate, and modernize legacy software through custom, insightful tools. Tudor and Simon Wardley are writing a book about Moldable Development which you can get at: https://moldabledevelopment.com/, and read more about in this Medium article. You can link with Tudor Girba on LinkedIn.

This is episode 791. Read the complete trancription on the Sales Game Changers Podcast website here. The Sales Game Changers Podcast was recognized by YesWare as the top sales podcast. Read the announcement here. FeedSpot named the Sales Game Changers Podcast at a top 20 Sales Podcast and top 8 Sales Leadership Podcast! Subscribe to the Sales Game Changers Podcast now on Apple Podcasts! Purchase Fred Diamond's best-sellers Love, Hope, Lyme: What Family Members, Partners, and Friends Who Love a Chronic Lyme Survivor Need to Know and Insights for Sales Game Changers now! On today's "Women in Sales Leadership," show, Center for Elevating Women in Sales Leadership President Gina Stracuzzi interviewed Dr. Kristen Johnson from AWS. She will be a presenter at the October 9 Women in Sales Elevation Conference. Register here to attend the event. Watch the video of this podcast on YouTube here. Find Kristen on LinkedIn.  KRISTEN'S TIP: "Women are uniquely positioned to help with this because we bring empathy, opportunity, and creativity to thrive in an environment where the shiver of sharks is coming so quickly. Our ability to step into leadership roles with AI is not only unprecedented, it's essential.”  

As cloud matures, could the hyperscale cloud providers start looking to acquire SaaS providers to build out a bundled application portfolio? Or are the demands of AI investment too much to pursue that strategy? SHOW: 964SHOW TRANSCRIPT: The Cloudcast #964 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.SHOW NOTES:Clouded Judgement (Jamin Bell)100 Biggest SaaS CompaniesCOULD THE CLOUD HYPERSCALERS START LOOKING TO ACQUIRE SAAS COMPANIES?Do the hyperscalers start acting like Private Equity to acquire SaaS revenue streams?Do the hyperscalers start moving from primitive providers to bundlers?Do the hyperscalers have to make a choice between AI/CAPEX investment and SaaS investment?Do the hyperscalers figure out a way to spin-off the AI/CAPEX portions of their business for a period of time?FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

On this episode of the Bob Ryan and Jeff Goodman NBA Podcast, Bob and Gary Tanguay discuss the latest AWS stats that will be used in NBA Broadcasts this season. They also discuss the latest moves in the NBA as training camp gets underway.  Bob Ryan and Jeff Goodman NBA Podcast is Powered by:

Steven Dickens doesn't understand why Amazon (AMZN) has been an underperformer in the Mag 7. He points to the company's ecommerce enterprise as unmatched, anticipating further acceleration heading into the holiday shopping season. It also has strong growth potential in A.I., says Steven, expecting Amazon's AWS cloud to drive much of the company's future growth. Tom White turns to the options front for Amazon.======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – / schwabnetwork Follow us on Facebook – / schwabnetwork Follow us on LinkedIn - / schwab-network About Schwab Network - https://schwabnetwork.com/about

On this episode of Screaming in the Cloud, Corey welcomes back Chris Weichel, CTO of Ona (formerly Gitpod). Chris explains the rebrand and why Ona is building for a future where coding agents, not just humans, write software.They discuss what changes when agents spin up environments, why multi-agent workflows feel addictive, and how Ona is solving the scaling and safety challenges behind it.If you're curious about the next wave of software engineering and how AI will reshape developer tools, this episode is for you.About Chris: Chris Weichel is the Chief Technology Officer at Ona (formerly Gitpod), where he leads the engineering team behind the company's cloud-native development platform. With more than two decades of experience spanning software engineering and human–computer interaction, Chris brings a rare combination of technical depth and user-centered perspective to the systems he helps design and build.He is passionate about creating technology that empowers people and tackling complex engineering challenges. His expertise in cloud-native architecture, programming, and digital fabrication has earned him multiple publications, patents, and industry awards. Chris is continually exploring new opportunities to apply his broad skill set and enthusiasm for building transformative technology in both commercial and research settings.Show Highlights(00:00) Introduction to Modern Software Interfaces(00:55) Welcome to Screaming in the Cloud(01:02) Introducing Chris Weichel and Ona(02:23) The Evolution from Git Pod to Ona(03:26) Challenges and Insights on Company Renaming(05:16) The Changing Landscape of Software Engineering(05:54) The Role of AI in Code Generation(12:04) The Importance of Development Environments(15:44) The Future of Software Development with Ona(21:31) Practical Applications and Challenges of AI Agents(30:01) The Economics of AI in Software Development(38:11) The Future Vision for Ona(39:41) Conclusion and Contact InformationLinks: Christian Weichel LinkedIn: https://www.linkedin.com/in/christian-weichel-740b4224/?originalSubdomain=deOna: https://ona.com/https://csweichel.de/Sponsor: Ona: https://ona.com/

The payments landscape is experiencing regulatory upheaval, forcing financial institutions to rethink their approach to money movement modernization. With ISO message format changes, Swift updates, and evolving fraud requirements hitting simultaneously, banks are facing a complex web of compliance demands that require immediate attention. "The regulatory agenda for money movement is probably one of the most aggressive we have," said Elaine Duff, SVP and Head of Money Movement at FIS. "It's across the globe. We're seeing the ISO message intended to help firms standardize their messaging, become more efficient, and make their operations much more standardized." Yet the scale of change extends far beyond simple messaging updates. The oncoming change affects fraud tools, digital channels, reporting formats, and entire operational workflows. For many institutions, the traditional rip-and-replace approach to modernization has become both financially and operationally untenable. Nick Dovaras, Global Account Manager at AWS, emphasized the broader pressures driving urgency: "There's customer expectations as well. Customers are expecting 24/7, instant, and customer-friendly mobile applications that are connected to online systems.” Dive into this episode to hear about how financial institutions are navigating regulatory pressures through modular modernization strategies. FIS' Duff and AWS' Dovaras break down the critical role embedded fraud protection is playing in real-time payments, and why cloud-based solutions are enabling banks to modernize their money movement capabilities without the risks of traditional rip-and-replace approaches.

John Skinner of Vectra AI shares how cyber attackers are democratizing sophisticated attacks using dark web tools, and why AI-powered hybrid defense is now essential for enterprise security.Topics Include:Vectra AI: 13-year-old cybersecurity company founded as "AI native" from day oneBuilt on machine learning assumption while competitors treated AI as afterthoughtGenerative AI represents the latest evolution in their comprehensive AI journeyStarted pairing threat researchers with ML developers to codify attack behaviorsAdded agentic AI in 2018 for correlation across space and timeUses AWS Security Lake, GuardDuty, and recently became AWS Bedrock customerSuccess measured by reducing "dwell time" from initial attack to detectionAchieved 60% faster alerts, 51% faster monitoring, 50% faster investigation timesCustomers should evaluate vendor's data science quality and algorithm training yearsEvolved hybrid defense approach as attacks start anywhere, go everywhereAI handles high-volume correlation while humans focus on analytical decisionsFuture challenge: democratized cyber attacks using readily available dark web toolsParticipants:John Skinner – Vice President Corporate/Business Development, Vectra AIFurther Links:Vectra AI: Website – LinkedIn – AWS Marketplace - YouTubeSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In today's Cloud Wars Minute, I examine how Christian Klein's stance could shift the entire European tech economy away from imitation toward AI-driven transformationHighlights00:20 — A few months ago a lot of countries within Europe were saying, “What we need to do is build hyperscalers to match the ones based in the U.S.” Now, SAP CEO Christian Klein stood up and said, “That's nuts. Let's not do that. There's a very different way to go on this.” And over the past few weeks, we've seen some significant investments coming from SAP.01:12 — The investments are great, and all those ideals about wanting to have data privacy, data security, all valid in the AI Revolution. What really stood out here, more than these investments, was: think about what might have happened had the European Union spent trillions of dollars to keep up with the hyperscalers.02:10 — SAP has a whole new plan for the sovereign cloud. Its Executive Board Member Thomas Saueressig has been involved in this. He said, “We want to have a sovereign cloud that gives the greatest safeguards and compliance to customers, and also gives them a great deal of choice. We want to keep this open for lots of partners to work with us.” But that's the direction it's taking. 03:13 — So, we've got SAP pledging to invest, over the next few years, $22 billion in its sovereign cloud. Just the other day, I noted something about how Oracle, Microsoft, and OpenAI—now it's about a trillion dollars that they're pumping into these AI data centers. That's really not the place for the European economy to go. And I give Christian Klein credit:.04:14 —SAP partner AWS has now pledged about $8.5 billion for the AWS European Sovereign Cloud. I also thought it was interesting that SAP Chief Technology Officer Philipp Herzig came said, “We've got cloud sovereignty, we've got data sovereignty—now we need to be sure that SAP is a leader in AI sovereignty.”05:00 — So, fascinating time here on the technology front. I think SAP is going to continue to do very well with its sovereign cloud efforts. But I think even more than that, its CEO, Christian Klein, really stood out. He did a great service by getting them off of this idea of imitating what's already been done. Visit Cloud Wars for more.

Before Siri had sass and Alexa started judging your music taste, the original virtual assistant was quietly revolutionizing the '90s—powered by many patents and a whole lot of foresight. Now, as AI goes from buzzword to boss, we ask, will it transform your job, your home… or just steal your knowledge?  This week, Dave, Esmee and Rob speak with Kevin Surace, Futurist, Inventor & "Father" of the Virtual Assistant, about exploring the evolution of AI, what the future might hold, and how disruptive innovation can shake up your organization in ways you might not expect.   TLDR: 00:40 – Introduction of Kevin Surace 05:12 – Rob gets confused by Google Maps reviews and selfies 08:15 – Deep dive into the evolution of AI with Kevin 52:00 – How intelligent agents can help manage digital noise and support mental well-being 1:07:30 – Wrapping up the book the Joy Success Cycle and heading to a concert  GuestKevin Surace: https://www.linkedin.com/in/ksurace/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini 

Loxo's Founder & CEO, Matt Chambers, hosted a recent webinar on Natural Language Search — and it was so good, we had to share it on the pod.So...What is Natural Language Search (NLS)? Basically: Instead of writing complex Boolean queries, you can type exactly what you need in plain English, e.g “senior software engineer with Python and AWS experience in Austin.” From there, Loxo's AI interprets your intent, searches your own database and our network of 1.2 billion professional profiles, and delivers the most relevant candidates — including hidden gems you might otherwise miss.Check out this episode to hear it from Matt directly — and listen as he conducts searches using NLS!Explore all our episodes and catch the full video experience at loxo.co/podcastsBecoming a Hiring Machine is brought to you by Loxo. To discover more about us, just visit loxo.co 

In this episode of Weld Wednesday with AWS, I sit down with Kevin Johnson, host of the Welding Business Owners Podcast, owner of JAMW Fabrication, and mastermind behind the Fabricator Olympics. Kevin shares lessons learned from starting his welding business, the importance of outsourcing, developing standard operating procedures, and finding a profitable niche. We also dive into customer management, quoting jobs effectively, and maintaining work-life balance while running a shop. Plus, Kevin gives us a behind-the-scenes look at the growing Fabricator Olympics, including exciting new events for 2025. Whether you're a seasoned shop owner or dreaming of starting your own business, this conversation is packed with valuable insights.   For more information on AWS Click Here Follow kevin on Instagram and Check out his Podcast Here

Network automation has a data problem. Traditional tools may hit limitations when managing complex infrastructure relationships. We explore how OpsMill’s InfraHub uses graph databases and temporal versioning to create what our guest calls “the knowledge graph of infrastructure” – enabling true version control at the database level while maintaining the flexibility to model anything from... Read more »

The Industry Relations Podcast is now available on your favorite podcast player!  Overview Rob and Greg return to break down CMLS 2025 in Toronto, offering their candid takes on the good, the bad, and the ugly of the event. From bold leadership discussions and MLS operational shifts to vendor frustrations and AI speculation, they cover the hot topics shaping the industry. The episode also dives into the Compass/Anywhere merger, vendor challenges, and how AI may (or may not) reshape real estate. Key Takeaways CMLS 2025 Recap: Despite venue issues, the conference featured strong panels on MLS operations and leadership . Bold Leadership: Key discussions included separating associations and MLSs, technology shifts like AWS migration, and communication strategies for major decisions  Compass/Anywhere Merger: MLS execs showed a pragmatic stance, with little immediate panic over the deal . Vendor Struggles: Vendors continue to face slow MLS sales cycles, entrenched incumbents, and a “glacial pace” of change . AI's Role: Debate on whether AI will increase the number of realtors (2 million by 2030?) or simply change workflows in MLS operations and compliance . Opendoor's AI Push: Skepticism over Opendoor's “AI-first” pivot, with questions about what it really means for flipping houses   Links Friday Flash: The coming Realtor boom Letter from The Realty Alliance to CMLS Kaz Nejatian X post on "AI Native" with Greg's reply   Connect with Rob and Greg Rob's Website  Greg's Website    Watch us on YouTube   Our Sponsors: Cotality  Notorious VIP The Giant Steps Job Board    Production and Editing Services by Sunbound Studios

Vice President of Engineering James Musson reveals how Lucanet integrated multiple acquired solutions into a unified platform, achieving 3-month integration timelines while serving 6,000+ customers.Topics Include:Lucanet evolved from financial consolidation tool to comprehensive CFO solution platformPlatform covers consolidation, planning, ESG reporting, tax compliance, and cash managementThree key differentiators: easy to use, fast time-to-value, innovative AI featuresAI-powered XBRL tagging reduces days of manual work to minutes with 90% accuracyComplex challenge: integrating multiple acquired tech stacks with cloud-native platform developmentBuilt micro front-end architecture and platform services for seamless user experienceCustom control plane automates customer onboarding and manages rolling upgrades safelyLatest acquisition integrated into platform within three months, unprecedented speedStrong company culture focuses on innovation, hackathons, and continuous learningAI bootcamps and tech lunch sessions keep 6,000+ customer engineering teams engagedBalances AI innovation with regulatory compliance using deterministic core processesHeavy AWS adoption with serverless technologies handles peaky financial reporting workloadsParticipants:James Musson – Vice President, Engineering, LucanetFurther Links:Lucanet: Website – LinkedInSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

This week on The Data Stack Show, Alexander Patrushev joins John to share his journey from working on mainframes at IBM to leading AI infrastructure innovation at Nebius, with stops at VMware and AWS along the way. The discussion explores the evolution of AI and cloud infrastructure, the five pillars of successful machine learning projects, and the unique challenges of building and operating modern AI data centers—including energy consumption, cooling, and networking. Alexander also delves into the practicalities of infrastructure as code, the importance of data quality, and offers actionable advice for those looking to break into the AI field. Key takeaways include the need for strong data foundations, thoughtful project selection, and the value of leveraging existing skills and tools to succeed in the rapidly evolving AI landscape. Don't miss this great conversation.Highlights from this week's conversation include:Alexander's Background and Early Career at IBM (1:06)Moving From Mainframes to Virtualization at VMware (4:09)Transitioning to AWS and Machine Learning Projects (8:22)What Was Missed From Mainframes and the Rise of Public Cloud (9:03)Security, Performance, and Economics in Cloud Infrastructure (12:40)The Five Pillars of Successful Machine Learning Projects (15:02)Choosing the Right ML Project: Data, Impact, and Existing Solutions (18:01)Real-World AI and ML Use Cases Across Industries (19:42)Building Specialized AI Clouds Versus Hyperscalers (22:08)Performance, Scalability, and Reliability in AI Infrastructure (25:18)Data Center Energy Consumption and Power Challenges (28:41)Cooling, Networking, and Supporting Systems in AI Data Centers (30:06)Infrastructure as Code and Tooling in AI (31:50)Lowering Complexity for AI Developers and the Role of Abstraction (34:08)Startup Opportunities in the AI Stack (38:53)When to Fine-Tune or Post-Train Foundation Models (43:41)Comparing and Testing Models With Tool Use (47:49)Skills and Advice for Entering the AI Field (49:18)Final Thoughts and Encouragement for AI Newcomers (52:31)The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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

Recorded in front of a packed room at NYU's Kimmel Center during Climate Week NYC, Ed Crooks and Amy Myers Jaffe moderate a debate on the high-stakes topic of AI and energy. They dig deep into the questions raised by the surge of investment in data centers: what it means for grid stability and electricity bills, and how new technologies and market structures can help the power industry adapt.Climate Week this year often felt more like AI Week, given how many discussions were centred around it. To explore the issues, the team Ed and Amy are joined by representatives of two of the key companies at the heart of the revolution. Josh Parker is Head of Sustainability at NVIDIA, and Craig Sundstrom is Head of Energy & Sustainability Policy at AWS. Xizhou Zhou, Wood Mackenzie's Head of Power and Renewables, also joins the discussion, to add his perspectives on how the industry is changing The load shock is real. Xizhou says that more than 116 GW of US data centers are under construction or fully committed to interconnect in the next few years: equivalent to about 15% of US peak load today. After two decades of flat demand, the electricity industry must rebuild its muscle memory for rapid infrastructure build-out. US power prices went up 6% in the past year, with rates in some states going up far more. What is driving that surge? And what can be done to provide some relief for hard-pressed consumers? One answer comes from rapid progress in the technologies that make AI possible, including the chips. NVIDIA's Josh Parker notes NVIDIA has cut energy use for inference tasks by 100,000× over the past decade ,and by about 30× in just the past two years. Craig from Amazon explains how new grid-enhancing technologies could quickly make a difference, pointing to an AWS/RMI study showing that 6.5 GW of extra capacity could be freed up on the PJM grid without building any new transmission lines. He adds that AI is already helping in California, where smart battery dispatch is cutting costs in real time. Data centers don't only use electricity for computation: they create a lot of heat, too. Josh says there are ways to use that heat, and describes Scandinavian projects that use it for their local district heating networks. With geothermal and new small modular reactors unlikely to reach widespread deployment until well into the 2030s, the panel agrees that the real solutions in the next few years lie in upgrading transmission, expanding storage, redesigning rates, and building in flexibility.It's a busy and lively discussion, with a couple of questions from the audience answered by the panel. If you have any further questions or comments on the show, we'd love to hear them. You can comment on Spotify, leave a review on Apple Podcasts, or find us on YouTube and leave a comment there. Thanks!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In today's Cloud Wars Minute, I explore how Microsoft and Oracle are battling for AI data center supremacy.Highlights00:15 — I want to talk about a couple of high-disruption companies — actually, three: Microsoft, Oracle, and OpenAI. And I think right now, it's safe to say that those three companies, together with SoftBank, are pursuing investments upwards of a trillion dollars in what they're calling AI data centers. I think this is a great thing for them to do.01:19 — Microsoft has become more vocal about its role and leadership in these areas. Oracle, OpenAI, and SoftBank are jointly building what is called Stargate, sort of the infrastructure brand for OpenAI. Now, Microsoft has introduced its own brand for its AI data centers, Fairwater. It's in the final stages of building what it is calling the world's most powerful AI data center.02:18 — And I have no doubt that fairly soon, we're going to hear from Google Cloud about some of its plans. I am less sanguine, in some ways, about what Amazon and AWS might do. I know that runs contrary to what a lot of people like to say — that AWS is still the king of the cloud. I haven't — you know, I just haven't taken that seriously in the last two or three years.03:14 — So, Microsoft is doing very well with AI. Now, OpenAI, led by Sam Altman — they're still doing some work with Microsoft on the cloud and AI. But it's putting — starting in a year or two — a $300 billion investment with Oracle to build a chain of just absolutely staggeringly big, powerful data centers under the Stargate name.04:09 — It'll work with Oracle very closely on that. They're also — in concert in some places and separately in others — pursuing some new data center deals with SoftBank. So OpenAI is working with Microsoft, working with Oracle, working with SoftBank — all in different ways. Oracle also has its own data center network for its rapidly growing cloud and AI business.05:01 — So lots of talk right now, lots of action, lots of investment going into this. But ultimately, the beneficiaries of all this incredible — what I think is unprecedented — competition, will be businesses and regular individuals like you and me. Visit Cloud Wars for more.

In this episode of AWS Executive Insights, Tanuja Randery, VP and Managing Director of EMEA for AWS interviews Darren O'Kelly, CEO of Untold Studios, a next-generation creative powerhouse that has earned BAFTA and Grammy nominations for its groundbreaking work across advertising, music, and film. The conversation explores O'Kelly's journey from traditional VFX production to co-founding an entirely cloud-based creative studio that launched in just six weeks, challenging industry conventions with projects ranging from Super Bowl commercials to Netflix's "The Crown." O'Kelly shares his leadership philosophy of combining "two-thirds experience and one-third naivety," discussing how this approach has enabled Untold Studios to build a culture of excellence that attracts global talent, including major artists like Adele, Billie Eilish, and Oasis. The discussion also delves into the impact of AI and emerging technologies on the creative industry, O'Kelly's commitment to mentorship and diversity, and his vision for the future of storytelling.

Vercel's COO Jeanne DeWitt Grosser, talks with TITV Host Akash Pasricha about the company's $300M series F funding round and its aspirations to become the "AWS of AI." We also talk with Warp's Zach Lloyd and Zencoder's Andrew Filev about their first reactions to the new Claude Sonnet 4.5 model. The Information's Theo Wayt breaks down the latest xAI org chart shake-ups, and we also get into AI agents with AWS's Director of Technology, Shaown Nandi.Articles discussed on this episode:https://www.theinformation.com/articles/people-running-elon-musks-xaiTITV airs on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Subscribe to: - The Information on YouTube: https://www.youtube.com/@theinformation4080/?sub_confirmation=1- The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agenda

Mardi 30 septembre, Frédéric Simottel a reçu Michel Lévy-Provençal, prospectiviste, fondateur de TEDxParis et de l'agence Brightness, Enguérand Renault, consultant chez Image 7 et ancien journaliste au Figaro, ainsi que Clément David, président de Theodo Cloud. Ils se sont penchés sur le lancement de Claude Sonnet 4.5, le meilleur modèle au monde pour la programmation par Anthropic, le recrutement de l'ancien patron d'Arianespace par AWS, et le soutien financier de Londres à Jaguar Land Rover après la paralysie causée par la cyberattaque, dans l'émission Tech & Co, la quotidienne, sur BFM Business. Retrouvez l'émission du lundi au jeudi et réécoutez-la en podcast.

Fredrik snackar med Mattias Karlsson om Javaforums och Jfokus historia och nutid. Hur blir man plötsligt arrangör för en stor årlig konferens på bara 18 år? Mattias berättar om Javaforums historia och hur meetups har förändrats över tid. Därifrån kommer vi naturligt in på Jfokus och dess historia. Det började med småbarn. Bland annat avhandlas att hitta och välja talare - Mattias delar med sig av flera bra tips för dig som funderar på att ansöka till konferenser. Det handlar inte bara om att vara klatschig och sticka ut! Vi diskuterar också att få ut mer av konferenser, läskiga teknikproblem, och hur mycket jobb det egentligen är att arrangera evenemang för utvecklare. Avsnittet sponsras av Ellipsis: vi (okej, Fredrik) kan klippa din podd och få den att låta lika bra som Kodsnack! Med mer än tio år och 1200 avsnitts erfarenhet kan Ellipsis få din podd redigerad, kapitelförsedd och utrustad med en solid länklista på ett effektivt och professionellt sätt. Ett stort tack till Cloudnet som sponsrar vår VPS! Har du kommentarer, frågor eller tips? Vi är @kodsnack, @thieta, @krig, och @bjoreman på Mastodon, har en sida på Facebook och epostas på info@kodsnack.se om du vill skriva längre. Vi läser allt som skickas. Gillar du Kodsnack får du hemskt gärna recensera oss i iTunes! Du kan också stödja podden genom att ge oss en kaffe (eller två!) på Ko-fi, eller handla något i vår butik. Länkar Mattias Javaforum Sun Café opera AWS summit Ivar som driver Javaforum i Malmö Mikael Tiberg och Foo café i Malmö Jfokus Stockholm waterfront Slagthuset i Malmö Sessionize Spring Broadcom Ellipsis - låt Fredrik klippa din podd! Rekommendationen kommer från Underjords Lars Wikman som Fredrik klippte Regular programming åt Javazone i Norge Foss-north Full stack fest Matz, skapare av Ruby Filmstaden Sergel Electrum i Kista Titlar Umgås med vårt skrå Gratis mat på Café opera Ett mer oberoende Javaforum På neutral plats Jobbigt att resa iväg Mjölk som kokar Som en lök Hundra talarslots En chans på tio Begriplig och intressant Tusen personer i publiken Alla vill ju att du ska lyckas Gå på någonting som känns helt off Jag behöver inte välja själv En tolk i en box Lugnt ut på ytan

Client SDKs: Die schöneren APIs?APIs sind das Rückgrat moderner Softwareentwicklung, doch wer kennt nicht das Dilemma? Die API ändert sich, Fehlermeldungen stapeln sich im Postfach, und plötzlich hängt dein Workflow am seidenen HTTP-Thread. Genau dort kommen Client SDKs ins Spiel. Sie machen aus kryptischen API-Endpunkten handliche, sprachnahe Werkzeuge, die dir nicht nur Nerven, sondern auch Zeit sparen.In dieser Episode schauen wir hinter die Kulissen der SDK-Entwicklung. Wir sprechen aus Maintainer-Perspektive über Supportdruck, Burnout und die (oft unterschätzte) Verantwortung in Open Source. Gleichzeitig tauchen wir tief in die Praxis ein: Was ist ein Client SDK genau? Wann lohnt sich Handarbeit, wann die Code-Generation? Warum ist idiomatisches SDK-Design mehr als nur Style – und weshalb boosten einige SDKs wie das von Stripe oder AWS sogar den wirtschaftlichen Erfolg ganzer Unternehmen?Gemeinsam werfen wir einen Blick auf Architektur, Best Practices, Edge Cases, Testing, Dokumentation und Wartung. Und natürlich diskutieren wir, wann ein SDK wirklich sinnvoll ist – und in welchen Fällen du lieber einen simplen HTTP-Aufruf selbst schreibst.Bonus: Wieso Atlassian Merch statt Sponsoring schickt.Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:

AWS Morning Brief for the week of September 29th, 2025, with Corey Quinn. Links:You can now preview Amazon S3 Tables in the S3 consoleAWS Organizations supports full IAM policy language for service control policies (SCPs)Amazon Route 53 Resolver Query Logging now available in Asia Pacific (New Zealand)A guide to reducing waste and improving efficiency with AWSAmazon RDS announces cross-Region and cross-account snapshot copyAWS announces EC2 instance attestationHumane World for Animals uses AWS to scale global animal welfare programs deprecating its SOAP APIPrompt Library | AWS StartupsAWS named as a Leader in the 2025 Gartner Magic Quadrant for AI Code Assistants

Send us a textMargins on Amazon are being squeezed as competition rises and ads dominate every listing. This video explains how ad saturation, FBA changes, and shifting strategies are shaping the seller experience. Sellers will learn what to expect as Amazon prioritizes paid ads, AI tools, and digital revenue streams.Stop letting ads drain your profits, book a call today to build a smarter Amazon ad strategy: https://bit.ly/4jMZtxu#AmazonAds #AmazonMargins #PayToPlay #AmazonSelling #ecommercetips Watch these videos on YouTube:Amazon PPC Tier List Management Rankings https://www.youtube.com/watch?v=m9s9vjtU5l4&list=PLDkvNlz8yl_a1PRDJWRoR4yIM8K5Ft569&utm_content=342357286&utm_medium=social&utm_source=youtube&hss_channel=ytc-UClUSEsDS2sdgNJfCcCM_5UwWhy Turning Off Ads Kills Sales and Rankings on Amazon: https://www.youtube.com/watch?v=fp5fCd0i7ts&list=PLDkvNlz8yl_a1PRDJWRoR4yIM8K5Ft569&index=2&utm_content=342357286&utm_medium=social&utm_source=youtube&hss_channel=ytc-UClUSEsDS2sdgNJfCcCM_5Uw-----------------------------------------------Tired of marketplace limits? Let's talk real growth with DTC strategy: https://bit.ly/4kOz6rrStop wasting ad spend. Grab the PPC guide that actually drives results: https://bit.ly/4lF0OYXRank higher and sell faster, get the SEO tools built for real growth: https://bit.ly/3JyMDGoBe ready before problems hit, download the kit every brand should have: https://bit.ly/4maWHn0Timestamps00:00 - Margins Squeezed and Pay-to-Play on Amazon00:18 - Amazon's Shift from AWS to Ads00:36 - Why FBA Prep Service Removal Matters01:07 - Ad Saturation: 1,032 Ads on a Single Listing01:37 - Competing for Visibility vs. DTC Websites02:54 - Why Sellers Must Maximize A+ Content03:56 - Remembering Cheap PPC Clicks from 10 Years Ago04:20 - Will Amazon PPC Costs Reach $40+ Per Click?04:39 - Why Walmart Isn't Competing with Amazon05:38 - The Future Role of AI in Online Shopping06:43 - Why Consumers Don't Trust AI Shopping Yet07:51 - Why AI Assistants Like Alexa Failed for Purchases08:13 - How AI Is Transforming Coding Instead08:22 - Why Regular Shoppers Won't Adopt AI Shopping Fast----------------------------------------------Follow us:LinkedIn: https://www.linkedin.com/company/28605816/Instagram: https://www.instagram.com/stevenpopemag/Pinterest: https://www.pinterest.com/myamazonguys/Twitter: https://twitter.com/myamazonguySubscribe to the My Amazon Guy podcast: https://podcast.myamazonguy.comApple Podcast: https://podcasts.apple.com/us/podcast/my-amazon-guy/id1501974229Spotify: https://open.spotify.com/show/4A5ASHGGfr6s4wWNQIqyVwSupport the show

Ryan Doran is a Partner in Lead Creative and Head of UI/UX for Turkois, with over 17 years of experience in monetization strategy, payments, and scaling technology businesses.  Danny Smith is a Solution Architect at Stripe, working on AI-driven commerce innovations and partnering with AWS. In this episode, Ryan and Danny explore the critical intersection of pricing strategy and payment infrastructure, discussing how AI is transforming both the mechanics of pricing implementation and the challenge of pricing AI products themselves.   Why you have to check out today's podcast: Understand the difference between billing systems and payment systems and how they work together. Learn why flexible technical infrastructure is essential for modern pricing strategies. Discover how AI is enabling hyper-personalized shopping experiences with built-in guardrails.   "Your pricing strategy is only as good as the background tech that you have to operationalize it. If you have a legacy monolithic stack and you can come up with these great strategies, but it takes you six months to implement that strategy, then you've probably been left behind already." – Danny Smith   Topics Covered: 02:15 - How Ryan got into pricing through product development and payment flows. 04:30 - Danny's journey from cloud architecture to payments infrastructure. 06:45 - The difference between billing systems and payment systems. 10:20 - Why new billing companies continue to emerge despite established players. 14:15 - How AI is accelerating data utilization in pricing decisions. 17:30 - The dual challenge: using AI for pricing vs. pricing AI products. 19:45 - Hyper-personalized shopping with AI agents and built-in guardrails. 23:10 - The ethical concerns of "sleazy price segmentation" and AI pricing. 28:40 - Agent-to-agent negotiations and policy engines. 31:20 - How AI products are changing pricing models: tokens, credits, and hybrid approaches. 35:15 - Creating "action units" to translate technical complexity into business value.   Key Takeaways: "Data is basically the new margin. What you can do with it is only gaining in value." - Ryan Doran "We've implemented API level technology that will create a budget... and it will create a virtual debit card on the backend for that exact amount, tied to today as an expiration date, tied to that particular transaction." - Danny Smith   People / Resources Mentioned: Turkois: https://turkois.io/ Vanilla POS: https://vanillapos.io/ Stripe: https://stripe.com Perplexity: https://www.perplexity.ai/ OpenAI: https://openai.com/ Chargebee, Chargeify, Zora: Alternative billing platforms MCP Server: Technology enabling AI agents to interact with Stripe for dynamic pricing   Connect with Ryan Doran: Website: https://turkois.io/ Email: ryan@turkois.io   Connect with Danny Smith: Contact through Ryan Doran   Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving/ Email: mark@impactpricing.com  

Learn how Trellix transformed into a cloud-first security leader through strategic AWS partnership, generating $500M+ pipeline and winning major enterprise deals like Airbus.Topics Include:Trellix's transformation: From legacy McAfee/FireEye to cloud-first cybersecurity solutions with AWSPartnership lessons: How AWS enabled 27-year-old ePolicy Orchestrator's successful cloud migration journeyLegacy transition advice: Embrace innovation, don't follow the "Sears model" of resisting changeAI go-to-market strategy: Dev days, marketplace usage, and Bedrock/Nova integrations driving customer adoptionCustomer AI concerns: Addressing data security fears and proving AI doesn't train on customer dataIntegration philosophy: XDR connects with AWS native services and even competitor tools seamlessly$12M Airbus win: Six-country enterprise deal showcasing collaborative sales across AWS teams and marketplaceFuture opportunities: AI-powered threat detection innovations and $500M+ pipeline through AWS marketplaceParticipants:Taylor Mullins - Sr. Solutions Architect, TrellixBrian Shadpour - General Manager, Security B2B Software Sales, Amazon Web ServicesFurther Links:Trellix: Website – LinkedIn – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In this episode of No Password Required, host Jack Clabby and guest host Sarina Gandy discuss the insights gained from their conversation with Demarcus Williams, a senior security engineer at Starbucks. They explore Demarcus's journey into cybersecurity, the importance of competitions like CCDC in career development, and the role of gut instinct in cybersecurity. The discussion also touches on the differences between corporate cultures, the significance of mentorship, and the fun aspects of the cybersecurity community, including a light-hearted lifestyle polygraph segment. TakeawaysDemarcus' curiosity about video games sparked his interest in cybersecurity.The transition from defense contracting to corporate roles offers broader access to tools.Gut feelings play a significant role in cybersecurity decision-making.Competitions like CCDC are crucial for career development in cybersecurity.Networking at competitions can lead to job opportunities.Corporate culture varies significantly between government contracting and tech companies.A people-first approach is essential in mentorship and cybersecurity.The red team experience enhances skills applicable to day-to-day work.Work-life balance is crucial in maintaining a sustainable career in cybersecurity.Engaging with the community is vital for personal and professional growth. Chapters00:00 Introduction to Cybersecurity and Curiosity02:47 Day-to-Day Life of a Senior Security Engineer05:30 The Role of Gut Instinct in Cybersecurity08:31 Early Inspirations and the Journey into Cybersecurity11:35 The Importance of Competitions in Career Development14:33 Transitioning from Student to Professional17:34 The Red Team Experience and Its Impact20:25 Recruitment Opportunities in Cybersecurity Competitions23:33 Navigating Corporate Culture in Cybersecurity26:31 Mentorship and People-First Approach29:11 Lifestyle Polygraph and Fun Insights

In this episode of Beyond the Code, Yitzy sits down with Steve Epstein — a distinguished systems/cybersecurity & AI engineer with roots at Bell Labs (alongside Peter Shor & Lov Grover), decades at NDS/Cisco/Synamedia, and currently working at Rafael, in Israel's defense sector.Steve explains, in plain English, why quantum computing threatens today's internet (RSA, ECDH, ECDSA), what Q-Day means, and when [it might be] coming, and how post-quantum cryptography (PQC) must be rolled out across clouds, hardware, supply chains, and especially blockchains.We cover the journey from satellite-TV smart cards and anti-piracy cat-and-mouse, to Netflix's cloud migration and account-sharing detection (one of Steve's 40–50 patents), to the stark reality of “harvest-now, decrypt-later”. Bottom line: crypto agility and PQC migration have to start now if we want banking, messaging, and crypto ledgers to survive the 2029–2035 Q-Day window.Topics & Timestamps00:00 Intro — who is Steven Epstein (Bell Labs → NDS/Cisco → Rafael; 40–50 patents)07:45 Smart cards, satellite TV security, and why hardware upgradability mattered12:20 Cloud era: Netflix, AWS, microservices — and the collapse of legacy pay-TV models18:45 Piracy at scale: finding and knocking down illegal streams (and why it barely works)23:30 Quantum 101: Shor's algorithm, RSA/ECDH/ECDSA risk, Q-Day timelines31:40 PQC overview: Kyber, Dilithium, Falcon, SPHINCS+, HQC; crypto-agility in practice36:50 Harvest-now/decrypt-later and why blockchains are uniquely exposed41:50 Migration realities: cars, routers, military systems, supply chains47:30 What to do now: prioritize PQC for wallets, ledgers, key exchanges, and messaging

The AI lab rivalry is heating up as rumors swirl about Gemini 3 and Anthropic 4.5. Anthropic faces reputational struggles after coding model stumbles and political headwinds, while OpenAI's GPT-5 Codex is winning back developers. Meanwhile, Google has strong momentum, Microsoft is charting a distributed strategy, and Amazon is re-emerging through AWS, setting the stage for a volatile fall in foundation model competition. Brought to you by:Is your enterprise ready for the future of agentic AI?⁠⁠⁠⁠Visit AGNTCY.org⁠⁠⁠⁠⁠⁠⁠⁠Visit Outshift Internet of Agents⁠⁠⁠⁠Try Notion AI today with Notion 3.0 ⁠⁠⁠⁠https://ntn.so/nlw⁠⁠⁠⁠KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? nlw@aidailybrief.ai

Security leaders from CyberArk, Fortra, and Sysdig share actionable strategies for securely implementing generative AI and reveal real-world insights on data protection and agent management.Topics Include:Panel explores practical security approaches for GenAI from prototype to productionThree-phase framework discussed: planning, pre-production, and production security considerationsSecurity must be built-in from start - data foundation is criticalUnderstanding data location, usage, transformation, and regulatory requirements is essentialFortra's security conglomerate approach integrates with AWS native tools and partnersMachine data initially easier for compliance - no PII or HIPAA concernsIdentity paradigm shift: agents can dynamically take human and non-human roles97% of organizations using AI tools lack identity and access policiesSecurity responsibility increases as you move up the customization stackOWASP Top 10 for GenAI addresses prompt injection and data poisoningRigorous model testing including adversarial attacks before deployment is crucialSysdig spent 6-9 months stress testing their agent before production releaseTension exists between moving fast and implementing proper security controlsDifferent security approaches needed based on data sensitivity and model usageZero-standing privilege and intent-based policies critical for agent managementMulti-agent systems create "Internet of Agents" with exponentially multiplying risksDiscovery challenge: finding where GenAI is running across enterprise environmentsAPI security and gateway protection becoming critical with acceptable latencyTop customer need: translating written AI policies into actionable controlsThreat modeling should focus on impact rather than just vulnerability severityParticipants:Prashant Tyagi - Go-To-Market Identity Security Technology Strategy Lead, CyberArkMike Reed – Field CISO, Cloud Security & AI, FortraZaher Hulays – Vice President Strategic Partnerships, SysdigMatthew Girdharry - WW Leader for Observability & Security Partnerships, Amazon Web ServicesFurther Links:CyberArk: Website – LinkedIn – AWS MarketplaceFortra: Website – LinkedIn – AWS MarketplaceSysdig: Website – LinkedIn – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

As I'm building yet another software service business after having built and sold one back in 2019, I keep wrestling with a fundamental question that might sound simple but has profound implications: What do I actually own in this business?This episode of The Bootstraped Founder is sponsored by Paddle.comThe blog post: https://thebootstrappedfounder.com/the-ownership-paradox-what-do-you-really-control-in-your-software-business/The podcast episode: https://tbf.fm/episodes/416-the-ownership-paradox-what-do-you-really-control-in-your-software-businessCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

Figma's (FIG) IPO was one of the most anticipated in tech, and the stock price action was CRAZY! After the initial fervor, the price has pulled back significantly. Is this the buying opportunity investors have been waiting for?CSI is taking a deep dive into Figma's first earnings report as a publicly traded company to find out.In this video, we cover:✅ New Acquisitions: Figma is already putting its IPO cash to work, acquiring Payload (a content management software company) and Modify (an AI-focused model context protocol).✅ The Big Vision: How these acquisitions fit into Figma's goal to become the go-to platform for creating usable software, easily and intuitively.✅ The Financials: We break down Q2 ✅ Future Outlook: Management is guiding for a growth slowdown to 33% for Q3 and taking a hit on margins for the sake of expansion. Is this a red flag or a smart long-term play?✅ The Verdict: Is Figma stock a buy, sell, or hold at its current price? We give our final analysis and key takeaways.Timestamps:[00:00:00] What Figma Does: A review of Figma's end-to-end platform that helps companies with fast, agile software development from ideation to shipping.[00:02:45] Q2 Acquisitions: Breaking down the purchases of Payload, a Content Management System (CMS), and the AI coding startup, Modify.[00:04:45] AI Strategy & New Products: How Figma is using AI to be a disruptor with new tools like Figma Make, Draw, Sites, and Buzz, which were announced at its Config developer conference.[00:06:45] Model Context Protocol (MCP) Explained: Understanding how Figma connects designs to LLMs for coding assistance, with its Gen AI product housed on Amazon AWS.[00:08:30] Q2 Earnings & Valuation: Analyzing the first public report with $250M in revenue and a $26B+ market cap, compared to Adobe's failed $20B acquisition offer from three years prior.[00:10:30] CapEx & Hidden Costs: Exploring why even an "asset-light" company like Figma spends millions on physical hardware and cloud infrastructure from partners like AWS.[00:12:30] Future Financial Guidance: Breaking down the outlook for Q3 and the full year, including an expected growth slowdown and lower margins to fuel expansion.[00:14:05] Our Investment Strategy: Why we are being patient due to the high valuation and would only consider a very small Dollar-Cost Averaging (DCA) approach if we were to buy now.What are your thoughts on Figma's strategy? Let us know in the comments below!

Мок-интервью для junior/начинающего middle DevOps: CI/CD, Git-ветки, AWS (VPC, S3), Kubernetes (probes, DaemonSet), Terraform. Разбираем основы, типовые вопросы и ошибки — простым языком.

In this episode, ARK's Brett Winton, Charles Roberts and Frank Downing sit down with Stephen Balaban, CEO and co-founder of Lambda Labs — a company building AI-specific cloud infrastructure. The conversation explores Lambda's role in the AI value chain, the evolving economics of data centers, and why traditional hyperscalers might be too slow to meet the moment.Stephen explains why he believes we're transitioning from deterministic, rule-based software to what he calls “neural software” — stochastic, neural network-driven systems that will eventually replace nearly all traditional software. He shares Lambda's mission to enable this transformation by rapidly deploying GPU infrastructure and supporting the AI research and application build-out happening today.The discussion spans infrastructure strategy, regulatory bottlenecks, AI safety, energy constraints, and long-term visions of neural operating systems. Stephen offers a bold perspective on the hardware demands and philosophical shifts required to usher in a world where software is generated, not written.Key Points From This Episode:00:01:21 How Lambda positions itself as a “neo-cloud” provider competing with AWS, Azure, and GCP for AI workloads.00:02:46 Why ARK estimates $1.5 trillion in annual AI-related data center investment by 2030 and what it could mean for Lambda.00:05:26 Why hyperscalers may be too slow to meet the unique demands of AI training compared to specialized players.00:06:29 How AI infrastructure requires new rack designs, higher power density, and different utilization patterns.00:09:20 Why AI may disrupt the entire computing stack—from Nvidia overtaking Intel to reshaping platform and cloud services.00:14:50 Stephen explains Lambda's “secret mission” to replace all traditional software with neural networks.00:16:36 Why companies trust Lambda to deploy GPU infrastructure faster and more reliably than incumbents.00:20:27 How the concept of a “neural operating system” reframes software as stochastic rather than deterministic.00:23:04 How hallucinations in neural systems could be managed with checks and balances similar to financial approvals.00:25:04 Why Stephen sees AI safety and alignment as the cybersecurity of the future.00:39:00 How real-time AI tasks may run locally at the edge, while deeper reasoning gets pushed to the cloud.00:44:11 Why running modern large language models still resembles the supercomputer era rather than the PC era.00:46:06 How Stephen views the long-term convergence of AI with quantum computing and brain–computer interfaces.00:50:20 Why scaling AI requires the “heroic effort” of Nvidia, TSMC, OpenAI, energy providers, and Lambda together.00:53:43 Back-of-the-envelope math on CapEx per megawatt—from power plants and data centers to GPUs.00:57:11 Why power infrastructure and deregulation could become the biggest stumbling blocks for AI growth.01:02:02 How software creation is shifting from a labor-driven process to a capital-intensive one.01:06:06 Why Stephen and Brett describe data centers as “AI factories” producing custom neural software.

Jeff Johnson, MD and General Manager for Asean at AWS, joins Kopi Time to talk about all things cloud. We begin with AWS’s reach and scale, spectrum of services, and regional engagement. Jeff provides a host of examples to underscore enterprise usage with disruptive technologies, both AI and GenAI. He also sets the ground with the foundational tech stack maintained and continuously ungraded by AWS. We discuss security, reliability, sustainability, and democratisation of AI; Jeff contextualises these aspects with his deep experience in dealing with businesses in the region. We end with two big questions; will AI eat jobs and will AI show up in company bottom line sooner than later. Fascinating observations from one of the industry leaders.See omnystudio.com/listener for privacy information.

In this episode of the Unsecurity Podcast, hosts Brad Nigh and Megan Larkins are joined by special guest Jim Nelson from FRSecure to dive deep into the world of cloud security. Whether you're using AWS, Azure, or GCP, understanding the right security protocols is crucial. Jim, a subject matter expert in cloud assessments, CIS benchmarks, and cloud infrastructure, shares valuable insights on common security pitfalls and best practices to enhance your cloud security posture.Topics Covered:- Introduction to cloud security challenges and opportunities.- Key areas often overlooked in cloud infrastructure security.- The importance of proper configuration and ongoing monitoring.- Best practices in identity and access management.- Effective data protection and governance strategies.- The significance of continuous vulnerability management.- Real-world experiences and lessons from security assessments.- Tips for leveraging CIS benchmarks and security frameworks.- Insights into collaboration security and conditional access policies.Join us for a comprehensive discussion that offers actionable advice to elevate your security efforts in the cloud. Perfect for InfoSec professionals and organizations looking to bolster their cloud security strategies.Here are some resources to help get you started:FRSecure's Cloud Security Checklist: https://frsecure.com/cloud-infrastructure-security-checklist/The CIS Benchmarks: https://www.cisecurity.org/cis-benchmarksDon't forget to like, subscribe, and share with your network to stay informed about the latest in cybersecurity!-- Looking to get in touch? Reach out at unsecurity@frsecure.com and follow us for more!LinkedIn: https://www.linkedin.com/company/frsecure/Instagram: https://www.instagram.com/frsecureofficial/Facebook: https://www.facebook.com/frsecure/BlueSky: https://bsky.app/profile/frsecure.bsky.socialAbout FRSecure:https://frsecure.com/ FRSecure is a mission-driven information security consultancy headquartered in Minneapolis, MN. Our team of experts is constantly developing solutions and training to assist clients in improving the measurable fundamentals of their information security programs. These fundamentals are lacking in our industry, and while progress is being made, we can't do it alone. Whether you're wondering where to start or looking for a team of experts to collaborate with you, we are ready to serve.

 We're back! In this Season 5 premiere, the team reunites after their summer break to kick off an exciting new chapter. Join us as we catch up, share bold predictions for the year ahead, and explore big questions, like whether 2026 will be the year of the autonomous organization. Expect candid reflections, lively discussion, and a sneak peek at what's coming up this season.  We are very keen this season to establish a feedback loop with listeners, so will be doing shows exploring listener questions and challenges - something we are really looking forward to.  Please get in touch with us, via LinkedIn, Substack or cloudrealities@capgemini.com, if you have questions or challenges for us, we'd love to hear from you!TLDR: 00:20 – We're back! 00:35 – Catching up on what we did during the summer break 10:48 – Planning ahead until Christmas: Microsoft Ignite, AWS re:Invent, an AI mini-series and cool guests 20:27 – Tech talk: iPhone 17, deep democracy training, and the human impact of innovation 32:10 – Will autonomous organizations powered by agents emerge within 12–18 months? 40:45 – Reflections inspired by Jaws, climbing adventures, and Bruce Springsteen  HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini 

Today we talk to Elad Ben-Israel about his former startup Wing Cloud, and the language that was built along with it, Winglang. We discuss why Eland started Wing Cloud, lessons learned about founding a start up, and what the future holds for the Winglang language. Ad Spot: Faddom Faddom helps you discover and map your... Read more »

Today we talk to Elad Ben-Israel about his former startup Wing Cloud, and the language that was built along with it, Winglang. We discuss why Eland started Wing Cloud, lessons learned about founding a start up, and what the future holds for the Winglang language. Ad Spot: Faddom Faddom helps you discover and map your... Read more »

Send us a textThe gap between cloud-native and traditional networking has never been more evident. As organizations struggle with hybrid environments, finding a unified management strategy feels like searching for the mythical "one ring to rule them all."In this thought-provoking episode, we welcome Eric Chou, author, instructor, and podcast host with over a decade of experience at AWS and Azure. Eric brings a rare insider perspective on how hyperscalers approach networking fundamentally differently than traditional vendors.We explore why cloud providers built their infrastructure API-first from day one, while traditional networking vendors had to retrofit APIs onto existing hardware. This architectural distinction creates significant challenges when trying to manage both environments cohesively. Eric explains why cloud tools excel at declarative configurations while traditional networking tools often take a more procedural approach, and when each might be appropriate for your organization.The conversation takes a fascinating turn when we discuss how AI is reshaping network engineering. Are we headed toward a dangerous knowledge gap as junior engineers rely on AI without developing foundational skills? Eric advocates for an "enhance, not replace" philosophy that values human expertise while leveraging AI as a productivity multiplier. We debate whether simulation can ever truly replace the hard-earned lessons of 3 AM network outages.Whether you're managing a hybrid network environment or wondering how to prepare for an AI-driven future, this episode offers practical insights and a surprisingly optimistic outlook on the future of networking. Listen now to understand how bridging the gap between cloud and on-premises networking might be less about finding a universal tool and more about developing the right mindset and approach.Connect with Eric:Network Automation Nerds Podcast: https://packetpushers.net/podcast/network-automation-nerds/ Amazon Author Page: https://www.amazon.com/author/ericchouLinkedIn: https://www.linkedin.com/in/choueric/ Network Automation Nerds Website: https://networkautomationnerds.com/ Purchase Chris and Tim's new book on AWS Cloud Networking: https://www.amazon.com/Certified-Advanced-Networking-Certification-certification/dp/1835080839/ Check out the Monthly Cloud Networking Newshttps://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/Visit our website and subscribe: https://www.cables2clouds.com/Follow us on BlueSky: https://bsky.app/profile/cables2clouds.comFollow us on YouTube: https://www.youtube.com/@cables2clouds/Follow us on TikTok: https://www.tiktok.com/@cables2cloudsMerch Store: https://store.cables2clouds.com/Join the Discord Study group: https://artofneteng.com/iaatj

Brian Mendenhall, Worldwide Head, Security & Identity Partner Specialists of Amazon Web Services, reveals the insider framework for transforming enterprise AI security, including the three-pillar approach and partnership strategies that leading companies use to navigate AI governance challenges.Topics Include:At AWS everything starts with security as core principleConsulting partners follow three-phase model: assess, remediate, then fully manage securityTraditional security framework covers threat detection, incident response, and data protectionAI compliance spans multiple governance bodies with stacking requirements and regulationsEU AI Act affects any company globally if Europeans access their applicationsThree pillars: security OF AI, AI FOR security, security FROM AI attacksAWS launches AI security competency program with specialized partner categories and certificationsEnterprise AI spans five risk levels from consumer apps to self-trained modelsLegal liability dramatically increases as you move toward custom AI implementationsSafety means preventing harm; security means preventing breaches - both critical distinctionsCurrent AI hallucination rates hit 65-75% across major platforms like PalantirShared responsibility model determines who's liable when AI security tools failIndustry evolution progresses from machine learning to generative AI to autonomous agentsMajor prototype-to-production gap caused by governance, security, and scalability challengesSuccessful AWS partnerships require clear use cases, differentiation, and targeted go-to-market strategyParticipants:Brian Mendenhall - WW Head, Security & Identity Partner Specialists, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

The race to deploy AI is on, but are the cloud platforms we rely on secure by default? This episode features a practical, in-the-weeds discussion with Kyler Middleton, Principal Developer, Internal AI Solutions, Veradigm and Sai Gunaranjan, Lead Architect, Veradigm as they compare the security realities of building AI applications on the two largest cloud providers.The conversation uncovers critical security gaps you need to be aware of. Sai reveals that Azure AI defaults to sending customer data globally for processing to keep costs low, a major compliance risk that must be manually disabled . Kyler breaks down the challenges with AWS Bedrock, including the lack of resource-level security policies and a consolidated logging system that mixes all AI conversations into one place, making incident response incredibly difficult .This is an essential guide for any cloud security or platform engineer moving into the AI space. Learn about the real-world architectural patterns, the insecure defaults to watch out for, and the new skills required to transition from a Cloud Security Engineer to an AI Security Engineer.Guest Socials - ⁠⁠⁠Kyler's Linkedin + Sai's Linkedin Podcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Podcast- Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security BootCamp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Cybersecurity, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Security PodcastQuestions asked:(00:00) Introduction(02:30) Who are Kyler Middleton & Sai Gunaranjan?(03:40) Common AI Use Cases: Chatbots & Product Integration(05:15) Beyond IAM: The Full Scope of AI Security in the Cloud(07:30) The Role of the Cloud in Deploying Secure AI(13:10) AWS AI Architecture: Bedrock, Knowledge Bases & Vector Databases(15:10) Azure AI Architecture: AI Services, ML Workspaces & Foundry(21:00) The "Delete the Frontend" Problem: The Risk of Agentic AI(23:25) A Security Deep Dive into Microsoft Azure AI Services(29:20) Azure's Insecure Default: Sending Your Data Globally(31:35) A Security Deep Dive into AWS Bedrock(32:30) The Critical Gap: No Resource Policies in AWS Bedrock(33:20) AWS Bedrock's Logging Problem: A Nightmare for Incident Response(36:15) AWS vs. Azure: Which is More Secure for AI Today?(39:20) A Maturity Model for Adopting AI Security in the Cloud(44:15) From Cloud Security to AI Security Engineer: What's the Skill Gap?(48:45) Final Questions: Toddlers, Kickball, Barbecue & Ice Cream

In this 5 Insightful Minutes episode, David Dorf, Global Head of Retail Industry Solutions at AWS, joins Omni Talk to break down the explosive growth of agentic commerce and what retailers need to know for the upcoming holiday season. From Amazon's "Buy for Me" to Google's shopping agents, David reveals how the "agentic wars" have begun and are moving faster than anyone predicted. He shares critical insights on optimizing for both humans and agents, the shift from SEO to GEO (Generative Engine Optimization), and why retailers need to think strategically about inbound, outbound, and on-site agent strategies.

AWS Morning Brief for the week of September 22nd, 2025, with Corey Quinn. Links:Qwen models are now available in Amazon BedrockAWS Budgets now supports custom time periodsAmazon CloudWatch launches Cross-Account and Cross-Region Log CentralizationAmazon S3 now supports conditional deletes in S3 general purpose bucketsNew fault action in AWS FIS to inject I/O latency on Amazon EBS volumesAWS has once again announced a change (in this case, changing the email address from which invoices show up), only to walk it back prior to implementation.Use Raspberry Pi 5 as Amazon EKS Hybrid Nodes for edge workloadsMalware Protection for S3 Expands File Size and Archive Scanning LimitsAWS named as a Leader in 2025 Gartner Magic Quadrant for Cloud-Native Application Platforms and Container ManagementMigrate from Anthropic's Claude 3.5 Sonnet to Claude 4 Sonnet on Amazon Bedrock

LightSpeed VT: https://www.lightspeedvt.com/ Dropping Bombs Podcast: https://www.droppingbombs.com/ What if a 16-year-old yogurt scooper could turn into a billionaire exit master by 31?