Podcasts about aws

William and Eyvonne tackle the biggest AI stories of early 2026. They dissect Matt Schumer’s viral “Something Big is Happening” essay – agreeing professionals need to skill up now while pushing back on the doomsday framing with real-world examples from engineering disciplines. The conversation takes a fascinating turn as Eyvonne draws a parallel between AI-assisted... Read more »

Recent analysis from Goldman Sachs indicates that $700 billion in AI investment during 2025 resulted in no measurable U.S. GDP growth, with most AI equipment imports negating domestic benefits and 80% of surveyed firms reporting no productivity or employment improvements. This pattern suggests that AI-related spending has primarily shifted margins from enterprise IT budgets to a small number of infrastructure vendors rather than delivering distributed value. Internal concerns are rising, with 90% of IT leaders questioning AI's return on investment, and 80% citing fragmented data as a primary challenge to measuring outcomes. Further context reveals that agentic AI initiatives face operational headwinds: Gartner expects 40% of such projects to be cancelled by 2027, and S&P Global found nearly half are abandoned before production, most often due to inadequate planning and data foundations. Margin erosion is widespread, attributed to AI implementation costs, and attempts to scale AI agents into production remain limited by inference costs and insufficient infrastructure. Despite increased adoption efforts, sustainable value delivery from AI platforms remains elusive for most organizations. Enterprise AI access is becoming increasingly concentrated. OpenAI's partnership with consulting firms such as BCG, McKinsey, Accenture, and Capgemini consolidates control of the enterprise distribution layer, narrowing competitive opportunities for smaller providers. Meanwhile, Amazon's 13-hour AWS outage, linked to the misconfiguration of an internal AI tool, underscores the liability ambiguity in agentic systems—where vendors may attribute autonomous actions to user error, complicating risk assignment. Additional updates from vendors such as Anthropic, Cloudflare, and New Relic address incremental technical capabilities, with a distinct focus on cost, operational governance, and policy enforcement. The prevailing themes for MSPs and IT leaders are increased scrutiny of AI value, heightened exposure to cost and accountability risk, and the emergence of managed service opportunities around data governance, cost instrumentation, and liability management. With enterprise market channels consolidating and risk shifting toward service providers, integrating robust contractual definitions for autonomy, incident attribution, and financial boundaries is essential to limit harm and clarify responsibility before incidents occur. Four things to know today 00:00 Goldman: $700B AI Spend Delivered Near-Zero U.S. GDP Growth in 2025 03:49 OpenAI Enlists BCG, McKinsey, Accenture to Distribute Enterprise AI Agents 06:44 Report: Amazon's Own Engineers Prefer Claude Over Its Mandated Internal Tools 08:56 AI Inference Costs Are Falling — But Governance Gaps Are Growing This is the Business of Tech.    Supported by: CometBackup  Small Biz Thoughts Community   

What does it take to get your SaaS offering on multiple cloud providers? Richard chats with Steve Buchanan about his new role at JAMF, which focuses on a mobile device management product for Apple devices. Originally built as a SaaS product on AWS, Steve is helping to build out the JAMF stack on Azure to support a broader range of customers. Steve talks about Kubernetes as the common ground among the major cloud players, but you need to dig into the rest of the tooling to minimize differences across implementations. That means cloud-agnostic tools for deployment, identity, instrumentation, and more! The good news is that there are plenty of tools out there to help you, but it does take time to work out your suite of tools to get consistent results, no matter where the backend resides.LinksJAMFOpenTofuElastic Kubernetes ServiceAzure Kubernetes ServiceGoogle Kubernetes EngineMicrosoft IntuneiOS and IntuneOktaPrometheusGrafanaSteve's Pluralsight ClassesKAgentSOC 2 Type 2Recorded January 8, 2026

Le D.E.V. de la semaine est Simon Parisot, CEO et cofondateur de Blank. Simon a fait un pari, un peu fou, au début de l’aventure Blank : avoir un environnement 100% serverless ! Lambda, DynamoDB, S3, … il connait tous les services AWS, mais n’utilise pas une seule EC2 !! Il vient nous raconter comment il a construit cette plateforme, et surtout pourquoi ! Il nous explique aussi les changements que cela a sur le travail des dev (le dev en local est compllqué), les impératifs de qualité du code que cela implique et aussi comment le recrutement doit s’adapter à ce choix technique.Liens évoqués pendant l’émissionIFTTD avec Olivier Dupuis - Faites entrer le hackeurFramework serverless🎙️ Soutenez le podcast If This Then Dev ! 🎙️ Chaque contribution aide à maintenir et améliorer nos épisodes. Cliquez ici pour nous soutenir sur Tipeee 🙏Archives | Site | Boutique | TikTok | Discord | Twitter | LinkedIn | Instagram | Youtube | Twitch | Job Board |Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

This interview was recorded for the GOTO Book Club.http://gotopia.tech/bookclubCheck out more here:https://gotopia.tech/episodes/420Bill Frasure - Co-Author of  "Effect Oriented Programming"Bruce Eckel - Author of many books such as "Thinking in Java", "Thinking in C++" & Atomic Kotlin & Co-Author of  "Effect Oriented Programming"James Ward - Principal Developer Advocate at AWS & Co-Author of  "Effect Oriented Programming"Andrew Harmel-Law - Technical Principal at Thoughtworks & Author of "Facilitating Software Architecture"RESOURCESBillhttps://github.com/swoogleshttps://x.com/bill_frasureBrucehttps://bsky.app/profile/bruceeckel.bsky.socialhttps://x.com/BruceEckelhttps://github.com/BruceEckelhttps://www.linkedin.com/in/bruceeckelJameshttps://bsky.app/profile/jamesward.comhttps://twitter.com/_JamesWardhttps://github.com/jameswardhttps://www.linkedin.com/in/jameswardAndrewhttps://bsky.app/profile/andrewhl.bsky.socialhttps://twit.social/@ahlhttps://x.com/al94781https://github.com/andrewharmellawhttps://www.linkedin.com/in/andrewharmellawhttps://andrewharmellaw.github.ioLinkshttps://effectorientedprogramming.comhttps://happypathprogramming.comhttps://zio.devhttps://www.unison-lang.orghttps://www.roc-lang.orgDESCRIPTIONAndrew Harmel-Law explores the core concepts of effect oriented programming with authors Bill Frasure, Bruce Eckel, and James Ward. The discussion reveals that effects are composable operations that encapsulate side effects and defer execution, giving developers the right handles to manage unpredictability through compiler-checked types.The authors explain how ZIO tracks three critical types: outputs, failures, and environmental requirements, enabling better testing with mock clocks and random number generators.They share their intentional avoidance of intimidating functional programming terminology like "monads" proving you don't need mathematical foundations to understand effects. The conversation covers effect systems' expansion beyond Scala into TypeScript, Kotlin, and new languages like Unison and Roc, and how their collaborative writing process with strict constraints like 47-character line limits - created a coherent 100-page book readable in portrait mode on your phone.RECOMMENDED BOOKSBill Frasure, Bruce Eckel, James Ward • Effect Oriented Programming • https://amzn.to/4sO6wLVBruce Eckel & Svetlana Isakova • Atomic Kotlin • https://amzn.to/4qT1gEQBruce Eckel • Thinking in C++ • https://amzn.to/4qnrIGWAndrew Harmel-Law • Facilitating Software Architecture • https://amzn.eu/d/5kZKVfUSam Keen • Clean Architecture with Python • https://amzn.to/4pBT5g0Eric Evans • Domain-Driven Design • https://amzn.to/3tnGhwmBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

In this episode, hosts Lois Houston and Nikita Abraham are joined by special guests Samvit Mishra and Rashmi Panda for an in-depth discussion on security and migration with Oracle Database@AWS. Samvit shares essential security best practices, compliance guidance, and data protection mechanisms to safeguard Oracle databases in AWS, while Rashmi walks through Oracle's powerful Zero-Downtime Migration (ZDM) tool, explaining how to achieve seamless, reliable migrations with minimal disruption.   Oracle Database@AWS Architect Professional: https://mylearn.oracle.com/ou/course/oracle-databaseaws-architect-professional/155574 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, Anna Hulkower, 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! 00:26 Nikita: Welcome to the Oracle University Podcast! I'm Nikita Abraham, Team Lead: Editorial Services with Oracle University, and with me is Lois Houston, Director of Communications and Adoption with Customer Success Services. Lois: Hello again! We're continuing our discussion on Oracle Database@AWS and in today's episode, we're going to talk about the aspects of security and migration with two special guests: Samvit Mishra and Rashmi Panda. Samvit is a Senior Manager and Rashmi is a Senior Principal Database Instructor.  00:59 Nikita: Hi Samvit and Rashmi! Samvit, let's begin with you. What are the recommended security best practices and data protection mechanisms for Oracle Database@AWS? Samvit: Instead of everyone using the root account, which has full access, we create individual users with AWS, IAM, Identity Center, or IAM service. And in addition, you must use multi-factor authentication. So basically, as an example, you need a password and a temporary code from virtual MFA app to log in to the console.  Always use SSL or TLS to communicate with AWS services. This ensures data in transit is encrypted. Without TLS, the sensitive information like credentials or database queries can be intercepted. AWS CloudTrail records every action taken in your AWS account-- who did what, when, and from where. This helps with audit, troubleshooting, and detecting suspicious activity. So you must set up API and user activity logging with AWS CloudTrail.  Use AWS encryption solutions along with all default security controls within AWS services. To store and manage keys by using transparent data encryption, which is enabled by default, Oracle Database@AWS uses OCI vaults. Currently, Oracle Database@AWS doesn't support the AWS Key Management Service. You should also use advanced managed security services such as Amazon Macie, which assists in discovering and securing sensitive data that is stored in Amazon S3.  03:08 Lois: And how does Oracle Database@AWS deliver strong security and compliance? Samvit: Oracle Database@AWS enforces transparent data encryption for all data at REST, ensuring stored information is always protected. Data in transit is secured using SSL and Native Network Encryption, providing end-to-end confidentiality. Oracle Database@AWS also uses OCI Vault for centralized and secure key management. This allows organizations to manage encryption keys with fine-grained control, rotation policies, and audit capabilities to ensure compliance with regulatory standards. At the database level, Oracle Database@AWS supports unified auditing and fine-grained auditing to track user activity and sensitive operations. At the resource level, AWS CloudTrail and OCI audit service provide comprehensive visibility into API calls and configuration changes. At the database level, security is enforced using database access control lists and Database Firewall to restrict unauthorized connections. At the VPC level, network ACLs and security groups provide layered network isolation and access control. Again, at the database level, Oracle Database@AWS enforces access controls to Database Vault, Virtual Private Database, and row-level security to prevent unauthorized access to sensitive data. And at a resource level, AWS IAM policies, groups, and roles manage user permissions with the fine-grained control. 05:27 Lois Samvit, what steps should users be taking to keep their databases secure? Samvit: Security is not a single feature but a layered approach covering user access, permissions, encryption, patching, and monitoring. The first step is controlling who can access your database and how they connect. At the user level, strong password policies ensure only authorized users can login. And at the network level, private subnets and network security group allow you to isolate database traffic and restrict access to trusted applications only. One of the most critical risks is accidental or unauthorized deletion of database resources. To mitigate this, grant delete permissions only to a minimal set of administrators. This reduces the risk of downtime caused by human error or malicious activity. Encryption ensures that even if the data is exposed, it cannot be read. By default, all databases in OCI are encrypted using transparent data encryption. For migrated databases, you must verify encryption is enabled and active. Best practice is to rotate the transparent data encryption master key every 90 days or less to maintain compliance and limit exposure in case of key compromise. Unpatched databases are one of the most common entry points for attackers. Always apply Oracle critical patch updates on schedule. This mitigates known vulnerabilities and ensures your environment remains protected against emerging threats. 07:33 Nikita: Beyond what users can do, are there any built-in features or tools from Oracle that really help with database security? Samvit: Beyond the basics, Oracle provides powerful database security tools. Features like data masking allow you to protect sensitive information in non-production environments. Auditing helps you monitor database activity and detect anomalies or unauthorized access. Oracle Data Safe is a managed service that takes database security to the next level. It can access your database configuration for weaknesses. It can also detect risky user accounts and privileges, identify and classify sensitive data. It can also implement controls such as masking to protect that data. And it can also continuously audit user activity to ensure compliance and accountability. Now, transparent data encryption enables you to encrypt sensitive data that you store in tables and tablespaces. It also enables you to encrypt database backups. After the data is encrypted, this data is transparently decrypted for authorized users or applications when they access that data. You can configure OCI Vault as a part of the transparent data encryption implementation. This enables you to centrally manage keystore in your enterprise. So OCI Vault gives centralized control over encryption keys, including key rotation and customer managed keys. 09:23 Lois: So obviously, lots of companies have to follow strict regulations. How does Oracle Database@AWS help customers with compliance?  Samvit: Oracle Database@AWS has achieved a broad and rigorous set of compliance certifications. The service supports SOC 1, SOC 2, and SOC 3, as well as HIPAA for health care data protection. If we talk about SOC 1, that basically covers internal controls for financial statements and reporting. SOC 2 covers internal controls for security, confidentiality, processing integrity, privacy, and availability. SOC 3 covers SOC 2 results tailored for a general audience. And HIPAA is a federal law that protects patients' health information and ensures its confidentiality, integrity, and availability. It also holds certifications and attestations such as CSA STAR, C5. Now C5 is a German government standard that verifies cloud providers meet strict security and compliance requirements. CSA STAR attestation is an independent third-party audit of cloud security controls. CSA STAR certification also validates a cloud provider's security posture against CSA's cloud controls matrix. And HDS is a French certification that ensures cloud providers meet stringent requirements for hosting and protecting health care data. Oracle Database@AWS also holds ISO and IEC standards. You can also see PCI DSS, which is basically for payment card security and HITRUST, which is for high assurance health care framework. So, these certifications ensure that Oracle Database@AWS not only adheres to best practices in security and privacy, but also provides customers with assurance that their workloads align with globally recognized compliance regimes. 11:47 Nikita: Thank you, Samvit. Now Rashmi, can you walk us through Oracle's migration solution that helps teams move to OCI Database Services? Rashmi: Oracle Zero-Downtime Migration is a robust and flexible end-to-end database migration solution that can completely automate and streamline the migration of Oracle databases. With bare minimum inputs from you, it can orchestrate and execute the entire migration task, virtually needing no manual effort from you. And the best part is you can use this tool for free to migrate your source Oracle databases to OCI Oracle Database Services faster and reliably, eliminating the chances of human errors. You can migrate individual databases or migrate an entire fleet of databases in parallel. 12:34 Nikita: Ok. For someone planning a migration with ZDM, are there any key points they should keep in mind?  Rashmi: When migrating using ZDM, your source databases may require minimal downtime up to 15 minutes or no downtime at all, depending upon the scenario. It is built with the principles of Oracle maximum availability architecture and leverages technologies like Oracle GoldenGate and Oracle Data Guard to achieve high availability and online migration workflow using Oracle migration methods like RMAN, Data Pump, and Database Links. Depending on the migration requirement, ZDM provides different migration method options. It can be logical or physical migration in an online or offline mode. Under the hood, it utilizes the different database migration technologies to perform the migration. 13:23 Lois: Can you give us an example of this? Rashmi: When you are migrating a mission critical production database, you can use the logical online migration method. And when you are migrating a development database, you can simply choose the physical offline migration method. As part of the migration job, you can perform database upgrades or convert your database to multitenant architecture. ZDM offers greater flexibility and automation in performing the database migration. You can customize workflow by adding pre or postrun scripts as part of the workflow. Run prechecks to check for possible failures that may arise during migration and fix them. Audit migration jobs activity and user actions. Control the execution like schedule a job pause, resume, if needed, suspend and resume the job, schedule the job or terminate a running job. You can even rerun a job from failure point and other such capabilities. 14:13 Lois: And what kind of migration scenarios does ZDM support? Rashmi: The minimum version of your source Oracle Database must be 11.2.0.4 and above. For lower versions, you will have to first upgrade to at least 11.2.0.4. You can migrate Oracle databases that may be of the Standard or Enterprise edition. ZDM supports migration of Oracle databases, which may be a single-instance, or RAC One Node, or RAC databases. It can migrate on Unix platforms like Linux, Oracle Solaris, and AIX. For Oracle databases on AIX and Oracle Solaris platform, ZDM uses logical migration method. But if the source platform is Linux, it can use both physical and logical migration method. You can use ZDM to migrate databases that may be on premises, or in third-party cloud, or even within Oracle Cloud Infrastructure. ZDM leverages Oracle technologies like RMAN datacom, Database Links, Data Guard, Oracle GoldenGate when choosing a specific migration workflow. 15:15 Are you ready to revolutionize the way you work? Discover a wide range of Oracle AI Database courses that help you master the latest AI-powered tools and boost your career prospects. Start learning today at mylearn.oracle.com. 15:35 Nikita: Welcome back! Rashmi, before someone starts using ZDM, is there any prep work they should do or things they need to set up first? Rashmi: Working with ZDM needs few simple configuration. Zero-downtime migration provides a command line interface to run your migration job. First, you have to download the ZDM binary, preferably download from my Oracle Support, where you can get the binary with the latest updates. Set up and configure the binary by following the instructions available at the same invoice node. The host in which ZDM is installed and configured is called the zero-downtime migration service host. The host has to be Oracle Linux version 7 or 8, or it can be RCL 8. Next is the orchestration step where connection to the source and target is configured and tested like SSH configuration with source and target, opening the ports in respective destinations, creation of dump destination, granting required database privileges. Prepare the response file with parameter values that define the workflow that ZDM should use during Oracle Database migration. You can also customize the migration workflow using the response file. You can plug in run scripts to be executed before or after a specific phase of the migration job. These customizations are called custom plugins with user actions. Your sources may be hosted on-premises or OCI-managed database services, or even third-party cloud. They may be Oracle Database Standard or Enterprise edition and on accelerator infrastructure or a standard compute. The target can be of the same type as the source. But additionally, ZDM supports migration to multicloud deployments on Oracle Database@Azure, Oracle Database@Google Cloud, and Oracle Database@AWS. You begin with a migration strategy where you list the different databases that can be migrated, classification of the databases, grouping them, performing three migration checks like dependencies, downtime requirement versions, and preparing the order migration, the target migration environment, et cetera. 17:27 Lois: What migration methods and technologies does ZDM rely on to complete the move? Rashmi: There are primarily two types of migration: physical or logical. Physical migration pertains to copy of the database OS blocks to the target database, whereas in logical migration, it involves copying of the logical elements of the database like metadata and data. Each of these migration methods can be executed when the database is online or offline. In online mode, migration is performed simultaneously while the changes are in progress in the source database. While in offline mode, all changes to the source database is frozen. For physical offline migration, it uses backup and restore technique, while with the physical online, it creates a physical standby using backup and restore, and then performing a switchover once the standby is in sync with the source database. For logical offline migration, it exports and imports database metadata and data into the target database, while in logical online migration, it is a combination of export and import operation, followed by apply of incremental updates from the source to the target database. The physical or logical offline migration method is used when the source database of the application can allow some downtime for the migration. The physical or logical online migration approach is ideal for scenarios where any downtime for the source database can badly affect critical applications. The only downtime that can be tolerated by the application is only during the application connection switchover to the migrated database. One other advantage is ZDM can migrate one or a fleet of Oracle databases by executing multiple jobs in parallel, where each job workflow can be customized to a specific database need. It can perform physical or logical migration of your Oracle databases.  And whether it should be performed online or offline depends on the downtime that can be approved by business. 19:13 Nikita: Samvit and Rashmi, thanks for joining us today. Lois: Yeah, it's been great to have you both. If you want to dive deeper into the topics we covered today, go to mylearn.oracle.com and search for the Oracle Database@AWS Architect Professional course. Until next time, this is Lois Houston… Nikita: And Nikita Abraham, signing off! 19:35 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.

AWS Morning Brief for the week of February 23rd, with Corey Quinn. Links:Amazon Bedrock expands support for AWS PrivateLinkAWS CloudWatch Alarm Mute Rules eliminate alert fatigueAmazon EC2 supports nested virtualization on virtual Amazon EC2 instancesAnnouncing Amazon DocumentDB long-term support (LTS) on 5.0AWS Certificate Manager updates default certificate validity to comply with new guidelinesClaude Sonnet 4.6 now available in Amazon BedrockKiro is now available in AWS GovCloud (US) RegionsAmazon EC2 Hpc8a Instances powered by 5th Gen AMD EPYC processors are now availableIntroducing VPC encryption controls: Enforce encryption in transit within and across VPCs in a RegionMigrating from AWS App Runner to Amazon ECS Express ModeIntroducing Agent Plugins for AWSBuild unified intelligence with Amazon Bedrock AgentCoreReduce unexpected AWS costs: Tracing AWS billing charges with log correlation techniques

What if the key to building a high-performing team isn't fixing weaknesses, but maximizing strengths? In this episode, Cam and Otis sit down with Kathy Kersten, a Gallup Certified Strengths Coach who has spent over 15 years helping leaders at Meta, Google, and AWS unlock their teams' potential through the CliftonStrengths framework."I always joke that my Maximizer talent is a warning label, not just a t-shirt," Kathy explains, diving into the power of self-awareness and how understanding your natural talent patterns can transform both individual performance and team dynamics. From discussing the difference between specialty players and utility players to sharing practical strategies for hiring based on strengths rather than just skills, this conversation offers a fresh perspective on leadership.Whether you're an entrepreneur building your first team, a leader looking to optimize performance, or simply curious about how to leverage your own talents more effectively, Kathy's insights provide a roadmap for creating trust-based environments where everyone's unique abilities can flourish.More About Kathy:I'm Kathy Kersten, a Gallup-Certified Strengths Coach and a dedicated team maximizer with more than 15 years of experience unlocking the potential of individuals and teams. My journey in the world of strengths began with a focus on employee engagement at Rackspace, leading me to specialize in enhancing the dynamics within tech teams and organizations. Throughout my career, I have had the privilege of collaborating with tech leaders from esteemed companies such as Meta, Google, and Amazon Web Services.My approach is rooted in creating trust-based environments where everyone's unique talents can flourish. I've facilitated strategic retreats, coached cross-functional teams, and partnered with top educational institutions like Texas A&M University and the University of Texas San Antonio on impactful projects. I also have a strong passion for supporting women's professional development, having served as a coach, facilitator, and keynote speaker for various organizations and events.Chapter Times and Titles:Introduction: Meet Kathy Kersten, the Team Maximizer [00:00 - 03:59]Welcome and the brain metaphor for strengthsKathy's background as a Gallup Certified Strengths CoachWhat is CliftonStrengths (StrengthsFinder)?Understanding Strengths: More Than Just Being Good at Something [03:59 - 08:30]Defining strength: talent + investment = strengthThe difference between natural patterns and developed skillsWhy is self-awareness the foundationThe Specialty Player vs. Utility Player Debate [08:30 - 19:00]Should you be known for one thing or many?The sports analogy: All-American specialists vs. versatile athletesBalancing specialization with organizational needsZooming In and Out: The Full Strengths Picture [19:00 - 28:45]Beyond the top 5: understanding your complete talent profileHow context determines which strengths to deployThe importance of knowing your bottom strengths, tooBuilding Teams Around Strengths, Not Just Skills [28:45 - 38:30]Hiring for energy and natural talentThe accountant's story: when skills drain your energyIdentifying what gives you zero energy boost vs. what energizes youPractical Application: Strengths in Action [38:30 - 48:00]How entrepreneurs can build their first team using strengthsThe finite nature of time and energyMatching people to roles that energize themThe Maximizer's Perspective on Optimization [48:00 - 56:00]Why does Kathy focus on optimization over fixingCreating trust-based environments for talents to flourishThe power of knowing your team's strengthsLessons Learned and Final Thoughts [56:00 - 59:47]Camden's takeaway on specialty vs. utility valueOtis's ref

Ted Thatcher discusses market unease and the state of the broad economy. He's hopeful for the year still, breaking down the latest GDP report and what he thinks investors are missing. Ted covers why he thinks Amazon (AMZN) is an appealing buy here, arguing that the opportunity for AWS within AI is underappreciated, and why it can hit the “singularity” in the robotics revolution first.======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe 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 – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

https://clearmeasure.com/developers/forums/ Paul Duvall is an award‑winning author, longtime DevOps leader, and former AWS executive with more than two decades of experience in software engineering. He co‑founded Stelligent, establishing a business dedicated to enabling enterprise customers adopt DevOps and Security practices on AWS. He is the author of the book at defined CI for the world: Continuous Integration: Improving Software Quality and Reducing Risk. The book received the 2008 Jolt Award and continues to be the official textbook for continuous integration. Today, he focuses on helping engineering teams adopt AI‑native and DevSecOps practices, drawing on multiple decades of delivering and managing software solutions. Mentioned in this Episode LinkedIn Website X Account Continuous Integration  Github  AI Development Patterns Redacted Adventures  Making CI CD Invisible a Vision for Zero Touch Delivery -  Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

Send a textWant a clear path from CISSP to top-tier pay without getting lost in buzzwords? We break down five high-income specialties that pair perfectly with CISSP leadership: modern GRC, cloud security as code, AI ethics and governance, advanced identity, and software supply chain security. Along the way, we unpack how AI reasoning tools like Claude Code Security are reshaping AppSec by cutting false positives and detecting logic flaws scanners miss, and we translate that shift into concrete workflows, better guardrails, and faster delivery.We start with the career pivot many leaders are making—moving from generalist security management to “decision architect.” That means pairing risk fluency with hands-on understanding of Terraform, Kubernetes, and CI/CD gates, then proving value through resilient architectures and evidence-driven dashboards for boards. You'll hear why GRC is exploding under new enforcement trends, how to automate continuous evidence to beat audit fatigue, and where vCISO opportunities command premium rates when strategy meets measurable outcomes.From there, we get practical. We walk through cloud guardrails that stop drift before it hits prod, share how to navigate shared responsibility with AWS and Azure, and outline identity-first zero trust that tames API key sprawl and enables passwordless access. On AI, we go deep on shadow AI containment, prompt-injection red teaming, model transparency, and data loss prevention tuned for embeddings—governance that accelerates, not blocks. Finally, we turn to software supply chain security: SBOM mandates, signed artifacts, dependency risk, and the DevSecOps policies that keep pipelines moving while raising assurance.If you're mapping your next move, we also compare salary bands across roles and highlight bridge certifications—CISM for program leadership, AI governance credentials for compliance depth, and CISA for audit rigor—to level up fast. Subscribe, share this with a teammate plotting their niche, and leave a quick review to tell us which specialty you're pursuing next.Gain exclusive access to 360 FREE CISSP Practice Questions at FreeCISSPQuestions.com and have them delivered directly to your inbox! Don't miss this valuable opportunity to strengthen your CISSP exam preparation and boost your chances of certification success. Join now and start your journey toward CISSP mastery today!

Apparently, Amazon's own AI coding assistant, Kiro, was to blame for an AWS outage. The AI decided the human code needed rewriting and... did it. Taking down a bunch of sites in the process. Of course, Amazon is downplaying this because AI is magic. Like Microsoft, they're apparently relying on "vibe coding" and the results speak for themselves.Watch the podcast episodes on YouTube and all major podcast hosts including Spotify.CLOWNFISH TV is an independent, opinionated news and commentary podcast that covers Entertainment and Tech from a consumer's point of view. We talk about Gaming, Comics, Anime, TV, Movies, Animation and more. Hosted by Kneon and Geeky Sparkles.Get more news, views and reviews on Clownfish TV News - https://more.clownfishtv.com/On YouTube - https://www.youtube.com/c/ClownfishTVOn Spotify - https://open.spotify.com/show/4Tu83D1NcCmh7K1zHIedvgOn Apple Podcasts - https://podcasts.apple.com/us/podcast/clownfish-tv-audio-edition/id1726838629

In this episode of the Shift AI Podcast, Scott Roberts, CISO at UiPath, joins host Boaz Ashkenazy for a deep dive into how agentic AI is reshaping enterprise security and automation—both for customers and inside UiPath itself.Scott shares his 25-year security journey spanning Microsoft's early Security Response Center days (including the era that produced Patch Tuesday and the Security Development Lifecycle), product security work across Windows and Xbox, time at AWS, and leadership roles at Google where he helped build the Android Security Assurance and Pixel Security teams and the Android Monthly Security Update process. He also discusses his work in security standards across IPsec, HTML5 encrypted media, GSMA device security, and most recently, contributions to emerging agentic AI security standards.The conversation then explores UiPath's evolution from traditional RPA into a unified platform that combines deterministic automation with agentic workflows. Scott walks through a real-world healthcare billing example where agentic automation increased deduplication accuracy dramatically by handling complex, variable inputs that classic RPA struggled with—while still keeping humans in the loop and feeding outcomes back into the system to improve over time.Boaz and Scott go deep on what's changed for CISOs in the post-LLM world: the need for guardrails, identity and entitlements for AI agents, and the challenge of end users copying sensitive information into consumer AI tools. Scott explains UiPath's approach: enable adoption while using nudges and policy controls to redirect sensitive workflows into enterprise-safe environments rather than relying solely on blocks.The episode closes with an eye-opening look at UiPath's internal “agentic threat analyst” system—an orchestration of 60+ agents that can investigate SIEM alerts end-to-end, generate structured incident writeups, and compress hours of analyst work into roughly a minute and a half. Scott's future-looking takeaway: as AI models evolve beyond “read-only” into potentially “read-write” systems that can update their foundational knowledge, the acceleration could be truly mind-blowing.This episode is essential listening for security leaders, enterprise operators, and automation teams trying to understand how agentic systems change not just productivity, but the entire security operating model.Chapters[00:01] Scott's Security Journey: Microsoft, Google, Coinbase, UiPath[01:33] Security Standards Work: From IPsec to Agentic AI Standards[04:08] What UiPath Does: Process Orchestration, RPA, and Enterprise Automation[06:28] RPA vs Agentic Automation: A Healthcare Billing Deduplication Example[09:17] The Agentic Stack: Canvas, Guardrails, and the AI Trust Layer[10:31] How LLMs Change Security: Data Controls, Access, and Governance[12:14] Internal Adoption at UiPath: AI Tooling by Persona (Legal, Finance, Engineering)[13:13] Code Velocity and Security: Agents Generating Code, Agents Verifying It[15:53] Two AI Security Worlds: Orchestration Platforms vs End-User Chat Interfaces[17:11] Securing End Users: Enterprise LLMs, Nudges, and Browser-Based Controls[19:07] Sovereign AI and Data Boundaries: Keeping Data in the Right Region[21:00] Over-Permissioning Meets Agents: Why AI Makes Old Problems Obvious Fast[22:21] The Next Wave: AI Transforming the Entire SDLC End-to-End[24:53] Security Pitfalls in Agentic SDLC: Misaligned Incentives and Permissions[26:02] UiPath's Agentic Threat Analyst: 60+ Agents, SIEM to Writeup Automation[30:07] What Changes for Humans: Faster “Time to Truth” and Higher-Leverage Work[32:09] Two-Word Future: “Mind Blowing” and Read/Write ModelsConnect with Scott RobertsLinkedIn: https://www.linkedin.com/in/scottroberts6/Connect with Boaz AshkenazyLinkedIn: https://www.linkedin.com/in/boazashkenazy/Email: info@shiftai.fm

When your AI bot breaks your operations, even when you're AWS. More on OpenAI's hardware plans. Hey, remember Perplexity? What's up with them? Is Uber roadkill in the self-driving car horserace? And, of course, the Weekend Longreads Suggestions. Amazon service was taken down by AI coding bot (FT) Ex-Googlers Charged With Stealing Phone Processor Secrets (Bloomberg) OpenAI Plans to Price Smart Speaker at $200 to $300, as AI Device Team Takes Shape (The Information) Microsoft has a new plan to prove what's real and what's AI online (MIT Technology Review) Perplexity's Retreat From Ads Signals a Bigger Strategic Shift (Wired) Uber, Latest Victim of Disruption Panic, Still Has Role in Robotaxis (WSJ) Weekend Longreads Suggestion: Who needs a laptop when you have a folding phone? (The Verge) Learn more about your ad choices. Visit megaphone.fm/adchoices

Have you ever wondered why "compliance" still gets treated like a slow, spreadsheet-heavy chore, even though the rest of the business is moving at machine speed? In this episode of Tech Talks Daily, I sit down with Matt Hillary, Chief Information Security Officer at Drata, to talk about what actually changes when AI and automation land in the middle of governance, risk, and compliance. Matt brings a rare viewpoint because he lives this day-to-day as "customer zero," running Drata internally while also leading IT, security, GRC, and enterprise apps. We get practical fast. Matt shares how AI-assisted questionnaire workflows can turn a 120-question security assessment from a late-afternoon time sink into something you can complete with confidence in minutes, then still make it upstairs in time for dinner. He also explains how automation flips the audit dynamic by moving from random sampling to continuous, full-population checks, using APIs to validate evidence at scale, without hounding control owners unless something is actually wrong. We also talk about what security leadership really looks like when the stakes rise. Matt reflects on lessons from his time at AWS, why curiosity and adaptability matter when the "canvas" keeps changing, and how customer focus becomes the foundation of trust. That theme runs through the whole conversation, including the idea that the CISO role is steadily turning into a chief trust officer role, where integrity, transparency, and credibility under pressure matter as much as tooling. And because burnout is never far away in security, we dig into the human side too. Matt unpacks how automation can reduce cognitive load, but also warns about swapping one kind of pressure for another, especially when teams get trapped producing endless dashboards and vanity metrics instead of focusing on the few measures that actually reduce risk. To wrap things up, Matt leaves a song for the playlist, Illenium's "You're Alive," plus a book recommendation, "Lessons from the Front Lines, Insights from a Cybersecurity Career" by Asaf Karen, which he says stands out for how it treats the human side of security leadership. If you're thinking about modernizing compliance in 2026 without losing the human element, his parting principle is simple and powerful: be intentional, keep asking why, and spend your limited time on what truly matters. So where do you land on this shift toward continuous trust, do you see it becoming the default expectation for buyers and auditors, and what should leaders do now to make sure automation reduces pressure instead of quietly adding more? Share your thoughts with me, I'd love to hear how you're approaching it.

Some organizations have no heart at all. The best have three! That's the thesis of the new book, The Octopus Organization: A Guide to Thriving in a World of Continuous Transformation, co-authored by our guests, Phil Le Brun and Jana Werner. Both work with leaders operating at global scale—Phil as an Executive in Residence at Amazon Web Services, and Jana as a Global Executive Advisor at AWS—helping organizations navigate complexity, change, and continuous transformation. In their book, Phil and Jana introduce a clear contrast between what they call Tin Man organizations and Octopus organizations. Tin Man organizations are rigid, highly centralized, and overly dependent on a small group of decision-makers at the top. Like the character in The Wizard of Oz, they operate with structure but no heart. Decision-making slows, intelligence gets trapped in the hierarchy, and employees often wait for direction rather than contributing meaningfully. Octopus organizations, by contrast, are alive with three hearts. They are intelligent, adaptive, and responsive. A strong central purpose keeps everyone aligned, but authority and decision-making are distributed to the people closest to the work. Teams are empowered to sense, decide, and act, allowing the organization to learn, adapt, and thrive in real time. A central contribution of the book is the identification of what Phil and Jana call organizational “anti-patterns”—recurring leadership behaviors and systems that feel reasonable in the moment but consistently undermine clarity, trust, cohesion, and performance. These patterns exist even in organizations with talented people and strong intentions. In this episode, we explore several anti-patterns in depth: the lack of clarity that leaves people guessing what truly matters; the overuse of corporate jargon that creates distance and mistrust; purpose statements that are words on a page rather than guides for behavior; and cultures that elevate individual stars at the expense of cohesive, high-performing teams. We also discuss why fast, open information flow is essential for adaptability and well-being. Phil and Jana also reconfirm our own understanding that well-being cannot be created through perks or programs—it emerges from how people are treated, trusted, and empowered, and how work is designed and decisions flow. For leaders who care about performance, well-being, and building more humane organizations, this episode offers practical insight into creating workplaces that truly thrive. The post Phil Le-Brun & Jana Werner: How Organizations Thrive When They Have Three Hearts appeared first on Mark C. Crowley.

CISA Orders Emergency Patch for Actively Exploited Dell Flaw; Texas Sues TP-Link; Massive ID Verification Data Leak; SSA Database Leak Allegations Host Jim Love covers four cybersecurity stories:  Cybersecurity Today  would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale.  You can find them at Meter.com/cst CISA ordered federal civilian agencies to patch an actively exploited critical Dell RecoverPoint for Virtual Machines vulnerability (CVE-2026-2769) within three days, citing hard-coded credentials that allow unauthenticated root access and links to a China-aligned threat cluster; Texas Attorney General filed suit against TP-Link alleging deceptive security and origin claims and risks tied to Chinese state-linked threats, while TP-Link denies the allegations and says it operates independently, stores U.S. user data on AWS, and bases core operations in the U.S.; researchers found an unsecured MongoDB database tied to AI-powered identity verification provider ID Merit exposing nearly 1 billion records with sensitive personal data, attributed to misconfiguration rather than compromise of the AI systems; and a MarketWatch report describes whistleblower Chuck Borges alleging SSA master data was copied to a cloud environment without oversight, contrasted by the Social Security Commissioner stating the core Numident database remained secure, with Love noting no confirmed public evidence but expressing concern about the implications if such foundational data were compromised. 00:00 Sponsor Message: Meter's Full-Stack Networking 00:19 Headlines: Dell Exploit, TP-Link Lawsuit, Massive Data Leak, SSA Claims 00:45 Urgent Patch Order: Actively Exploited Dell RecoverPoint CVE 02:19 Texas Sues TP-Link Over Router Security & China-Ties Allegations 03:31 AI Identity Verification Leak: Nearly 1 Billion Records Exposed 05:07 Did SSA Data Leak? Whistleblower vs. Official Denial 06:54 Host Take: What If the "Foundational" Database Was Compromised? 07:37 Wrap-Up + Sponsor Thanks and Where to Book a Demo

Join us as Chris gets brutally honest about tech employment in the AI era: what's dying, what's thriving, and how to position yourself to survive the chaos. Chris walks through the current state of tech layoffs hitting record numbers while companies post record profits, the disappearance of entry-level roles, and practical strategies for navigating this unprecedented moment. You'll learn about skill development in the AI era, why fundamentals still matter more than hype, how to build resilience through community, and what hiring managers are actually looking for right now. This episode doesn't sugarcoat the challenges from hollowed-out expertise at major companies to early-career professionals wondering if their degree still matters, but it also provides actionable guidance on positioning yourself and why humor and human connection remain irreplaceable in an AI-driven world. Timestamps 0:00 Welcome & Setting the Tone 3:09 Chris Miller's Background & Journey 7:30 The Current State of Tech Employment 12:45 Layoffs vs Record Profits Discussion 18:22 Entry-Level Roles Disappearing 24:16 What Skills Actually Matter Now 30:41 Building Career Resilience 36:52 The Fundamentals Still Win 42:18 Community & Support Networks 47:35 Practical Job Search Strategies 52:14 What AI Can't Replace (Yet) 55:06 Things We're Thankful For 59:00 Wrap-up & Resources How to find Chris: https://www.linkedin.com/in/chris-t-miller/ https://www.chrismiller.com/ Links from the show: https://roadmap.sh

What can you automate with SWAMP today, from AWS to a Proxmox home lab? How do skills, scripts, and reusable workflows plug into your stack? Could this be your agent's missing guardrails?  We are always happy to answer any questions, hear suggestions for new episodes, or hear from you, our listeners. DevSecOps Talks podcast LinkedIn page DevSecOps Talks podcast website DevSecOps Talks podcast YouTube channel

Can you really call yourself the world’s biggest retailer if your edge comes from the cloud? In this episode, hosted by Michelle Martin with Ryan Huang, we unpack how Amazon dethroned Walmart in 2025 revenue - but only thanks to AWS. Strip out cloud, and the retail crown looks very different. We examine Walmart’s softer profit print, its quiet online gains, and why its stock is beating Amazon year-to-date. In Singapore, DBS upgrades Genting Singapore amid strong cash reserves and a constructive gaming environment. Plus: Sea Ltd & Google’s AI tie-up, Nestlé’s ice cream exit, New Balance vs Nike, OUE REIT & UOB’s One Raffles Place sale, and the STI’s charge past 5,000. Hear about: Amazon | Walmart | AWS | DBS | Genting Singapore | Sea Ltd | Google | Nestlé | New Balance | Nike | OUE REIT | UOB | Yangzijiang Shipbuilding | Mapletree Logistics TrustSee omnystudio.com/listener for privacy information.

Amazon Web Services (AWS), de clouddienst van techreus Amazon, heeft in de afgelopen maanden minstens twee storingen gehad waarbij eigen AI-tools een rol speelden. Dat schrijft de Financial Times op basis van gesprekken met medewerkers. In december lag een systeem van AWS zo’n 13 uur stil nadat engineers de interne AI-codingtool Kiro toestemming gaven om wijzigingen door te voeren. Die zogeheten ‘agentic’ AI, die zelfstandig acties kan uitvoeren, besloot volgens betrokkenen de hele omgeving te verwijderen en opnieuw op te bouwen. Het ging om een systeem waarmee klanten hun AWS-kosten kunnen analyseren. Volgens Amazon betrof het een beperkte storing die slechts één dienst in delen van China raakte. Het zou bovendien al de tweede keer zijn geweest dat een AI-tool van AWS betrokken was bij een verstoring. In een eerder incident speelde een andere AI-hulp voor programmeurs een rol. Medewerkers zouden de AI-agent zonder extra menselijke controle hebben laten handelen, terwijl bij dit soort ingrepen normaal een tweede goedkeuring vereist is. Amazon zelf spreekt van ‘gebruikersfouten’ en benadrukt dat hetzelfde probleem ook met handmatige acties had kunnen ontstaan. Volgens het bedrijf was er geen sprake van een fundamenteel AI-probleem, maar van te ruime toegangsrechten. Inmiddels zijn extra veiligheidsmaatregelen ingevoerd, zoals verplichte peer reviews en aanvullende training. Intern zouden sommige medewerkers sceptisch zijn over de foutgevoeligheid, juist nu Amazon inzet op grootschalig AI-gebruik bij softwareontwikkeling. Verder in deze Tech Update: Meta trekt Virtual Reality los van Horizon Worlds: het ooit als dé metaverse gepresenteerde platform is nu vooral een mobiele app, zonder verplichte VR-bril en meer vergelijkbaar met platforms als Fortnite en Roblox. Meta zegt niet te stoppen met VR, maar snijdt wel in het team en richt zich vooral op AI en op ondersteuning van externe VR-ontwikkelaars. Vanavond reikt Bits of Freedom de jaarlijkse Big Brother Awards uit aan de grootste privacyschenders van 2025, met onder meer nominaties voor de Belastingdienst, de Nationale Politie, Microsoft, de VNG en Clinical Diagnostics na een groot datalek. De jury- en publieksprijs zijn bedoeld als kritisch statement, maar er is ook aandacht voor positieve privacy-initiatieven. See omnystudio.com/listener for privacy information.

This week on Screaming in the Cloud, Corey sits down with Chris Hill, CEO of Humble Pod, to talk about the messy, nuanced reality of AI in media. From secretly cloning Corey's voice for an ad using ElevenLabs (and almost getting away with it) to the growing tension between polished production and authentic content, they unpack what AI can actually do versus what it claims to do.They explore the shifting economics of podcasting, the rise of video-first formats, Netflix's entrance into the space, and why “good enough” production often beats expensive studio perfection. It's a candid conversation about trust, automation, creative integrity, and why sometimes the most dangerous AI use case is the one no one notices.Show Highlights:(00:00) The AI Voice Clone Ad Nobody Noticed(00:44) 700 Episodes In: Catching Up with Humble Pod's Chris Hill(01:16) New Studio, New Vibes: Building a Podcast Space in Tennessee(01:51) AI in Podcasting Workflows: Riverside, Editing Promises & Human Judgment(07:50) Authenticity vs Production Value + Duckbill Hiring & Product Shift(14:05) Renewals, churn, and why point solutions fail(14:15) The Doc Tools saga: building the wrong thing (and Disney lawyers)(15:15) Bahamas studio build: consulting where quality really matters(16:34) Gear talk & pro tips: teleprompters, cameras, and looking at the lens(18:50) Podcasting goes video-first: clips, discovery, TikTok, and the wrap-upAbout Chris Hill: Chris Hill is a Knoxville, TN native and founder of Humble Pod, where he helps brands, startups, and thought leaders develop, launch, and grow podcasts across the U.S. and beyond. He works with clients ranging from local Knoxville businesses to entrepreneurs in Silicon Valley and around the world.Chris is the co-host and producer of Our Humble Beer Podcast and lectures on podcasting and marketing at the University of Tennessee. He earned his undergraduate degree in Marketing & Entrepreneurship from the University of Tennessee at Chattanooga and later received his MBA from King University.He currently serves as President of the American Marketing Association Knoxville chapter and enjoys supporting the local craft beer community, traveling internationally, and exploring the outdoors.Links: Humblepod: https://www.humblepod.com/Sponsored by: duckbillhq.com

In today's Cloud Wars Minute, I analyze how AI inferencing and custom chips are reshaping the cloud power structure.Highlights00:05 — 2026 is off to a booming start. One of the numbers we saw was that Amazon is committed to spending $200 billion in CapEx in calendar 2026. That will be, by far, the largest CapEx expenditure in a single year that any company in any industry has ever made. So, truly some monumental, groundbreaking stuff going on here. It shows the size of the opportunity.01:11 — Now that total, Jassy said a few times, is for the whole Amazon Corporation, but he said the vast majority — the lion's share — will go to AWS. So I took a little bit of liberty with this and figured that the overall for the whole company is almost $550 million in CapEx every single day. So I figured the portion of that — about 90% for AWS — is about $500 million a day being invested in the CapEx capabilities for AWS to pursue this enormous opportunity.02:23 — Certainly the AI boom is funneling a huge amount of this, but they've also got this core strength. And he talked about how some companies investing in AI are also then pairing that up with increased non-AI workloads. In particular, on the AI side, he said inferencing is becoming huge.03:05 — He said their chip business is at a $10 billion annualized run rate for AWS. He said every tech company in the world is desperately trying to get specialized, customized chips. AWS and Amazon are increasing their investment in their own chip business. He thinks that down the line, especially as the inferencing category really kicks in, this is going to be a huge boost for them.04:51 — But overall, I think this is a tremendous display of courage and confidence on the part of Jassy and Amazon to again invest more in CapEx than any company in any industry has ever done, because he sees if we do this, this incredible market is going to be coming, and we at Amazon and AWS have the best possible chance of getting more than our share of it. Visit Cloud Wars for more.

Realities Remixed, formerly know as Cloud Realities, launches a new season exploring the intersection of people, culture, technology, and society. Hosts Dave Chapman, Esmee van de Giessen, and Rob Kernahan unpack 2026's defining trends, from AI and sovereignty to adaptability and automation, offering fresh insight, candid reflections, and forward‑looking conversations shaping the year ahead. TLDR00:20 – Introduction of Realities Remixed02:30 – Why the show evolved?04:50 – Dig in with the team: Predictions for 202606:40 – Macro trends13:00 – Sovereignty 17:40 – Agentic AI22:17 – Human–AI interaction26:06 – Cloud trends30:42 – AI scaling, domain‑specific models35:03 – Adoption lag39:34 – Physical AI43:47 – Quantum computing48:21 – Hardware acceleration50:30 – Cybersecurity52:38 – Season outlook HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/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/ 'Realities Remixed' is an original podcast from Capgemini

Join Chief Technologist John Janek, Technical Director for Digital Identity & Biometrics Niroop Gonchikar, Technical Director for Partnerships Tiffany Ceasor, and Application Developer Kurtis Miles as they talk about their experience at the 2025 AWS re:Invent Conference.The team highlighted what they learned from the conference including significant trends and innovations including AI advancements, quantum computing, data modeling, serverless technology, and emerging practices in security and compliance. The team reflects on the impact of these technologies on their work and the future of the public sector. They also touch on the surge in agentic AI applications, and the transformative impact of AI tools like Kiro on software development workflows.The conversation concludes with insights on the benefits of attending, who should attend AWS re:Invent, and underscores the importance of staying ahead of technological advancements in your career.

Research to develop future approaches and strategies for the use of AI-generated software code in academia and industry is to be conducted by Lero, Ireland's top software research centre, at University of Limerick (UL). The research project will seek to understand how Generative AI and its related software development practices will impact future programmer knowledge, deployment of cognitive models and the strategies used by engineers for the development and comprehension of software systems both in industry and academic settings. The project, led by Lero researchers within the Immersive Software Engineering Program (ISE) at UL, will explore how computer science education is evolving in response to emerging technologies, with a particular focus on preparing students for careers in modern software development. The project aims to develop strategies to enable educators to integrate and deploy artificial intelligence (AI) based code-generation tools and practices into curriculum design and delivery. Professor Chris Exton, Academic Director of ISE at University of Limerick, who will lead the research team, with Professor Jim Buckley and Dr. James Patten, said: "This research will help us understand how to best prepare students for careers where technology is constantly evolving. We are examining fundamental questions about how students learn and develop the skills they need to succeed in a software industry that is rapidly changing due to AI." The project is supported by Amazon Web Services (AWS) and builds on UL's existing collaboration with the company. In August 2022,UL announced the launch of its Global Fellowships programme as part of its BSc/MSc in Immersive Software Engineering, which is funded through a philanthropic gift from AWS, allowing UL to establish and fully fund the programme in perpetuity. The collaboration between UL and AWS has brought global thought leaders from industry and academia to Limerick, reshaping computer science education and research in Ireland. Lero General Manager, Joe Gibbs, added: "This research project will enhance our understanding of software education's future. We're grateful for AWS's continued support in enabling our researchers to pursue important questions about how we prepare the next generation of software professionals." Ian McGarry, Director at AWS in Ireland, said: "AWS is committed to supporting independent research that advances and transforms computer science education. We're pleased to expand our collaboration with the University of Limerick to enable this important work." See more stories here. More about Irish Tech News Irish Tech News are Ireland's No. 1 Online Tech Publication and often Ireland's No.1 Tech Podcast too. You can find hundreds of fantastic previous episodes and subscribe using whatever platform you like via our Anchor.fm page here: https://anchor.fm/irish-tech-news If you'd like to be featured in an upcoming Podcast email us at Simon@IrishTechNews.ie now to discuss. Irish Tech News have a range of services available to help promote your business. Why not drop us a line at Info@IrishTechNews.ie now to find out more about how we can help you reach our audience. You can also find and follow us on Twitter, LinkedIn, Facebook, Instagram, TikTok and Snapchat.

Cloud Posse holds LIVE "Office Hours" every Wednesday to answer questions on all things related to AWS, DevOps, Terraform, Kubernetes, CI/CD. Register at https://cloudposse.com/office-hours Support the show

Kat Traxler, Principal Security Researcher at Vectra AI, returns to the podcast to discuss her AI-powered vulnerability research workflow. She explains how she uses two different AI models to act as the “blackboard” while she applies her expertise to triage AI-generated ideas to increase her productivity. She also asks a concerning question: As AI automates... Read more »

Kat Traxler, Principal Security Researcher at Vectra AI, returns to the podcast to discuss her AI-powered vulnerability research workflow. She explains how she uses two different AI models to act as the “blackboard” while she applies her expertise to triage AI-generated ideas to increase her productivity. She also asks a concerning question: As AI automates... Read more »

Kat Traxler, Principal Security Researcher at Vectra AI, returns to the podcast to discuss her AI-powered vulnerability research workflow. She explains how she uses two different AI models to act as the “blackboard” while she applies her expertise to triage AI-generated ideas to increase her productivity. She also asks a concerning question: As AI automates... Read more »

Send a textThis week on The Route to Networking podcast, our CEO George is joined by Joe Limardo, an AI and Cloud Architect Evangelist whose career has evolved from enterprise contact centre technology into hands-on AI implementation across OpenAI, AWS and Google.As AI dominates headlines, this episode cuts through the noise. Joe shares what the shift actually means for engineers, reflecting on how quickly once “hot” skills can become legacy and why continuous learning is no longer optional.The conversation explores the real breakthrough behind modern AI - access to reasoning, not just information. Large Language Models are changing how engineers build, solve problems, and accelerate their own learning, while businesses use AI to remove repetitive work and unlock higher-value thinking.They also discuss the growing infrastructure demands behind AI, the move from pure coding to architecture, and the three skills Joe believes future-proof careers: APIs, Python, and storytelling.The episode closes with a quick-fire round covering model preferences, common misconceptions, and the one advantage AI still cannot replace - human judgement under uncertainty.Want to stay up to date with new episodes? Follow our LinkedIn page for all the latest podcast updates!Head to: https://www.linkedin.com/company/the-route-to-networking-podcast/Interested in following a similar career path? Why don't you take a look at our jobs page, where you can find your next job opportunity? Head to: www.hamilton-barnes.com/jobs/

Data centres have become one of the most contentious issue in US power markets. The question of who will pay for the new generation and grid upgrades needed to keep them running has been soaring up the political agenda, and attracting attention in the White House.Host Ed Crooks is joined on this episode by Brandon Oyer, Head of Americas Power & Water at Amazon Web Services (AWS), and Vince Parisi, President & COO at NIPSCO, the Northern Indiana Public Service Company, to discuss a solution.Together, they unpack their new agreement to develop power capacity in northern Indiana, which they say will enable AWS to add 2.4 gigawatts of data centre capacity without sticking everyone else with the bill. Data centres are not just for AI: they are the “invisible digital backbone” behind everything from banking to healthcare to emergency services, Brandon says. But he also acknowledges that local communities around data centre developments are right to ask hard questions about costs. NIPSCO and other utilities agree. Vince says they welcome the economic activity and tax revenues that new data centres bring, but the goal for the electricity system is to ensure customers “aren't paying for it.” AWS and NIPSCO say their agreement, which they announced last November, will achieve that goal. In fact, they expect to save customers money, unlocking $1 billion in customer savings over 15 years.So what actually makes this deal different, and is it a template others can copy? Brandon and Vince walk through the ring-fenced structure (a separate GenCo that funds and builds generation), the performance incentives, and why both sides landed on a 15-year commitment even as data-centre hardware cycles every few years. You'll also hear why AWS doesn't see its data centres as truly flexible loads, how the GenCo model let NIPSCO lock in long-lead equipment early, and what plugging this capacity into the MISO power market means for the reliability of electricity supplies.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, Scott Becker explains how slowing growth at AWS is pressuring Amazon and driving a sharp $470 billion decline in market cap.

AWS Morning Brief for the week of February 17th, with Corey Quinn. Links:Amazon Aurora DSQL is now available in additional AWS RegionsAmazon Bedrock adds support for six fully-managed open weights modelsAWS Config now supports 30 new resource typesAnnouncing new Amazon EC2 general purpose M8azn instancesAWS Network Firewall announces new price reductionsAmazon S3 Tables add partition and sort order definition in the CreateTable APIAmazon Athena adds 1-minute reservations and new capacity control featuresBuilding fault-tolerant applications with AWS Lambda durable functions Simplify cross-account stream processing with AWS Lambda and Amazon DynamoDBAutomated Reasoning checks rewriting chatbot reference implementationMastering Amazon Bedrock throttling and service availability: A comprehensive guideReservoir computing on an analog Rydberg-atom quantum computer

Honeycomb Co-founder and CTO Charity Majors explains why measuring the right engineering metrics in the age of AI matters more than chasing numbers.Topics Include:Charity Majors introduces Honeycomb as the original observability company for complex systemsHoneycomb solves high cardinality problems across millions of individual customer experiencesTheir MCP tool ranked top five in Stack Overflow's most-used listCanva lets developers interact with production software directly from their IDEAI acts as an amplifier requiring strong reliability and observability foundationsMeasuring success requires multiple metrics to avoid gaming single numbersHoneycomb adopted Intercom's 2X productivity challenge enlisting employees to identify gainsWriting code was never the hard part even before generative AI arrivedHoneycomb created AI values prioritizing transparency and emotional safety for employeesStaff tested boundaries on resources and environmental impact prompting honest discussionsHoneycomb acquired Grok and shipped Query Assistant Canvas and MCP productsFuture concerns include AI economics shifting and AI-native developers lacking foundational expertiseParticipants:Charity Majors – Co-Founder/CTO, Honeycomb.ioSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

I'm joined by Nirmal Mehta of AWS and Viktor Farcic from Upbound, to go through our 2025 year in review. We look into the AI tools that consumed us this year, from CLI agents to terminal emulators, IDEs, AI browsers - what worked, what flopped, what's worth your time and money, and what we think isn't!Check out the video podcast version here: https://youtu.be/mnagfUsh5bc

In this episode, Scott Becker explains how slowing growth at AWS is pressuring Amazon and driving a sharp $470 billion decline in market cap.

This presentation was recorded at GOTO Serverless 2025.https://conferences.gotopia.tech/goto-serverless-bengaluru-2025Nick Coult - Director of Product for Serverless at AWSRobbie Kohler - VP of Software Engineering, Byte by Yum!David Anderson - Software Architect at G-P/Globalization Partners & Author of "The Value Flywheel Effect"Janak Agarwal - Senior Manager, Product Management, AWS LambdaAkshatha Laxmi - Solution Architect at AntStackJeevan Dongre - CEO & Co-Founder at AntStackRESOURCESNickhttps://x.com/nickcoulthttps://github.com/coultnhttps://www.linkedin.com/in/nickcoultRobbiehttps://www.linkedin.com/in/rkohlerhttps://x.com/robbie_kohlerDavidhttps://x.com/davidand393https://www.linkedin.com/in/david-anderson-belfasthttps://theserverlessedge.comJanakhttps://www.linkedin.com/in/janakagarwalAkshathahttps://github.com/AkshathaLaxmihttps://www.linkedin.com/in/akshatha-laxmiJeevanhttps://x.com/jeevandongrehttps://github.com/jeevandongrehttps://www.linkedin.com/in/jeevandongreRead the full abstract here:https://conferences.gotopia.tech/goto-serverless-bengaluru-2025/sessions/3856RECOMMENDED BOOKSPeter Sbarski • Serverless Architectures on AWS • https://amzn.to/3hJzEUMMichael Stack • Event-Driven Architecture in Golang • https://amzn.to/3G5e8STAshley Peacock • Serverless Apps on Cloudflare • https://amzn.to/3EU7P85Jeroen Mulder • Multi-Cloud Strategy for Cloud Architects • https://amzn.to/3FdNDOABlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

In this episode, Dave explores the recent decline in Amazon's stock price, analyzing the company's quarterly results and e-commerce performance. Despite a drop in stock value, Amazon's e-commerce growth remains strong, with significant increases in third-party seller services and advertising revenue. The discussion also covers Amazon's strategic investments in AI and delivery speed, as well as the expansion of grocery services and the introduction of Amazon Hall to compete with other platforms. Takeaways Amazon's stock has dropped nearly 10% recently. Despite stock decline, e-commerce growth is strong at 8%. AWS revenue growth is at its highest in years. FBA fees are increasing, indicating more third-party seller activity. Amazon is focusing on same-day grocery delivery expansion. Rufus, Amazon's AI shopping assistant, is a key strategy. Amazon Hall aims to compete with low-cost Chinese platforms. Delivery speed improvements are crucial for customer satisfaction. Advertising revenue is becoming a significant part of Amazon's income. Overall e-commerce resilience is promising for sellers. Titles Amazon's Stock Plunge: What It Means for E-commerce Quarterly Insights: Amazon's Performance Breakdown  sound bites "Amazon stock is absolutely cratering." "AWS revenue was up 24%." "FBA fees were up 10% for the quarter." Chapters 00:00 Amazon's Stock Decline and Market Overview 03:05 Quarterly Results and E-commerce Performance 05:55 Capital Expenditures and AI Investments 08:46 E-commerce Growth and Third-Party Seller Services 12:01 Delivery Speed and Grocery Expansion 15:10 AI Shopping Assistants and Amazon's Strategy 17:58 Amazon Hall and Competitive Landscape

Join us as Marian explains what AI governance means for vSphere administrators and why it matters now. Marian walks through practical governance frameworks that vSphere admins need to understand, from IEEE 7000 series standards to mapping governance controls onto infrastructure you already manage. You'll learn what your CISO will ask for, how to respond using your existing VMware stack, and why governance isn't about slowing innovation� it's about enabling it safely. This episode covers real-world scenarios from data lineage and model transparency to integrating governance tools with existing infrastructure, and addresses the gap between compliance requirements and practical implementation for virtualized environments. Timestamps 0:00 Welcome & Introduction 5:16 Marian's Background in Tech & Governance 6:37 What is Governance? 12:45 IEEE 7000 Series Standards Overview 18:22 AI Governance for vSphere Admins 24:16 Data Lineage & Model Transparency 30:41 Risk Assessment Frameworks 36:52 Practical Implementation Strategies 42:18 Integration with Existing Tools 47:35 Common Governance Challenges 51:12 Vendor Landscape Discussion 54:27 Missing Innovation in the Space 58:09 Wrap-up & Resources How to find Marian: https://www.linkedin.com/in/mariannewsome/ Links from the show: https://ethicaltechmatters.com/

What does it take to migrate the heart of a nation's banking system to the cloud?In this AWS Executive Insights fireside chat, Ben Cabanas sits down with Simon Davies, GM of Core Banking at Commonwealth Bank of Australia, to unpack one of the most mission-critical cloud transformations in financial services. With nearly 40% of Australia's liquidity flowing through CBA's core platform, the stakes were enormous.Simon shares how CBA migrated the world's largest SAP core banking deployment to AWS while improving reliability, reducing infrastructure costs by 30%, and enabling real-time customer experiences. Beyond the technical achievement, he reveals how transparency, cultural alignment, and a rallying cry of “believe” helped mobilize thousands across the organization to deliver change at national scale.

Perform 2026 felt like a turning point for Dynatrace, and when Steve Tack joined me for his fourth appearance on the show, it was clear this was not business as usual.  We began with a little Perform nostalgia, from Dave Anderson's unforgettable "Full Stack Baby" moment to the debut of AI Rick on the keynote stage. But the humor quickly gave way to substance. Because beneath the spectacle, Dynatrace introduced something that signals a broader shift in observability: Dynatrace Intelligence. Steve was candid about the problem they set out to solve. Too much focus on ingesting data. Too much time spent stitching tools together. Too many dashboards. Too many alerts. The real opportunity, he argued, is turning telemetry into trusted, automated action. And that means blending deterministic AI with agentic systems in a way enterprises can actually trust. We unpacked what that looks like in practice. From United Airlines using a digital cockpit to improve operational performance, to TELUS and Vodafone demonstrating measurable ROI on stage, the emphasis at Perform was firmly on production outcomes rather than pilot projects. As Steve put it, the industry has spent long enough in "pilot purgatory." The next phase demands real-world deployment and real return. A big part of that confidence comes from the foundations Dynatrace has laid with Grail and Smartscape. By combining unified telemetry in its data lakehouse with real-time topology mapping and causal AI, Dynatrace is positioning itself as the engine behind explainable, trustworthy automation. When hyperscaler agents from AWS, Azure, or Google Cloud call Dynatrace Intelligence, they are expected to receive answers grounded in causal context rather than probabilistic guesswork. We also explored what this means for developers, who often carry the burden of alert fatigue and fragmented tooling. New integrations into VS Code, Slack, Atlassian, and ServiceNow aim to bring observability directly into the developer workflow. The goal is simple in theory and complex in execution: keep engineers in their flow, reduce toil, and amplify human decision-making rather than replace it. Of course, autonomy raises questions about risk. Steve acknowledged that for now, humans remain firmly in the loop, with most agentic interactions still requiring checkpoints. But as trust grows, so will the willingness to let systems self-optimize, self-heal, and remediate issues automatically. We closed by zooming out. In a market saturated with AI claims, Steve encouraged listeners to bet on change rather than cling to the status quo. There will be hype. There will be agent washing. But there is also real value emerging for those prepared to experiment, learn, and scale responsibly. If you want to understand where AI observability is heading, and how deterministic and agentic intelligence can coexist inside enterprise operations, this episode offers a grounded, practical perspective straight from the Perform show floor.

The Deal You Never Knew Existed. Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX: https://theultimatepartner.com/experience/ In this deep dive, Jay McBain reveals the harsh reality of the “28 Moments” in a modern B2B buying journey, using a multi-million dollar SAP deal at AstraZeneca as a wake-up call for vendors. He explains how traditional marketing leads are failing in the “decade of the ecosystem,” where trusted partners like NTT and SoftwareOne are winning deals in “light blue” partnership moments months before a customer ever downloads an ebook. If you aren’t visible in the seven-layer stack or collaborating with the partners who hold the customer’s trust, you aren’t just losing the deal—you're losing the entire market. https://youtu.be/NO-P6X2dTAo?si=8e_sVesqvwaC0M-E Key Takeaways Most vendors lose major deals without ever knowing a transaction was even taking place. The average considered purchase involves 28 distinct moments of research and influence before a sale. Trusted partners often close the deal in the “middle moments” months before the money is actually spent. Traditional marketing leads (MQLs) are often too “flimsy” compared to deep partner-led relationships. Winning in the ecosystem requires being part of a “seven-layer stack” of integrated technology and services. Data-sharing platforms like Crossbeam and Workspan are now essential to seeing the “invisible” pipeline. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags: 28 Moments, Jay McBain, Ecosystem Strategy, AstraZeneca SAP Deal, Seven Layer Stack, B2B Buying Journey, Partner Ecosystem, NTT, SoftwareOne, Channel Strategy, Buyer Intent, Informa TechTarget, Collaborative Selling, Crossbeam, Partner Tap, Workspan, Marketplace Tracking, Co-selling, Tech Integration, Revenue Architecture, Pipeline Growth, Trusted Advisor, Digital Transformation, SAP Optimization, Microsoft AWS Competition. Transcript: [00:00:00] Jay McBain: So if you’re a vendor trying to get into that seven layer stack and you don’t have that relationship, or you don’t have the knowledge that NTT or software one is going in, this will have been a deal that would’ve never hit your pipeline and you’ll have no knowledge. So you will have lost this deal without knowing there was a deal. [00:00:19] Vince Menzione: We’ve been talking 28 moments, but you have a slide. I thought we’d spend some time here because, you know, every conversation with you is about 28 moments, but you finally took the time to analyze one of your deals or one of the deals that was going on with one of your clients and come up with the 28 moments. [00:00:36] Vince Menzione: I thought we’d spend a little time here because this journey slide is a wake up call. Uh, it’s, it’s, it’s all around. Why, why we need to think about all of those. Points we need to think about communities and analysts and marketplaces and proof of concepts and architecture and everything else. I thought maybe you’d take us through this a little bit. [00:00:53] Vince Menzione: ’cause this was for a client, AstraZeneca, by the way. This was, uh, if you don’t know this, ICI Americas was the precursor of mm-hmm. AstraZeneca. It was the first SAP customer in North America. [00:01:03] Jay McBain: Nice. I did [00:01:04] Vince Menzione: not know that. That’s why Microsoft and SAP both headquartered. In that area, near nearby, that client. [00:01:10] Vince Menzione: That’s, uh, news, new news. [00:01:11] Jay McBain: And by the way, this is an SAP deal we’re looking at. Yeah. Uh, so two things here. One is that, um, while I was declaring the decade of the ecosystem, you know, spending time with you and Boca, in between that time we got acquired. Canals, which was Latin for channel, got acquired by oia, part of Informa TechTarget, part of this bigger informa company, which is a Fortune 100 company outta the uk. [00:01:32] Jay McBain: Fantastic. You know, we’re part of this massive organization that is really around buyer intent. How, you know, a tech target and, uh, running hundreds of magazines like Information Week and Computer Week that customers and partners read running hundreds of events, the biggest events on the planet. [00:01:49] Vince Menzione: Crazy [00:01:49] Jay McBain: in B2B, like Black Hat and all these things are run by [00:01:52] Vince Menzione: Yeah, [00:01:53] Jay McBain: informa. [00:01:53] Jay McBain: So it’s got this massive mountain of data. About the 28 moments. So when you start to think if you’re a CMO and you start to think about the early moments, you, you think about somebody reading an ebook or, um, going to a, a webinar or going onto a LinkedIn live just like this one. Yeah, going to a major event and getting a pair of socks from you. [00:02:13] Jay McBain: Um, but anything early in the journey. These are the m qls. These are the things that I need enough of them to be credible before I hand them over to my sales team. ’cause I don’t wanna be laughed out of the room. Hey, they read an ebook. They must, AstraZeneca must be buying millions of dollars of stuff. [00:02:27] Vince Menzione: Traditional marketing lead. [00:02:29] Jay McBain: Traditional marketing lead. So they’re a bit nervous about sharing that. And then later on, the sales motions, the demos and all the progression of the sales. This was the two decades before us, the decade of sales, decade of marketing. But the 28 moments, just to take a step back, if you haven’t heard, it is just a considered purchase. [00:02:46] Jay McBain: It’s about psychology, human psychology. When you go and buy a car, second most expensive thing that you will purchase you on average will go through 28 moments getting ready for that purchase. Some people go through two moments and they just drive to the Cadillac dealership to see Larry, who’s been selling Cadillacs to the family for 80 years. [00:03:04] Jay McBain: Yep. Some people spend 58 moments. That’s probably me. [00:03:07] Vince Menzione: That’s you, a, [00:03:08] Jay McBain: you know, going through all the depreciation, watching every YouTube video, you know, going to the end of the earth. But the average is 28. So you start to think about this, this is the same buying a car considered purchase, that you would buy a million dollars in software. [00:03:21] Jay McBain: From Microsoft or SAP. So when you look at these moments, you start to think, you know, how is you before you buy that car, downloading the invoice price, downloading this month’s backend rebates. Should I buy it in January? Should I buy it in February? All these decisions you make before you get to that dealership, you’re smarter than the salesperson, smarter than the sales manager. [00:03:39] Jay McBain: You know what 5,000 people bought the car for within 50 miles of you? I mean, you’re just so smart. You actually don’t need the dealership anymore. Just Carvana to me, hand me the keys. Exactly. But now in buying technology, hardware, software services, customers are getting this smart. And here’s all the moments they take to get this smart. [00:03:57] Jay McBain: But the thing we always had in mind in this decade of the ecosystem was the 96% there are trusted people. Yeah. Spending decades building that trust that come in in critical moments. They’re not marketing moments, they’re not sales moments. They are fully partnership moments. Yeah. And they’re on this slide in light blue. [00:04:15] Jay McBain: So if you were to look at this deal and, and somebody in marketing is finding these eBooks and webinars and they think there might be something, AWS got a direct hit on their website. So there’s something brewing at AstraZeneca. It, it might be in, it’s a big pharmaceutical company, so you’re probably spending millions of dollars if something’s brewing. [00:04:31] Jay McBain: Yep. But guess what? At the same time, in December on this six month journey. Partners come in with five different paid projects, consulting, advisory design projects, and in this case it was NTT software one, Yash and uh, ISV was there. Yep. But NTT won three different. Deals right at that critical stage. It wasn’t Accenture, it wasn’t Deloitte, NTT at this particular department of AstraZeneca had spent the decades building those relationships. [00:04:58] Jay McBain: So they were the one, and they won critical part of this. And so that’s when the deal is won. And it’s not at April when the money’s being spent. Yeah, it’s, it’s not in March when a couple more ISVs joined the mix, that seven layer stack that solves this particular problem, it was right there. So if you’re a vendor trying to get into that seven layer stack and you don’t have that relationship, or you don’t have the knowledge that NTT or software one is going in, this will have been a deal that would’ve never hit your pipeline and you’ll have no knowledge. [00:05:30] Jay McBain: So you will have lost this deal without knowing there was a deal, which makes up again, the majority of your tam. [00:05:34] Vince Menzione: Yeah. [00:05:35] Jay McBain: But what if I did have this agentic ability to see this deal coming, and I’m a cybersecurity company, I’m just competing for layer five of the deal, but I know that it’s all happening in December. [00:05:46] Jay McBain: So the two things that jump out on this particular slide is one, they don’t just show up in December. [00:05:51] Vince Menzione: Yeah, [00:05:51] Jay McBain: this went closed one in their Salesforce CRM in August, September, well, before the customer ever read an ebook. So now you’re not dealing with a flimsy MQL. You’re dealing with a couple of great, you know, top partner 1000 sized firms. [00:06:09] Jay McBain: One of them is a partner, 30 firm. [00:06:11] Vince Menzione: Exactly. [00:06:12] Jay McBain: That is absolutely going into and earning hundreds of thousands of dollars in services to guide the customer to a millions of dollars in purchase. And, and you can imagine in that boardroom. With A CMO saying, Hey, I got this stuff here. And the head of channels or partnerships saying, no, no, this is real. [00:06:32] Jay McBain: Here’s the names, faces, and places. Yeah. And here’s how it’s happening. And this is exactly, this is the Gantt chart, this is the show up, this is the project, this is the outcome. This is exactly how it’s playing out. Now if I could go back and the board and the C-suite should be asking us, well, how many more deals like this can you see? [00:06:50] Vince Menzione: Yeah. [00:06:51] Jay McBain: If our TAM is, you know, how many billions of dollars? Could you double our pipeline by seeing more of these middle moments? And if we got a couple of months to spend with these partners before they get in front of the customer, could they build more of our portfolio into the deal so we’re not just layer five, maybe we’re layer three and layer five. [00:07:10] Vince Menzione: This slide screams at me. Integr Tech integration Cha. A partner channel integration of tech, uh, whether it’s Crossbeam, whether it’s Partner Tap, whether it’s work span, or any of these other technologies, tackle any of these technologies that are tracking marketplace, that are tracking partner to partner, co-selling. [00:07:30] Vince Menzione: Getting the integration points. The only way to really understand the situation here, because this is a multinational company. Yeah. It’s being touched at all PO points around the globe. And to understand who’s calling who, who’s influencing who, and getting a real view, you know, a uber view of what that looks like is super important. [00:07:47] Jay McBain: It is. And you know, if I’m trying to sell like a cross beam or partner tab or work span or something into my executive team, I’m just showing them this slide. [00:07:54] Vince Menzione: Exactly. [00:07:54] Jay McBain: Would you like to know about this deal? Like you see, October is the start of the timeline here. Would you like to know about this deal in August, September? [00:08:00] Vince Menzione: Yep. [00:08:01] Jay McBain: Would you like to know about it automatically? Again, we’re not waiting for somebody, a human in a cubicle to go fill out a form. We’re not waiting for them to call somebody at our in, in a cubicle at our company. Yeah. We’re literally age genically sharing platforms, and so when this triggers that AstraZeneca and now triggers in our CRM system as well, our team on AstraZeneca gets notified and it gets notified in September before the 28 moments even starts. [00:08:27] Jay McBain: This, the power of this, of doubling, tripling your pipeline and then winning a bigger yield, a bigger percentage of that pipeline. This is the holy grail of our industry, and no one’s gonna get to a hundred percent. You’re not gonna have a hundred percent of your tam covered by your pipeline. No one’s gonna win a hundred percent of that. [00:08:43] Jay McBain: But again, we only have to be 10 or 20% better than our competitors and we need to start moving on this now. [00:08:50] Vince Menzione: So your imperative for the partners here, well everyone watching here today, I mean, this screams to me build your ecosystem strategy in such a strong and succinct way. What else would you say to them? [00:09:00] Jay McBain: I mean, the second thing that jumps out, you see two AWS direct touches here. This is something that this would be inbound. This AWS would see this deal in their pipeline. [00:09:09] Vince Menzione: Yeah. [00:09:10] Jay McBain: Because the customer came to them. AWS lost this deal. Crazy. So Microsoft won this deal. I, I mentioned Microsoft outgrowing AWS Yeah. [00:09:19] Jay McBain: ’cause in this particular case, NTT and Software One and Yash came in with Microsoft. Yeah. To solve an SAP optimization, Microsoft, and, you know, seven layer deal. So whether you’re in AWS, whether you’re in Microsoft, whether you’re anywhere else in this industry, you’re thinking like, you’re not gonna probably overtake what happens in December. [00:09:39] Jay McBain: These are the most trusted, smartest people in the room. And whatever happens in those projects is the seven layer stack the customer’s gonna buy in March, April. So I, I start to think about this and go, I need to win. ’cause NTT has a wonderful relationship with AWS. [00:09:55] Vince Menzione: They do, [00:09:56] Jay McBain: I mean, partner of the year level. [00:09:57] Jay McBain: I mean, they’ve got 10,000 people certified. I mean, there’s just a, you know, there’s no one at AWS that, um, you know, would take a, a loss here because it’s a wonderful relationship. And Software One, they [00:10:09] Vince Menzione: go back to Microsoft actually 30, 40 years though they do. They were Dimension data before that. Yeah. [00:10:14] Vince Menzione: And they have the long hit Legacy And Software One. Software one as well. You, [00:10:19] Jay McBain: you know, well Software one is Microsoft’s biggest reseller, uh, in Europe. And now with Crayon, you know, one of the biggest in the world. So I would be nervous if I was looking at this and saw Software one coming in with NTT and watching these things take place if I were able to see this back in September, October and work with these companies. [00:10:38] Jay McBain: That’s where kind of Microsoft came into the picture. And this never hit Microsoft’s pipeline. No Microsoft salesperson ever worked on it, but millions of dollars came to Microsoft. Yeah. Uh, out of this deal. So there are examples of where Microsoft gets touched and AWS wins the deal. So this isn’t meant to say that it happens in every case, but it’s meant to say data rules the future, and agent ai, the ability to plumb in these boxes. [00:11:00] Jay McBain: Working with Informa tech, target people that can plumb in the boxes for you with third party data, helping you with the light blue boxes. We gotta be obsessed over these light blue boxes. [00:11:11] Vince Menzione: It’s incredible. The Ultimate Partner Winter Retreat is gonna be here in the Boca Studio. This is the third year that we’re gonna be here in Boca. [00:11:21] Vince Menzione: This is always a favorite of our community members, our executive members, our sponsors and speakers. We’ll all be here in the studio, which is a really intimate setting. We can see upwards of 40, 50 people. Uh, we’ll be hosting an incredible dinner at the Boca Resort overlooking the golf course. That’s an incredible property and, uh, we’d love to have you join us. [00:11:45] Vince Menzione: Thank you for being part of the ultimate Partner community, and I hope to see you this year at one of our events. Thank you.

On this weeks episode we are joined by my buddy Gabe Stone. We chat about RGS and AWS and what those orginizations have been working on.  We also spend alot of time talking about ticks and how to keep them off the bird dogs while chasing grouse and woodcock. Finally, we talk about some of the things that they have planned for Pheasant Fest.

Global technology spending is projected to reach $5.6 trillion by 2026, with nearly two-thirds of this investment directed toward software and computer equipment, particularly servers, according to Forrester. Generative AI is cited as a primary driver of this increase, shifting the balance of power toward cloud providers such as AWS and Azure. This escalation has implications for operational margins and the position of IT service providers, as businesses increasingly migrate complex workloads to cloud infrastructure ecosystems.Supporting data shows a disconnect between tech employment trends and hiring activity. In January 2026, technology companies cut approximately 20,155 jobs, mainly in telecommunications, while job postings for tech positions rose by 13% compared to the prior month, based on CompTIA analysis. Dave Sobel interprets this as a shift away from permanent IT headcount to project-based, AI-focused engagements. This development places pressure on service providers, who must adapt to buyers reallocating spend from traditional staffing models to short-term, outcome-oriented contracts.Adjacent discussion covered two press releases: VirtuaCare launched a support offering for Windows-based MSPs needing Apple expertise, delivering an externally verifiable, Apple-certified service. In contrast, Miso announced a roadmap for an autonomous AI L1 technician but did not substantiate claims with deliverables or customer data. Dave Sobel emphasized the need for MSPs to demand piloting, outcome metrics, and auditable product maturity, warning against reliance on unproven AI solutions and highlighting the risk of outsourcing as only a temporary solution.The core implication for MSPs and IT providers is a need for tactical negotiation and operational risk management. Dave Sobel recommends using AI first to reduce internal labor costs before introducing it as a client offering, prioritizing outcome-based pricing and adjusting contracts to retain value from efficiency gains. Providers should avoid becoming displaced labor, rigorously test new technologies before adoption, and remain vigilant regarding vendor claims. The emphasis remains on capturing and defending margins through accountable operations and contract governance rather than chasing speculative innovation.Three things to know today00:00 Tech Spending Hits $5.6T but MSPs Face Margin Squeeze Without AI Pricing Reset05:31 VirtuaCare Ships Apple Support; Mizo Announces Roadmap—One's Testable Today08:17 MSPs Must Capture AI Efficiency Value or Face Margin CompressionThis is the Business of Tech.   Supported by:  Small Biz Thought CommunityCheck out Killing IT

"The market is getting a little more anxious" when it comes to the AI trade, says David Nicholson. He believes the big sell-offs in tech giants like Amazon (AMZN) are overdone and caused by weakening market sentiment on ROI expectations. David makes the case as to why the company's AWS cloud remains a poised winner. He later turns other corners in the tech space by previewing Nvidia's earnings and AI's SaaS impact. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe 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 – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

In this jam-packed news and earnings episode, Simon and Dan dig into the hyperscaler AI spending arms race—and what it could mean for shareholders. They break down Alphabet’s blowout quarter (surging Cloud growth, stronger engagement from AI-powered search, and a push to “own the transaction layer” online), but also debate the market’s unease as buybacks take a back seat to massive capex plans. They then unpack why S&P Global got punished despite only a slight miss, and discuss which parts of the business could be most exposed to AI-driven disruption (while also noting the durability of the ratings moat). Next, they touch on Allied Properties REIT after a brutal drop tied to equity issuance and weakening leasing trends. The episode wraps with Amazon’s strong AWS momentum and accelerating infrastructure buildout, a candid look at Lightspeed’s worrying sequential slowdown and its growing merchant cash-advance/lending exposure, and Spotify’s margin and free-cash-flow surge—plus the competitive threat from YouTube Premium as pricing converges. Tickers of Stocks Discussed: GOOG, AMZN, SPGI, AP-UN.TO, LSPD.TO, SPOT Watch the full video on Our New Youtube Channel! Check out our portfolio by going to Jointci.com Our Website Canadian Investor Podcast Network Twitter: @cdn_investing Simon’s twitter: @Fiat_Iceberg Braden’s twitter: @BradoCapital Dan’s Twitter: @stocktrades_ca Want to learn more about Real Estate Investing? Check out the Canadian Real Estate Investor Podcast! Apple Podcast - The Canadian Real Estate Investor Spotify - The Canadian Real Estate Investor Web player - The Canadian Real Estate Investor Asset Allocation ETFs | BMO Global Asset Management Sign up for Fiscal.ai for free to get easy access to global stock coverage and powerful AI investing tools. Register for EQ Bank, the seamless digital banking experience with better rates and no nonsense.See omnystudio.com/listener for privacy information.

Eric Anderson, partner at VC firm Scale, talks about why coding agents changed software forever and why the AI bubble can't be avoided. Eric worked on Spot Instances at AWS and data products at Google before becoming a VC. He explains how companies can still compete against Anthropic and OpenAI by staying laser-focused instead of fighting on every front.Corey and Eric discuss why AWS didn't kill all startups even when they launched competing products, why the AI bubble can't be avoided when companies go from $1 billion to $7 billion in revenue in one year, and why the best AI products don't scream “AI” everywhere in their marketing.Show Highlights:(02:30) Building Spot Instances at AWS(07:41) Why Coding Agents Changed Everything(10:35) Agents Doing Code Review Now(13:53) Competing with Frontier Labs(17:05) Why AWS Didn't Kill All Startups(19:01) Finding the Right Front to Fight On(22:20) Why the Bubble Is Inevitable(23:36) AI Pricing Will Eventually Crash(26:33) Honeycomb's AI Done Right(28:04) Where to Find EricLinks: Scale: https://www.scalevp.com/Eric on LinkedIn: https://www.linkedin.com/in/ericmand/Sponsored by: duckbillhq.com

In this special episode of Weld Wednesdays with AWS, recorded live at the Inspection Expo & Conference in Austin, Texas, Jason Becker sits down with longtime AWS volunteer and industry veteran Bill Komlos for an in-depth conversation on volunteering on AWS code committees. While most welders, inspectors, and fabricators rely on AWS codes every day, few understand how those standards are actually developed. Bill shares his journey from local AWS section involvement to national technical committees, explaining how volunteers from across the industry—inspectors, fabricators, engineers, and educators—collectively shape the codes that govern welding worldwide. This episode covers why committee participation is open to the public, how involvement can accelerate your career, and why real-world shop experience is essential to keeping codes practical, relevant, and safe. Jason and Bill also discuss mentorship, networking, the value of diverse perspectives, and why the next generation of welders and inspectors is critical to the future of AWS standards. If you've ever complained about a code requirement—or wondered how to get involved in shaping them—this episode is for you.   For more information on how you can get involved with the AWS Click Here

We’ve spent a decade figuring out how to (more or less) securely authenticate humans. Now AI agents are crashing the party, and identity just got a whole lot more complicated. Today we sit down with Dan Moore, Senior Director of CIAM Strategy and Identity Standards at FusionAuth, to explore the collision course between artificial intelligence... Read more »