Welcome to the Jon Myer Podcast, powered by Myer Media! Today we're diving into the transformative role of AI agents in healthcare and life sciences, exploring how intelligent automation is reshaping patient care, clinical workflows, and research operations in one of the most regulated and mission-critical industries.Joining us is Aaron Jeskey from PTP, a life sciences-focused AWS consulting organization with both Life Sciences and Generative AI competencies—a rare combination globally. We discuss real-world AI agent deployments happening today, from FDA submissions to novel protein generation for cancer research.Key Topics Discussed:✅ PTP's dual competencies: Life Sciences + Generative AI (top 5 globally)✅ Real use cases: IND submissions with CEO voice training✅ Novel protein generation: Training AI to discover new cancer treatments✅ Why healthcare AI requires different security than enterprise deployments✅ FDA and EMA regulations: Data protection and de-identification requirements✅ AWS Bedrock agents and healthcare-specific design patterns✅ The critical importance of generative AI policies before writing code✅ Research vs. clinical: Different risk profiles for billion-dollar ideas✅ Why over-trained LLMs hallucinate more than baseline models✅ Agentic AI validation: Continuous truth-checking against outputs✅ The jump from research to clinical: Security posture changesYouTube Timeline:0:00 - Welcome & Introduction0:42 - What is PTP and their dual competencies (Life Sciences + Gen AI)1:13 - Real-world AI agent problems being solved today2:13 - IND submissions: Training agents on CEO voice for FDA compliance3:03 - Novel protein generation: AI discovering new cancer treatments3:52 - What makes healthcare AI fundamentally different from enterprise4:46 - FDA/EMA regulations: Data protection vs. genetic data privacy5:26 - How AWS enables AI agent adoption in healthcare6:07 - First things to consider before writing code7:01 - The critical importance of organization-wide AI policies7:26 - Research vs. clinical: Different security requirements8:12 - Next evolution: Agentic AI validation and truth-checking9:36 - Why over-trained LLMs hallucinate more10:14 - Closing thoughts & thank you🔔 Don't forget to Like, Subscribe, and hit the notification 🔔 ✔ Subscribe: https://www.youtube.com/jonmyer/?sub_confirmation=1📱 Social Media Twitter: https://twitter.com/_JonMyerWebsite: https://jonmyer.comLinkedIN: https://www.linkedin.com/in/jon-myer/Spotify: https://open.spotify.com/show/0wjJzdIwctq4o4pTXM2KSFLike my sounds? Here's my audio source: https://www.epidemicsound.com/referral/fj9o9k#aws #awscloud #podcast #podcasting #costoptimization #finops #cloudcost #cloudoptimization

Today we tackle the biggest misconception in enterprise IT: that moving to cloud automatically saves money. Chris from EPI-USE explains why treating cloud like "just another data center" becomes expensive, and how strategic assessment before migration prevents costly surprises.Hosted by Jon Myer → The Jon Myer Podcast | Recorded at AWS re:Invent 2025Key Topics Discussed:✅ Why 20-30% waste is typical (sometimes 60-70% in extreme cases)✅ WHALE Assessment: 2-week timeline, minimal client effort, AWS-funded✅ Real savings: Hundreds of thousands annually (30-40% reductions)✅ On-prem pays for capacity; cloud pays for provisioning—critical shift✅ AMD Epic processors: 11-15% efficiency gains without re-architecting✅ T-shirt sizing mistakes: Developers over-provisioning based on on-prem thinking✅ Finding forgotten NT4 systems and reducing footprint pre-migration✅ Processor flexibility: Last year Intel, this year AMD—change annually✅ Cloud Center of Excellence: Essential for guiding decisions✅ Not "Can it move?" but "When can it move?"—5-10 year strategic roadmapYouTube Timeline:0:00 - Welcome & Introduction1:05 - Why cloud migration doesn't automatically mean savings2:11 - Lift-and-shift requires immediate post-migration plan3:05 - Not everything should migrate (legacy, proprietary systems)3:53 - How much waste exists in pre-migration environments?5:10 - T-shirt sizing mistakes and over-provisioning6:36 - Pre-migration assessment: Reducing footprint before moving7:21 - Finding forgotten NT4 systems (turn it off, see who screams)9:03 - What is the WHALE Assessment?9:49 - Why AWS funds assessments that reduce spend10:40 - Timeline: 2 weeks, minimal client effort11:40 - Real savings: Hundreds of thousands annually (30-40%)12:37 - Optimization without re-architecting applications13:28 - AMD Epic processors: 11% efficiency gains generation-to-generation15:18 - Real-world examples: Switching processor types17:14 - Education gap: People forget about EC2 optimization18:49 - Cloud flexibility: Change processor types monthly if needed19:30 - How to get started with EPI-USE20:27 - Closing thoughts & thank you🔔 Don't forget to Like, Subscribe, and hit the notification 🔔 ✔ Subscribe: https://www.youtube.com/jonmyer/?sub_confirmation=1📱 Social Media Twitter: https://twitter.com/_JonMyerWebsite: https://jonmyer.comLinkedIN: https://www.linkedin.com/in/jon-myer/Spotify: https://open.spotify.com/show/0wjJzdIwctq4o4pTXM2KSFLike my sounds? Here's my audio source: https://www.epidemicsound.com/referral/fj9o9k#aws #awscloud #podcast #podcasting #costoptimization #finops #cloudcost #cloudoptimization

Welcome to the Jon Myer Podcast, powered by Myer Media! Today we're diving into the critical world of secure communications, data sovereignty, and mission-critical collaboration systems with Bruno and Chris from Rocket.Chat.We discuss why open source is foundational for government agencies, how federation enables secure cross-workspace collaboration, and what it takes to build collaboration tools that can't fail—from defense operations to emergency response and healthcare.Key Topics Discussed:✅ What makes Rocket.Chat the world's most widely deployed open source collaboration platform✅ Data sovereignty: Self-hosted, AWS, or European Sovereign Cloud options✅ Why open source is a starting requirement for defense and intelligence agencies✅ GDPR, HIPAA, and compliance built into the platform✅ Matrix Protocol federation: Connecting independent secure workspaces✅ Zero trust architecture with continuous reauthorization✅ Iron Bank compliance and security at every dependency level✅ Apps Engine: Custom integrations without isolation✅ Embedding Rocket.Chat into existing systems (single pane of glass)✅ Healthcare use cases: Patient-physician communication in Spain✅ From air-gapped SCIFs to AWS ICMP and European Sovereign Cloud✅ AWS partnership milestones: Digital Workspace Competency and LATAM Rising StarYouTube Timeline:0:00 - Welcome & Introduction0:32 - What is Rocket.Chat and who do they serve?1:06 - Data sovereignty: Why it's pivotal for collaboration2:23 - How data sovereignty affects EU countries (GDPR compliance)4:02 - Why open source enables easy adoption in government5:02 - Self-hosted vs. cloud: Evaluating trade-offs7:03 - Building resilience: Out-of-band capabilities and blended deployments8:10 - How the open source community contributes to the product8:58 - Apps Engine: Custom integrations and extensions10:02 - Real-world example: EU-LISA's Jira integration for DevOps11:29 - Secure federation: US and NATO collaboration across workspaces13:33 - Mission-critical sectors: Command and control, emergency response14:53 - Iron Bank compliance and mobile applications for field personnel15:26 - Healthcare use case: Embedded messaging in Spain17:16 - Typical installation and time to value19:24 - AWS ecosystem achievements: Digital Workspace Competency20:53 - Congratulations: LATAM Rising Star Partner of the Year22:51 - How AWS partnership accelerates customer education24:54 - Closing thoughts & thank you🔔 Don't forget to Like, Subscribe, and hit the notification 🔔 ✔ Subscribe: https://www.youtube.com/jonmyer/?sub_confirmation=1📱 Social Media Twitter: https://twitter.com/_JonMyerWebsite: https://jonmyer.comLinkedIN: https://www.linkedin.com/in/jon-myer/Spotify: https://open.spotify.com/show/0wjJzdIwctq4o4pTXM2KSFLike my sounds? Here's my audio source: https://www.epidemicsound.com/referral/fj9o9k#aws #awscloud #podcast #podcasting #costoptimization #finops #cloudcost #cloudoptimization

Welcome to the Jon Myer Podcast, powered by Meyer Media! Today we're exploring the intersection of open source databases, Kubernetes orchestration, and the explosive growth of AI workloads with Peter from Percona.We discuss why traditional thinking about databases is shifting, how organizations are adapting their infrastructure for generative and agentic AI, and what opportunities exist in the open source ecosystem that too many companies are overlooking.Key Topics Discussed:✅ Why Kubernetes is finally ready for database workloads (and how it matured)✅ Percona's Kubernetes operators for MySQL, Postgres, MongoDB, and Valkey✅ Breaking misconceptions: Data safety and performance on Kubernetes✅ How open source databases like Postgres caught up to AI demand with PG Vector✅ Model Context Protocol (MCP) support coming to mainstream databases✅ The hidden costs of AI: Why observability and efficiency matter more than output✅ Avoiding vendor lock-in: Why open source guarantees freedom as costs scale✅ Data governance and training data quality for AI agents✅ Infrastructure as code: When Kubernetes makes the most sense✅ 2026 challenges: Data growth, cost management, and maintaining skillsPeter's Insights:💡 "Open source always catches up with demand. What fuels innovation is the demand itself"💡 "AI makes it easy to create code, but it won't be production-ready. That's when you need observability to spot inefficiencies"💡 "If you're planning high resource usage, you need the freedom to shop around—that's what open source guarantees"💡 "Database observability isn't sexy dinner conversation, but it's critical when your AI costs are sky-high"💡 "Easy is easy at first, but vendor lock-in becomes painful when you make it big"This conversation cuts through the AI hype to address the foundational infrastructure decisions that will make or break your scaling strategy—from training data quality to avoiding cloud platform lock-in.Guest: Peter, PerconaHost: Jon MyerResources: percona.com | GitHub | Engineering BlogSubscribe for more conversations about databases, cloud infrastructure, AI workloads, and open source strategy.#OpenSource #Kubernetes #DatabasesYouTube Timeline:0:00 - Welcome & Introduction0:54 - What Percona is doing with Kubernetes databases2:42 - Why wasn't Kubernetes traditionally used for databases?4:25 - The shift: Why organizations are adopting Kubernetes now5:15 - Which workloads and organizations benefit most from Kubernetes6:22 - Misconceptions about running databases on Kubernetes7:34 - Are open source databases ready for AI workloads?9:30 - Will AI drive new database features?10:23 - How databases evolved with social media (and will with AI)11:30 - Under-discussed opportunities: Training data and observability13:37 - Why backend efficiency isn't dinner table conversation14:32 - Spotting the right time to invest in emerging areas16:23 - Challenges for 2026: Data growth and efficiency17:55 - The vendor lock-in trap with proprietary databases19:39 - Is this a technology or organizational strategy problem?21:55 - The lost art of understanding infrastructure components24:06 - Emerging trends: Data governance, observability, cost management25:09 - Where to find more information about Percona26:02 - Closing thoughts & thank you🔔 Don't forget to Like, Subscribe, and hit the notification 🔔 ✔ Subscribe: https://www.youtube.com/jonmyer/?sub_confirmation=1📱 Social Media Twitter: https://twitter.com/_JonMyerWebsite: https://jonmyer.comLinkedIN: https://www.linkedin.com/in/jon-myer/Spotify: https://open.spotify.com/show/0wjJzdIwctq4o4pTXM2KSFLike my sounds? Here's my audio source: https://www.epidemicsound.com/referral/fj9o9k#aws #awscloud #podcast #podcasting #costoptimization #finops #cloudcost #cloudoptimization

Welcome to the Jon Myer Podcast, powered by Myer Media! Fresh off the keynote stage at AWS re:Invent 2025, we sit down with Nathan from Metal Toad, an AWS partner helping organizations navigate digital transformation and cloud-native deployment.We unpack the biggest announcements from today's keynote, why they matter, and how these innovations translate into real-world opportunities for enterprises—including when AI might NOT be the right solution yet.Key Topics Discussed:✅ Fine-tuning and distilling models: Making small models more accessible✅ Why small models are the future for accuracy, speed, and edge deployment✅ Nova snapshots: Starting 90% through training, saving millions in costs✅ Real-time AI responses: From 2-3 seconds down to half a second✅ Maintaining engineer flow state with faster AI interactions✅ Kiro going GA: Immediately usable for teams✅ The honest ROI conversation: When NOT to implement AI✅ Moving AI to the edge: Reducing cloud cost variability✅ Trends for 2026: Edge AI adoption accelerating faster than anticipatedNathan's Insights:💡 "Small models can run on smaller form factors—you could actually move them to the edge and run directly on a laptop"💡 "Getting something done to deliver value is better than stopping and starting something newer and shinier"💡 "Calculate ROI first. If it takes 40 hours to implement for 2 hours a week savings, is that worth it?"💡 "Sometimes we tell clients: you don't need AI yet. Building that trust is more important than making a sale"This conversation helps you separate hype from practical implementation, understand immediate opportunities vs. strategic planning needs, and know when to wait before jumping on the AI bandwagon.Guest: Nathan, Metal ToadHost: Jon MyerRecorded at: AWS re:Invent 2025, Las VegasYouTube Timeline0:00 - Welcome from AWS re:Invent 2025 keynote stage0:49 - Game changer: Fine-tuning and distilling small models1:13 - Benefits of small models: Speed, edge deployment, cost1:38 - Real-time innovation and customer experience improvements2:00 - Keeping engineers in flow state with faster responses2:20 - Nova snapshots: Starting 90% through training2:47 - Millions in savings by not training from scratch3:05 - What's immediately usable vs. requiring strategic planning3:47 - Calculating ROI: Is 40 hours of setup worth it?4:13 - How to prioritize when innovation comes all at once4:41 - Rapid assessment: Helping clients understand if they need AI5:23 - The hard conversation: Telling clients they don't need AI yet5:47 - Building trust by saying "not yet"6:09 - 2026 trends: AI moving to the edge faster than anticipated6:33 - Closing thoughts & thank you🔔 Don't forget to Like, Subscribe, and hit the notification 🔔 ✔ Subscribe: https://www.youtube.com/jonmyer/?sub_confirmation=1📱 Social Media Twitter: https://twitter.com/_JonMyerWebsite: https://jonmyer.comLinkedIN: https://www.linkedin.com/in/jon-myer/Spotify: https://open.spotify.com/show/0wjJzdIwctq4o4pTXM2KSFLike my sounds? Here's my audio source: https://www.epidemicsound.com/referral/fj9o9k#aws #awscloud #podcast #podcasting #costoptimization #finops #cloudcost #cloudoptimization

Welcome to the Jon Myer Podcast, powered by Myer Media! Fresh off the keynote stage at AWS re:Invent 2025, we sit down with David from Metal Toad, an AWS partner helping organizations navigate digital transformation and cloud-native deployment.We unpack the biggest announcements from today's keynote, why they matter, and how these innovations translate into real-world opportunities for enterprises accelerating their cloud journey.Key Announcements Discussed:✅ Nova2 model family with stronger model differentiation✅ Frontier models: Long-running AI that learns your team's coding style✅ NovaForge: Earlier access to models in the training process✅ S3 vector storage: Up to 90% cost savings vs. OpenSearch for RAG databases✅ Nova2 Omni: Multimodal inputs for unstructured data (audio, video)✅ Agentic AI: Building compartmentalized "brains" for better controlDavid's Insights:💡 "If you think you need AI, you maybe don't—start by identifying edge cases where problems become too squishy to solve programmatically"💡 Frontier models can run for days or weeks, learning your team's style and growing with you💡 S3 vector storage eliminates expensive always-on containers, paying only for what you use💡 Agentic AI gives you more control over your system vs. "text input and hope for the right output"Whether you're mid-market or enterprise, this conversation helps you prioritize innovation, separate hype from practical implementation, and understand what you can leverage immediately vs. what requires strategic planning.Guest: David Dolan, Metal ToadHost: Jon MyerRecorded at: AWS re:Invent 2025, Las VegasYouTube Timeline0:00 - Welcome from AWS re:Invent keynote stage0:52 - Game-changing announcements: Nova2, S3, Frontier models1:18 - What are Frontier models and why are they exciting?1:57 - Long-running models that adapt to your team2:03 - NovaForge: Earlier access to model training2:29 - Why earlier model access matters for performance2:59 - How AI announcements impact mid-market & enterprise3:15 - S3 vector storage: Up to 90% cost savings4:20 - What teams can leverage immediately vs. strategic planning4:35 - Nova2 Omni: Solving the unstructured data problem5:09 - Advising clients when there's too much innovation at once5:43 - Trends defining cloud and AI for 20266:00 - Agentic AI: Building compartmentalized systems with control6:36 - Closing thoughts & thank you🔔 Don't forget to Like, Subscribe, and hit the notification 🔔 ✔ Subscribe: https://www.youtube.com/jonmyer/?sub_confirmation=1📱 Social Media Twitter: https://twitter.com/_JonMyerWebsite: https://jonmyer.comLinkedIN: https://www.linkedin.com/in/jon-myer/Spotify: https://open.spotify.com/show/0wjJzdIwctq4o4pTXM2KSFLike my sounds? Here's my audio source: https://www.epidemicsound.com/referral/fj9o9k#aws #awscloud #podcast #podcasting #costoptimization #finops #cloudcost #cloudoptimization

Joining us today is Jeff Barr, Chief Evangelist for AWS, recorded live at AWS re:Invent 2025. For two decades, Jeff has documented the evolution of cloud computing through the AWS blog, sharing insights on everything from the launch of EC2 instances to the latest breakthroughs in generative AI and machine learning.In this episode, we explore what's next in the AI-assisted workplace, where this technology is heading, how professionals can navigate the shift to AI-native work, and what guidance Jeff has for individuals and organizations trying to turn AI capabilities into competitive advantages.Key Topics Discussed:✅ The rapid global adoption of AI-assisted development (50%+ in 14 countries)✅ Why developers need to become better human-to-human communicators✅ The shift from writing code to reading and validating AI-generated code✅ Balancing productivity with AI hallucinations and errors✅ The art of prompt engineering and verbose specifications✅ Disposable apps: Building to solve, then rebuilding better next time✅ Why some skills are becoming more valuable in the AI era✅ Swimming upstream: Being an early adopter and giving feedback✅ Language barriers disappearing with AI translation capabilities✅ Jeff's 14 years at re:Invent and stepping back from the AWS blogWhether you're deep in your cloud journey or just getting started, this conversation gives you a front-row seat to the future being built at re:Invent.Guest: Jeff Barr, Chief Evangelist, AWSHost: Jon MyerRecorded at: AWS re:Invent 2025, Las VegasSubscribe for more conversations about cloud, AI, and the future of technology innovation.#AWS #ArtificialIntelligence #CloudComputing #reInvent #AIAssistedDevelopment #GenerativeAI #TechInnovation #JonMyerPodcastYouTube Timeline:0:00 - Welcome & Introduction1:19 - Annual tradition at re:Invent with Jeff Barr2:25 - Surprising speed of global AI adoption3:51 - Jeff's year traveling the world talking to developers4:45 - Key guidance: Step in and use AI tools6:18 - Learning to read code, not just write it7:51 - The personal chef analogy for prompt engineering9:28 - When AI gets it incredibly wrong: The college fund story11:12 - Balancing productivity with hallucinations13:18 - Why the same prompt gives different outputs14:29 - Embracing change: 50 years in tech16:01 - AI breaking down language barriers17:10 - When companies aren't AI-ready18:24 - From experimentation to problem-solving19:42 - Disposable apps: Build, use, toss, rebuild better20:29 - Essential skills for AI-assisted work21:15 - You have to experience it, not just read about it21:40 - What Jeff looks forward to at re:Invent23:42 - Stepping away from the AWS blog after 20 years26:15 - Advice for re:Invent attendees27:19 - Closing thoughts🔔 Don't forget to Like, Subscribe, and hit the notification 🔔 ✔ Subscribe: https://www.youtube.com/jonmyer/?sub_confirmation=1📱 Social Media Twitter: https://twitter.com/_JonMyerWebsite: https://jonmyer.comLinkedIN: https://www.linkedin.com/in/jon-myer/Spotify: https://open.spotify.com/show/0wjJzdIwctq4o4pTXM2KSFLike my sounds? Here's my audio source: https://www.epidemicsound.com/referral/fj9o9k#aws #awscloud #podcast #podcasting #costoptimization #finops #cloudcost #cloudoptimization

Recorded live at EDUCAUSE 2025 in Nashville, this episode features Matt Kaminski, an educational technology leader who challenges conventional thinking about remote vs. in-person learning. Matt shares his innovative approaches to bridging the gap between physical and virtual classrooms while doing more with less.In this episode, Matt discusses:✅ AI challenges: Finding the right tools while managing data privacy✅ Why change is slow in higher education, especially public institutions✅ The need for "train the trainer" approaches to AI adoption✅ Bridging the gap between in-person and online education✅ Why remote students may have better learning retention✅ Creating "equity of experience" with Zoom-enabled classrooms✅ The Netflix for doctors: innovative continuing medical education✅ Why introverts engage more in online learning environments✅ The power of chat for asking questions without fear✅ Reversing the classroom: learn online, discuss in person✅ Leveraging HETMA and vendor partnerships to reduce costs✅ The pilot-normalize-scale-repeat approach to innovationMatt brings a refreshingly contrarian view backed by research and real-world implementation experience, showing how educational technology can actually enhance learning outcomes when thoughtfully deployed—and how building strong vendor relationships can help institutions do more with less.Recorded at EDUCAUSE 2025 in Nashville, TennesseeGuest: Matt Kaminski, Educational Technology LeaderHost: Jon Myer, Rackspace Technology - Myer Media#HigherEducation #EdTech #EDUCAUSE #RemoteLearning #OnlineEducation #AIinEducation #ZoomRooms #EquityOfExperience #FlippedClassroom #EducationalTechnology #HETMATimeline0:00 - Welcome & Introduction from EDUCAUSE 20250:34 - Biggest challenges for CIOs: AI and data privacy1:52 - The fear and unknowns around AI in education2:39 - Understanding where and how to utilize AI3:01 - Bridging gaps between in-person and online education4:15 - Do remote students actually get better education?4:36 - Learning retention research: online vs. in-person5:33 - The Netflix for doctors: continuing medical education6:32 - Why introverts engage more in online environments7:18 - Reversing the classroom: learn online, discuss in person7:58 - Creating consensus through active discussion vs. lecture8:31 - Leveraging HETMA and vendor partnerships9:20 - Challenging vendor quotes to reduce costs10:42 - Balancing innovation: pilot, normalize, scale, repeat11:15 - Closing thoughts & thank you🔔 Don't forget to Like, Subscribe, and hit the notification 🔔 ✔ Subscribe: https://www.youtube.com/jonmyer/?sub_confirmation=1📱 Social Media Twitter: https://twitter.com/_JonMyerWebsite: https://jonmyer.comLinkedIN: https://www.linkedin.com/in/jon-myer/Spotify: https://open.spotify.com/show/0wjJzdIwctq4o4pTXM2KSFLike my sounds? Here's my audio source: https://www.epidemicsound.com/referral/fj9o9k#aws #awscloud #podcast #podcasting #costoptimization #finops #cloudcost #cloudoptimization