Jon Myer Podcast

Rural health systems are underfunded, understaffed, and buried in fax machines. Meanwhile, large insurance payers are using automation and AI to deny claims faster than ever — and rural providers often don't have the time or staff to appeal before the deadline passes. The result is money quietly bleeding out of systems that can least afford to lose it.In this episode of Health Reimagined, host Jon Myer (Myer Media, powered by Ingram Micro) sits down with Dan from InfoCap to talk about intelligent document processing, human-centric automation, and why the very fact that rural hospitals are behind on technology might actually put them in the best position to leapfrog the legacy mess that is slowing everyone else down.

Everyone is asking "can AI do this?" But that's the wrong question. The right questions are: does it have the right knowledge, the right tools, and clear enough instructions to do the job? And is your enterprise actually ready for what comes after?In this episode, Jon Myer is joined by Christopher and Diego from Epi-use — two experts in AI architecture, governance, and enterprise implementation — for a frank conversation about why so many agentic AI projects fail, what the successful ones have in common, and why the real bottleneck is almost never the AI itself.Topics covered:Why most companies are implementing AI for the wrong reasons and asking the wrong questionsThe difference between generative AI and agentic AI — vending machine vs. sous chefPilot purgatory — why AI projects get stuck and never make it to productionWhy the AI part is usually the easiest part and the foundation is the heavy liftHow governance becomes the enabler not the obstacle when done rightThe difference between human in the loop and human on the loop — and why it matters for designA real-world case study — a bank that ran 350 agentic AI use cases and what actually workedDo we want true autonomy or accountability? The answer is both⏱️ Timeline0:00 — Introduction — Reframing agentic AI as an evolution that demands first principles thinking0:50 — What companies are getting wrong at the very start — the fascination phase2:13 — Is agentic AI truly novel or just a rebrand of what we already had3:03 — The right questions to ask — knowledge context tooling and instruction4:51 — Pilot purgatory — AI projects stuck in QA that never make it to production5:46 — First principles have not changed — what problem are we solving and what outcome do we want8:50 — Are we implementing true agentic AI or just rebranding existing workflows9:59 — Generative AI as a vending machine vs agentic AI as a sous chef11:51 — Model in the loop — when you are really just calling a more sophisticated API13:33 — Where agentic AI adds the most value — exception handling in enterprise workflows16:40 — Governance as an enabler — why dirty data is a governance failure not an AI failure18:19 — What feels familiar and what feels genuinely new about AI adoption today20:29 — The importance of foundation before implementation — and the rush that bypasses it23:29 — 40% of AI projects will fail by 2027 — and the bank that ran 350 use cases25:18 — What actually determines AI success vs quiet failure26:28 — Human in the loop vs human on the loop — why design matters from day one29:41 — Agentic AI is a business project not a technology project31:05 — Do we want true autonomy or accountability? The answer is both

Data migrations in healthcare have a reputation — difficult, delayed, expensive, and sometimes never fully completed. Years after an EHR go-live, organizations are still running legacy support contracts, paying for systems they should have left behind, and leaving clinical data stranded in systems no one can access.In this episode of Health Reimagined, host Jon Myer (Myer Media, powered by Ingram Micro) sits down with Kaitlin from Quoris — a 26-year-old women-led healthcare IT consulting and staffing firm operating in 10 countries — to talk about what it actually takes to move documentation and data cleanly, on time, and without disrupting patient care.

Technology is changing every few weeks in healthcare — and health system leaders are expected to keep up, upskill their entire workforce, govern AI responsibly, and still deliver measurable outcomes. That is the reality for Sha, CDIO at Baptist Health of South Florida.In this episode, Sha sits down to share his unfiltered perspective on what it actually takes to lead digital transformation at scale — from the decision to go all-in on Epic without customization, to the data quality principles underpinning their AI strategy, to why agentic AI access control is still unsolved, and whether he would let a robot operate on him in five years.Topics covered:Leading technology transformation at Baptist Health of South FloridaWhy technology is changing every few weeks and what that means for workforce upskillingThe two foundational priorities — AI literacy across the organization and robust governanceWhy Baptist chose Epic and the principle of staying close to the foundation⏱️ YouTube Timeline0:00 — Introduction — Meet Sha CDIO at Baptist Health of South Florida0:39 — The intensity and excitement of leading transformation at Baptist Health1:05 — Technology is changing every few weeks — what that means for leaders2:09 — Core principles for driving measurable outcomes in a fast-moving environment2:40 — Infrastructure foundation upskilling and why quarterly training is already dead3:38 — AI governance — non-deterministic by nature and not easy to implement4:20 — Making sure all stakeholders are represented in the governance structure4:50 — The challenge of AI adoption at scale — turning traditional workers into AI-enabled workers5:55 — The Epic decision — choosing a foundation and sticking close to it6:05 — Why Baptist selected Epic and the principle of minimal customization7:07 — Using Epic's best practice data to structure workflows faster and more stably8:13 — Top AI use cases — ambient listening scheduling imaging and clinical decision support9:42 — Automated workflows reducing patient wait times for urgent studies10:35 — Provider burnout is real and clinical decision support is the next game changer11:24 — The three data challenges — quality at the source velocity and security12:45 — Five years of data investment that prepared Baptist for the current AI wave13:10 — Healthcare is the most attacked vertical — the cybersecurity conversation14:02 — Layered security prevention monitoring and the human element as the weakest link14:54 — Resilience and business continuity beyond just security tooling15:59 — Built-in security vs bolted-on security as agentic AI sprawls across systems16:49 — Agentic AI expands the attack surface and access control is still not solved17:17 — What happens when your workforce depends on agents that suddenly go down17:52 — Three-year prediction — end-to-end workflow automation at a scale not yet appreciated19:20 — Who captures the capacity freed by automation will define the next generation of healthcare20:11 — Would you let a robot perform surgery on you in five years?20:17 — Yes — and why LASIK proves the model for what comes next21:31 — A message of gratitude to nurses physicians and every patient-facing provider22:14 — Technology and IT exist only to support the people who actually deliver care23:33 — Closing remarks — leaders drive the change and AI is there to enable better outcomes

A modern hospital can have 40,000 endpoints — laptops, lab stations, nursing workstations, medical IoT devices — and a razor-thin IT team responsible for keeping every single one of them patched, compliant, and secure. Miss just one, and attackers will find it.Recorded live at HIMSS 2026, this conversation features an IT specialist from HCL Software breaking down how BigFix IO is helping healthcare organizations move from reactive patching to proactive, automated endpoint management — at scale, across heterogeneous environments, and with AI-powered remediation bots that work around the clock.Topics covered:Why healthcare IT environments are uniquely complex and difficult to secureThe ransomware threat and why unpatched devices are the entry point attackers exploitHow BigFix IO provides complete asset visibility and compliance across 100+ operating systemsA real customer case study — from 60% to 97% compliance across 40,000 endpoints in two monthsPatching 100,000 endpoints in under an hour with smart scheduling and rollback policiesManaging legacy systems and heterogeneous environments in healthcareHow AI and agentic bots are automating level zero and level one IT tasksConversational bots for patients, IT provisioning, and onboarding through chat, mobile, and voiceThe future of AI in healthcare IT operations⏱️ YouTube Timeline0:00 — Introduction — Live at HIMSS 2026 with HCL Software's IT specialist Rajneesha0:26 — The state of healthcare IT — 40,000 endpoints and a thin IT team0:41 — Why managing and securing a modern hospital environment is a nightmare1:37 — Patching at scale — why it is far more complex than clicking a system update1:50 — Legacy systems, compliance documentation, and the cost of missing a single device2:34 — How attackers exploit unpatched healthcare environments and why downtime is a patient safety issue3:24 — Introducing BigFix IO — a single platform for compliance, visibility, and automation4:30 — BigFix is industry-agnostic — built for speed scale and complete compliance intelligence5:03 — Real customer case study — 60% to 97% compliance across 40,000 endpoints in two months6:15 — Heterogeneous environments — managing 100 plus operating systems including legacy systems6:30 — Patching 100,000 endpoints in under an hour with smart scheduling and rollback policies7:56 — AI in healthcare IT — where the technology has matured and what is now possible8:10 — Agentic bots for auto-remediation and reducing the burden on lean IT teams9:01 — Conversational bots for patients and IT users via chat mobile and voice10:19 — Final thoughts — endpoints are both the biggest opportunity and the biggest vulnerability10:33 — Reaching 98 to 99% compliance in healthcare with BigFix IO

Healthcare call centers are still growing — even as patient portals improve. Patients call to confirm appointments they already know about, reschedule across multiple departments, and check on billing. They wait on hold. They get transferred. They hang up.In this episode of Health Reimagined, host Jon Myer (Powered by Myer Media) sits down with Jeff from SoundHound AI to unpack what agentic AI actually means for healthcare, why voice is the future of the patient experience, and how health systems are using conversational AI to handle complex multi-step tasks — without a single hold time or transfer.

Hospitals want to be safe and open at the same time — welcoming to patients, families, and staff, but protected from weapons, wandering patients, drug diversion, and operational waste. That's exactly the problem Vision AI was built to solve.Recorded live at HIMSS 2026 in Las Vegas, this fireside chat features Matt Benetti, CMO at Vaidio, and Todd Larson, a consultant running the Transformation Center at Honor Health. Todd brings a rare combination of law enforcement experience and hospital innovation leadership to a wide-ranging conversation about how AI-powered cameras are moving from passive data storage to proactive operational intelligence.

Healthcare has spent years and billions modernizing its technology — but how much of it has actually changed outcomes for patients, clinicians, or the bottom line?In this episode of Health Reimagined, host Jon Myer (Myer Media, powered by Ingram Micro) sits down with Monica from Sublimation Health to unpack why so many digital transformation efforts stall, what the difference between modernization and true transformation actually looks like, and what it takes to get people, process, and technology moving in the same direction at the same time.From migration stalls and AI hype cycles to cloud security concerns and merger integration playbooks, this is a frank conversation about what healthcare IT leaders are really up against — and what change management done right actually looks like.

Doctors are spending hours after dinner finishing clinical notes — what the industry calls "pajama time." They're typing while patients talk, missing details, and burning out. And some are retiring early because of it.In this episode of Health Reimagined, host Jon Myer (Myer Media, powered by Myer Media) sits down with Laurent from Nabla to explore how AI-powered clinical documentation is transforming the patient-physician relationship — and why reliability, trust, and deep EHR integration are what separate real clinical AI from tools that are still finding their way.

Behind every hospital's technology stack is a data infrastructure most people never think about — until something breaks, a merger happens, or an AI initiative stalls because the data underneath it is a mess.In this episode of Health Reimagined, host Jon Myer (Myer Media, powered by Ingram Micro) sits down with Jeff from Keystone Technologies, a boutique healthcare IT firm with 25 years of experience helping health systems manage, migrate, and unify their most critical data.From EMR conversions and merger integrations to the SaaS trap and cybersecurity fundamentals, Jeff gives a frank and practical look at what's really happening underneath the hood of healthcare IT — and why the organizations that start unifying their data sooner will get to value faster.Topics covered:Why healthcare data infrastructure is generally described as "a mess"The difference between transactional data and analytics-ready dataWhat EMR data conversions actually look like step by stepHow mergers and acquisitions create winners and losers in healthcare ITThe difference between data and information and why it matters for AIWhy SaaS can become a data silo problem for larger organizationsThe case for virtual private data centers over fragmented SaaS stacksKeystone's four pillar security approach and why it is baked into every engagementWhy the human element is the weakest link in healthcare cybersecurityWhat the first conversation with Keystone looks like for a health system in transitionYouTube Timeline0:00 — Introduction — Data is the foundation everything else depends on0:23 — Meet Jeff from Keystone Technologies and the problem they exist to solve0:47 — The state of healthcare data infrastructure today — generally a mess1:27 — Physical distribution vs. logical silos — where the real problem lives2:27 — What mergers and acquisitions do to the healthcare data landscape3:06 — What an EMR data conversion process actually looks like step by step4:18 — The pressure to modernize for AI and what is actually under the hood5:37 — Data unification as the new frontier in healthcare IT6:34 — Why going deep matters more than going wide after 25 years7:41 — The difference between data and information and why it changes everything8:19 — EMR migrations and why clinical staff must be involved throughout9:13 — The honest take on SaaS — where it helps and where it creates problems10:47 — Security is baked into everything Keystone does — the four pillar approach11:53 — Why security awareness training is the most important defense in healthcare13:58 — Where healthcare data migrations are headed and why activity is ramping up

The Joint Commission has never focused on staffing mandates before — until now. In 2026, everything changed. And most hospitals are still relying on paper records stuffed in filing cabinets to prove they're compliant.In this episode, Process Street CRO Jerry Dimos sits down with Dr. Sarah Inman, SVP of Healthcare Strategy at Improv and a former clinical staffing manager overseeing 400 nurses and patient care technicians. Together they break down what the Joint Commission's new Accreditation 360 framework actually means on the ground, why manual compliance processes are unsustainable in the middle of a nursing crisis, and how automation and agentic AI may be the only realistic path forward.Topics covered:The Joint Commission's brand new staffing mandates for 2026Why Joint Commission visits cause panic even in well-run hospitalsThe root cause of compliance failures — manual processes and lack of forward planningAccreditation 360 — shifting accountability from frontline nurses to the C-suiteThe gap between written policy and what actually happens on the groundHow Process Street automates clinical competency workflows and compliance documentationThe nursing crisis and why adding documentation burden without automation is dangerousWho should own the automation decision — nurses, CTOs, or CNOs?Where agentic AI in healthcare is headed over the next three to five years⏱️ YouTube Timeline0:00 — Introduction — Meet Jerry Dimos and Dr. Sarah Inman0:43 — Dr. Inman's background — 20 years managing clinical staffing1:39 — The Joint Commission's new focus areas for 20261:43 — What makes 2026 different — brand new staffing mandates2:52 — Why Joint Commission visits cause stress and anxiety on the ground3:10 — The universal experience — that audible gasp when they walk in4:02 — Paper records, filing cabinets, and the human element of compliance4:54 — Root cause of compliance failures across hospitals of every size5:16 — Manual processes, lack of forward planning, and the day-to-day grind5:43 — Hospitals spend millions on tech but still run compliance manually6:03 — How Dr. Inman discovered Process Street and the time she would have saved6:57 — Where attention goes — patient care technology vs. compliance workflows7:51 — The palpable relief when leaders realize automation is possible8:02 — Accreditation 360 — from static compliance to dynamic, outcome-driven accountability8:20 — Shifting pressure from frontline nurses to CNO and C-suite leaders9:25 — Turning accountability into reliable, executable processes9:51 — The gap between written policy and what actually happens on the ground10:50 — Can't find the document when you need it most — the Joint Commission scramble11:53 — Patient safety risk when policies aren't clearly documented12:01 — Who owns the accreditation program under the new framework?12:39 — The nursing crisis and adding documentation burden without automation13:31 — Automation as one of the only realistic paths forward14:23 — Advice for nurses and executives — raise it up and look into what's out there14:46 — Should the CTO or nurses drive the automation decision?15:33 — Burnout prevention as a core pillar of Accreditation 36015:52 — A critical decision point — keep scrambling or fix it for good?16:00 — What Dr. Inman is seeing in the field — conversation vs. meaningful action17:13 — Final question — how will agentic AI help hospitals meet the bar?17:45 — Healthcare's shift toward evidence-based AI adoption18:29 — Prediction — healthcare will lead agentic AI adoption in the next 3–5 years19:09 — A future where every nurse has their own personal AI agent19:26 — Not all hospitals are ready — that's where Process Street and Improv come in19:39 — Closing takeaways and what's coming next

More than 60% of surgeries in the US are performed on aging patients — and hospitals are sending them home earlier than ever before. The risk profile hasn't changed. The oversight has.In this episode, EzyBandz COO Eric Grayson sits down with CEO and co-founder Tony Martelli to introduce the EzyBandz Guardian One — a next-generation medical alert platform built specifically for post-discharge and transitional care programs. Tony shares how a personal experience supporting a family member with a disability led him to reimagine what a modern medical alert solution should look like, and why the timing for this technology has never been better.

As healthcare organizations race to adopt cloud infrastructure, most are leaving a dangerous gap between innovation and security. Traditional compliance programs simply can't keep pace — and the consequences can end up as the next data breach headline.Recorded live at HIMSS 2026 in Las Vegas, this conversation features Charlie Clayton, Director of Sales, and Eric Evans, Founder and CTO of Hanabyte — a cloud security firm specializing in regulated industries including healthcare, financial services, and the defense industrial base.Eric breaks down what organizations get wrong when starting their cloud journey, what makes Hanabyte's white-glove approach different, and where cloud security is heading over the next few years.

What if a fully equipped clinic could be set up anywhere in the world in under 10 minutes? From rural communities and disaster zones to schools and major events, GlobalMed is pushing the boundaries of where and how care gets delivered.Recorded live at HIMSS 2026 in Las Vegas, this conversation features Sam Price, EVP at GlobalMed, and Hector Rodriguez from AWS. Together they explore how GlobalMed's digital health platform — powered by AWS infrastructure and LEO satellite connectivity — is transforming access to care for underserved populations, disaster-affected communities, and beyond.Topics covered:GlobalMed's 24-year journey from digital cameras to full telehealth platformsMobile medical units that stand up a clinic in 10 minutes, anywhereThe US rural health transformation program and pop-up clinic opportunitiesHub-and-spoke care models connecting rural clinics to major hospital systemsAmazon LEO satellite network enabling connectivity where broadband can't reachDisaster recovery: maintaining care continuity through hurricanes, wildfires & outagesAI and machine learning to augment provider decision-making at the point of careGlobalMed's global footprint — from the Olympics to conflict zones⏱️ YouTube Timeline0:00 — Introduction — Live from HIMSS 2026 in Las Vegas0:33 — Who is GlobalMed? A 24-year digital health journey1:26 — From telepathology to real-time vitals, EKGs, and ultrasounds2:16 — "Boat with a goat" — delivering care from anywhere on earth2:31 — GlobalMed's role in the US rural health transformation program3:18 — Provider shortages, aging populations, and the case for mobile care4:02 — Mobile medical units: a full clinic set up in 10 minutes4:49 — Direct-to-patient model and expanding specialty care from rural clinics5:29 — Shifting from reactive to preventative care delivery5:35 — Meeting the triple aim: access, affordability, and outcomes6:08 — Amazon LEO satellite network and what it unlocks for rural health6:41 — Why satellite connectivity is a game-changer over broadband and cellular7:27 — Expanding care delivery into schools with telehealth augmentation8:10 — GlobalMed as a disaster recovery solution for rural communities8:47 — Hurricanes, wildfires, and bringing care to people who can't leave9:37 — Cloud data repository: maintaining patient records through outages9:55 — Bridging operational and clinical resilience during disasters10:39 — Small footprint, fast deployment: three clinics behind an F25011:13 — Edge computing and solving connectivity gaps in islands like Puerto Rico11:43 — Combining biomedical device data with AWS AI for smarter care12:35 — Faster provider throughput and medication adherence through AI13:05 — Pop-up clinics aren't just rural — cities and mass events too13:49 — Low cost, fast deployability vs. expensive brick-and-mortar builds14:35 — Super Bowl, Olympics, and temporary clinical surge capacity15:14 — GlobalMed's global footprint and the role of agentic AI15:47 — Training AI models to get ahead of patient needs16:21 — What's next for GlobalMed and AWS in 202616:53 — Closing remarks and partnership reflections

Healthcare facilities consume enormous amounts of energy — and the grid simply can't keep up. With 5% of global carbon emissions coming from healthcare and hospitals being told they can't get any more power from the grid, the pressure to do more with less has never been greater.In this episode of Health Reimagined, host Jon Myer Podcast (Powered by Myer Media) sits down with David from Schneider Electric to unpack the energy and infrastructure challenges reshaping how hospitals operate — from aging brownfield buildings and overspecified electrical systems to digital twins, nano grids, and AI-driven optimization.

Cyberattacks on healthcare organizations aren't slowing down — and the question is no longer if you'll be attacked, but how fast you can stop it.In this episode of Health Reimagined, host Jon Myer (Myer Media, powered by Ingram Micro) sits down with Herb from Arctic Wolf to break down what the healthcare threat landscape really looks like today, why even small hospitals are targets, and how AI-powered security operations are changing the game.From managing sprawling, dynamic asset environments to leveraging agentic AI inside the SOC, Herb shares what it actually takes to harden a healthcare organization's security posture — and why just alerting customers to incidents is no longer enough.

Empty infusion chairs. Patients are waiting weeks for chemotherapy. A 15% national no-show rate that costs clinics thousands of dollars a day. In this episode of Health Reimagined, Jon Myer sits down with Elizabeth from Wrapt Health to talk about how a predictive algorithm, the right integration partner, and a smarter approach to scheduling are transforming infusion centers across the country.Elizabeth shares how Wrapt Health built a platform that predicts no-shows three days in advance with 95% accuracy, how their partnership with DocSpera helped them connect to over 30 EMRs without rebuilding from scratch, and what it means to move from a reactive alert device to a fully connected care infrastructure.If you work in infusion care, healthcare operations, or health IT, this one is worth your time.Learn more about Wrapt Health at wrapcare.comPowered by Ingram Micro | Presented by Myer Media at HIMSS26Key TakeawaysInfusion centers nationally see a 15% no-show rate, with some clinics as high as 30%, costing between $1,500 and $3,000 per day in lost chair timeWrapt Health's algorithm predicts no-shows three days in advance with 95% accuracy by pulling over 40 data points from EMR systemsPartnership with DocSpera provided instant connectivity to over 30 EMRs, dramatically cutting time to market and development costsOne Northern California clinic repurposed 30,000 appointments generating $15 million in value in a value-based care model60% of drugs in the FDA pipeline will be infusions, making chair and resource optimization more critical than everThe predictive algorithm is not limited to infusion — radiology, cardiology, and behavioral health are all on the roadmapYouTube Timeline00:00 — Introduction and welcome00:33 — How Wrapt Health started and the problem it was built to solve01:08 — How the no-show prediction algorithm works01:30 — The scheduling and interoperability challenge in infusion care02:25 — Why infusion scheduling is uniquely complex03:24 — How Wrapt Health built a 95% accurate algorithm using 40+ data points04:30 — How the DocSpera partnership changed the way Wrapt Health operates05:06 — Scaling to 500 infusion chairs in Northern California05:46 — What DocSpera integration means for infusion centers06:48 — Managing multiple stakeholders across operations, clinical, IT, and finance07:16 — The real cost of a missed infusion appointment08:23 — How three-day advance prediction allows smarter patient backfill09:02 — Why DocSpera's surgical scheduling experience translated to infusion09:36 — Real-world interoperability results and the $15 million impact10:49 — 60% of FDA pipeline drugs are infusions — why this matters now11:14 — Advice for early-stage healthcare companies navigating complex integrations12:02 — What's next for Wrapt Health and DocSpera

Why Data Governance, Security, and Infrastructure Readiness Matter More Than Ever.Before any healthcare organization can run AI, they need the infrastructure to support it. In this episode of Health Reimagine, recorded live at HIMSS26, host Jon Myer sits down with Gerry from Cloudticity to unpack what it really takes to get cloud infrastructure ready for the future of healthcare. From technical debt and data governance to cybersecurity and the real reasons 95% of AI deployments are falling short, this is a candid conversation every healthcare IT leader needs to hear.Cloudticity has spent 15 years helping healthcare organizations leverage the cloud securely, managing over 100 million protected health records without a single breach. Their mission is simple: help every human on earth get healthier through the work they do.

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

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

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

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:

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:

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:

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

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

Conversations in Higher Education explores the critical challenges and innovations shaping the future of colleges and universities through candid discussions with leaders on the front lines of transformation. In this episode, Jeff Martinez from Rackspace Technology discusses building a culture of cost accountability, the importance of doing with institutions rather than doing for them, and how genuine partnership built on trust enables innovation while protecting student data.Welcome to Conversations in Higher Education!

Conversations in Higher Education explores the critical challenges and innovations shaping the future of colleges and universities through candid discussions with leaders on the front lines of transformation. In this episode, Patricia Clay shares her community college perspective on restoring trust, embedding AI into curriculum thoughtfully, and removing friction from student experiences while protecting privacy and security.Welcome to Conversations in Higher Education!

Conversations in Higher Education explores the critical challenges and innovations shaping the future of colleges and universities through candid discussions with leaders on the front lines of transformation. In this episode, Gabe Akisanmi tackles the complex challenge of shadow AI in higher education, explaining how institutions can build trust by providing secure, governed AI tools that protect student data while delivering the same capabilities as public AI platforms.Welcome to Conversations in Higher Education!

Conversations in Higher Education explores the critical challenges and innovations shaping the future of colleges and universities through candid discussions with leaders on the front lines of transformation. In this episode, Charron Andrus shares her perspective as a CISO on restoring trust in higher education, the personal liability security leaders now face, and how institutions must protect data while remaining open and transparent to their students and communities.Recorded live at EDUCAUSE 2025 in Nashville, this episode features Charron Andrus, a CISO in higher education, discussing the evolving landscape of security leadership, data governance, and building trust with students in an era where data has become the business.In this episode, Charron discusses:✅ Why trust in higher education is challenged by generational priorities✅ The ROI question: Is college still worth the investment?✅ Personal liability for CISOs: when institutions can't protect you✅ Balancing security with higher education's mission to be open✅ Students taking control of their own data✅ How vendors target institutions to harvest student data✅ The critical importance of data governance✅ Efficiency gaps in student onboarding and identity management✅ Ensuring preferred names and identities flow through all systems✅ Including student voices in technology and security decisions✅ Choosing where to innovate within funding constraintsCharron provides a frank assessment of the security challenges facing higher education today, emphasizing that data is now the business—and institutions must be vigilant about protecting student information while maintaining the transparency and openness that defines the academic mission.Recorded at EDUCAUSE 2025 in Nashville, TennesseeGuest: Charron Andrus, CISO in Higher EducationHost: Jon Myer, Rackspace Technology - Myer Media#HigherEducation #EdTech #EDUCAUSE #CISO #Cybersecurity #DataGovernance #StudentPrivacy #TrustInEducation #DataProtection #HigherEdSecurityYouTube Timeline0:00 - Welcome & Introduction from EDUCAUSE 20250:29 - Top 10 Initiative #1: Restoring trust in higher education0:38 - Generational differences in what students want from college1:53 - The ROI challenge: College degree vs. trade certifications2:47 - Biggest leadership challenges for CISOs today2:52 - Personal liability: When the institution can't protect you4:35 - Balancing security with higher education's mission to be open5:18 - Data is the business—for every industry6:38 - How vendors harvest student data through simple requests7:26 - Balancing data collection with student experience8:37 - Biggest efficiency gaps in higher education8:59 - Onboarding challenges and system fragmentation10:10 - Data sharing between institutions and external entities11:28 - Balancing innovation with sustainable long-term support12:14 - Closing thoughts & thank you

Conversations in Higher Education explores the critical challenges and innovations shaping the future of colleges and universities through candid discussions with leaders on the front lines of transformation. In this episode, Patrick Frontiera from AWS discusses what comes after migrating student information systems to SaaS, how institutions can complete their digital transformation journey, and the strategic opportunities available when modernizing to the cloud.Welcome to Conversations in Higher Education!

Recorded live at EDUCAUSE 2025 in Nashville, this episode features Milos Topic, a higher education technology leader, discussing the fundamental challenges and opportunities facing colleges and universities today.In this episode, Milos discusses:✅ Why restoring trust is an opportunity, not just a challenge✅ Education as the great equalizer and leveling the playing field✅ Building leadership teams: surrounding yourself with people who challenge you✅ Signal-to-noise ratio: cutting through the hype in technology✅ Data privacy: collecting only what you need and giving students control✅ Moving from data to insights to action—not just pretty charts✅ Efficiency gaps: creating flexible, student-centered scheduling✅ Rethinking assessment beyond traditional testing methods✅ Balancing innovation with pragmatic, long-term support✅ Being temporary custodians of great institutionsMilos brings a refreshingly candid perspective on leadership, emphasizing that universities exist for students first, and that great leadership means empowering teams, owning mistakes, and leaving institutions better than you found them.Recorded at EDUCAUSE 2025 in Nashville, TennesseeGuest: Milos Topic, Higher Education Technology LeaderHost: Jon Myer, Rackspace Technology - Myer Media#HigherEducation #EdTech #EDUCAUSE #Leadership #StudentSuccess #TrustInEducation #DataPrivacy #Innovation #CIO #HigherEdLeadershipYouTube Timeline0:00 - Welcome & Introduction from EDUCAUSE 20250:30 - What Milos is looking to get out of EDUCAUSE1:07 - Top 10 Initiative #1: Restoring trust in higher education1:15 - Trust as an opportunity, not just a challenge2:07 - Education as the great equalizer3:01 - Biggest leadership challenges for CIOs today3:54 - Building the right leadership team: never skimp on leadership4:23 - Leadership as a team sport & developing future leaders5:43 - Accountability at the top: when the buck stops with you6:19 - Privacy, transparency & trust with student data7:35 - Moving from data to knowledge, insights, and action8:22 - Collecting the least amount of data necessary9:21 - Understanding that users are often the product10:44 - How legal frameworks lag behind technology innovation11:04 - Biggest efficiency gaps in higher education12:35 - Student-centered scheduling vs. faculty-centered scheduling13:29 - Time to degree and graduation rate metrics13:45 - Balancing innovation with long-term support discipline15:09 - Prioritizing needs for faculty and students16:31 - Being temporary custodians of great institutions16:31 - Closing thoughts & thank you

Welcome to Conversations in Higher Education!

Welcome to Conversations in Higher Education Technology!

Join Jon Myer as he sits down with Kevin Greenway, CTO of 10ZIG, for an in-depth conversation about the evolution of endpoint management, thin and zero clients, and how modern VDI infrastructure is transforming hybrid work environments. From security challenges to AI workloads, discover what IT leaders need to know about securing and simplifying their infrastructure.

In this episode of the Jon Myer Podcast, we dive deep into the cloud infrastructure revolution with Todd Robinson, Founder and President of OpenMetal. As businesses grapple with escalating cloud costs and vendor lock-in, Todd shares how open-source technologies are leveling the playing field.

Join Jon Myer as he sits down with Arthur Hitomi, CEO and Co-founder of Numecent, to explore how application containerization is revolutionizing software deployment and solving critical legacy application challenges.With Windows 10 end-of-life looming and organizations struggling with legacy systems that can't be upgraded, Arthur shares how Numecent's CloudPaging technology is helping companies modernize without rewriting applications. From financial institutions running critical legacy software to defense contractors managing airport infrastructure, discover how containerization eliminates compatibility issues while maintaining security and compliance.What You'll Learn:How application containerization differs from traditional virtualizationReal solutions for Windows XP/98 legacy applications still in productionWhy "migrate once, run anywhere" is now possible with containersHow AI and ML optimize application delivery and packagingSuccess stories from financial services and defense sectorsCloudPaging vs traditional Citrix/VDI approachesPerfect for: IT Leaders, System Administrators, DevOps Engineers, and anyone dealing with legacy application modernization challenges.Guest: Arthur Hitomi, CEO & Co-founder at NumecentHost: Jon MyerKey TakeawaysContainerization vs Virtualization - Application containers are lighter than VMs, isolating apps with minimal OS overhead while solving compatibility conflictsLegacy Application Lifeline - Organizations can modernize Windows XP/98 apps to run on current systems without expensive rewrites or security risksZero Migration Philosophy - With proper containerization, companies never need to migrate applications again as OS versions changeAI-Powered Optimization - Machine learning profiles application usage to deliver only needed components, reducing deployment size and improving performanceIndustry Success Stories - Financial services and defense sectors seeing major wins, including LAX airport infrastructure and recent XP-to-AVD migrationsSecurity Through Isolation - Containers provide better security by compartmentalizing applications and enabling independent updates for vulnerability managementTimeline00:00 Welcome & Introduction00:46 What is Application Containerization?01:30 How App Containerization Differs from Traditional Virtualization03:54 Solving Windows OS Version Conflicts06:10 Deploying Complex Legacy Windows Applications06:42 Windows ME Nostalgia & Legacy System Reality08:36 Numecent Company Background & Services12:48 CloudPaging & CloudPager Products Overview13:21 Industries Benefiting Most from This Technology15:36 Addressing Cloud Migration & Windows 10 End-of-Life20:32 Closing & Thank You

Join Jon Myer as he sits down with Paul Speciale, CMO of Scality, to explore the cutting-edge world of storage technology. In this deep-dive conversation, we unpack how multidimensional scaling and disaggregated architectures are revolutionizing how organizations handle massive data volumes in the age of AI.From unpredictable AI workloads that scale from millions to trillions of tokens, to the challenges of "data hoarding" in modern enterprises, Paul shares real-world insights on building future-ready storage infrastructure.What You'll Learn:The evolution from traditional storage to multidimensional scalingHow disaggregated architectures eliminate bottlenecks and reduce costsWhy modern AI workloads demand flexible, adaptive storage solutionsReal case studies of organizations scaling from thousands to billions of objectsThe three key trends shaping storage's future: ultra-fast flash, AI ops, and cybersecurityGuest: Paul Speciale, CMO at ScalityHost: Jon Myer

Netwrix CEO Reveals How to Lead AI Transformation Without Fear: Building Future-Ready Organizations

In this episode, Jon sits down with Jacek Marmuszewski, founder of Let's Go DevOps, to explore the evolution of DevOps from its chaotic early days to today's specialized platform engineering landscape. Broadcasting from Krakow, Poland's thriving tech hub, Jacek shares his 15+ year journey from Java developer to building a 20+ person DevOps consultancy that addresses some of the most complex infrastructure challenges in the industry.From creating AWS's first-of-its-kind "ultra cluster" with 8TB of unified memory to inadvertently shutting down an entire European country's internet while migrating half a petabyte of data, this conversation is filled with war stories, technical insights, and practical advice for modern DevOps challenges.Key TakeawaysDevOps Evolution: The field has shifted from "hire DevOps to fix everything" mentality to specialized platform engineering roles focused on creating developer highways for faster software deliveryMulti-Cloud Reality Check: True multi-cloud implementations often create more pain than benefits - most companies should focus deeply on one primary cloud provider rather than spreading thin across multiple platformsSecurity-First Approach: Implementing "shift-left" security by embedding scanning tools, least-privilege access, and compliance restrictions directly into reusable platform modulesSpecialization Over Generalization: Rather than trying to solve every problem, focusing on deep expertise in specific areas (AWS/GCP, Linux, cloud-native) delivers higher quality resultsContinuous Learning Culture: Building teams where knowledge sharing and experimentation are encouraged through regular show-and-tell sessions and competitive security testingScale Challenges: Moving from startup "Swiss Army knife" DevOps to an enterprise-scale platform teams requires careful evolution of both technical approach and team structureYouTube Timeline00:00 Introduction - From Krakow to the Cloud00:32 Jacek's 15+ Year DevOps Journey01:33 How DevOps Has Changed Over the Years02:55 What's Missing from Today's DevOps04:40 Introducing Let's Go DevOps - The Team Approach07:11 Specialization vs. Swiss Army Knife Consulting08:09 Biggest Technical Challenges - The "Ultra Cluster" Project09:58 Krakow's Tech Ecosystem Impact11:09 Multi-Cloud Strategy and Reality Check13:48 Security-First DevOps Implementation15:14 Shifting Security Left in Development17:38 Vision for the Future of DevOps19:17 Staying Ahead of the Technology Curve20:18 Achievement Showcase - AWS Ultra Cluster21:12 The "Hot Potato" Project - Half Petabyte Data Migration22:09 When DevOps Accidentally Shuts Down a Country's Internet23:21 Wrap-up and Final Thoughts

In this episode of The Jon Myer Podcast, I'm joined by Christopher Belford, Senior Director at EPI-USE Services for AWS, to discuss the critical challenges and opportunities in enterprise payment processing. We dive deep into real-time reconciliation, fraud prevention, and the future of payment systems for large organizations. Christopher shares valuable insights on how outdated manual processes create risks and inefficiencies, while explaining how modern cloud-based solutions can transform payment operations. Whether you're a CIO, finance leader, or technology professional, this conversation highlights practical strategies to modernize payment systems, reduce fraud, and gain real-time visibility into your financial position.Want to learn more about ERP payment reconciliation solutions? Visit epi.com/payment-services or check out AWS blogs for more information.Key Takeaways

Ep#233 Control Your AI Destiny with OpenOps' Game-Changing BYOAI Approach

In this episode of The Jon Myer Podcast, Jon sits down with Amir Peres, CTO of Yuki Data, to discuss how their middleware solution optimizes Snowflake environments. Amir explains how Yuki applies DevOps principles to data engineering, automatically routing queries to the optimal warehouse size based on metadata analysis. We explore resource management in cloud data platforms, security considerations, and the future of multi-platform data environments. Learn how data teams can focus on creating value instead of managing infrastructure.

N2W

In this episode of The Jon Myer Podcast, we explore the critical importance of Digital Employee Experience (DEX) in modern healthcare with Marcel Calef, Americas Field CTO at ControlUp. Marcel explains how DEX transforms the way healthcare IT supports clinicians and ultimately impacts patient care.The average healthcare employee spends a staggering 30 minutes per day waiting for IT systems to respond – valuable time that could be spent treating patients. Marcel shares insights on how predictive IT support can identify issues before they happen, reducing downtime and frustration for healthcare professionals who need immediate access to patient records and clinical applications.Learn how real-time monitoring and proactive remediation are changing healthcare IT from reactive problem-solving to predictive support that enhances clinician productivity and improves patient outcomes. Marcel also discusses his observations from the recent HIMSS conference and how healthcare technology is evolving from hardware-focused solutions to software services that optimize workflows.⏱️ The average healthcare employee wastes 30 minutes daily waiting for IT issues to be resolved – time that could be spent on patient care.

In this episode of The Jon Myer Podcast, we tackle the critical issue of cybersecurity in healthcare with Jeff Warren, Chief Product Officer at Netwrix. With healthcare organizations increasingly becoming targets for cyberattacks, Jeff shares insights on why these institutions are vulnerable and how they can better protect sensitive patient data.A staggering 84% of healthcare organizations faced cyberattack attempts last year. Jeff explains how attackers repeatedly exploit the same vulnerabilities - from identity management weaknesses to third-party security gaps - and offers practical solutions that go beyond basic HIPAA compliance.We also explore how cloud adoption and AI implementation are creating new security challenges for healthcare organizations. Jeff discusses the dangers of "shadow AI" and why simply meeting regulatory requirements isn't enough to prevent breaches in today's complex digital landscape.Whether you're an IT professional in healthcare or simply interested in how your medical data is being protected, this episode provides valuable insights into building truly resilient security systems in an industry where data protection is literally a matter of life and death.## YouTube Timeline0:00 - Introduction to healthcare cybersecurity discussion with Jeff Warren0:15 - Why healthcare organizations are prime targets for cybersecurity attacks0:40 - Alarming statistics: 84% of healthcare organizations targeted by cyberattacks1:32 - Multiple account vulnerabilities and third-party security challenges2:04 - The Move IT breach example and importance of vendor management3:18 - How employee turnover impacts third-party security management3:59 - Supply chain attacks and the "worm-type" behavior seen with SolarWinds4:53 - HIPAA/HITECH regulations and evaluating security beyond basic compliance5:47 - Why compliance should be viewed as "the floor, not the ceiling"6:40 - Navigating multiple cybersecurity frameworks and implementation challenges7:07 - Benefits of the NIST framework's prescriptive security guidance7:55 - Problems with organizations focusing on minimum compliance requirements8:11 - Moving employee security training beyond basic phishing awareness9:03 - Managing different types of insider threats in healthcare9:37 - Importance of understanding your unique environment and security risks10:38 - Cloud-based and AI-driven technologies in healthcare11:06 - Cloud adoption challenges and security considerations12:04 - Cloud misconfigurations leading to data breaches13:11 - The risks of "shadow AI" and unauthorized AI tool usage14:14 - Providing secure AI alternatives for healthcare staff14:23 - AI training and protecting sensitive data from external exposure15:14 - Public vs. private LLMs and implementing proper security boundaries16:33 - Risks of AI systems exposing data beyond intended access permissions17:14 - Developing proper skill sets for cloud and AI security management18:22 - Closing remarks and outro

In this episode of The Jon Myer Podcast, we dive deep into how Virtual Desktop Interface (VDI) technology is revolutionizing healthcare delivery. Our special guest Kamal Srinivasan, Senior VP of Product and Program Management at Parallels, explains why this 20-year-old technology remains critical in modern healthcare settings and how it's evolving to meet today's challenges.Learn how VDI enables healthcare professionals to securely access patient records and mission-critical applications from any device, anywhere, while maintaining HIPAA compliance. Discover real-world examples of healthcare organizations that have successfully implemented VDI solutions to improve workflow efficiency and enhance patient care. Whether you're an IT professional in healthcare or simply interested in healthcare technology transformation, this episode offers valuable insights into the future of digital healthcare infrastructure.#HealthcareTech #VDI #Parallels #MedicalIT #DigitalHealthcare #CloudComputing #PatientCare #hipaacompliance Key Takeaways

In this groundbreaking episode, Jon Myer welcomes back Amit Saar, CEO of OpenOps, to announce a major shift in their business model: OpenOps is going open source. Amit explains their vision for democratizing automation in the FinOps space by leveraging community collaboration and innovation. Unlike traditional FinOps visibility platforms, OpenOps focuses on bridging the gap between identifying cloud cost issues and implementing automated remediation workflows. Discover how this Apache-licensed platform aims to establish a new industry standard for cloud cost optimization automation while building trust with enterprises. Whether you're a FinOps practitioner, cloud architect, or IT leader, this conversation offers valuable insights into the future of community-driven automation and the role of AI in enterprise cloud management.Key Takeaways

Join Jon Myer as he sits down with Dominic from SnapLogic and James from Strategic Blue to explore how their partnership is driving innovation through strategic AWS cost optimization. Learn how SnapLogic's integration platform benefits from Strategic Blue's flexible discount model, and discover how this collaboration enables rapid deployment of cutting-edge AI capabilities like SnapGPT.Key Takeaways: