Podcasts about aiops

By Doug Green “We're absolutely on the path, and we're not talking five, six, seven years. We're talking in the next 18 to 24 months.” In this episode of the Technology Reseller News podcast, Doug Green speaks with Josh Kindiger, COO and co-founder of Grokstream, about the company's new L1 Agent and what it means for the future of AI-driven network and IT operations. Grokstream is the company behind Grok, an AI-powered predictive agent platform for network and IT operations. The platform comes out of the event intelligence and AIOps space and is designed to help operations teams identify, triage, and resolve recurring issues more efficiently. Kindiger says Grokstream recently released its first role-based agent, the L1 Agent, in beta. The full production release is expected in Q2. The agent is already being used with customers to prove out real-world capabilities. Because many organizations remain cautious about AI-driven automation, Grokstream is starting with low-risk, repeatable use cases. In many operations centers, Kindiger notes, the same incidents occur repeatedly, sometimes accounting for as much as 70% of activity. The L1 Agent is designed to recognize those patterns and guide operators through triage and resolution. For example, if a recurring issue requires a service restart, the system can recommend or automate that step. If a pattern points to a commercial power outage at a site, the agent can help avoid unnecessary dispatches while monitoring backup power systems. Kindiger says the goal is not to remove human oversight immediately, but to build trust through guardrails, staged automation, and operator control. Low-risk automations can be handled end to end, while higher-risk actions may require human approval. The podcast also explores the broader opportunity for enterprises, MSPs, and CSPs. Kindiger says service providers and managed service providers face growing pressure to improve efficiency, reduce costs, and differentiate in competitive markets. AI-driven operations can help them respond faster, lower manual workload, and deliver better service outcomes. The long-term direction is clear: autonomous network operations are coming. Kindiger says companies should begin now because foundational work is needed before they can fully benefit from automation. For MSPs and CSPs, he says the urgency is even greater. Cost pressure is shaping renewals and new customer wins, and AI-powered operations may become a competitive advantage. Learn more at www.grokstream.com

William and Eyvonne discuss recent tech news, including the growing political and community opposition to AI data centers driven by fears over power and water usage. They also analyze the “AI Chip War” as hyperscalers such as AWS and Google invest in specialized silicon for training and inference.  Episode Links: Amid backlash, O'Leary Digital CEO... Read more »

Grokstream: Predictive and Agentic AI Moves IT Operations Toward Self-Healing, Podcast, Grokstream's platform is designed to operate from signals, not noise. The system fuses telemetry across domains, learns continuously from operational data and human feedback, and creates a unified source of truth for IT operations. That allows teams to move beyond correlation and toward understanding what is happening, why it is happening and what should be done next. By Doug Green Grokstream says the next generation of IT operations will not be built around more dashboards, more rules, or faster alert routing. It will be built around AI that can learn, reason, remember, recommend and eventually act with governed autonomy. “Agentic AI must be governed by design,” said Josh Kindiger, CEO of Grokstream. “Predictive intelligence is powerful, but safe, explainable autonomy is what drives real adoption.” In this Technology Reseller News podcast, Doug Green speaks with Josh Kindiger, Co-Founder and COO of Grokstream, about how the company is helping MSPs, CSPs and enterprise IT organizations move from reactive operations toward predictive, self-healing IT environments. The conversation comes as Grokstream advances its Grok L1 Agent, a new role-based agent designed for frontline IT operations teams. The L1 Agent is intended to reduce alert noise before incidents reach the queue, provide intelligent summaries, identify likely root causes, recommend next-best actions and trigger approved remediations inside tools such as Slack, Microsoft Teams and existing IT workflows. For service providers and enterprise operations teams, the problem is familiar. More tools often mean more alerts, but not necessarily more clarity. Traditional rules-based AIOps platforms can help with deduplication and routing, but they often stop short of true incident compression, causal reasoning and prevention. Grokstream is taking a different approach by combining classical machine learning, causal intelligence and generative AI into a single cognitive AI layer. Kindiger explains that Grokstream's platform is designed to operate from signals, not noise. The system fuses telemetry across domains, learns continuously from operational data and human feedback, and creates a unified source of truth for IT operations. That allows teams to move beyond correlation and toward understanding what is happening, why it is happening and what should be done next. A central theme of the podcast is the difference between AI that summarizes and AI that reasons. Grokstream argues that true agentic AI is not simply an LLM attached to a workflow. It requires memory, context, policy guardrails, procedural intelligence and the ability to improve over time. In Grokstream's model, agents begin as assisted tools, then move toward trusted operators and eventually toward predictive autonomous systems. The first practical on-ramp is the L1/NOC environment, where many organizations see the fastest measurable impact. Grokstream says its approach can deliver 2–3x more incident compression beyond traditional deduplication and rules-based correlation, while reducing L1 workload by more than 50% through noise compression, guided resolution and fewer unnecessary escalations. The timing is significant. Grokstream recently announced that Cirion Technologies selected the Cognitive Grok AI platform to support AI-driven predictive operations across Latin America's digital infrastructure. That deployment highlights the growing demand for systems that can detect emerging issues across network, transport and infrastructure layers before customer-facing impact occurs. For MSPs, CSPs and enterprise IT leaders, the message is clear: operational scale cannot be achieved simply by adding more people or more monitoring tools. The next step is an intelligence layer that can unify data, predict impact, explain cause and support governed automation. Grokstream is positioning Grok as that layer: a predictive and agentic AI platform that helps operations teams reduce noise, prevent incidents, improve engineer experience and move toward self-healing IT operations. Learn more at https://grokstream.com/ Related Grokstream Stories on Telecom Reseller Grokstream's Cognitive Grok® AI Platform Selected by Cirion Technologies to Power AI-Driven, Predictive Operations Across Latin America's Digital Infrastructure https://telecomreseller.com/2026/05/20/grokstreams-cognitive-grok-ai-platform-selected-by-cirion-technologies-to-power-ai-driven-predictive-operations-across-latin-americas-digital-infrastructure/ Grokstream Announces Grok® L1 Agent to Advance Predictive and Agentic AI for IT Operations https://telecomreseller.com/2026/04/06/grokstream-announces-grok-l1-agent-to-advance-predictive-and-agentic-ai-for-it-operations/ More Grokstream coverage on Telecom Reseller https://telecomreseller.com/?s=grokstream/

Today our Packet Pushers team assembles to discuss whether the grass is greener on the NetOps or DevOps side of the telemetry fence. William of The Cloud Gambit, Scott of Total Network Operations, and Ned and Kyler of Day Two DevOps discuss the difficulties and differences of getting telemetry and state from devices across different... Read more »

Today’s headline news for Canadian IT solution providers: Dell PowerStore Elite and the reimagined data center: Yesterday at Dell Technologies World, Dell Technologiesintroduced Dell PowerStore Elite, a new enterprise storage platform delivering up to 3x performance over the prior generation and an industry-best 6:1 data reduction guarantee. The platform packs 5.8 petabytes into a single 3U chassis using standards-based E3 NVMe flash, and introduces Dell Cyber Detect, which identifies ransomware with 99.99% accuracy and pinpoints the last known clean copy for recovery. PowerStore Elite ships in July 2026; Cyber Detect for PowerStore follows in Q3. The broader Day 2 announcement also included 11 new PowerEdge servers, expanded Dell Private Cloud support for Broadcom, Microsoft, and Nutanix stacks, Dell PowerProtect One for simplified cyber resilience, and two new automation products: the Dell Automation Platform and Dell Automation Studio. Jeff Clarke’s tokenomics keynote: In Tuesday’s Day 2 keynote at DTW, Dell COO Jeff Clarke presented a set of ten fundamental shifts from the past year whose through-line is what he called tokenomics. The math: model prices fell 80% per token; token consumption is up 10x; GenAI software spend tripled. Net effect – AI is getting more expensive for most organizations, not less. Clarke illustrated the stakes with a concrete example: one developer running a single agentic use case on the public cloud can burn approximately $3,400 per day in token costs; the same workload runs at zero incremental cost on on-premises infrastructure. Clarke confirmed Dell moved its own operations to on-prem after internal token costs became untenable, and described work underway on what he called “token routing” – an orchestration layer that would automatically direct tasks to either a deskside AI workstation or data center hardware based on workload. He closed with three imperatives: know your token consumption, find your super users, and lead the operating model change or be disrupted by it. Intezer launches Amplify Partner Program: Intezer has officially launched its Intezer Amplify Partner Program, naming channel veteran Mark Daggett as vice president of global channels and alliances. The program formalizes Intezer’s channel investment as demand for AI-driven security operations grows and the talent gap in security operations continues to widen. According to Intezer, the program is designed to help MSSPs and solution providers step in where internal security teams lack the capacity to operationalize AI-powered alert triage and threat investigation, translating the company’s platform capabilities into managed and co-managed service offerings. Check Point agentic network security orchestration: Check Point announced an agentic network security orchestration platform on Monday designed to replace decades of rule-based complexity, reducing network policy management from months of manual effort to minutes of verified, automated action. The announcement is part of a broader Check Point push into agentic security capabilities across its Infinity platform. Zendesk unveils Autonomous Service Workforce: At its annual Relate conference, Zendesk announced the Autonomous Service Workforce, a product vision built around specialized AI agents priced per resolution rather than per seat. Key launches include a no-code Agent Builder, omnichannel coverage with shared context, and a real-time Quality Score applied to every interaction – human or AI. Riverbed extends Aternity AIOps: Riverbed has released new Aternity digital experience (DEX) capabilities positioning AIOps as proactive disruption prevention rather than reactive monitoring, giving IT teams predictive intelligence before end-user experience degrades. WinMagic brings zero trust to legacy OT: WinMagic has introduced Continuous Identity Assurance, a hardware-bound approach to endpoint identity that extends zero trust controls to air-gapped systems and legacy operational technology environments traditionally outside the reach of modern identity platforms. Read Full Transcript Welcome to The Buzz from ChannelBuzz.ca, I’m Robert Dutt, today is Wednesday, May 20, 2026, and here’s what’s happening in the channel today. Continuing coverage from Dell Technologies World in Las Vegas, where yesterday’s Day 2 product announcements shifted the spotlight from the partner program to the infrastructure portfolio. The headline item was Dell PowerStore Elite, which Dell is positioning as a new class of enterprise storage platform built for what it calls an AI-era data center. According to the company, PowerStore Elite delivers up to three times the performance of the previous generation through software-driven improvements, and backs it all with what Dell describes as an industry-best 6:1 data reduction guarantee – up from 5:1 – a number it says carries real weight in today’s supply-constrained flash market. The platform packs up to 5.8 petabytes of effective capacity into a single 3U chassis using industry-standard E3 NVMe flash rather than proprietary drives, giving partners and their customers more flexibility on cost and sourcing. The cyber resilience angle is where it gets interesting for MSPs. Dell is introducing Dell Cyber Detect for PowerStore, which inspects data at the byte level and is positioned as being able to identify ransomware with 99.99% accuracy – surfacing the last known clean copy so organizations can recover fast. That capability will be available in Q3 2026. PowerStore Elite itself is set for global availability in July. The broader data center announcement also included 11 new PowerEdge servers spanning both air-cooled and liquid-cooled environments, expanded Dell Private Cloud support for Broadcom, Microsoft, and Nutanix software stacks, and two new automation products: the Dell Automation Platform, which pairs AI agents with a conversational interface for infrastructure deployment and management, and Dell Automation Studio for building custom, full-stack orchestration workflows. Nearly 20,000 customers already run PowerStore globally, and Dell is emphasizing that existing deployments can cluster with PowerStore Elite without disruption – a meaningful selling point for partners managing live customer environments. The second big story out of Las Vegas yesterday is one that deserves some unpacking. During his keynote, Dell’s chief operating officer Jeff Clarke laid out what he called ten fundamental changes in the past twelve months – and the thread running through the whole list is a single concept: tokenomics. The numbers Clarke presented tell a story that’s easy to miss if you only hear the headline. Model prices have fallen roughly 80% per token in the last year – sounds like great news. Except token consumption is simultaneously up ten times. And GenAI software spend has tripled in twelve months. The net effect is that AI is actually getting more expensive for most organizations, not less. Clarke made it concrete with a single example: one developer, one agentic use case, building a software tool. On the public cloud, that use case can run up roughly $3,400 a day in token costs. Running the equivalent workload on on-premises infrastructure with local models? Zero incremental dollars. Clarke went further and confirmed that Dell itself made the shift to on-premises AI after its own token costs became untenable – which is a different kind of endorsement than anything you hear from a keynote stage. He also flagged something worth watching: Dell is working on what he called token routing, an orchestration layer that would automatically determine whether a given task is better handled by a deskside AI workstation or by data center infrastructure. He was clear it’s still in development, but it signals where Dell sees the intersection of its PC and server businesses heading. Clarke closed his keynote with three actionable imperatives: know your token consumption, find your super users, and lead the operating model change or be disrupted by it. That first one is the real challenge for most organizations – and the one an MSP or trusted advisor can walk into and own. Away from Las Vegas now, and Intezer has officially launched its Intezer Amplify Partner Program, naming industry veteran Mark Daggett as vice president of global channels and alliances to lead the effort. The program formalizes the company’s channel investment at a moment when demand for AI-driven security operations is accelerating. Intezer’s pitch to the channel is essentially a gap-filling argument: internal security teams are drowning in alert volume while the talent required to triage and investigate those alerts remains in short supply. The Amplify program is designed to equip partners to step into that gap, delivering Intezer’s automated alert triage and threat investigation capabilities as a managed or co-managed offering. The appointment of a dedicated channel VP is the clearest signal yet that Intezer is treating the channel as a primary route to market, not a secondary one. Partners building out managed security or MSSP practices looking to differentiate around AI-augmented SOC capabilities have another option worth a closer look. In Brief –  Check Point launches an agentic network security orchestration platform it says collapses months of manual policy work into minutes of verified action.  Zendesk unveils its Autonomous Service Workforce at the Relate conference, introducing per-resolution AI agent pricing and a no-code Agent Builder.  Riverbed announces new Aternity digital experience capabilities designed to shift AIOps from reactive visibility to proactive disruption prevention.  WinMagic introduces Continuous Identity Assurance, anchoring identity verification in hardware to extend zero trust protocols to air-gapped and legacy OT environments.  Full details and links in the show notes or the blog post. Later today on In The Channel, still from the show floor at Dell Technologies World, I sit down with Rob Emsley, director of cyber resilience marketing at Dell Technologies, on why 97% of cyber attacks now specifically target the backup infrastructure – and what it actually means to build a resilience strategy around the concept of the minimum viable company. And if you haven’t heard yesterday’s episode yet, check out my conversation with Alan Ashby, Dell’s senior director of Americas data center presales and specialty sales, on the practical infrastructure realities of the AI boom – from a deskside AI workstation for an SMB to consolidating 13 legacy servers into one. That’s how we’re seeing the headlines today. I’m Robert Dutt for ChannelBuzz.ca, thanks for listening. Have a great day.

As the software world is transforming from cloud native to AI-native, observability must transform with it. But how exactly? How do we apply this in an existing enterprise with established processes and practices?In this PurePerformance episode, Andi Grabner hosts Hilliary Lipsig and Rob Rati to discuss their new book, Observability in the AI‑Native Era. The conversation explores how AIOps, automation, and modern observability must evolve as systems become cloud‑native, data‑heavy, and AI‑driven.We talk about why old alerting and SLO models no longer scale, how to balance AI with automation and human judgment, and why trust, security, and compliance matter more than ever when machines start making operational decisions. A must‑listen for SREs, platform engineers, and engineering leaders navigating the AI‑native future.Links we discussedBook on Amazon: https://www.amazon.com/Observability-AI-Native-Era-Artificial-Intelligence-ebook/dp/B0GHZH1YFLHilliary LinkedIn: https://www.linkedin.com/in/hilliary-lipsig-a5935245/Rob LinkedIn: https://www.linkedin.com/in/roberthrati/Andi LinkedIn: https://www.linkedin.com/in/grabnerandi/

Eyvonne and William sit down with Joseph Nicholson, a Network Operations Engineer with NTT DATA, to share how public speaking transformed his career and technical experience. Joseph went from a terrifying ten minute lightning talk at AutoCon 2 to presenting 45-minute sessions at conferences like NANOG. Together they discuss how conversations in conference halls influenced... Read more »

The Federal Government has made artificial intelligence and network security a strategic priority, so agencies must modernize legacy systems, mitigate data siloes and adhere to complex compliance requirements. With Peraton's system integration tools and Federal AI expertise combined with NetApp's intelligent data infrastructure and ai-ready data center, agencies are transitioning from AI experimentation to delivering operational impact at scale by modernizing mission delivery, streamlining decision-making and enhancing security. Discover how to modernize and unify critical systems, embed security and governance at the data layer and deliver high-performance AIOps across platforms built for hybrid and multicloud environments. platforms that enable AIOps across Fill out the form to access the Peraton and NetApp podcast series to explore how modern data infrastructure can close the Government AI readiness gap with secure, mission-aligned AI capabilities.

Eyvonne Sharp and William Collins speak with Sif Baksh, Principal Solutions Architect at Tines, to discuss the power of automation. Sif shares some personal stories of how he has been able to use automation to innovate and modernize networking operations. They also discuss the importance of learning AI and using it as a tool, how... Read more »

The episode identifies a structural shift in the integration of generative AI within organizational workflows: variable cost models, unpredictable output quality, and heightened accountability requirements are converging to reshape managed services operations. This shift is exemplified by Anthropic's move toward usage-based pricing for Claude Enterprise, combining compute consumption with per-user fees, and by reports of major enterprises and intelligence agencies piloting dedicated cybersecurity-focused generative AI models. These trends expose IT service providers, especially MSPs, to cost volatility, operational risk, and new governance challenges as generative AI transitions from experimental implementation to core workflow tooling. Primary evidence includes Anthropic's revised pricing strategy, which replaces predictable licensing with usage-based billing, introducing financial unpredictability for heavy users. The episode cites reporting from The Verge and The Guardian, noting that AI-generated outputs can create hidden labor through the need for manual review and corrections, while undetected errors escalate into operational disputes and rework. The implementation of generative AI in security-sensitive environments underscores the need to scrutinize how AI-driven processes are metered and governed. Supporting developments reinforce this shift: MSP platform providers such as Enable are embedding generative AI directly into operational workflows, connecting third-party tools to live data. This creates the need for controls over what AI systems can access, approve, and log, particularly in multi-tenant environments. Meanwhile, outcome-based service agreements—such as fixed response-time SLAs—set new client expectations for measurable performance and accountability in AI operations. The market is also rewarding those who wrap unmanaged technology surfaces, like BYOD or AI tooling, with enforceable policies and auditable evidence trails. Operational implications for MSPs include increased pressure on margins due to AI's variable usage costs colliding with fixed-fee contracts, the challenge of capturing and reporting hidden labor from AI output review, and the necessity for evidence-based governance. Service providers unable to implement and sell AI operations management (“AIOps”) as a billable, controlled service risk becoming de facto shock absorbers for unpriced spend, rework, and disputes. Those who standardize on enforceable budgets, approval gates, audit trails, and compliance-ready reporting stand to protect service margins and reduce liability exposure. 00:00 AI Cost Reckoning 02:39 AI Governance Gap 04:44 Govern or Lose 07:12 Why Do We Care?  Supported by:  TimeZest Zero Networks 

“Technologien kommen in Wellen, nicht in Sprints” In dieser Episode spricht Franz Kubbillum mit Andreas Baresel, CEO der DATAGROUP. Das Unternehmen mit rund 4.000 Mitarbeitenden und gut 500 Millionen Euro Umsatz ist ein führender IT-Service-Provider „Made in Germany“, der für gehobene mittelständische Kunden die komplette Basis-IT vom Arbeitsplatz bis zu Business-Applikationen betreibt. Im Zentrum steht die „CORBOX“, eine standardisierte IT-Service-Produktsuite, mit der DATAGROUP immaterielle IT-Dienstleistungen über Jahre konsequent produktisiert, automatisiert und mit KI weiterentwickelt hat. Baresel, der 2012 über eine Akquisition zur DATAGROUP kam und seit 2022 CEO ist, beschreibt seinen Weg vom Geschäftsbereichsleiter zum Vorstand und schließlich an die Unternehmensspitze – einschließlich der Entscheidung, eine zentrale „Produktions“-Organisation für IT-Services aufzubauen und Verantwortung bewusst „dort zu lassen, wo sie hingehört“. Er erläutert, warum C‑Level für ihn eine Marathonaufgabe mit Hochs und Tiefs ist, welche Routinen (wie das monatliche „Durchtelefonieren“ der Einheiten) ihm helfen, das Geschäft nah an den operativen Realitäten zu steuern, und weshalb persönliches Gespräch und Telefonat für echte Führung und Entscheidungsfindung E‑Mail und Chat oft überlegen sind. Zudem zeigt er, wie DATAGROUP mit eigener AIOps‑Technologie („Core Intelligence“) bereits heute zehntausende IT‑Tasks automatisiert und damit Skalierung, Effizienz und den Standortvorteil „IT made in Germany“ absichert. Weitere Fragen, die Baresel in dieser Episode beantwortet, sind: - Wie gelingt der Spagat zwischen standardisierten IT-Services und der vom Kunden erwarteten Individualität – und welche Rolle spielt die CORBOX dabei? - Wie nutzt DATAGROUP KI und AIOps konkret im IT-Betrieb, und welchen Einfluss wird KI langfristig auf IT-Services und Produktivität im Mittelstand haben? - Welche Karriere- und Leadership-Learnings zieht Barresel aus 14 Jahren bei DATAGROUP – von Opportunismus und Initiative über Teamaufbau bis zu persönlicher Resilienz im C‑Level? Themen: - C-level - Automations & AIOps - KI im IT-Betrieb - Kommunikation ----- Über Atreus – A Heidrick & Struggles Company Atreus garantiert die perfekte Interim-Ressource (m/w/d) für Missionen, die nur eine einzige Option erlauben: nachhaltigen Erfolg! Unser globales Netzwerk aus erfahrenen Managern auf Zeit zählt weltweit zu den besten. In engem Schulterschluss mit den Atreus Direktoren setzen unsere Interim Manager vor Ort Kräfte frei, die Ihr Unternehmen zukunftssicher auf das nächste Level katapultieren. ▶️ Besuchen Sie unsere Website: https://www.atreus.de/ ▶️ Interim Management: https://www.atreus.de/kompetenzen/service/interim-management/ ▶️ Für Interim Manager: https://www.atreus.de/interim-manager/ ▶️ LinkedIn-Profil von Andres Baresel: https://www.linkedin.com/in/andreasbaresel/ ▶️ Profil von Franz Kubbillum: https://www.atreus.de/team/franz-kubbillum/

Vibe coding: give AI a description of what you want, the model writes the code, you ship it, and then you hope for the best. It works great for side projects, but it can fall apart the moment you point an AI agent at production infrastructure. Today, William and Eyvonne sit down with John Capobianco,... Read more »

In this episode, Michael Nappi, Chief Product and Engineering Officer at ScienceLogic, shares insights into AI Ops, its role in modern IT management, and how it helps large enterprises and MSPs streamline their infrastructure monitoring and management. Discover how AI-driven automation and observability are transforming IT operations.

Databricks Roundtable episode: Operationalizing AI Agents: From Experimentation to Production. Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps GPU Guide: https://go.mlops.community/gpuguideBig shout-out to Databricks for the collaboration!// AbstractThis panel discusses the real-world challenges of deploying AI agents at scale. The conversation explores technical and operational barriers that slow production adoption, including reliability, cost, governance, and security.The panelists also examine how LLMOps, AIOps, and AgentOps differ from traditional MLOps, and why new approaches are required for generative and agent-based systems. Finally, experts define success criteria for GenAI frameworks, with a focus on robust evaluation, observability, and continuous monitoring across development and staging environments.// BioSamraj MoorjaniSamraj is a software engineer working on the Agent Quality team. Previously, Samraj worked at Meta on ads/product classification research and AppLovin on MLOps. Samraj graduated with a BS+MS in Computer Science from UIUC, advised by Professor Hari Sundaram, where he worked on controllable natural language generation to produce appealing, interpretable science to combat the spread of misinformation. He also worked with Professor Wen-mei Hwu on accelerating LLM inference through extreme sparsification.Apurva MisraApurva is an AI Consultant at Sentick, focusing on assisting startups with their AI strategy and building solutions. She leverages her extensive experience in machine learning and a Master's degree from the University of Waterloo, where her research bridged driving and machine learning, to offer valuable insights. Apurva's keen interest in the startup world fuels her passion for helping emerging companies incorporate AI effectively. In her free time, she is learning Spanish, and she also enjoys exploring hidden gem eateries, always eager to hear about new favourite spots!Ben EpsteinBen was the machine learning lead for Splice Machine, leading the development of their MLOps platform and Feature Store. He is now the Co-founder and CTO at GrottoAI, focused on supercharging multifamily teams and reducing vacancy loss with AI-powered guidance for leasing and renewals. Ben also works as an adjunct professor at Washington University in St. Louis, teaching concepts in cloud computing and big data analytics.Hosted by Adam Becker// Related LinksWebsite: https://www.databricks.com/https://mlflow.org/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Samraj on LinkedIn: /samrajmoorjani/Connect with Apurva on LinkedIn: /apurva-misra/Connect with Ben on LinkedIn: /ben-epstein/Connect with Adam on LinkedIn: /adamissimo/Timestamps:[00:00] Introduction[02:30] AI Agents in Operations[04:36] AI Strategy Consulting[05:30] Agent Quality Focus[06:17] AI Agent Expectations[11:44] AI Use Cases Evolution[15:25] Agent Expectations Adjustment[17:41] Agent Quality Monitoring[23:22] Trust in GenAI Systems[33:33] Data Prep vs Product Thinking[40:27] Quality Systems Distinction[44:54] Q & A[1:00:57] Wrap up

William Collins and Eyvonne Sharp invite Skylar Sands, Senior Automation Engineer at World Wide Technology, to discuss what it means to integrate AI into the daily workflow in a meaningful way. Together they break down the shift in the automation engineer's role now that AI can instantly generate the “toolkit” of Python, Ansible, and Bash,... Read more »

In this sponsored episode, FluidCloud co-founders Sharad Kumar and Harshit Omar sit down with William and Eyvonne to discuss how FluidCloud tackles multi-cloud portability. They detail how FluidCloud acts as a cloning platform that scans an existing cloud or VMware environment, extracts complex infrastructure configurations (including compute and storage, as well as firewall rules and... Read more »

The tech industry is split between two fantasies  – that AI writes production software while you get coffee, and that everything AI touches is slop. The reality is messier and more interesting: AI tools are force multipliers for people who already know what good looks like, and an expertise amplifier disguised as an easy button. ... Read more »

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 »

Big thanks to ‪@Cisco‬ for sponsoring this video and sponsoring my trip to Cisco Live Amsterdam. Will AI replace network engineers in 2026? In this video, I sit down with Joe Vaccaro (VP/GM of Cisco ThousandEyes) to reveal the truth about "Agentic Ops" and how it differs from traditional AIOps. We dive deep into the new "Digital Teammate" concept within ThousandEyes and demo exactly how AI agents can autonomously troubleshoot complex network outages (like DHCP and DNS failures) in seconds. Instead of taking your job, Joe explains how these agents act as a force multiplier for your career—handling the tedious "mean time to innocence" tasks so you can focus on architecture. If you are worried about the future of the CLI or manual troubleshooting, you need to see this demo. Key Topics Covered: • Cisco Agentic Ops Explained: Joe Vaccaro breaks down the shift to autonomous reasoning. • ThousandEyes Demo: Watch an AI agent diagnose a DHCP failure and suggest the exact fix (subnet expansion). • Views Explainability: How to troubleshoot "unknown paths" and ISP outages (like AWS/Azure) automatically. • Career Survival Guide: Why Cisco believes AI will train the next generation of CCIE-level engineers, not replace them. //Joe Vaccaro's SOCIAL // Cisco Blogs: https://blogs.cisco.com/author/vaccaroj LinkedIn: / joevaccaro X: https://x.com/joevaccaro X: https://x.com/thousandeyes Website: https://www.thousandeyes.com/ // David's SOCIAL // Discord: discord.com/invite/usKSyzb Twitter: www.twitter.com/davidbombal Instagram: www.instagram.com/davidbombal LinkedIn: www.linkedin.com/in/davidbombal Facebook: www.facebook.com/davidbombal.co TikTok: tiktok.com/@davidbombal YouTube: / @davidbombal Spotify: open.spotify.com/show/3f6k6gE... SoundCloud: / davidbombal Apple Podcast: podcasts.apple.com/us/podcast... // MY STUFF // https://www.amazon.com/shop/davidbombal // SPONSORS // Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com // MENU // 0:00 - Coming up 0:42 - Troubleshooting 02:00 - ThousandEyes Updates 03:52 - Demo 1 06:50 - Agentic Steps on a network 07:26 - Demo 2 10:50 - ThousandEyes Outages Page 11:34 - Agents in ThousandEyes 13:49 - New Demands by AI 14:14 - Will AI Replace Network Engineers ? 15:15 - Will The Agents Need a Human in the loop? 16:10 - Will This become More Autonomous ? 16:48 - Conclusion & Outro Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! Disclaimer: This video is for educational purposes only. #cisco #ciscolive #ciscoemea

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 »

Cloud bills are climbing, AI pipelines are exploding, and storage is quietly becoming the bottleneck nobody wants to own. Ugur Tigli, CTO at MinIO, breaks down what actually changes when AI workloads hit your infrastructure, and how teams can keep performance high without letting costs spiral. In this conversation, we get practical about object storage, S3 as the modern standard, what open source really means for security and speed, and why “cloud” is more of an operating model than a place. Key takeaways• AI multiplies data, not just compute, training and inference create more checkpoints, more versions, more storage pressure • Object storage and S3 are simplifying the persistence layer, even as the layers above it get more complex • Open source can improve security feedback loops because the community surfaces regressions fast, the real risk is running unsupported, outdated versions • Public cloud costs are often less about storage and more about variable charges like egress, many teams move data on prem to regain predictability • The bar for infrastructure teams is rising, Kubernetes, modern storage, and AI workflow literacy are becoming table stakes Timestamped highlights00:00 Why cloud and AI workloads force a fresh look at storage, operating models, and cost control 00:00 What MinIO is, and why high performance object storage sits at the center of modern data platforms 01:23 Why MinIO chose open source, and how they balance freedom with commercial reality 04:08 Open source and security, why faster feedback beats the closed source perception, plus the real risk factor 09:44 Cloud cost realities, egress, replication, and why “fixed costs” drive many teams back inside their own walls 15:04 The persistence layer is getting simpler, S3 becomes the standard, while the upper stack gets messier 18:00 Skills gap, why teams need DevOps plus AIOps thinking to run modern storage at scale 20:22 What happens to AI costs next, competition, software ecosystem maturity, and why data growth still wins A line worth keeping“Cloud is not a destination for us, it's more of an operating model.” Pro tips for builders and tech leaders• If your AI initiative is still a pilot, track egress and data movement early, that is where “surprise” costs tend to show up • Standardize around containerized deployment where possible, it reduces the gap between public and private environments, but plan for integration friction like identity and key management • Treat storage as a performance system, not a procurement line item, the right persistence layer can unblock training, inference, and downstream pipelines What's next:If you're building with AI, running data platforms, or trying to get your cloud costs under control, follow the show and subscribe so you do not miss upcoming episodes. Share this one with a teammate who owns infrastructure, data, or platform engineering.

In this episode, we sit down with Adam Zimman, author and VC advisor, to explore the world of progressive delivery and why shipping software is only the beginning. Adam shares his fascinating journey through tech—from his early days as a fire juggler to leadership roles at EMC, VMware, GitHub, and LaunchDarkly – and how those... Read more »

The industry has pivoted from scripting to automation to orchestration – and now to systems that can reason. Today we explore what AI agents mean for infrastructure with Chris Wade, Co-Founder and CTO of Itential. We also dive into the brownfield reality, the potential for vendor-specific LLMs trained on proprietary knowledge, and advice for the... Read more »

Dr. Chris Marshall analyzes AI from all angles including market dynamics, geopolitical concerns, workforce impacts, and what staying the course with agentic AI requires.Chris and Kimberly discuss his journey from theoretical physics to analytic philosophy, AI as an economic and geopolitical concern, the rise of sovereign AI, scale economies, market bubbles and expectation gaps, the AI value horizon, why agentic AI is harder than GenAI, calibrating risk and justifying trust, expertise and the workforce, not overlooking Rodney Dangerfield, foundational elements for success, betting on AIOps, and acting in teams.     Dr. Chris L Marshall is a Vice President at IDC Asia/Pacific with responsibility for industry insights, data, analytics and AI. A former partner and executive at companies such as IBM, KPMG, Oracle, FIS, and UBS, Chris's mission is to translate innovative technologies into industry insights and business value for the digital economy.Related ResourcesData and AI Impact Report: The Trust Imperative (IDC Research)A transcript of this episode is here.

In this year-end episode, William and Eyvonne recap their experiences at AutoCon 4 in Austin, Texas. They discuss the conference’s new multi-track format, including Eyvonne’s presentation in the leadership track on why technical projects fail. The conversation dives into how AI tools like Google Gemini can augment – not replace – human creativity, from research... Read more »

In this sponsored episode recorded live at AutoCon 4 in Austin, we sit down with Peter Sprygada, Chief Architect at Itential, to discuss Itential’s on-stage announcement of FlowAI. Peter shares his journey from network engineering skeptic to AI advocate, explaining how Itential securely connects AI agents to infrastructure with enterprise-grade governance and traceability. We dive... Read more »

Recorded live at AutoCon4, William Collins and Eyvonne Sharp join forces with John Capobianco for some in the moment thoughts and reflections on the AutoCon experience – from the in-person connections to the workshops to the stage presentations.  John gives us the inside story on his very own workshop and the latest version releases in... Read more »

Un episodio especial desde Bintec 2025 donde Bancolombia y Thoughtworks comparten cómo están aplicando AIOps para transformar la gestión de infraestructura y operaciones TI. A través de casos reales, resultados y aprendizajes, sus líderes explican cómo la inteligencia artificial está optimizando la plataforma de aplicaciones del banco y preparando el camino para una operación más eficiente, automatizada y resiliente en el futuro.

Today we delve into the tech expertise deficit and why technical depth and decades of doing the work matter more than social media followers and content creation hype. Our guest is Russ White, engineer, author, teacher, and certification developer. We begin with current events in AI, and then investigate the differences between career and influence... Read more »

When Cloudbeds faced a post-sales organization at 120% capacity, no budget, and declining efficiency, Colin Slade chose to rebuild the operation through AI. Within nine months, his four-person AIOps team deployed more than 150 workflows and agents, automating 75% of repetitive work and reclaiming 7,000 hours every month.This episode details how Colin turned a resource-starved customer success organization into an AI-driven engine. It explores the early missteps, the shift from overengineering to small, quick wins, and how incremental adoption evolved into company-wide transformation.A practical study in applied AI, organizational change, and measurable outcomes—showing how constraint, not abundance, can drive real innovation.Timestamps0:00 – Preview & Introduction0:57 – Meet Colin Slade and the Situation at Cloudbeds9:25 – Mitigating Team Fears Around AI Replacing Jobs13:13 – The Stepwise Approach to Implementing AI19:50 – Scaling Securely: Working with IT, Risk-Taking, and Adoption24:00 – Roles and Team Structure for Effective AI Operations33:10 – Documentation as a Hidden Bottleneck39:45 – Build vs. Buy: Why Cloudbeds Built In-House42:20 – The Impact and a Culture of Fearless ExperimentationWhat You'll Learn* How to rebuild a post-sales org around AI without additional headcount* The step-by-step approach to deploying 150+ workflows in under a year* How to identify and structure AI roles: visionary, operators, knowledge masters, and project leads* The cultural and psychological levers for AI adoption* How to optimize documentation for AI readability (and boost SEO at the same time)* The measurable impact of AI on cost savings, efficiency, and morale---Check out the Key Takeaways & Transcripts: ⁠https://www.gainsight.com/presents/series/unchurned/⁠---Where to Find Colin:LinkedIn: ⁠https://www.linkedin.com/in/colinslade/Where to Find Josh: LinkedIn: ⁠https://www.linkedin.com/in/jschachter/⁠---Resources: n8n – https://n8n.io/Forethought – https://forethought.ai/Google AI Studio – https://aistudio.google.com/Anthropic Claude – https://claude.ai/Gemini – https://gemini.google.com/appLovable – https://lovable.dev/Pinecone – https://www.pinecone.io/Snowflake – https://www.snowflake.com/en/Zendesk – https://www.zendesk.nl/Salesforce – https://www.salesforce.com/Slack – https://slack.com/

Today we are joined by Dario Pasquini, Principal Researcher at RSAC, sharing the team's work on WhenAIOpsBecome “AI Oops”: Subverting LLM-driven IT Operations via Telemetry Manipulation. A first-of-its-kind security analysis showing that LLM-driven AIOps agents can be tricked by manipulated telemetry, turning automation itself into a new attack vector. The researchers introduce AIOpsDoom, an automated reconnaissance + fuzzing + LLM-driven telemetry-injection attack that performs “adversarial reward-hacking” to coerce agents into harmful remediations—even without prior knowledge of the target and even against some prompt-defense tools. They also present AIOpsShield, a telemetry-sanitization defense that reliably blocks these attacks without harming normal agent performance, underscoring the urgent need for security-aware AIOps design. The research can be found here: ⁠When AIOps Become “AI Oops”: Subverting LLM-driven IT Operations via Telemetry Manipulation Learn more about your ad choices. Visit megaphone.fm/adchoices

Today we are joined by Dario Pasquini, Principal Researcher at RSAC, sharing the team's work on WhenAIOpsBecome “AI Oops”: Subverting LLM-driven IT Operations via Telemetry Manipulation. A first-of-its-kind security analysis showing that LLM-driven AIOps agents can be tricked by manipulated telemetry, turning automation itself into a new attack vector. The researchers introduce AIOpsDoom, an automated reconnaissance + fuzzing + LLM-driven telemetry-injection attack that performs “adversarial reward-hacking” to coerce agents into harmful remediations—even without prior knowledge of the target and even against some prompt-defense tools. They also present AIOpsShield, a telemetry-sanitization defense that reliably blocks these attacks without harming normal agent performance, underscoring the urgent need for security-aware AIOps design. The research can be found here: ⁠When AIOps Become “AI Oops”: Subverting LLM-driven IT Operations via Telemetry Manipulation Learn more about your ad choices. Visit megaphone.fm/adchoices

Join William Collins and Evyonne Sharp as they catch up on all things AI. They discuss the AI bubble and how it relates to venture capital, stock, and company evaluations. They talk about the AI experience for the average person, the adoption rate of AI tools, and how the AI infrastructure buildout might affect the... Read more »

Host Philip Gervasi and Kentik Field CTO Justin Ryburn preview the upcoming AutoCon 4 conference, one of the premier events for the networking industry. They discuss the growth of the Network Automation Forum, the evolution of the AutoCon community, and the event's focus on real-world network automation, observability, and AIOps. Justin previews Kentik's hands-on AutoCon 4 session, “Building Smarter Observability with Network Intelligence.”

Michael Reid went from studying aerospace engineering to becoming CEO at Megaport, a global network-as-a-service platform. How did he get there, and what can we learn from his journey? We walk his career path, including a pivotal role scaling ThousandEyes from 74 million to over 2.4x ARR post-acquisition, and how those experiences shaped his approach to... Read more »

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

Software developers combine Artificial Intelligence with IT Operations and have produced a new acronym called AIOps. Today, we explored some of the best practices for making software development more productive with AIOps.   Legacy systems are an excellent application for AIOps, but Kevin Walsh from the GAO notes that it may be more economical to maintain legacy systems in place.   Christopher Clark from the U.S. Marine Corps suggests listening to users through starting AI Task Forces. They can help identify the use cases that would validate the expense of moving to AIOps.   One obvious win might be minimal risk, high-impact activities. Clark mentions preventative maintenance as a potential target. ROI from reducing costs can be apparent. Furthermore, a help desk can pose a negligible risk and have a relatively high impact on servicing needs of Marines.   One likely candidate for applied AIOps is managing the changes in a code set that takes place. BMC's Katie Tierney states that in a typical DevSecOps environment, there could be thousands of changes a day, which exceeds human capability.   The overview is apparent:  ensure appropriate oversight, governance, and transparency measures are in place when deploying agentic AI systems.        

In this deep dive episode, we explore the evolution of networking with Avery Pennarun, Co-Founder and CEO of Tailscale. Avery shares his extensive journey through VPN technologies, from writing his first mesh VPN protocol in 1997 called “Tunnel Vision” to building Tailscale, a zero-trust networking solution. We discuss how Tailscale reimagines the OSI stack by... Read more »

John Capobianco is back! Just months after our first Model Context Protocol (MCP) discussion, John returns to showcase how this “USB-C of software” has transformed from experimental technology to an enterprise-ready solutions. We explore the game-changing OAuth 2.1 security updates, witness live demonstrations of packet analysis through natural language with Gemini CLI, and discover how... Read more »

In this unplanned and unfiltered conversation, we dive deep into network automation realities with Ivan Pepelnjak, networking’s long standing and independent voice from ipSpace.net. We explore why automation projects fail, dissect the tooling landscape (Ansible vs. Terraform vs. Python), and discuss the cultural barriers preventing enterprises from modernizing their networks. Ivan delivers hard truths about... Read more »

Marty Kagan, co-founder and CEO of Hydrolix, joined me for a detailed conversation on the importance of delivering better end-user QoE with real-time telemetry and the challenges that come with CDN observability. Marty highlights why more hot data is crucial for AIOps and challenges that M&E customers face today, including the need to discard data due to storage costs. Marty presents a compelling argument against the notion that most data is irrelevant and that content owners only need to retain a small percentage as a sample. We also discuss why Hydrolix isn't an AI company and Marty's plans to continue growing its streaming data lake platform in verticals outside of video.Podcast produced by Security Halt Media

Today we explore how to build sustainable tech companies with Brian Pontarelli, Founder of FusionAuth. Brian shares his path from early programming on an Apple IIe to creating innovative solutions in the complex world of customer identity and access management (CIAM). Brian argues that single-tenancy and local development capabilities are crucial for developers. He also... Read more »

Elliot Shmukler (Co-Founder and CEO at Anomalo) talks about the impact of data quality on AI, how unstructured data can be improved, and how monitoring of data lakes can help prevent model drift and give organizations confidence with predictable results.SHOW: 945SHOW TRANSCRIPT: The Cloudcast #945 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK:  http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST:  "CLOUDCAST BASICS"SPONSORS:[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.[FCTR] Try FCTR.io (that's F-C-T-R dot io) free for 60 days. Modern security demands modern solutions. Check out Fctr's Tako AI, the first AI agent for Okta, on their websiteSHOW NOTES:Anomalo websiteThe Cloudcast #598 - Data QualitySnowflake invests in AnomaloTopic 1 - Elliot, welcome back! It's hard to believe it has been 3 years since we spoke! Give everyone a brief introduction.Topic 2 - Here's the problem I see when it comes to AI adoption today. There isn't an “off the shelf” AI model with an organization's data built in; that's impossible. So, you must bring this data, often unstructured, to the model, often with mixed results. Do you agree?Topic 3 - I see data quality in two ways… the quality of the data before ingestion is one way, we want the data to be clean going in. But, we also need a way to detect, mitigate, and do a root cause analysis for quality checks along the way, correct? Give everyone an idea of what this life cycle looks like.Topic 4 - What are you seeing as the barriers to adoption? Is it the tools, the models, the need for RAG pipelines, the lack of data scientists, and AIOps?Topic 5 - We have this crossroads where proprietary data makes an organization unique, but exposing that unique data puts the organization at risk. How much of a factor does this play, and how do you advise organizations around this complex intersectionTopic 6 - There is always this concept of predictable results. This answer should be consistent and repeatable. We've seen things like model/data drift and hallucinations hinder this concept, leading to a lack of confidence in the results. How do you advise organizations to tackle this lifecycle management and predictability over time?Topic 7 - If listeners want to get started and learn more, what's the best way to get started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

If the AI Agent hype ends up being real, how will businesses manage AI Agents from the perspective of people vs. non-people? SHOW: 944SHOW TRANSCRIPT: The Cloudcast #944 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.[FCTR] Try FCTR.io (that's F-C-T-R dot io) free for 60 days. Modern security demands modern solutions. Check out Fctr's Tako AI, the first AI agent for Okta, on their website[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.SHOW NOTES:Batch jobs vs Cron jobsRobotic Process AutomationWhat is AIOps?AI Platform goes rogue, deletes company database (Replit)How do consultants think about AI AgentsWHAT IF AI AGENTS ARE SUCCESSFUL?What are our expectations of AI Agents? How do we treat AI Agents? How do we organize AI Agents? How do we manage AI Agents?Will we have Junior and Senior AI Agents? Will we see internal competition for managers trying to get AI Agent budget? Will companies measure % AI Agent for projects? Will we see managers trying to take their agents with them if they leave a company? How “owns” the agent?FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

How is Infrastructure-as-Code (IaC) evolving? How does user experience fit in? Today on The Cloud Gambit, Cory O'Daniel, Co-Founder & CEO of Massdriver, lends his experience as a coder, architect, and founder to help us answer these questions. Cory also discusses what it was like building and funding a startup in the 2021-2022 market, the... Read more »

993: Customer-first IT and innovation at scale. On this episode of Technovation, host Peter High speaks with Mike Trkay, Chief Information Officer at FICO, a $2B analytics software company. Mike leads not only internal IT but also the operations of FICO's customer-facing SaaS and PaaS platforms—making him a unique, customer-facing CIO. Mike shares insights from his 12-year tenure, during which FICO's stock has risen 3,600%, and explains how his team drives customer trust, operational excellence, and innovation. Topics include his customer-centric approach to IT, leveraging AIOps and AI to scale operations, and the emergence of focused language models to reduce complexity and deliver business impact.

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.   In this episode of Eye on AI, Craig Smith sits down with Jason Hardy, Chief Technology Officer for AI at Hitachi Vantara, to explore what it really takes to deploy AI at scale in the enterprise, beyond the hype.   Jason shares how Hitachi is building a pragmatic, outcomes-driven AI platform through Hitachi iQ. From working with NVIDIA to integrating agentic AI into operations, this conversation unpacks the infrastructure, mindset, and strategies needed to move AI projects from experimentation to production.   Whether you're navigating AI adoption, battling with data readiness, or looking to build your own LLM-powered applications, this episode offers invaluable insights from a company that's actually doing it globally, sustainably, and at scale.   Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI     (00:00) Preview (02:10) The Role of CTO for AI at Hitachi Vantara (05:38) Applying AI Across Manufacturing, Energy & Transport (09:54) What Is Pragmatic AI? (13:21) Infrastructure Demands of Generative AI (14:47) Why Most AI Projects Fail (20:25) Inside the Hitachi iQ Platform & NVIDIA Partnership (25:42) Building a Model-Agnostic, Hybrid AI Stack (32:08) Beyond Selling GPUs: Delivering Real AI Outcomes (38:09) Supporting Hybrid Deployments Across Cloud and On-Prem (42:02) Rethinking ROI: Failure as a Strategic Advantage (47:44) Agentic AI and the Future of Autonomous IT Workflows (49:37) Five Core Domains of Agentic AI at Hitachi (53:02) Making AI Infrastructure Sustainable (56:48) Hitachi's Vision for the Future of Enterprise AI

The Cloud Gambit is joining the Packet Pushers network! Launched in 2023 as an independent podcast, The Cloud Gambit cuts through the hype to deliver what actually matters in cloud and AI. Hosts William Collins and Eyvonne Sharp decode the strategies, technologies, and market forces reshaping enterprise infrastructure. Built for engineers who lead, leaders who... Read more »

Today's guest is Troy Felix, RVP of Sales Engineering at BigPanda. BigPanda is a leading AIOps platform that helps enterprises prevent and resolve IT incidents faster through automation and real-time insights. Troy joins us to explore how automation and real-time data are transforming IT operations. He explains how organizations are using AIOps to reduce alert noise, speed up root cause analysis, and bridge communication gaps between IT, engineering, and SRE teams. Troy also discusses how industries like financial services, healthcare, e-commerce, and managed service providers are evolving from reactive firefighting to proactive, data-driven operations, despite challenges like high alert volumes and fragmented toolsets. We also dive into the stages of AI adoption in IT operations, including key obstacles such as siloed tools, resistance to change, and the need for better observability data. Troy offers a practical view on how AI is improving efficiency, service resilience, and team collaboration. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business' podcast! This episode is sponsored by BigPanda. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today on the Tech Bytes podcast we're talking AI readiness with sponsor Broadcom. More specifically, getting your network observability ready to support AI operations. This isn't just a hardware or software issue. It's also a data issue. We'll get some tips with our guest Jeremy Rossbach. Jeremy is Chief Technical Evangelist and Lead Product Marketing... Read more »