Podcasts about aiops

In this episode of the Earley AI Podcast, host Seth Earley welcomes Charlie Betz, Principal Analyst at Forrester Research. With an extensive background in digital operating models, enterprise architecture, and the future of work, Charlie brings a systems thinking approach to how digital initiatives are planned, governed, and scaled. As a leading expert covering a $250 billion segment of the global IT market—including vendors like ServiceNow, Atlassian, and Dynatrace—Charlie provides invaluable perspective for technology and business leaders facing the complexities of AI enablement and digital operations in large organizations.Together, Seth and Charlie dive deep past buzzwords to uncover practical, actionable insights about harnessing AI, operationalizing feedback loops, and navigating legacy technical debt. Charlie shares his real-world experiences wrangling with generative AI tools—including building systems with Anthropic's Claude as a "junior developer"—and distills lessons for executives on aligning business needs with technological advancements.Key Takeaways:How AI, particularly generative models like Claude, has moved from simple code autocompletion to accelerating the development of full-fledged applications—and the challenges and opportunities this creates for non-developers and professionals alike.The architecture of the $250 billion IT control plane market, including IT Service Management (ITSM), AIOps, and the massive influence these domains have on enterprise performance and boardroom-level decision-making.Why the ultimate business value of AI lies in accelerating feedback loops and continuous learning, not just automation or chatbot deployments.Lessons from continuous improvement (lean, Deming cycles, etc.) and why previous attempts struggled at scale—plus how modern AI may finally make the learning organization a reality.The importance of architectural governance, data stewardship, and feedback loop closure in successful AI integration—plus concrete calls to action for executives and enterprise architects.A nuanced discussion of legacy systems and technical debt: why simply layering new technology on top of old can lead to "technical bankruptcy," and practical strategies for managing (and paying down) technical debt before it becomes existential.Cutting through the hype around AI agents and swarms: separating realistic enterprise use cases from risk-laden hype, and the current limitations and essential guardrails needed for safe, effective agentic operations.Insightful Quote from the Episode:"If you held my feet to the fire and you told me, 'Charlie, there's only one point,' I would say look for the feedback loop... What AI is enabling is essentially a faster feedback loop than we've ever had before in industry. And this is where the old becomes new."– Charlie BetzTune in for an unvarnished, deeply practical conversation on making AI real in complex enterprise environments—packed with tangible guidance no matter where you are on your digital transformation journey.Links:LinkedIn: https://www.linkedin.com/in/charlestbetz/Website: https://www.forrester.comThanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book

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

No episódio 174 do Kubicast, nós convidamos Lucas Quadros, desenvolvedor de software no time de IAI e Machine Learning da Grafana, para mergulharmos no universo da observabilidade. Em uma conversa técnica e bem-humorada, exploramos como logs e processamento de linguagem natural (NLP) se cruzam para transformar dados brutos em insights acionáveis e sobre a evolução de algoritmos de detecção de anomalias em séries temporais.Avançamos na discussão sobre IA generativa aplicada ao monitoramento: desde a criação de dashboards dinâmicos até a configuração inteligente de alertas e SLOs. Falamos ainda sobre a arquitetura de agentes de observabilidade capazes de navegar em enormes quantidades de métricas, traces e logs, ajudando a acelerar investigações de incidentes.Para fechar, debatemos aspectos de segurança e as trocas de conhecimento por meio de protocolos MCP que conectam LLMs aos nossos repositórios, dashboards e runbooks. Comentamos casos de uso, desafios de privacidade de dados e perspectivas para o futuro da automação em observabilidade.Links Importantes:- Luccas Quadros - Não tem rede social!!!- AIOps no KCD RJ - https://youtu.be/WTWmOybEOK4?si=QujwWRx8QxpOY43g- João Brito - https://www.linkedin.com/in/juniorjbn- Assista ao FilmeTEArapia - https://youtu.be/M4QFmW_HZh0?si=HIXBDWZJ8yPbpflMParticipe de nosso programa de acesso antecipado e tenha um ambiente mais seguro em instantes!https://getup.io/zerocveO Kubicast é uma produção da Getup, empresa especialista em Kubernetes e projetos open source para Kubernetes. Os episódios do podcast estão nas principais plataformas de áudio digital e no YouTube.com/@getupcloud.

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 »

Begin 2024 kondigde HPE de overname van Juniper aan voor 14 miljard dollar. De Amerikaanse Justitie (DoJ) blokkeerde deze deal echter met een rechtszaak. Nu is er een schikking bereikt, maar wie komt er als winnaar uit de bus? HPE moet namelijk InstantOn afsplitsen en verkopen, en de broncode van Juniper Mist moet aan twee partijen onder licentie worden verkocht.In deze aflevering van Techzine Talks bespreken Coen en Sander de overname van Juniper die nu eindelijk lijkt door te gaan. Het enige wat nog nodig is, is goedkeuring van de rechter. Dat lijkt echter een formaliteit.Om de overname door te laten gaan moest HPE concessies doen. Ze moeten InstantOn afstoten, een portfolio netwerkproducten voor het MKB dat HPE Aruba in 2019 introduceerde. Daarnaast moet de broncode van Juniper Mist aan twee partijen onder licentie worden verkocht via een veiling. Juniper Mist wordt in de industrie hoog gewaardeerd en is volgens sommige analisten de hoofdreden voor de overname.Zowel HPE als de Amerikaanse DoJ hebben inspraak over welke partijen de licenties mogen kopen, waarbij Amerikaanse netwerkleveranciers waarschijnlijk de voorkeur krijgen. Wat betekent dit voor de markt en voor HPE? Gaat dit HPE bijvoorbeeld belemmeren in het leveren van goede AIOps? Bekijk of luister snel deze aflevering van Techzine Talks!

What if your AI agents could think more like IT operations staff — and less like tools? In this episode, we catch up with Zichuan Xiong, to explore the Model Context Protocol (MCP) — a powerful new way to give AI agents deeper awareness of the tools, information and history they need to work effectively in the operations space. Unlike traditional APIs that just trigger functions, MCP adds a semantic layer of context that helps AI understand what to do, why it matters and how to do it better. Whether you're deep in site reliability engineering (SRE) or just curious about the next leap in AIOps, this episode unpacks how MCP could be the missing layer between today's tools and tomorrow's autonomous systems. If you want to find out more, check out this piece by Zichuan at al, https://www.thoughtworks.com/insights/blog/machine-learning-and-ai/mcp-critical-ai-driven-sre

"The concept of Zero Ticket IT is that instead of reacting to the ticket and trying to solve the ticket, you go directly to the source of the issue." This statement by Sean Heuer, CEO of Resolve Systems, sets the stage for this episode of the Tech Transformed podcast.Shubhangi Dua, podcast host and producer at EM360Tech, , sits down with Heuer to unpack the ambitious yet achievable vision of Zero Ticket IT and how both agentic AI and intelligent automation are poised to change IT operations.Traditional IT ticketing systems, with their reactive nature and reliance on human intervention, are facing an overdue overhaul. Heuer shares a path towards a more efficient, proactive, and ultimately frictionless IT experience.What is Zero Ticket IT?Zero Ticket IT shifts the focus from reacting to individual tickets to directly addressing the source of the issue. As Heuer explains, a major portion (roughly 70 per cent) of IT tickets originate from employee requests and range from password resets to connectivity problems. Another substantial chunk comes from machine alerts, often leading to "alert storms" where a single underlying issue triggers a cascade of notifications.For instance, imagine an AI-powered conversational interface that can understand an employee's problem. Now this problem can be resolved using a vast knowledge base and service catalog. "There's no reason for a human to intervene if you locked your account. If you need to reset your password. There's no reason for a human to have to handle that. It should happen instantaneously," Heuer elaborates. This self-service approach immediately reduces ticket volume by a significant margin.AI Automation to Resolve Substantial IT RequestsAutomation can also solve challenges head-on by integrating AI operations (AIOps) solutions to analyse countless machine alerts, thereby identifying correlations and spotting the root cause. "Instead of getting a thousand incidents you have to manage, you get one incident," Heuer states, allowing for precise and rapid resolution.Heuer highlights that by implementing these two layers — direct interfaces for employees and intelligent automation for machine alerts — organisations can achieve a 60 per cent to 70 per cent reduction in total ticket volume.. Some Resolve Systems customers have even seen up to an 80 per cent reduction, with Heuer noting: "We have a telco customer that's gotten to 80 per cent reduction of incidents in their network and infrastructure. We have a retail company that has gotten to 75 per cent reduction. Auto-remediation is the solution for all employee requests."Heuer envisions a future where the core role of an IT technician evolves from reactive ticket-solving to proactively managing and optimizing AI and automation systems. The focus will be on identifying patterns, improving knowledge articles, and developing new automations. The Resolve...

In this episode, we explore the transformative impact of agentic AI frameworks on IT operations and AIOps with Rani Tzur, Director Product Management. Discover how agentic AI can enhance decision-making, automate tasks, and improve efficiency in IT management during issue triaging and investigation.See omnystudio.com/listener for privacy information.

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 »

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 »

Join Usman Sindhu as he sits down with Accenture's Bryan Locke to discuss the evolution of AIOps, the role of Generative AI in IT operations, and how Accenture is optimizing observability, automation, and cost efficiency for the future.See omnystudio.com/listener for privacy information.

Este conteúdo é um trecho do nosso episódio: “#216 AIOps para automatizar operações e prever impedimentos”. Nele, Felipe Teixeira, Arquiteto de Software na dti digital, lista os pré-requisitos fundamentais para implementar o AIOps com sucesso. Ele compartilha insights valiosos sobre processos bem definidos e traz exemplos práticos que envolvem os benefícios para o monitoramento em escala. Dê o play e ouça agora! Procurando uma oportunidade na área de tecnologia? Se você é uma mente criativa, a dti digital é o melhor lugar para você construir uma carreira. Confira as vagas Quer enviar uma dúvida ou ideia para o Entre Chaves? Mande uma mensagem para o nosso Linkedin ou pelo email entrechaves@dtidigital.com.br. Sua resposta pode aparecer em um dos nossos episódios!

Sua equipe ainda perde horas preciosas com monitoramento manual? Neste episódio, Felipe Teixeira, Arquiteto de Software na dti digital, explica como o AIOps combina dados e machine learning para automatizar operações e prever problemas antes que afetem os usuários. Descubra como essa tecnologia pode transformar a rotina dos desenvolvedores, permitindo foco em tarefas mais estratégicas e criativas, especialmente em ambientes complexos na nuvem. Dê o play e ouça agora! Procurando uma oportunidade na área de tecnologia? Se você é uma mente criativa, a dti digital é o melhor lugar para você construir uma carreira. Confira as vagas Quer enviar uma dúvida ou ideia para o Entre Chaves? Mande uma mensagem para o nosso Linkedin ou pelo email entrechaves@dtidigital.com.br. Sua resposta pode aparecer em um dos nossos episódios!

Your competitors are already using AI. Don't get left behind. Weekly strategies used by PE Backed and Publicly Traded Companies →https://hi.switchy.io/U6H7In this conversation, Ryan Staley and Sri Ganesan discuss the challenges and strategies surrounding AI adoption in professional services, emphasizing the need for organizations to integrate AI into their operations effectively. They explore the concept of AIOps, highlighting how automation can lead to significant efficiency gains. The discussion also delves into the future of AI agents and their potential roles in enhancing project management and organizational efficiency.Chapters00:00 AI Adoption Challenges and Strategies09:05 Implementing AIOps for Efficiency14:20 The Future of AI Agents

AIOps is revolutionizing IT operations, enabling businesses to manage infrastructure more efficiently than ever. In this episode, we explore how automation, AI, and machine learning are reshaping IT management—driving self-healing systems, autonomous operations, and proactive performance optimization. As organizations scale, ensuring resilience, minimizing downtime, and controlling costs are more critical than ever. Join us for a forward-looking discussion on the key trends fueling AIOps adoption and the strategies IT leaders can use to future-proof their operations. Expect actionable insights on leveraging AI-driven automation for smarter, more scalable, and cost-effective IT management. Speakers: Taruna Gandhi, Head of Product Marketing for OpsRamp, Hewlett Packard Cameron Bulanda, VP of Technical Sales and Centers of Excellence, Connection Show Notes: 00:00 Introduction to AI in Operations 03:11 The Importance of Observability 05:54 Breaking Down Silos with AIOps 09:10 Real-Life Examples of Self-Healing Systems 12:02 Proactive Management with AI Insights 14:51 Leveraging Anonymized Data for Better Insights 18:05 Future of AI in Operations Management 20:49 Driving Sustainability with AI 23:59 Choosing the Right Partner for AI Solutions

In today's fast-moving digital landscape, IT teams are under immense pressure to maintain performance, security, and reliability while managing increasingly complex cloud-native environments. But as traditional monitoring tools struggle to keep pace, AI-driven observability is emerging as a game-changer. In this episode, I sit down with Alois Reitbauer, Chief Technology Strategist at Dynatrace, to explore how AI and automation are redefining enterprise IT. Alois shares his insights on the role of predictive AI, AIOps, and automated observability in helping organizations proactively detect and resolve issues before they impact users. We also dive into how Dynatrace is integrating AI-powered solutions to enhance performance monitoring, security, and cloud automation, making IT operations more efficient and resilient. Alois breaks down the latest innovations, including how AI observability supports large-scale cloud environments, reduces alert fatigue, and enables self-healing IT ecosystems. As AI continues to transform enterprise technology, what does the future hold for IT teams? Can AI-powered observability help businesses scale without adding complexity? And how can companies harness Dynatrace's advanced AI insights to drive greater efficiency and security? Join us as we explore these questions and uncover the latest breakthroughs shaping the future of IT operations. I'd love to hear your thoughts—how do you see AI observability changing the way businesses manage their digital ecosystems?

What happens when a company decides to redefine its identity? That's what I witnessed firsthand at the IT Press Tour in Silicon Valley, as CloudFabrix unveiled its transformation into Fabrix.ai—a move that marks more than just a rebrand, but a bold step into the future of AI-driven IT Operations. In this episode, I sit down with Raju Datla, CEO of Fabrix.ai, to explore this pivotal shift and the launch of their Agentic AI Operational Platform. We discuss why the evolution from CloudFabrix to Fabrix.ai is not just about a name change but revolutionizing how IT operations leverage AI agents for autonomous workflows, predictive analytics, and automated remediation. Fabrix.ai introduces Agentic AI, a new paradigm where AI-driven agents operate independently to solve IT challenges—without constant human intervention. These agents can detect anomalies, manage SLAs, predict system failures, and execute automated fixes. But how does this compare to traditional AIOps and ML-driven approaches? And what safeguards are in place to prevent AI hallucinations, bias, and errors in critical IT workflows? We'll unpack how Fabrix.ai's three foundational fabrics—AI Fabric, Automation Fabric, and Data Fabric—transform enterprise IT by combining AI-powered reasoning, real-time data processing, and intelligent automation. Raju shares insights into how large enterprises and telcos leverage this technology and how Fabrix.ai works with industry giants like Cisco, IBM, and Splunk to reshape IT operations. Beyond the tech, we dive into leadership lessons from a serial entrepreneur—how Raju has built a loyal team across multiple ventures, the mindset needed to create sustainable, high-impact businesses, and why passion should always come before profit. So, what does the future hold as we stand at the crossroads of AI-driven automation and IT modernization? Will Agentic AI usher in the long-promised era of fully autonomous enterprises? What are your thoughts? Could AI-driven agents transform IT as we know it? Let's continue the conversation.

What does the future of observability, AI, and security look like in an increasingly complex digital world? In this episode, I'm joined by Steve Tack, Chief Product Officer at Dynatrace, live from Dynatrace Perform in Las Vegas. Steve has been a frequent guest on the show, but this time, we're finally sitting down in person at one of the industry's most anticipated events. Steve shares insights into how Dynatrace is expanding its AI-driven observability and automation capabilities to help businesses move from a reactive to a proactive IT strategy. We discuss the company's latest product announcements, including advancements in AIOps, cloud security posture management, and predictive AI for optimizing enterprise performance. With AI dominating conversations in every industry, Steve explains how enterprises are evolving their IT operations to harness AI-powered automation while ensuring security and scalability. He also shares key trends from the conference floor, including how businesses are restructuring teams for agility and resilience in the era of cloud-native and AI-driven services. Tune in to hear how AI, observability, and security are converging to shape the future of enterprise IT—and what it means for your business. Are we truly on the verge of fully autonomous IT operations? Join the conversation and share your thoughts.

On today's show, we're discussing the complexities of network design for AI computing at the edge. We're not talking about AIOps, although that might come up in this conversation. Instead, we're focusing on how to effectively cope with the network traffic patterns happening on your network as a result of AI computing workloads. Our subject... Read more »

On today's show, we're discussing the complexities of network design for AI computing at the edge. We're not talking about AIOps, although that might come up in this conversation. Instead, we're focusing on how to effectively cope with the network traffic patterns happening on your network as a result of AI computing workloads. Our subject... Read more »

On today's show, we're discussing the complexities of network design for AI computing at the edge. We're not talking about AIOps, although that might come up in this conversation. Instead, we're focusing on how to effectively cope with the network traffic patterns happening on your network as a result of AI computing workloads. Our subject... Read more »

Today's guest is Philip Taphouse, ServiceNow VP and Centre of Excellence Head at NTT Data Business Solutions. Founded in 1989, NTT DATA Business Solutions drive innovation. From advisory and implementation, to managed services and beyond, they continuously improve SAP solutions and technology to make them work for companies, and for their people. ​​​​​​​With operations in more than 30 countries, the company has enabled thousands of companies become more efficient and effective during the last three decades. Philip exemplifies leadership and expertise in ServiceNow, driving the evolution of service operations and AIOps with unmatched proficiency. In his current role, which was assumed following Sapphire's strategic acquisition in 2023, Phil's vision and execution have set new benchmarks in the industry. With an illustrious career spanning over 17 years across diverse sectors, Phil's ability to deliver impactful results is unparalleled. He is a visionary, consistently staying ahead of industry curves and initiating change with his forward-thinking ideas. In the episode, Philip talks about: His 17 years in ServiceNow, specializing in ITOM and AI-driven operations, Implementing AIOps, preventing system failures and achieving major success, How his acquisition led to growth, cultural shift and sustainable practices, Working with British Airways to stabilize digital transactions and user journey, How AIOps uses AI to manage operations, improving efficiency and context, Advice to specialize in IT, become an expert and make impact

Artificial intelligence for IT security operations (AISecOps) is revolutionizing cybersecurity. In this episode, we discuss how AI and machine learning are used to analyze IT data, allowing organizations to: Proactively identify and respond to threats: Detect anomalies, predict outages, and automate incident response. Improve efficiency: Streamline security operations and optimize resource allocation. Enhance threat detection: Uncover complex attack patterns and stay ahead of emerging threats. We'll cover real-world applications of AISecOps, the challenges in implementing this technology, and future trends in AI-driven security. Finally, we'll provide actionable insights for organizations looking to strengthen their security posture with AISecOps. Speakers: John Chirillo, Principal Security Architect, Connection Rob Di Girolamo, Senior Security Architect, Connection Kimberlee Coombes, Security Solution Architect, Connection Show Notes:  00:00 Introduction to AIOps and Cybersecurity 03:07 The Role of AIOps in Threat Detection 06:01 Adapting to Evolving Cyber Threats 08:58 AI in Proactive Threat Hunting 11:55 Challenges in AIOps: False Positives and Data Quality 14:51 The Future of AIOps and Self-Healing Systems 17:45 AI and Zero Trust Strategies 21:07 AIOps for Small and Medium Businesses 23:52 Final Thoughts and Recommendations

Fred Koopmans is Chief Product Officer at BigPanda, an AIOps company. He is someone who has managed to ride the tech waves being at the right place at the right time - mobile video optimization on wireless networks, cloud, data platforms, open source, and now AI. Prior to BigPanda, Fred was SVP of Product Management at Cloudera, and Sr. Director Product Management at Citrix, and in engineering roles at Bytemobile. In this episode, Fred shares his approach of writing a reverse job description that tells recruiters exactly what he is looking for. Here are some key highlights and the topics we cover: * What is the flavor of conversations with customers around AI, especially with IT people * How writing can help one become a high-intention person * What is a reverse job description and how to write one * Why it is paramount to have an answer to the question - "Where do you see yourself in five years?" * How does a PM do an effective job in "engineering-led" or "sales-led" companies * What do engineers wish product managers know and what do product managers wish engineers know * How to build deep relationships with customers * How to steer a product org away from doing only what customers want * How to have good skip level 1:1s Connect with Fred on LinkedIn: https://www.linkedin.com/in/fred-koopmans/ Connect with Rahul Abhyankar, host of Product Leader's Journey: https://www.linkedin.com/in/rahulabhyankar https://www.productleadersjourney.com

In this video interview, NAND Research Chief Analyst Steve McDowell explains how IT decision makers assess strategies and infrastructure needed...[…]

In this video interview, NAND Research Chief Analyst Steve McDowell explains how IT decision makers assess strategies and infrastructure needed...[…]

What role does observability play in transforming IT operations? In this episode, I explore this critical question with Gab Menachem, Vice President of Product, IT Operations Management at ServiceNow. With more than two decades of experience in technology innovation and leadership, Gab brings unique insights into how organizations can rethink their IT strategies to tackle modern challenges. Our conversation begins with clearing up common misconceptions about observability—it's not just about monitoring or accumulating tools, but about understanding the "why" behind IT issues. Gab explains why integrating AI and automation into observability strategies is essential for reducing alert fatigue and improving decision-making. He also sheds light on the power of unifying data sources to create a "single pane of glass," offering IT teams enhanced operational visibility and enabling faster, more informed decisions. As we dive deeper, Gab shares real-world examples of how ServiceNow is helping organizations overcome IT complexities, such as application sprawl and disconnected tools. From leveraging AI for root cause analysis to automating compliance and risk management, the conversation highlights practical strategies that deliver tangible business outcomes. We also look ahead at the trends shaping the future of IT operations. Generative AI, tighter integration of observability with action, and AI-driven compliance automation are just a few of the exciting developments Gab predicts will accelerate enterprise innovation. So, how can IT leaders align with business stakeholders to make these transformations successful? Gab emphasizes the importance of articulating observability's benefits in business terms, such as reduced downtime, enhanced customer satisfaction, and measurable cost savings. As the IT landscape evolves, are you ready to embrace the future of observability and AIOps? Tune in to learn how to optimize your existing tools, prioritize change management, and foster collaboration across your organization.  

This week Jonathan and Shay go deep into FIPS, cryptography, and security, and interview Alex Scheel about it as well!ProposalsGo moves toward FIPS-140

AIOps, short for artificial intelligence in operations, is a process that uses AI to automate IT tasks. More organizations are embracing it as AI commodifies, yet adoption is still lagging. Learn more about your ad choices. Visit podcastchoices.com/adchoices

On today's episode, artificial intelligence with sponsor Selector.AI. If you're curious and maybe still skeptical about the value AI brings to network operations, listen to this episode. Selector is on the forefront of AIOps for networking, building models that are customized and specifically targeted at networks. What Selector is doing is NOT simply the low-hanging... Read more »

On today's episode, artificial intelligence with sponsor Selector.AI. If you're curious and maybe still skeptical about the value AI brings to network operations, listen to this episode. Selector is on the forefront of AIOps for networking, building models that are customized and specifically targeted at networks. What Selector is doing is NOT simply the low-hanging... Read more »

On today's episode, artificial intelligence with sponsor Selector.AI. If you're curious and maybe still skeptical about the value AI brings to network operations, listen to this episode. Selector is on the forefront of AIOps for networking, building models that are customized and specifically targeted at networks. What Selector is doing is NOT simply the low-hanging... Read more »

Connect to John Gilroy on LinkedIn   https://www.linkedin.com/in/john-gilroy/ Want to listen to other episodes? www.Federaltechpodcast.com Everyone awake in biology class remembers the difference between a somatic and an autonomic nervous system. (Cheat sheet: You can control somatic, but the other kicks in without knowing.) What does this have to do with federal information technology? Today, we sat down with Dave Link, the founder of Science Logic, and he talked about how to manage complex federal systems. We all know in the early days, one could use a spreadsheet to update and patch most networks. However, today's hybrid networks and supercharged cyber-attacks are throwing manual methods out the window. Dave Link suggests an automated approach that parallels human biology can be the answer. For example, he calls his system an “autonomic IT.”  A quick translation means that an agent can run in the background and examine the health of a network. It can evaluate and patch automatically, like the system that controls your heartbeat and respiration. When there is an issue, a sentient human can jump in. This may be like a human being moving out of the way of an oncoming bus. This person has an operating cardiovascular system; however, a human must alter survival. Listen to the interview to see how this human/technology parallel holds up.  

В этот выпуск гостем пришел Матвей Кукуй, сооснователь KeepHQ.dev, а в прошлом — Engineering Director в Grafana Labs. Говорим о том, что такое AIOps и как искусственный интеллект трансформирует мониторинг и алертинг, помогая обрабатывать и интерпретировать данные из Observability-инструментов. Обсуждаем, как AIOps модели обучаются, тестируются и автоматизируют инциденты, а также какие сложности возникают при создании AI-продуктов для корпораций. По ходу выпуска также поговорили про роль open-source, выбор модели монетизации и то, что ждёт AIOps в ближайшие годы. 11 ноября стартует новый сезон Podlodka iOS Crew. Тема сезона – "Многопоточность"! По промокоду IOS_CONCURRENCY скидка на билеты. Полная программа и подробности – на сайте. https://podlodka.io/ioscrew Также ждем вас, ваши лайки, репосты и комменты в мессенджерах и соцсетях!
 Telegram-чат: https://t.me/podlodka Telegram-канал: https://t.me/podlodkanews Страница в Facebook: www.facebook.com/podlodkacast/ Twitter-аккаунт: https://twitter.com/PodlodkaPodcast Ведущие в выпуске: Стас Цыганов, Егор Толстой Полезные ссылки: Github Kee https://github.com/keephq/keep ТГ канал Матвея https://t.me/mkulife/

In this episode, we sit down with Nilesh Agarwal, co-founder of Inferless, a platform designed to streamline serverless GPU inference. We'll cover the evolving landscape of model deployment, explore open-source tools like KServe and Knative, and discuss how Inferless solves common bottlenecks, such as cold starts and scaling issues. We also take a closer look at real-world examples like CleanLab, who saved 90% on GPU costs using Inferless.Whether you're a developer, DevOps engineer, or tech enthusiast curious about the latest in AI infrastructure, this podcast offers insights into Kubernetes-based model deployment, efficient updates, and the future of serverless ML. Tune in to hear Nilesh's journey from Amazon to founding Inferless and how his platform is transforming the way companies deploy machine learning models.Subscribe now for more episodes! Show Links: OpenShift 4.17 is GA https://www.youtube.com/live/DvKHwz-c11c?si=6Zap6hk_GsQfdX2m Policy SBOM from Styra: https://www.styra.com/blog/introducing-policy-sbom/ NVIDIA GEForce NOW runs on KubeVirt https://thenewstack.io/now-nvidia-scaled-its-cloud-services-with-kubevirt/ CBT feedback https://thenewstack.io/kubernetes-advances-cloud-native-data-protection-share-feedback CNCF KUBEEDGE Grad https://www.devopsdigest.com/cncf-announces-kubeedge-graduation?utm_source=tldrdevops Palumi Operator 2.0 https://www.pulumi.com/blog/pulumi-kubernetes-operator-2-0Inferless LInks: https://www.inferless.com/blog/cleanlab-saves-90-on-gpu-costs-with-inferless-serverless-inference https://www.inferless.com/blog/how-spoofsense-scaled-their-ai-inference-with-inferless-dynamic-batching-autoscaling https://www.inferless.com/ https://docs.inferless.com/introduction/introduction LinkedIn - https://www.linkedin.com/in/nilesh-agarwal/ X- https://x.com/nilesh_agarwal2 Medium Blog https://nilesh-agarwal.medium.com/

Curious about the future of mainframes? Six Five Media hosts Steven Dickens and Mike Vizard chat with BMC's Anthony DiStauro, AI Evangelist & Senior Product Development Architect and Dave Jeffries, Vice President of R&D for ZSolutions at BMC Connect. Discover how generative AI unlocks strategic insights, enhances security, and can shape the future of this critical technology. Their discussion covers: The current state and evolution of mainframe DevOps and AIOps How generative AI services are revolutionizing mainframe operations The role of strategic insights in enhancing DevOps and AIOps practices The impact of AI on mainframe security and compliance Future trends and predictions for mainframe technology  

Discover the future of IT efficiency and risk management as Six Five Media host Mike Vizard delves into BMC's AIOps advancements at BMC Connect. He is joined by BMC's Kiran Diwakar, Area VP of Product Management, for an in-depth discussion on the newest AI-powered innovations. Their discussion covers: The current state of AIOps and BMC's role in it How BMC AIOps innovations are driving efficiency and reducing risks for businesses Future directions for AIOps technology at BMC Case studies showcasing BMC AIOps in action Advice for organizations looking to implement AIOps solutions  

Today's guest is Aly Skidmore, ServiceNow Platform Owner at abrdn. Founded in 1825, abrdn is a global investment company that helps clients and customers plan, save and invest for the future. They are structured around three businesses - Investments, Adviser and Interactive Investor - each focused on the changing needs of their clients.  The company's focus on four key strategic priorities - Asia, Sustainability, Alternatives, UK savings and wealth - enables them to meet the needs of clients across a range of markets. Aly is an energetic and creative ITIL 4 certified managing practitioner with extensive and varied experience in the implementation, running and ongoing transformation of IT services, enterprise service management toolsets and platforms. As a Platform owner and product lead, she is responsible for all aspects of the platform lifecycle for ITSM, SPM, SAM, ITOM and Event Management.She is currently leading the delivery of a two year strategic roadmap of platform growth and maturity across ITOM, AIOps, Service Management modernization and more. In the episode, Aly discusses: Her 20+ year journey in IT, service management and ServiceNow, An overview of abrdn's ServiceNow platform from major growth and upgrades, How Platform Owners adapt ServiceNow to diverse, evolving needs, Why networking with platform owners provides crucial support and empathy, Important to prioritize people, support your team and foster growth, The need to focus on outcomes, build trust and respect stakeholders, Why ServiceNow's capabilities require bridging gaps with stakeholders' perceptions, How ServiceNow user groups offer supportive, vibrant networking opportunities, The diverse and supportive ServiceNow ecosystem with strong inclusivity, How the industry has made progress, but the fight for full equality continues

Send me a Text Message hereFULL SHOW NOTES https://podcast.nz365guy.com/597 Get ready to rethink everything you know about AI governance as we dive into the compelling world of chaos engineering in AI. Today's episode of the Ecosystem Show promises to challenge traditional mindsets and spotlight the innovative approaches necessary for managing AI-infused container apps and custom large language models (LLMs). Through real-world examples and ethical discussions, we tackle the complexities of governing non-deterministic AI solutions and emphasize the critical role of transparency and rigorous testing as dictated by the EU AI Act. We also grapple with the thorny issues of liability and accountability when AI-generated content goes awry.In our next segment, we shine a spotlight on the indispensable role of good data and observability in AI and AIOps, with special insights from Alistair Pugin. You'll learn about the dangers of data exfiltration, the nuances between observability and monitoring, and the imperative for continuous improvement in an AI-driven landscape. As we navigate through the complexities of establishing AI standards in light of new regulations, like the European AI Act, we also delve into the evolving role of citizen developers and how they integrate into this fast-paced world of AI.Finally, we explore the strategies individuals use to stay updated in the ever-evolving world of AI. From balancing busy jobs and personal lives to leveraging informal learning and engaging with knowledgeable colleagues, we uncover the various ways to keep pace with rapid technological advancements. We introduce "Napkin AI," a tool that transforms written content into visual diagrams, enhancing comprehension and presentations. Wrapping up, we emphasize the importance of retaining skilled low-code Power Platform professionals and dispel the misconception that citizen developers only need advanced Excel skills to succeed. Tune in for a demonstration of Napkin AI and insights into the exciting, yet complex, future of AI governance and collaboration.Support the show (https://www.buymeacoffee.com/nz365guy) 90 Day Mentoring Challenge 10% off code use MBAP at checkout https://ako.nz365guy.comSupport the showIf you want to get in touch with me, you can message me here on Linkedin.Thanks for listening

In this episode, Amir chats with Jai Prakash, Head of Insights and Data Engineering at Pella Corporation, about the evolution of XOps. They dive into Pella's journey in building a center of excellence, upskilling staff, and implementing AI and advanced analytics to enhance manufacturing. Jai shares insights on Pella's strategic tech transformations, including moving to the cloud and how legacy companies can innovate. He highlights the critical role of DataOps and plans for MLOps and AIOps, offering valuable takeaways for established and new XOps adopters. Highlights: - 01:17 The Need for XOps in Traditional Manufacturing - 03:22 Innovations in Manufacturing Processes - 05:14 Implementing Advanced Technologies - 09:51 Building a DataOps and XOps Infrastructure - 14:07 Upskilling and Future-Proofing the Workforce Guest: Jai Prakash is the Head of Insights and Data Engineering at Pella Corporation, where he spearheads the company's data-driven transformation. With extensive experience in building data strategies and implementing AI and advanced analytics, Jai has been instrumental in enhancing manufacturing processes. He focuses on creating centers of excellence, upskilling staff, and establishing robust DataOps infrastructures. Jai's expertise in technological innovations, including cloud migration and the development of MLOps and AIOps, positions him as a leader in driving strategic technological transformations within traditional manufacturing environments. LinkedIn: https://www.linkedin.com/in/jaiprakashd/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

Bret is joined by Jasper Paul and Vinoth Kanagaraj, observability experts and Site24x7 Product Managers, to discuss achieving end-to-end visibility for applications on Kubernetes infrastructure. We answer questions on all things monitoring, OpenTelemetry, and KPIs for DevOps and SREs.We talk about the industry's evolution from monitoring to full observability platforms, as well as adjacent topics for helping you with your own Kubernetes and application monitoring, including going through some of the most useful metrics in Kubernetes and AI's role in metric analysis and alerting humans.Be sure to check out the live recording of the complete show from April 25, 2024 on YouTube (Ep. 263). Includes demos.★Topics★Site24x7 Full stack observabilitySite24x7 Kubernetes monitoringVoting AppCreators & Guests Cristi Cotovan - Editor Beth Fisher - Producer Bret Fisher - Host J.P. Jasper - Guest (00:00) - Intro (02:01) - Observability vs Monitoring (08:32) - The New App Health Layer (14:39) - Attributes Collected (17:47) - Unified Observability (19:00) - AI-Powered Insights: The Role of AIOps (21:51) - OpenTelemetry and Multi-Cluster Monitoring (25:45) - Windows Support (26:06) - Correlating Requests Between Microservices (28:14) - Synthetic vs Real-Time Monitoring (30:25) - Dashboards, Tracing and Metrics (37:17) - Getting Started You can also support my free material by subscribing to my YouTube channel and my weekly newsletter at bret.news!Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com

We dissect one of the biggest challenges that eng leaders face in their day-to-day – navigating the balance between going deep in technical work & maintaining a high-level view of business strategy. Oded Kedem, Chief Technology Officer @ BigPanda, shares examples from his experience, covering strategies for prioritizing where to go deep into the technology, bringing technical expertise to the executive team, bridging the gap between marketing & technology, and aligning customer expectations with a product's actual capabilities. Oded also shares frameworks for prioritization conversations, valuable questions to pose during executive decision-making conversations, and approaches to changing past technical decisions.ABOUT ODED KEDEMOded Kedem, Chief Technology Officer at BigPanda, brings a wealth of experience in software from ground-up development to managing engineering teams and was also the founder of Zerto, a Cloud BC/DR company. Throughout his many years in the industry, Oded has developed a deep understanding of AIOps and the needs of customers. He recognizes that we are just scratching the surface with AI and automation.“As companies evolve, people change roles and the technology changes, the requirements change. We chose in the past, the product does it in method A. Let's ask, 'Okay, why did we choose A in the first place?' And once in a while, someone from engineering came up and said, 'Yeah, I have a great idea. Let's do B.' And I would always send them, 'Okay, go back to the documentation, because if you thought this through and you think that making these changes is worth our while and the risk and the instability it may bring, let's go, let's do it.'”- Oded Kedem   We're less than one week away from GLOW 2024Attend GLOW 2024 - Jellyfish's virtual summit for engineering, product, and finance leaders who are looking to deliver greater business impact while building great software and teams. Here's a preview of what's in store:An inspiring guest keynote by TIME Magazine's Kid of the Year, Gitanjali RaoStrategies for engineering excellence from CTOs at Keller Williams, Genius Sports, and FanDuelJellyfish CEO and Co-Founder Andrew Lau's keynote on the future of software engineeringExciting product roadmap updates from JellyfishRegister for this May 15 event today at jellyfish.co/glow!SHOW NOTES:Keeping a high-level view while diving deep into the technology (2:48)The story of how Oded first connected to this particular problem (5:03)Oded's process for prioritizing where to go deep into the technology (7:20)Prioritization strategies & why it's sometimes hard to say no to jumping in (9:40)How to bring technical expertise / value to the exec team (13:57)Best practices for tough conversations regarding org direction & capabilities (17:40)Types of questions to ask in executive conversations (19:58)Oded's favorite question to pose (23:33)Bridging the gap between marketing & technology (24:26)How an eng perspective helps shape a product's marketing outcome (27:12)Frameworks for aligning customer expectations with a product's capabilities (29:33)Approaches to changing past technical decisions as an eng leader (31:21)Rapid fire questions (35:25)LINKS AND RESOURCESTalking to Strangers: What We Should Know About the People We Don't Know - Malcolm Gladwell, host of the podcast Revisionist History and author of the #1 New York Times bestseller Outliers, offers a powerful examination of our interactions with strangers -- and why they often go wrong.This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/

In this conversation, hosts Sean Sebring and Chrystal Taylor talk with Derek Daly, Principal AIOps Product Manager at SolarWinds. He discusses his career journey and the role of AI and machine learning in the company's products. He shares insights into the process of introducing AI and machine learning into product features, the impact of AI on jobs, and the considerations for on-premises vs cloud deployment.      © 2024 SolarWinds Worldwide, LLC. All rights reserved 

AI and automation are hot topics in telco, but not all projects are created equal in terms of the bottom-line value. We dive into how to calculate total value, and discuss why the area of assurance looks set to generate the most value. We provide key questions to ask when considering what AIOps to add... Read more »