The mission of the AI+ITOPS Podcast is to discuss the struggles faced by ITOps — such as digital transformation and the need to keep IT services "always on" — and explore how AI/ML, AIOps, Application Performance Management (APM), and other ITOps and DevOps technologies can help.
Episode 11: Exploring Distributed Tracing
Featured Guest: Andrew Tunall, GM, New Relic Serverless & Emerging Cloud Services
Posted October 26, 2020
Episode 10: The Promise of Emerging Technology
Featured Guest: Prem Naraindas, CEO of Katonic.ai
Posted October 5, 2020
Episode 9: The Impact of the Pandemic on IT Teams
Featured Guest: Sean McDermott, President and CEO, Windward Consulting Group
Posted September 28, 2020
Episode 8: The Real Benefits of AIOps
Featured Guest: Michael Olson, Director of Product Marketing at New Relic
Posted September 21, 2020
Episode 7: The Future of APM, AIOps and Observability
Featured Guest: Will Cappelli, Field CTO of Moogsoft and former Gartner Research VP
Posted September 14, 2020
Episode 6: Taking AIOps to the Edge
Featured Guest: Mark Thiele, Co-Founder and CEO of Edgevana
Posted September 8, 2020
Episode 5: AIOps Hype vs. Reality
Featured Guest: Bhanu Singh, SVP of Engineering and DevOps at Opsramp
Posted August 31, 2020
Episode 4: The Right Data, Right Time, Right Insights
Featured Guest: IBM Fellow Mac Devine, VP & CTO Strategic Customer Success, Watson Cloud Division of IBM
Posted August 24, 2020
Episode 3: Technology Is Hard - People Are Harder
Featured Guest: Cloud Computing Pioneer Mike Kavis, Managing Director at Deloitte Consulting
Posted August 17, 2020
Episode 2: AIOps, Open Telemetry, Observability, and More
Featured Guest: Jonah Kowall, CTO of Logz.io and former Gartner Research VP
Posted August 10, 2020
Episode 1: An Insider's Look at EMA's AIOPS Research
Featured Guest: Dennis Drogseth, VP at Enterprise Management Associates (EMA)
Posted August 3, 2020
If you would like to listen to the AI+ITOPS Podcast on a service that is not listed above, please send a request to APMdigest.
About the Podcast Host
The AI+ITOPS Podcast is hosted by Andy Thurai of The Field CTO (TheFieldCTO.com). Thurai is an accomplished IT executive, strategist, advisor and evangelist with 25+ years of experience in executive, technical and architectural leadership positions at companies such as IBM, Intel, BMC, Nortel and Oracle; he advises many start-ups; and he is a Steering Committee Member for AIOps Exchange. He has been a keynote speaker in many major conferences, as well as host of many webcasts, podcasts and video chats. He is a regular Forbes contributor, and has written 100+ articles on emerging technology topics for publications such as Forbes, AI World, VentureBeat and Wired. Andy Thurai can be reached on Twitter at @AndyThurai, LinkedIn, or his website at www.TheFieldCTO.com.
A recent report by Workspot, State of End-User Computing and Remote Work highlights the consequences of the shift to remote and hybrid workstyles and how IT leaders are responding ... The report provides insights into three key areas and highlights the steps IT leaders are taking to mitigate risk and future proof their business ...
Forced by the pandemic to provide employees with access to the systems and information they needed to work from home, IT organizations around the world turned to traditional technologies like Virtual Private Networks (VPN). And they worked. But as the world moves to hybrid work, 96% of IT leaders who participated in a recent global survey conducted by Gartner Peer Insights on behalf of Citrix Systems, Inc., say they no longer cut it. And they're rethinking their approach ...
Artificial Intelligence for IT Operations (or AIOps for short) continues to be a hot topic among developers, SREs, or DevOps professionals. The case for AIOps is especially crucial given the expansive nature of today's observability efforts across hybrid and multi-cloud environments. As with most observability challenges, AIOps starts with telemetry data: metrics, logs, traces, and events ...
The development of the Thousand Brains Theory of Intelligence framework will now serve as a foundation for further research and new developments in Artificial Intelligence (AI) and Machine Learning (ML) ...
IT teams feel overwhelmed by too many tools that do not provide a unified view of the entire IT infrastructure, according to The Shift to Unified Observability: Reasons, Requirements, and Returns, a new independent survey conducted by IDC in collaboration with Riverbed ...
Legacy systems require a great deal of a prior knowledge, and then significant configuration, for anomaly detection to work effectively. ML and AI are beginning to change that, but it's important to really validate the claims of any NPM solution ...
Successful insight into the performance of a company's networks starts with effective network performance management (NPM) tools. However, with the plethora of options it can be overwhelming for IT teams to choose the right one. Here are 10 essential questions to ask before selecting an NPM tool ...
Hybrid and remote work environments have been growing significantly in the past few years. As individuals move away from traditional office settings in today's new remote and hybrid environments, many operational issues such as poor visibility into asset status and refreshes, unaccounted assets, and overspending on software are becoming a bigger challenge for IT departments ...
MLOps or Machine Learning Operations are a combination of best processes and practices that businesses use to run AI successfully ... While it is a relatively new field, MLOps is a collective effort that captured the interest of data scientists, DevOps engineers, AI enthusiasts, and IT ...
The data is in: enterprises are not happy with their managed service providers (MSPs) and cloud service providers (CSPs). According to the latest CloudBolt Industry Insights report, Filling the Gap: Service Providers' Increasingly Important Role in Multi-Cloud Success, 80% are so unsatisfied with their existing MSP and/or CSP, they are actively looking to replace them within 12 months ...