Techsplainers by IBM

Explore Think 2026: https://www.ibm.biz/think2026event 

This episode of Techsplainers introduces AIOps observability, explaining how artificial intelligence transforms traditional IT monitoring into intelligent, automated systems. We explore how AIOps observability works by collecting logs, traces, and metrics, then applying AI capabilities like anomaly detection, root cause analysis, and predictive analytics to make sense of this data. The episode details how this powerful combination automates troubleshooting, reduces recovery time, and improves operational efficiency. We examine practical use cases including alert fatigue reduction, capacity planning, and performance degradation prevention. Finally, we look at how generative AI is enhancing observability platforms with natural language interfaces that allow IT teams to quickly diagnose issues without manual dashboard navigation. Techsplainers shows how these technologies are reshaping IT operations, with adoption growing significantly year over year.

Find more information at https://www.ibm.com/think/topics/aiops-observability
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Narrated by Matt Finio

Explore Think 2026: https://www.ibm.biz/think2026event 

This episode of Techsplainers explores edge computing, a distributed framework that processes data closer to its source rather than sending everything to centralized cloud data centers. Matt explains how edge computing works through components like edge devices, gateways, and network infrastructure, highlighting how it complements rather than replaces cloud computing. Listeners will discover the key benefits of edge computing, including improved performance through reduced latency, optimized real-time decision making with local analytics, stronger security through localized data processing, enhanced scalability, increased operational efficiency, and reduced costs. The episode also covers the emerging field of edge AI, which processes machine learning workloads directly on connected devices, and examines real-world applications across healthcare, transportation, telecommunications, financial services, and entertainment industries.

Find more information at https://www.ibm.com/think/topics/edge-computing
Find more episodes here https://www.ibm.biz/techsplainers-podcast

Narrated by Matt Finio

Explore Think 2026: https://www.ibm.biz/think2026event 

This episode of Techsplainers explores hybrid cloud architecture—the approach that combines on-premises, private cloud, and public cloud environments into a unified IT infrastructure. We examine how hybrid cloud has evolved from traditional data centers to become a cornerstone of digital transformation, enabling organizations to balance security, cost, and innovation. The discussion covers the building blocks that make hybrid cloud work, including network connectivity through VPNs and APIs, virtualization technologies, containerization for application portability, and unified management platforms. We also clarify the distinction between hybrid cloud and multicloud approaches, while highlighting how most enterprises today leverage both in ""hybrid multicloud"" environments. The episode concludes by examining key benefits including agility, business continuity, cost savings, application modernization, and support for emerging technologies like generative AI.

Find more information at https://www.ibm.com/think/topics/hybrid-cloud-architecture
Find more episodes here https://www.ibm.biz/techsplainers-podcast

Narrated by Matt Finio

Explore Think 2026: https://www.ibm.biz/think2026event 

This episode of Techsplainers explores agentic coding in depth, building on our previous introduction. Matt explains how coding agents work across development stacks, distinguishing between vibe coding, agentic coding, and agentic engineering on the AI assistance spectrum. The episode highlights practical applications, from code reviews to feature development, while acknowledging the substantial benefits of handling mechanical coding tasks. Matt also addresses important challenges like subtle bugs and over-reliance, concluding with five best practices: defining guardrails, reviewing all AI-generated code, maintaining observability, providing proper context, and offering feedback to these AI collaborators. As with any powerful tool, thoughtful implementation is key to maximizing the value of agentic coding.

Find more information at https://www.ibm.com/think/topics/agentic-coding
Find more episodes here https://www.ibm.biz/techsplainers-podcast

Narrated by Matt Finio

Explore Think 2026: https://www.ibm.biz/think2026event

This episode of Techsplainers explores the concept of AI sovereignty, the ability of organizations and nations to control their artificial intelligence ecosystem. We examine why AI sovereignty has evolved beyond traditional data residency concerns into a holistic strategy covering infrastructure, data, models, and operations. The discussion highlights the four core components of AI sovereignty: data sovereignty, operational sovereignty, digital sovereignty, and AI infrastructure. We also distinguish between AI sovereignty and sovereign AI, explore implementation approaches using public cloud, hybrid cloud, and on-premises solutions, and outline key benefits including enhanced security, regulatory compliance, operational resilience, and competitive advantage. Finally, we provide best practices for organizations looking to implement an effective AI sovereignty strategy in an increasingly AI-driven business landscape.

Find more information at https://www.ibm.com/think/topics/ai-sovereignty
Find more episodes at https://www.ibm.biz/techsplainers-podcast

Narrated by Matt Finio