Techsplainers by IBM

This episode of Techsplainers explores business agility, building on our previous discussions of demand forecasting and integrated business planning. We examine how organizations sense and adapt to change through innovative solutions that deliver business value. The podcast breaks down the four core pillars of business agility—culture, people, governance, and leadership—and explores the benefits of an agile approach, including customer-centricity, accelerated decision-making, continuous improvement, and enhanced adaptability. We also cover best practices for implementation, from formalizing vision statements to creating flexible roadmaps and piloting agile strategies in targeted areas. The episode concludes with a real-world example of Solar Coca-Cola in Brazil, showing how they implemented agile processes that improved efficiency and productivity through cross-collaboration and knowledge sharing.
Learn more about business agility at https://www.ibm.com/think/topics/business-agilityFind more information at https://www.ibm.com/think/podcasts/techsplainers.

Narrated by Amanda Downie

This episode of Techsplainers explores integrated business planning (IBP), a comprehensive framework that aligns strategic, operational, and financial planning across an organization. Following our previous discussion on demand forecasting, we examine how IBP brings together diverse business functions—from sales and marketing to finance and IT—to create a unified business plan. The podcast breaks down the six pillars of IBP: strategic planning, operational planning, financial planning, cross-functional collaboration, data integration and analytics, and continuous performance management. We also highlight key benefits, including enhanced decision-making, improved organizational alignment, increased agility, optimized resource allocation, and better risk management. Finally, we cover implementation essentials and the technological components needed to support effective integrated business planning, from corporate performance management systems to cloud-based solutions. Learn more about integrated business planning (IBP) https://www.ibm.com/think/topics/integrated-business-planning
Find more information at https://www.ibm.com/think/podcasts/techsplainers

Narrated by Amanda Downie

This episode of Techsplainers explores demand forecasting, the process that helps businesses predict future customer needs using historical data and analytics. We examine how modern organizations are leveraging AI, machine learning, and predictive analytics to enhance forecasting accuracy in real-time. The discussion covers qualitative methods like the Delphi method and sales force composites alongside quantitative approaches such as moving averages and econometric modeling. We also explore the six key steps to implementing effective forecasting and four major benefits: informed scaling, accurate budgeting, strategic inventory management, and pointed decision-making. Whether you're managing a supply chain or making strategic business decisions, understanding demand forecasting can help you anticipate market needs with greater precision. Learn more about demand forecasting https://www.ibm.com/think/topics/demand-forecasting
Find more information at https://www.ibm.com/think/podcasts/techsplainers

Narrated by Amanda Downie

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 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 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

Explore Think 2026: https://www.ibm.biz/think2026event This episode of Techsplainers delves into the intricate workings of quantum-centric supercomputing hardware and architecture. Host Ian Smalley explains the quantum processing unit (QPU) at the heart of these systems, describing how superconducting qubits function through Josephson junctions and require temperatures colder than space to maintain their quantum states. The episode outlines the three-phase evolution of quantum-centric supercomputing: from specialized compute engines within existing systems, to tightly coupled resources through advanced middleware, to fully co-designed quantum-HPC systems. Listeners will learn about key challenges facing this technology, including error correction approaches, scaling quantum processors through next-generation interconnects, and algorithm discovery. The discussion also covers IBM's ambitious roadmap toward systems with 2,000 logical qubits by 2033, providing insight into how this revolutionary computing paradigm will mature in the coming years. Find more information at www.ibm.com/think/topics/quantum-centric-supercomputing Find more episodes at https://www.ibm.biz/techsplainers-podcast 
Narrated by Ian Smalley

Explore Think 2026: https://www.ibm.biz/think2026event This episode of Techsplainers introduces quantum-centric supercomputing, a revolutionary approach that combines quantum computing with traditional high-performance computing to create powerful integrated systems. Host Ian Smalley explains how these systems leverage the unique properties of qubits—including superposition, entanglement, interference, and decoherence—to potentially solve complex problems exponentially faster than classical computers alone. The episode covers the fundamental differences between classical and quantum computing, explores potential applications in pharmaceuticals, chemistry, and machine learning, and clarifies that quantum computing will complement rather than replace classical computing. Listeners will gain insight into this cutting-edge technology that IBM predicts will enable major breakthroughs in simulation, optimization, and solving challenging mathematical equations across multiple industries. Find more information at www.ibm.com/think/topics/quantum-centric-supercomputing Find more episodes at https://www.ibm.biz/techsplainers-podcast 
Narrated by Ian Smalley