Techsplainers by IBM

This episode of Techsplainers explores AI agent security - the critical frameworks, tools, and practices needed to ensure autonomous AI systems operate safely and responsibly. We examine the unique security challenges of AI agents compared to traditional cybersecurity, focusing on three key risk categories: threats targeting the agents themselves (like prompt injection and training data poisoning)...

This episode of Techsplainers explores AI agent evaluation - the systematic approaches used to assess the performance, capabilities, and limitations of autonomous AI systems. Unlike simpler AI models, agents require multidimensional evaluation frameworks that examine task performance, reasoning quality, safety, adaptability, efficiency, and user experience. We discuss various evaluation methodolog...

This episode of Techsplainers explores AI agent governance - the essential frameworks and practices that ensure autonomous AI systems operate safely, ethically, and effectively. We examine how governance needs to span the entire agent lifecycle, from initial design decisions to ongoing operational oversight. The discussion covers key governance dimensions including access controls, tool usage perm...

This episode of Techsplainers explores AI agent orchestration - the sophisticated process of coordinating multiple specialized AI agents to collaborate effectively on complex tasks. We explain how orchestration systems manage the assignment, communication, and coordination between different AI agents, each with their own capabilities. The episode breaks down the key components of successful orches...

This episode of Techsplainers explores AgentOps, the emerging operational framework for managing and optimizing AI agents throughout their lifecycle. Similar to how DevOps manages software development and MLOps handles machine learning models, AgentOps provides the essential practices, tools, and methodologies for deploying, monitoring, evaluating, governing, and continuously improving autonomous...

This episode of Techsplainers explores financial management—the framework guiding resource allocation and investment decisions—and how AI and automation are transforming how organizations plan, budget, and optimize financial operations.

This episode of Techsplainers explores scenario planning—how organizations create multiple possible futures to manage uncertainty, mitigate risks, and make better strategic decisions across finance, supply chain, and beyond.

This episode of Techsplainers explores AI in Financial Planning & Analysis—how machine learning and generative AI are transforming finance from number-crunchers into strategic advisors.

This episode of Techsplainers explores Extended Planning & Analysis (xP&A)—how organizations can evolve beyond traditional financial planning to create a unified, AI-powered approach across all departments.

This episode of Techsplainers explores Enterprise Performance Management (EPM) and how it helps finance teams transform from number-crunchers into strategic advisors through AI-powered planning and analytics.

This episode of Techsplainers explores how modern ETL has evolved into an agile, cloud-native approach that processes data in real-time to support today's fast-paced business needs.

This episode of Techsplainers explores Change Data Capture (CDC)—the technique that keeps systems synchronized by tracking and transferring only data changes rather than entire databases.

This episode of Techsplainers explores real-time data integration—how organizations capture and process data in milliseconds to power instant decision-making and AI applications.

This episode of Techsplainers breaks down the key differences between ETL and ELT data integration approaches, explaining when to use each method for optimal data processing.

This episode of Techsplainers explores data integration—the process of combining scattered information into usable insights, from ETL to real-time approaches and their business benefits.

This episode of Techsplainers explores how identity threat detection and response (ITDR) tools protect the enterprise identity fabric by monitoring for suspicious behavior and automatically stopping attacks.

This episode of Techsplainers explores identity fabric: the integration layer that unifies disparate identity systems across hybrid environments to eliminate security gaps and enable consistent control.

This episode of Techsplainers explores nonhuman identities—the digital IDs attached to apps, bots and devices that outnumber human users in most organizations and present unique security challenges.

This episode of Techsplainers explains digital identity—the unique profiles that authenticate users and machines in IT systems—and why they're the foundation of effective identity security strategies.

This episode of Techsplainers explores identity security. Learn why protecting digital identities has become the cornerstone of modern cybersecurity and how organizations implement this crucial approach.

This episode of Techsplainers explores asset tracking technologies and systems that help organizations monitor and manage their physical assets for better efficiency and reduced losses.

This episode of Techsplainers explores CMMS software—how these systems automate maintenance operations, reduce downtime, and leverage AI to predict equipment failures before they happen.

This episode of Techsplainers examines the five types of preventive maintenance strategies and how modern technologies like IoT and AI are revolutionizing equipment maintenance practices.

This episode of  Techsplainers  explores Energy Asset Management—how organizations track, maintain and optimize critical power infrastructure to ensure reliability while facing growing demand and sustainability challenges.

This episode of Techsplainers explores asset lifecycle management—how organizations track, maintain and optimize valuable resources from purchase through disposal using IoT and AI technologies.