Techsplainers by IBM

This episode of Techsplainers explores cloud architecture—the foundational blueprint for cloud computing environments. We break down the four essential components: the front-end (user interfaces and dashboards), the back-end (servers, databases, and infrastructure), the network (connections between components), and cloud delivery models (IaaS, PaaS, and SaaS). The discussion covers various deploym...

This episode of Techsplainers explores private cloud computing—how it provides cloud benefits with enhanced security and control for organizations with sensitive data or specific regulatory requirements. Find more information at https://www.ibm.com/think/topics/private-cloud Find more episodes at https://www.ibm.biz/techsplainers-podcast Narrated by Douglas Lambert

"This episode of Techsplainers explores public cloud computing, where third-party providers deliver computing resources over the internet on a pay-as-you-go basis. Douglas explains how public cloud works as a multi-tenant environment where users share virtualized resources while maintaining data isolation. The discussion covers the three primary service models—Infrastructure-as-a-Service (IaaS), P...

This episode of Techsplainers explores the inner workings of cloud computing by examining its core components and service delivery models. Host Douglas Lambert explains the three fundamental building blocks of cloud computing: data centers (the physical infrastructure), networking capabilities (enabling high-speed connections), and virtualization (the technology that maximizes hardware efficiency)...

This episode of Techsplainers introduces the fundamentals of cloud computing, explaining it as on-demand access to computing resources over the internet with pay-per-use pricing. Host Douglas Lambert breaks down how cloud computing powers everything from consumer applications like email and streaming services to critical business operations across organizations of all sizes. The discussion covers...

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.