Techsplainers by IBM
Techsplainers by IBM is a daily podcast that delivers quick, powerful insights on the most important AI and tech topics. Each episode offers bite-sized learning designed to fit into your day, whether you're driving, exercising, or just curious. New episodes are released every weekday at 6 AM ET, featuring fresh perspectives and smarter learning.
Episodes
What is Containerization?
This episode of Techsplainers introduces containerization, the revolutionary technology that's transforming how applications are built, deployed, and run across environments. Host Derek Robertson explains how containers package everything an application needs – code, runtime, libraries, and settings – into standardized, isolated units that can run consistently anywhere. We explore how containeriza
What is Terraform?
This episode of Techsplainers introduces Terraform, the powerful open-source infrastructure as code tool that's revolutionizing how organizations manage their IT resources. Host Derek Robertson explains how Terraform allows teams to define their entire infrastructure – from servers and networks to databases and services – in simple, declarative configuration files. We explore Terraform's core work
What are Microservices?
This episode of Techsplainers explores microservices architecture, explaining how applications are built as collections of small, independent services rather than monolithic codebases. We examine the key characteristics of microservices including independent deployability, loose coupling, domain focus, decentralized data, and failure design. The discussion covers significant benefits like developm
What is DevSecOps?
This episode of Techsplainers explores DevSecOps, the practice of integrating security throughout the entire software development lifecycle rather than treating it as an afterthought. The discussion covers how DevSecOps represents a fundamental shift from traditional approaches by making security everyone's responsibility - from developers to operations teams. We explore core principles including
What is identity orchestration?
This episode of Techsplainers explores identity orchestration, a powerful solution for coordinating disparate identity and access management systems across organizations. We explain how modern businesses struggle with fragmented identity landscapes as they adopt numerous SaaS applications and multi-cloud environments. The episode details how identity orchestration platforms create a central contro
What is single sign-on (SSO)?
This episode of Techsplainers explores single sign-on (SSO), the authentication approach that lets users access multiple applications with just one login. Building on our previous authentication discussions, we explain how SSO balances security with convenience by eliminating the need for multiple passwords while enabling stronger authentication practices. The podcast walks through how SSO works t
What is biometric authentication?
This episode of Techsplainers explores biometric authentication, a method of verifying user identity based on who you are rather than what you know or have. Building on our previous discussions of authentication methods, we examine how biometrics offer a compelling alternative to vulnerable passwords by using unique physical characteristics like fingerprints, facial features, and iris patterns. Th
What is MFA (multifactor authentication)?
This episode of Techsplainers explores multifactor authentication (MFA) as a critical defense against account compromise and identity theft. Building on our previous authentication discussion, we examine how MFA requires multiple types of evidence to verify identity—from something you know (passwords) and something you have (security tokens) to something you are (biometrics) and something you do (
Authentication vs. authorization: What’s the difference?
This episode of Techsplainers explores the fundamental difference between authentication and authorization in cybersecurity. Authentication verifies who you are—using factors like passwords, security tokens, or biometrics—while authorization determines what you're allowed to do once your identity is confirmed. We examine how these complementary processes work, from simple password logins to sophis
What is straight-through processing?
This episode of Techsplainers introduces straight-through processing (STP), a methodology that automates business transactions from initiation to settlement without human intervention. We explore how STP works through a practical example of a grocery chain ordering tomatoes, where inventory systems automatically detect needs, validate orders, enrich data, route payments, and handle fulfillment and
What is CRM integration?
This episode of Techsplainers explores CRM integration - the process of connecting customer relationship management systems with other business applications and platforms to create a unified data flow. We examine how integration methods like APIs, iPaaS, and pre-built connectors enable data exchange between systems. The episode covers various integration examples, including accounting, e-commerce,
EDI and ERP integration: best practices, benefits and challenges
This episode of Techsplainers explores EDI-ERP integration, the critical connection that enables automated data flow between electronic data interchange platforms and enterprise resource planning systems. Building on our previous EDI episodes, we examine how these integrations eliminate manual data entry while accelerating order processing and improving supply chain visibility. We break down six
What is low-code integration?
This episode of Techsplainers explores low-code integration, a modern approach to connecting applications and data sources without extensive coding. We dive into how these platforms use visual interfaces, pre-built connectors, and automated processes to simplify the traditionally complex task of system integration. The episode covers key features of low-code iPaaS solutions, compares them with oth
What is native integration?
This episode of Techsplainers introduces native integration—the built-in connections that enable different applications to seamlessly work together without external middleware. We explore how these integrations function, often using APIs to facilitate data exchange while being maintained by the application vendors themselves. The discussion covers common examples of native integrations in helpdesk
What is forecasting?
This episode of Techsplainers explores forecasting—the method of predicting future outcomes by analyzing patterns in historical and current data. We explain how businesses use forecasting to estimate demand, project sales, and plan for growth, with AI-powered tools now reducing errors by up to 50%. The episode walks through the six-step forecasting process and compares qualitative methods (like th
What is financial planning and analysis (FP&A)?
This episode of Techsplainers explores financial planning and analysis (FP&A), completing our week-long series on business planning after covering demand forecasting, integrated business planning, and business agility. We examine how FP&A teams collect and analyze financial data to inform business strategy and optimize decision-making. The podcast breaks down the four key components of FP&
What is business agility?
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 o
What is integrated business planning (IBP)?
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
What is demand forecasting?
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 alon
What is observability in AIOps
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 predicti
What is edge computing?
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
What is hybrid cloud architecture?
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 secur
What is agentic coding?
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 fe
What is AI sovereignty?
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 hi
How quantum-centric supercomputing works?
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 mainta
What is quantum-centric supercomputing?
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, interfe
What is OpenRAG?
Explore Think 2026: https://www.ibm.biz/think2026event This episode of Techsplainers introduces OpenRAG, IBM's open-source framework that connects large language models to enterprise data sources. We explore how OpenRAG builds bridges between powerful AI and organizational knowledge through Retrieval-Augmented Generation (RAG), enabling AI systems to ground their responses in actual company inform
What is data retrieval?
Explore Think 2026: https://www.ibm.biz/think2026event This episode of Techsplainers explores data retrieval, the essential process of accessing information from various data sources. We examine how this field has evolved beyond simple database queries to encompass complex AI-driven techniques. The discussion covers traditional approaches like SQL and indexing alongside modern methods including ve
Multi-agent collaboration
Explore Think 2026: https://www.ibm.biz/think2026event This episode of *Techsplainers* explores multi-agent collaboration, where multiple AI agents work together as a coordinated team to accomplish complex tasks. We explain how these systems have evolved beyond traditional LLMs to create autonomous workflows for research, support, analysis, and operations. The discussion covers key collaboration
What is data governance?
This episode of Techsplainers explores data governance, the essential framework that ensures organizational data is properly managed, protected, and utilized. Amanda explains how data governance serves as an "air traffic control system" for information, defining policies and procedures for data collection, storage, and usage throughout its lifecycle. The discussion covers the four key components o
What is synthetic data?
This episode of Techsplainers explores synthetic data - artificially generated information designed to mimic real-world data while preserving statistical properties and patterns. Amanda explains how synthetic data has become critical for AI development by addressing issues of data scarcity, privacy concerns, and training needs. The discussion covers the three types of synthetic data (fully synthet
What is unstructured data?
This episode of Techsplainers explores unstructured data - information without predefined formats that makes up 90% of enterprise data. Amanda explains how unstructured data differs from structured and semi-structured data, covering its diverse sources from emails to social media posts to sensor data. The discussion highlights why unstructured data has transformed from "dark data" into a strategic
What is bad data?
This episode of Techsplainers explores the concept of "bad data" - information that compromises decision-making because it's inaccurate, incomplete, inconsistent, outdated, duplicate, invalid, or biased. We examine why bad data is particularly dangerous due to its stealthy nature, often going undetected until significant damage occurs. Through real-world examples like Unity Technologies' $110 mill
What is AI-ready data?
This episode of Techsplainers explores the concept of AI-ready data - high-quality, accessible, and trusted information that organizations need for successful artificial intelligence initiatives. We examine why only 29% of technology leaders believe their data meets AI readiness standards and break down the four essential characteristics that make data truly AI-ready: being unified and accessible,
What is cloud architecture?
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
What is private cloud?
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-cloudFind more episodes at https://www.ibm.biz/techsplainers-podcastNarrated by Douglas Lambert
What is public cloud?
"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
Part 2: Cloud computing fundamentals
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)
Part 1: Cloud computing fundamentals
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
What is AI agent security?
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)
What is AI agent evaluation?
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
What is AI agent governance?
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
What is AI agent orchestration?
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
What is AgentOps?
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
What is financial management?
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.
What is scenario planning?
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.
AI in financial planning & analysis
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.
What is extended planning analysis (xP&A)
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.
What is enterprise performance management (EPM)?
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.
Modern ETL: The brainstem of enterprise AI
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.
What is change data capture?
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.
What is real-time data integration?
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.
ELT vs. ETL: What's the difference?
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.
What is data integration?
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.
What is identity threat detection and response (ITDR)?
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.
What is an identity fabric?
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.
What is nonhuman identity?
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.
What is digital identity?
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.
What is identity security?
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.
What is asset tracking?
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.
What is a CMMS?
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.
What is preventive maintenance?
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.
What is enterprise asset management (EAM)?
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.
What is asset lifecycle management (ALM)?
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.
What is dark data?
This episode of Techsplainers explores dark data - information organizations collect but never use - and how proper management can transform this hidden liability into valuable business insights.
What is data observability?
This episode of Techsplainers explores data observability - how organizations monitor data health to prevent costly errors and maintain quality across systems, pipelines and processes.
What is data reliability?
This episode of Techsplainers explores data reliability—how organizations measure, maintain and improve the consistency and accuracy of their data to enable trusted insights and better decision-making.
What are data quality dimensions?
This episode of Techsplainers examines the six core data quality dimensions that form the foundation of trusted data for analytics and AI: accuracy, completeness, consistency, timeliness, validity, and uniqueness.
What is data quality?
This episode of Techsplainers explores data quality, examining the seven dimensions that determine if data is fit for purpose and how poor quality data undermines AI systems and business decisions.
What code LLMs mean for the future of software development
This episode of Techsplainers examines Code LLMs—specialized AI models trained on programming languages that help developers write, understand, and improve code through AI-powered assistance.
What is COBOL modernization?
This episode of Techsplainers examines COBOL modernization approaches—from rehosting and refactoring to complete replacement—helping organizations evolve critical legacy systems while preserving valuable business logic.
What is legacy code?
This episode of Techsplainers examines legacy code challenges and strategies, from incremental modernization to service wrappers, helping organizations maintain vital systems while evolving their tech landscape.
AI code documentation: Benefits and top tips
This episode of Techsplainers examines how AI tools are revolutionizing code documentation, saving developer time while creating more consistent, comprehensive, and maintainable software documentation.
What is code refactoring?
This episode of Techsplainers explores code refactoring—how developers restructure code to improve quality while maintaining functionality, using techniques like Extract Method and removing duplication.
iPaaS examples and use cases
This episode of Techsplainers explores iPaaS use cases across industries, from automating workflows to connecting applications, with real-world examples of how this integration technology drives digital transformation.
What is iPaaS (integration platform as a service)?
This episode of Techsplainers demystifies iPaaS—cloud-based integration platforms that connect diverse apps and data sources, helping organizations break down silos and automate workflows without complex coding.
What is enterprise application integration?
This episode of Techsplainers explores enterprise application integration (EAI), showing how businesses connect disparate systems using various architectures from point-to-point to microservices.
What is EDI integration?
This episode of Techsplainers explores how EDI integration connects business systems to automate data exchange, examining architecture patterns, connectivity options, and emerging AI trends.
What is electronic data interchange (EDI)?
This episode of Techsplainers explains electronic data interchange (EDI) - how standardized digital systems enable businesses to automatically exchange documents like invoices and purchase orders.
What are hierarchical AI agents?
This episode of Techsplainers explores hierarchical AI agents - multi-tiered systems where strategic, tactical and specialized AI components work together to solve complex problems efficiently.
