Loading…
Hosted by IBM · 🇺🇸 US · EN · 151 episodes
Established thought leaders with verified media credentials.
Introducing the Techsplainers by IBM podcast, your new podcast for quick, powerful takes on today’s most important AI and tech topics. Each episode brings you bite-sized learning designed to fit your day, whether you’re driving, exercising, or just curious for something new.This is just the beginning. Tune in every weekday at 6 AM ET for fresh insights, new voices, and smarter learning.Visit podcast page: https://www.ibm.com/think/podcasts/techsplainers
IBM hosts Techsplainers by IBM, a business show with 151 episodes published.
This episode of Techsplainers explores infrastructure automation as the broader goal behind infrastructure as code practices. It explains how automation allows organizations to provision, configure and manage infrastruct
This episode of Techsplainers explores how Terraform is used to implement infrastructure as code, focusing on the practical mechanics that turn infrastructure from a manual process into a repeatable engineering disciplin
This episode of Techsplainers explores provisioning through the lens of infrastructure as code, explaining why it is such a foundational part of modern IT operations. It breaks down provisioning as the process of setting
This episode of Techsplainers explores infrastructure as code, the DevOps practice of automating infrastructure provisioning and management through configuration files rather than manual processes. It explains how IaC tr
This episode of Techsplainers introduces IT infrastructure as the foundation of modern digital business. It explains how hardware, software and networking work together to support the systems organizations depend on ever
This episode of Techsplainers explores streaming analytics, the real-time analytics layer that helps organizations continuously ingest, process and analyze streaming data as it is generated. The episode explains how stre
This episode of Techsplainers explores event-driven architecture, a software design approach built around detecting, publishing and responding to events as they happen. The episode explains how EDA differs from more trad
This episode of Techsplainers explores Apache Kafka, the open-source event-streaming platform that has become a cornerstone of modern real-time data systems. The episode explains how Kafka helps organizations publish, st
This episode of Techsplainers explores data streaming platforms and how they help organizations continuously capture, process, analyze and deliver data in real time or near-real time. The episode explains why these platf
This episode of Techsplainers explores real-time data streaming and why it has become essential for modern enterprises that need immediate insight from fast-moving information. The episode explains how real-time streamin
This episode of Techsplainers explores Crew AI, an open-source Python framework that enables the creation of collaborative AI teams with specialized roles and responsibilities. Developed by Joao Moura, Crew AI implements
This episode of Techsplainers explores LangChain, an open-source framework that's revolutionizing how developers build applications powered by large language models. Created by Harrison Chase in 2022, LangChain provides
This episode of Techsplainers explores LangGraph, an open-source framework that extends LangChain to enable stateful, cyclic workflows for large language model applications. Built by the team behind LangChain, LangGraph
This episode of Techsplainers explores Langflow, an innovative open-source visual programming tool that makes building AI applications with large language models more accessible and intuitive. Unlike traditional coding a
This episode of Techsplainers explores MetaGPT, an innovative open-source framework that orchestrates multiple AI agents to function as a virtual software development team. Created by DeepWisdom AI, MetaGPT transforms si
This episode of Techsplainers explores AutoGen, Microsoft Research's innovative open-source framework that enables multiple AI agents to collaborate through conversation. Unlike traditional single-agent systems, AutoGen
This episode of Techsplainers explores AgentGPT, an open-source framework that democratizes the creation of autonomous AI agents. We examine how this technology allows users without coding expertise to create goal-orient
This episode of Techsplainers explores BabyAGI, an open-source framework that demonstrates how autonomous AI agents can create, prioritize, and execute tasks to achieve specific goals. Developed by Yohei Nakajima in 2023
This episode of Techsplainers explores ChatDev, a groundbreaking research framework that simulates a collaborative software development team composed entirely of large language model agents. Developed by researchers at T
This episode of Techsplainers explores AutoGPT, a groundbreaking autonomous AI agent that represents a significant evolution beyond traditional chatbots. Unlike conventional AI assistants that respond to one prompt at a
Sponsor detection runs nightly. Check back soon.
No public pitch examples yet for this show.
Generate your own personalised pitchBased on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:
Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.
Shows with the most semantically similar episode content. Pitch one, pitch all; producers cluster.
Techsplainers by IBM has a verified contact on file. Create a free PitchCentric account to access it and generate a personalised pitch in seconds. Research at least 3 recent episodes first and lead with a specific angle that serves their business audience.
Techsplainers by IBM is hosted by IBM. The show is categorised under business (technology) and has published 151 episodes.
Techsplainers by IBM has published 151 episodes.
Techsplainers by IBM regularly covers business, technology. It sits in the business category, with a technology focus.
Techsplainers by IBM is accessible for guests with genuine business expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
Techsplainers by IBM hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.
Episodes of Techsplainers by IBM average 8 minutes. a focused format where a clear narrative arc and tight preparation matter most.
Our data rates Techsplainers by IBM's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.
Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 3 days ago.