Platform as a Product: Fundamentals and Best Practices

Platform as a Product: Fundamentals and Best Practices

Savvy organisations are discovering the value of treating their internal platforms as products. But what does it mean to treat a “platform as a product”? What benefits does this give, and why would an organisation adopt this approach? In this talk, Manuel Pais, co-author of the book Team Topologies, explains why the platform-as-product approach can be a game-changer for organisations building and running software-enabled products and services. Using ideas & patterns from Team Topologies - including Thinnest Viable Platform, team cognitive load, and the evolutionary team interaction modes - Manuel explains how organisations like Adidas and Uswitch have successfully used the platform-as-product model to accelerate and simplify the delivery of software at scale. Speaker: Manuel Pais, Co-Author Team Topologies. Bio: Manuel Pais is co-author of Team Topologies: organizing business and technology teams for fast flow. Recognized by TechBeacon as a DevOps thought leader, Manuel is an independent IT organizational consultant and trainer, focused on team interactions, delivery practices and accelerating flow. Manuel is also a LinkedIn instructor on accelerating Continuous Delivery in the enterprise.


https://www.youtube.com/watch?v=b8YHCDMxqfg

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(144)

The 7 Skills You Need to Build AI Agents

The 7 Skills You Need to Build AI Agents

As AI agents become more capable, the skills needed for AI jobs are shifting. Bri Kopecki breaks down the 7 skills you need to move from prompt engineering to full agent engineering, including system ...

11 Aug 19min

What is LangChain?

What is LangChain?

LangChain became immensely popular when it was launched in 2022, but how can it impact your development and application of AI models, Large Language Models (LLM) in particular. In this video Martin Ke...

5 Aug 20min

LangChain vs LangGraph

LangChain vs LangGraph

Get ready for a showdown between LangChain and LangGraph, two powerful frameworks for building applications with large language models (LLMs.) Master Inventor Martin Keen compares the two, taking a lo...

30 Jul 16min

RAG vs Agentic AI

RAG vs Agentic AI

Agentic AI and RAG are redefining how LLMs think and act 🤖. Live from TechXchange in Orlando, Martin Keen & Cedric Clyburn unpack how vector databases, data integration, and context engineering enabl...

23 Jul 21min

RAG's Evolution

RAG's Evolution

How did search evolve into agentic AI? Sam Anthony explains RAG's evolution, from simple retrieval to adaptive systems powered by LLMs. Learn how semantic search, hybrid retrieval, and AI agents enabl...

16 Jul 13min

AI Agent Skills

AI Agent Skills

We're all using AI agents, but they still lack the procedural knowledge real work needs. Martin Keen explains how agent skills, LLMs, RAG, and MCP help agents follow workflows, automate tasks, and mak...

9 Jul 24min

MCP vs. RAG

MCP vs. RAG

How do AI agents learn and take action? Live from TechXchange in Orlando, Melissa Hadley breaks down how MCP and RAG help large language models connect to data — one to retrieve knowledge, the other t...

2 Jul 20min

RAG vs Fine-Tuning vs Prompt Engineering

RAG vs Fine-Tuning vs Prompt Engineering

How do AI chatbots deliver better responses? Martin Keen explains RAG 🛠️, fine-tuning , and prompt engineering methods that extend knowledge, refine responses, and build domain expertise. Learn how t...

25 Jun 20min

Populært innen Fakta

fastlegen
dine-penger-pengeradet
relasjonspodden-med-dora-thorhallsdottir-kjersti-idem
foreldreradet
treningspodden
jakt-og-fiskepodden
rss-kunsten-a-leve
rss-strid-de-norske-borgerkrigene
mikkels-paskenotter
hverdagspsyken
sinnsyn
fryktlos
gravid-uke-for-uke
rss-var-forste-kaffe
rss-sarbar-med-lotte-erik
laringsmiljo-i-skole-og-barnehage-uis-podkast
rss-orjasater
rss-impressions-2
kvallm
lrerrommet