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TMAP originally started in 1995. So we now, in 2025, celebrate the 30 year anniversary!! As a gift to the Quality Engineering & Testing community we introduce the first TMAP audiobook. This audiobook contains the summary of the TMAP book "Quality for DevOps teams". This summary consists of the introduction texts of all of the chapters in the book (because as the authors state in their foreword, reading all introductions gives a good overview of the contents of the book and helps you decide what chapters to further read). By the way, if you hear something interesting and want to know more, instead of reading the book you can also find the contents on this website. We wish you a lot of inspiration and joy from this audiobook. 

Former member of our Podcast team and Microsoft Cloud Advocate Daniel Laskewitz is now our guest. A great opportunity to check with him the status of Gen-AI at Microsoft. Before we dive into details with Daniel there are some very interesting tech items to discuss. We start with an article on the Verge telling us about how Microsofts Dall-e can filter out specific prompts that could let Copilot generate controversial images (https://www.theverge.com/2024/3/10/24096451/microsoft-blocks-terms-that-could-let-copilot-generate-controversial-images). Local Gen-AI with RAG is something we have been looking at for a long time. Specifically with privacy heavy data (https://blogs.nvidia.com/blog/what-is-retrieval-augmented-generation/). A big topic that Microsoft also implements at scale. Further Gen-AI features that Microsoft delivers can be found in the new partnership that is out there with Mistral AI (https://azure.microsoft.com/en-us/blog/microsoft-and-mistral-ai-announce-new-partnership-to-accelerate-ai-innovation-and-introduce-mistral-large-first-on-azure/). It really unlocks new Large Language Models to be used by developers. All-in-all a fun episode to listen to, with some great Gen-AI updates from Microsoft.

Our guest is Finn Lorbeer (Director of Engineering at MOIA). With him we find out why one great performing autonomous car can master autonomous driving. This opposed to a fleet of cars that are 'semi'-autonomous. There are some great examples of traffic jams caused by deadlocked autonomous cars (either stand-alone or with each other). Our podcast is not complete without tech updates and in this episode we discuss the gadget guide of 2023 (which turns out not to be so innovative) and how AI can help Formula 1 to guard 1000's of track violations in one race (a digital referee of sorts). Gadget gift list EoY 2023  https://www.theverge.com/23933231/smart-home-tech-gift-guide-2023-video-doorbells-plugs-robot-vacuums    Formula 1 uses AI to observe track limits  https://www.reuters.com/sports/motor-sports/formula-one-trials-ai-tackle-track-limits-breaches-2023-11-23/#:~:text=The%20AI%20will%20sort%20out,and%20speeding%20up%20the%20response. 

Automate every step in your product creation proces so you can focus on real creativity. Every step along the way of creating a piece of code and eventually an integrated product can be automated. The creation of the (embedded) code itself is the creative part but all the rest: let's automate! Together with Richard van de Laarschot (chief solution architect quality assurance at Capgemini Engineering) we explore how smart we can make hyper automation. A good message: Be aware not to fall in the bias trap that with a hyper automated production pipeline we find out that the developer working on the most complex parts is responsible for the most defects. The two tech topics for this episode are: Extreme water recycling: https://www.wired.com/story/are-you-ready-for-extreme-water-recycling/ European Union Artificial Intelligence Act: https://www.europarl.europa.eu/thinktank/en/document/EPRS_BRI(2021)698792 

A bright future lies ahead of us with current AI developments. In this episode we discuss what's happening with AI in Silicon Valley with Andreas Sjostrom (Leading the applied innovation lab in San Francisco for Capgemini). Generative AI as well as large language models (think ChatGPT) pain a bright future for us. Sceptics would say that ethics shoot all AI developments in the foot but Andreas holds a techno positive attitude and tells us all about possibilities for more inclusion using AI. We discuss the release of Apple's Vision Pro and the marketing absence of the AI abbreviation during its release. The possibilities for the vision pro are endless. Will it be the next generation computer? The end of PC's and laptops as we know it? Food for discussion. The use of generative AI is a great development and an awesome companion for us. It is developing at an incredible pace. Just keep up and enjoy the ride.

Can Chat GPT help to test a Web page? With this question Paul started his exploration of what is possible with current generation AI. His Youtube video shows his experiment and in this podcast we talk about all the possibilities of adding AI to our test toolkit. Just as with test automation it can speed up so much of the test activities we do. Having a 'robot' at your side, helping you out with the obvious stuff gives you so much focus on the creative and volatile aspects of test engineering that is almost a crime not to use it. Of course there is room in this podcast to talk about tech updates. The James Webb telescope is producing awesome images of the rings of Uranus and there is the imminent launch of JUICE. Keeping in with the space theme we also discuss Star Wars celebrations and the releases of some new Star Wars series and movies! Again a podcast you do not want to miss out on! Can ChatGPT help to test a webpage? Can Chat GPT 4 help us with testing? Could it DO the testing for us? Star wars celebrations 2023 London  https://www.theverge.com/23672874/star-wars-celebration-2023-trailers-news  James Webb telescope pictures of uranus  https://www.nasa.gov/feature/goddard/2023/nasa-s-webb-scores-another-ringed-world-with-new-image-of-uranus 

The carbon footprint of worldwide IT already represents 1,5x of civil aviation and it is expected to increase in the upcoming years. A good starting point to look for more sustainable IT and reducing that footprint. We talk with Wilson Camargo Junior (Sustainability and Intelligent Industry Consultant) and discuss the options for IT solutions that have a lower impact on for example CO2 emissions. Simple actions as using your phone a year longer can make a difference. And we can take up that action. It is better to mine the heap of discarded electronics in stead of mining our beloved planet. More info on sustainable IT in this report

ChatGTP, Dall E are but examples of how accessible Artificial Intelligence (AI) is currently. With Weiwei Feng we discuss the current state of AI and its merits. AI has its ethical dilemmas and it is difficult to check if AI is doing what you want. The possibilities are endless and that is what we explore in this podcast. The tech topics of this podcast episode are: AI eye contact for camera feeds by NVIDIA (https://www.theverge.com/2023/1/26/23572459/ai-eye-contact-tech-nvidia-movie-edit-clips) Massive Microsoft outage (https://www.bleepingcomputer.com/news/microsoft/massive-microsoft-365-outage-caused-by-wan-router-ip-change/)

Today, we have Tobias Zimmergren as our guest in this episode of the podcast! Tobias is Senior Architecture Content Lead at Microsoft and has recently released guidance on how to architect your solutions in the most sustainable way. This guidance is part of the Azure Well-Architectured Framework and in he tells us all about it during this episode!  If you want to read more about the Sustainability guidance, make sure to read this blog by Tobias: Announcing sustainability guidance in the Azure Well-Architected Framework http://aka.ms/waf/sustainability Of course, we also have our tech updates: Matter for IoT https://en.wikipedia.org/wiki/Matter_(standard) ChatGPT http://chat.openai.com/

Have you ever wondered what governments do to comply to all kinds of security, compliance and policy requirements? Microsoft has introduced Microsoft Cloud for Sovereignty to support governments and public sector customers with just that. In this episode, Michiel van Otegem (Principal Program Manager at Microsoft) is our guest to explain us all about it. Next to that, we of course talk about our tech updates: Mastodon instead of twitter? https://www.bbc.com/news/technology-63534240 In Sweden, a huge particle cannon is taking shape, which makes it possible to look deep into objects and materials (Dutch article) https://www.volkskrant.nl/wetenschap/in-zweden-krijgt-een-enorm-deeltjeskanon-vorm-dat-het-mogelijk-maakt-diep-in-voorwerpen-en-materialen-te-kijken~b132b355/ Elizabeth Holmes has been sentenced to over 11 years in prison https://www.theverge.com/2022/11/18/23465172/elizabeth-holmes-theranos-fraud-conviction-sentencing

In this episode, Pepijn Paap is our guest. Pepijn is Lead SAP/ERP Business Assurance Management Consultant & Test Master at Sogeti. He will tell us everything about the latest developments in SAP. With all the core processes that run on SAP workloads around the world, this is a very interesting topic to know more about! Of course, we start with our tech updates: MR 3D objects API smithonian institute https://3d-api.si.edu/api-docs/ Meta Quest 2 Townscraper https://www.techradar.com/news/one-of-the-best-city-builders-of-last-year-is-coming-to-oculus-quest-2 Law enforcement and the challenge of deepfakes https://www.europol.europa.eu/cms/sites/default/files/documents/Europol_Innovation_Lab_Facing_Reality_Law_Enforcement_And_The_Challenge_Of_Deepfakes.pdf

Sustainability is a very hot topic right now. In this episode, we will talk with Maheshwar about this subject. Maheshwar is Global Quality Engineering & Testing Sales Leader at Sogeti Global. He has been researching sustainability for a couple of years now.  During this episode, the following tech items are discussed: New rules for people in self-driving cars https://www.bbc.com/news/technology-61155735 Boring Company raises additional $675 million as investors chuck money into holes in the ground https://www.theverge.com/2022/4/21/23035162/elon-musk-the-boring-company-675-million-funding-series-c-total-vaulation

The term "MLOps" refers to deploying, managing, and monitoring machine learning models in production. It takes best practices from the field of DevOps and utilizes them for the unique challenges that arise running machine learning systems in production. In this episode, MLOps is the main subject. Tia and Ed are our guests and provide valuable insights about this exciting subject!  During this episode, we discussed the following tech updates: Spotify Car Thing gets 'add to queue' and call answering features https://www.theverge.com/2022/4/7/23015144/spotify-car-thing-add-to-queue-calls-podcasts Researchers in Hong Kong create 'soft robot' made of magnetic slime  https://www.bbc.com/news/av/science-environment-60961184

Collaborate on code, a 3D print stl-file or CAD drawing or on a document. Github is at the root of all of this. Now the worlds largest collaboration tool and full of features you might not have heard of. Together with Jeff Beehler from Github we talk you trough the basis of Github, find out its latest and greatest features but also how inner source can act as a quality gatekeeper for the outside world. More information on Github is found on https://github.com. You can build your own Octocat here https://myoctocat.com. A live editor for your mermaid diagrams as used in Github's Copilot: https://mermaid-js.github.io/mermaid-live-editor/. Collaboration is key and you can learn all about it in this Technology Labs conversation. We always start with a couple of tech updates. Here are the links to what we discussed: Include diagrams in your Markdown files with Mermaid | The GitHub Blog https://github.blog/2022-02-14-include-diagrams-markdown-files-mermaid/ Ford makes it easier to 3D-print your own accessories for the Maverick https://www.theverge.com/2022/2/16/22936380/ford-maverick-cupholders-3d-print-accessories-cad-fits SpaceX lost 40 satelites because of electro-magnetic storm https://www.space.com/spacex-starlink-satellites-lost-geomagnetic-storm

The metaverse is one big digital environment and a windmill can be represented by a nice digital wireframe image. Are they digital twins? Together with Jeroen Kersten we take a look at three different instances of a digital twin (digital assets, digital production and digital organisations). A lot of examples come by ranging from the Digital Twin of Sweden for mining transportation optimisation and windmill farm. Digital Twins are not those wireframe or CAD images you sometimes see with some data plotted on them. They ARE data. An elastic knowledge graph or a infinite mind map as Jeroen puts it shows the full potential of the digital twin. Ask your question in the context of the twin you are looking at and all the interconnections and relations become visible, hopefully solving your puzzle. Now only to integrate GPT3 natural language interpretation to these digital twin environments and we can just talk to our models to get the info we want. It is the Matrix all over the place in this episode of the technology labs podcast. Of course we have a set of technology updates at the start of the podcast and in this case it was about: Meta’s market value plunges by $230 billion in one day https://www.theverge.com/2022/2/3/22916007/facebook-meta-stock-drop-history-invest NS en Arriva gaan in- en uitchecken op basis van gps en smartphoneapp testen https://tweakers.net/nieuws/192850/ns-en-arriva-gaan-in-en-uitchecken-op-basis-van-gps-en-smartphoneapp-testen.html Netherlands parliament made new law: mandatory updates for digital products https://www.nu.nl/tech/6181899/tweede-kamer-stemt-in-met-verplicht-leveren-updates-digitale-producten.html