Wonder how to apply Machine Learning(ML) for your AdTech Use cases? This solution guideline outlines a Framework which minimizes the effort to build and deploy ML models. It comes with a end-2end workâŠ
2023
2022
Re:invent 2022 is in the books. 220.145 steps and more importantly uncountable valuable interactions with customers, partners and colleagues. Itâs a global world and we all work in distributed teams. âŠ
The keynote is quite a start into the day. Thrilled to explore and push limits with you. If you around in Vegas, make sure to meet tonight. For the German folks: We are ready for you at the Global LouâŠ
Itâs this time of the year, focus shifts to Las Vegas. Many hours of good work with customers and colleagues turn into a very condensed week of learning, unpacking and exchange. While being a little tâŠ
Re:invent 2022 is approaching fast. A lot of preparation work has been already done. ð ð If you are around in Las Vegas and are interested in how to apply ML in AdTech use cases without starting from zâŠ
Looking forward to share what we have been working on since a while with our customers at our upcoming âMachine Learning for Real-Time Advertising Workshopâ (https://lnkd.in/e3FSWQWv). I am thrilled tâŠ
Time is moving fast. Already 5 years though it feels like I just started. Still Day 1. At Amazon Web Services (AWS) I found an awesome place to work with my customers and develop myself. While interviâŠ
#AWSSummit 2022 in Berlin has been a blast. Felt like someone accidentally hit the pause button two years ago and finally managed to resume. It was awesome to meet people again outside of the countlesâŠ
Berlin here I come! Looking forward to meet you next week at the AWS Summit in Berlin. Taking a little detour to Innsbruck first to enjoy some fine trails at the Innsbruck Alpin Trailrun Festival and âŠ
Contextual targeting is gaining relevance in a post-3rd party cookie area as a means for publishers to monetise content and for advertisers to reach their audiences. The progress in ML and the availabâŠ