In order to appreciate the great success of NASA and humanity, we are again exploring the topic, but with a more in-depth perspective. As an AI Research Scientist at NASA Jet Propulsion Laboratory, Shreyansh introduced us to the evolution of autonomous robots for space exploration with AI and ML, challenges and solutions to training deep learning models in the Martian environment, and lessons and future AI-powered exploration.
As more business decisions are influenced by AI, it opens numerous questions and requirements for greater oversight, transparency and ethics in how those decisions are made — leading to rising demand for explainable AI or XAI.
To provide a practical solution to build up people analytics step by step to have a business impact, Oliver Kasperguided us through the process of setting up the functions and the dimensions that make up their people analytics strategy at Swarovski, at the Nordic People Analytics Summit 2020.
This year promises to be really fruitful for AI if the latest image-generating model released by OpenAI – DALL·E is any indication. OpenAI released DALL·E only 5 days into the New Year.
A comprehensive data strategy is essential for any organisation in the digital era.
Any company that wants to do analytics, artificial intelligence, machine learning or digitalisation, first must have their data foundations in place. This a straightforward premise, however too many businesses get stuck on their data platform journey.
A Data Mesh incarnation is a data platform and lake that has been split up into multiple ponds and multiple processing environments, controlled and operated by different teams.
Kaveh Djavaherian Head of Global Cloud & Hosting at Electrolux shares learnings from executing cloud strategies and infrastructure management.
Data Mesh is one of the hottest topics in data analytics at the moment. It has found its way into the trends that are predicted to disrupt and dominate the data market in 2021.
Eager to learn more about the developments in data management that we can expect in the new year and beyond, we’ve invited some of the Data 2030 Summit speakers to share how they see specific data management components developing in the near future. Here is a roundup of experts’ data management predictions for 2021 and beyond.
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