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.
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.
We’ll hear Laila Kakar at the Data 2030 Summit in her session on How to measure the unmeasurable – translating SMART data into insights, where she’ll tell you more about how to start making fact-based decisions and how machine learning can support you in your decisions. Laila shared some success points on how data and facts can really make a difference in your business.
When your business is serving customers in 6000 cities, in 64 countries and millions of riders, you have to make sure you live and breath customer satisfaction. Uber, the global tech leader in ride-sharing, can teach us a thing or two with how they manage to keep all their riders and drivers happy.
Machine learning has a proven track record of advancing our lives, whether it is automating tasks and processes, gaining valuable insights out of massive quantities of data and enabling us to take the most effective data-driven actions. But machine learning and IoT also play a crucial role in saving lives from train accidents.
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