Vincent Triesschijn
Global Head of ESG and Sustainable Investing
ABN AMRO Bank
Annie Leeson
CEO & Co-Founder
Agricarbon
Joseph Gridley
CEO
Soil Association Exchange
Matteo Vanotti
CEO
xFarm
AI is revolutionizing the way we interact with our environment, even in the most extreme settings.
In this talk, we will explore two real-world case studies of how AI is being deployed to push the boundaries of what is possible. The first case study comes from satellites in orbit, leveraging deep learning to improve sensor readings and Federated Learning to share knowledge in a satellite constellation; the second example, we explore autonomous drones that sail the ocean to open new possibilities for scientific research and commercial uses.
Together, we would use these two examples show how do design and deploy AI applications for unlocking the potential of extreme environments.
Uri Rosenberg
Specialist Technical Manager, AI/ML
Amazon Web Services
Uri Rosenberg is the Specialist Technical Manager of AI & ML services within enterprise support at Amazon Web Services (AWS) EMEA. Uri works to empower enterprise customers on all things ML: from underwater computer vision models that monitor fish to training models on satellite images in space; from optimizing costs to strategic discussions on deep learning and ethics. Uri brings his extensive experience to drive success of customers at all stages of ML adoption.
Before AWS, Uri led the ML projects at AT&T innovation center in Israel, working on deep learning models with extreme security and privacy constraints.
Uri is also an AWS certified Lead Machine learning subject matter expert and holds an MsC in Computer Science from Tel-Aviv Academic College, where his research focused on large scale deep learning models.
Becky Soltanian
VP, Research & Development
Sanborn
Dr. Soltanian’s career in the field of AI has been extensive. With a global reach, her endeavors in AI, engineering, and academia span over 20 years. Her background includes a considerable amount of hands-on experience in a variety of roles in automation, AI, robotics, and computer vision. Most recently, Dr. Soltanian worked as a principal artificial intelligence and machine learning engineer, developing algorithms that improved perception and localization. She has also held leadership and management positions where she successfully directed teams in developing and applying advanced technologies in the use of lidar and other data types.
Dr. Soltanian holds a PhD in Electrical, Electronics and Communications Engineering; a Master of Technology in Digital Signal Processing; and a Bachelor of Science in Electrical Engineering. She’s worked for a variety of different companies such as Byton, Daqri and Velodyne Lidar, and has six (6) patents in the field of Autonomous Driving and automation.