Suneeta is passionate about solving real-world problems with engineering, data, science, and machine learning. She's a PhD in applied science with a computer science and engineering background. She has extensive distributed, scalable computing and machine learning experience from IBM Software Labs, Expedita, USyd, Nearmap and more recently harrison.ai. She currently leads the AI Engineering division of harrison.ai, a clinician-led artificial intelligence medical technology company tackling some of the biggest issues in healthcare causing inequitable diagnosis today. She believes in lifelong learning and is passionate about knowledge sharing. She is also an author for O'Reilly and writes technical blogs in her spare time.
Our "Future of Machine Learning" panel will explore cutting-edge developments and emerging trends that are shaping the field. Leading experts will discuss advancements in areas such as deep learning architectures, reinforcement learning, and federated learning. The panel will delve into practical applications of ML. Join us for a fascinating look into the future of machine learning and its potential to revolutionize industries, scientific research, and our daily lives.
Starts: 1:40 PM
Ends: 2:30 PM