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Leo
Barella
Chief Technology Officer
Takeda
Leo joined Takeda Pharmaceuticals in September 2018 as the Chief Technology Officer (CTO). His key areas of focus include establishing an Enterprise Data Program as a foundation for the development of strategic Digital Platforms to connect Takeda to the global healthcare digital fabric and supply services to the patients that Takeda serves in real time. Prior to joining Takeda, Leo served as CTO, Chief Enterprise Architect, and Head of Data Enablement at AstraZeneca, where he led a global team to develop a Data and Analytics Strategy and drive transformation initiatives across the organization He has specialized in technology and transformation throughout his career with AstraZeneca, Baxter, Blue Cross Blue Shield, and Abbott Laboratories. Leo has held a teaching role at multiple universities and has spoken internationally on topics of Artificial Intelligence, Big Data, Digital Innovation, healthcare and enterprise architecture. Leo received an honors level
17 October 2024 10:35 - 11:00
Learning from failure: How you and AI will revolutionize the healthcare industry
Failure is often seen as something to be avoided, feared, or hidden. However, some of the most successful and innovative people and organizations in history have embraced failure as a valuable learning opportunity and a catalyst for change. In this forum, we will explore how adopting a principle of failing fast can help humanity advance faster in science, technology, business, and social issues. We will also compare two different approaches to space exploration: NASA's Artemis program, which is based on avoiding failure, and SpaceX's Starship program, which is based on failing fast. Finally, we will examine how AI can transform healthcare by shifting from a system that is traditionally built to avoid failure to adopting a more digital focused approach of failing fast and leveraging the data generated from wearable health sensors, which will be able to predict deteriorating health conditions on an individual basis and recommend compensating controls, which will ultimately deliver a better quality of life.