- Infosys applied AI
There is a lot happening in the world of science - whether it’s the recent breakthrough in understanding protein structures, the race to quantum computing, or the pandemic tracing and related developments - the commonality running through it all is the application of AI that is helping solve real world problems.
Accidental experiments by universities using data on climate change, migration patterns and COVID tracking by every neighborhood are giving a view into ‘what if’ scenarios such as - questioning if we moving towards renewable energies like earlier days, or the sensitivity and impact of government policies and regulatory decisions for the hyper-local. The success of these explain how well have community organizations been able to co-relate big data with AI algorithms, and applied it in the real world for the larger good.
There is much for enterprises to learn from these and be able to apply AI purposefully. And this is no rocket science. All it needs is organizational value alignment, design thinking to constantly iterate, and commitment.
A lot of this has to do with enterprises being knowledgeable about the data they possess, making the right decisions, leaving no scope for bias, and investing in developing the right talent.
Plug into this very insightful conversation between Mohit Joshi, President, Infosys, and Illah Reza Nourbakhsh, K&L Gates Professor of Ethics and Computational Technologies, The Robotics Institute, Carnegie Mellon University, as they seamlessly connect the dots between science, AI and the role of enterprises.