Digital Empowers’ “The Power of Data and Predictive Analytics in Pandemics” webinar was the first event of a three-part virtual series on COVID-19 response designed to bring the innovation and social impact communities together, and p
The COVID-19 pandemic has ushered in a new era of urgent innovation. While the utility and application of technology is continuously evolving, its goals remain constant: to solve real-world problems, fulfill human needs, and present new opportunity for innovation and growth.
Nalini Polavarapu has always been interested in taking an interdisciplinary approach to solving challenges on a global scale. She currently works as the Head of Data Sciences – Customer Centricity at Bayer. With a strong foundational background in STEM coursework, she developed a lifelong passion for AI and agriculture, that she has been able to combine when she began her work as Bayer’s first data scientist over 10 years ago. Since then, the team has vastly expanded and the overall data science community within Bayer Crop Science alone employs 700 + people. We sat down with her learn more about her experience as a woman in the tech industry and advice she would give to women looking to follow a similar path. — Alexa Miller, Director, Digital Empowers National Campaign
Over ten years ago, just a couple of months into starting my first job, I was asked by leadership to develop and deliver a presentation on artificial intelligence (AI). During that time, AI was pretty much unknown in our industry except among a few visionary leaders.
The role of business in society is at the heart of what we do at the U.S. Chamber of Commerce Foundation.
We do our best work when we examine complex issues – and that’s what we’ve been doing with Environmental, Social and Governance reporting.
As the world’s population continues to grow at a rapid pace, so must our ability to feed it.
Mobile and digital technology plays a critical role in empowering disadvantaged groups and improving socioeconomic and health outcomes for people in developing countries. Yet, women have fallen behind their male counterparts in technological adoption.
The growth of the information economy and the use of data should encourage regulators to develop privacy rules based on empirical evidence, rather than anecdotes and worst-case scenarios.