Earth day consistently serves as a reminder to reflect on the most impactful approaches to sustainability.
Shaping the future – and diversity – of the science, technology, engineering and math (STEM) workforce starts with education today.
With the U.S. Chamber Foundation’s 2020 Corporate Citizenship Conference, Business Solves, right around the corner, we sat down with one of our speakers, Steven C. Preston, president and CEO of Goodwill Industries International, to learn more about his organization’s efforts, how Goodwill® is supporting the needs of U.S. communities during the pandemic, and what advice he has for others.
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.