About this Webinar
As a society, we have turned to data science, machine learning, and artificial intelligence to help us solve diverse problems, build better businesses, and contend with the effects of a global pandemic—but these solutions are not flawless. As data science tools and approaches become more popular and we solve increasingly complicated tasks using automation and algorithms, we face new and unique technological challenges surrounding security, talent, ethics, and more.
Key Topics Include
- Demographic information about the data science, ML, and AI community
- How that community works
- Open-source security
- The talent shortage
- Ethics and bias
Watch Now
Meet the Panel
Peter Wang is the CEO and co-founder of Anaconda, Inc. Prior to founding Anaconda (formerly Continuum Analytics), Peter spent 15 years in software design and development across a broad range of areas, including 3D graphics, geophysics, large data simulation and visualization, financial risk modeling, and medical imaging. As a creator of the PyData community and conferences, he devotes time and energy to growing the Python data science community and advocating for increasing data literacy around the world. Peter holds a BA in Physics from Cornell University.
Angela Bassa is a data science and analytics expert and builder of high-performing teams. She is a renowned keynote speaker and author, with credits including the Wall Street Journal and Harvard Business Review. An MIT-trained and award-winning mathematician, Angela has extensive experience across industries—spanning finance, life sciences, agriculture, energy, digital marketing, software, and robotics.