Enabling On-device AI for Everyone Everyday
Megha Daga, Qualcomm Technologies, Inc., Erin Gustafson, Duolingo, Zahra Koochak, Qualcomm Technologies, Inc., and Elizabeth Bramson-Boudreau, MIT Technology Review
Content sponsored by Qualcomm Technologies.
Intelligence continues to move to end devices, as mobile becomes the pervasive AI platform. Building on the smartphone foundation and the scale of mobile, AI is expanding to power other end devices, machines, vehicles, and things. This session captures the perspectives of 3 women leading the research in the future of AI toward the new on-device applications poised to transform industries from smartphones to automotive to the IoT and data centers.
Megha Daga, Director, Product Management, Qualcomm Technologies, Inc.
Megha Daga works at Qualcomm Technologies, Inc. as a Director of Product Management for the AI enablement across IoT group. Megha has spent 15 years in the embedded industry as a developer, researcher, technical marketer, and product manager. Her focus and passion have been to research industry trends and requirements in computer vision and AI to create leading edge AI solutions. Megha holds a MS degree in ECE from Purdue University.
Erin Gustafson, Senior Data Scientist, Duolingo
Erin Gustafson is a Lead Data Scientist at Duolingo, where she works on product-focused exploratory modeling, forecasting, and experimentation. Her work currently focuses on learning assessment, where she applies her statistics and ML skills to improving user/product understanding and making data-informed recommendations on future product development. Before joining Duolingo, Erin completed her PhD in linguistics and conducted research on bilingualism.
Zahra Koochak, Engineer, Qualcomm Technologies, Inc.
Zahra Koochak is a staff machine learning engineer in Qualcomm AI research. She works closely with the Qualcomm AIMET team and conducts research to make machine learning models run efficiently on edge devices.
Before joining Qualcomm, Zahra received her PhD in Electrical Engineering from Stanford University. During her studies at Stanford, she focused on NLP and recommendation systems and worked with Andrew Ng teaching fundamentals of deep learning models. Zahra is also an alumna of the Stanford Graduate School of Business, where she collaborated with different teams to commercialize new products at existing organizations and for new ventures.
Elizabeth Bramson-Boudreau, CEO and Publisher, MIT Technology Review
Elizabeth Bramson-Boudreau is the CEO and publisher of MIT Technology Review, an MIT-owned independent media company that works to explain the impact of new technologies on business and society through analysis, features, interviews, and events. Her charge is leading the growth, expansion, and modernization of MIT Technology Review's media platforms and products, including US and international websites, newsletters, events, and an award-winning print magazine. With a 20-year background in building and running teams at world-leading media companies, Elizabeth maintains a keen focus on new ways to commercialize media content to appeal to discerning, demanding consumers as well as B2B audiences. Prior to joining MIT Technology Review, Elizabeth was the global managing director of the Economist Corporate Network (whose parent company publishes The Economist magazine); she led editorial content creation, sales, marketing, and event operations. Elizabeth holds an executive MBA from the London Business School, an MSc from the London School of Economics, and a bachelor’s degree from Swarthmore College.