Lisa Cohen

Director of Data Science & Engineering, Bard & Assistant Google

Lisa Cohen is an experienced Data Science executive, with 2 decades in tech. She has a passion for helping companies leverage data to build products that customers love. She has a strong track record of leading diverse teams, fostering team culture, and delivering impactful results. Lisa is currently the Director of Data Science & Engineering for Google Bard, Assistant and Search Platform. In this role, Lisa and her team are responsible for metric development, product analysis, model evaluation, and experimentation across these products. They work closely with Product, Engineering and User Research to develop data-driven strategies and roadmaps. Prior to Google, Lisa was Head of Data Science for Twitter. She led an organization of 200 data scientists, data analysts and data engineers, focused on driving the strategy and direction of the Twitter product. This included Trust & Safety, Growth, Personalization, Search, Timeline Ranking, 0-to-1 Innovations, and Company-wide metrics. Her team used a variety of DS techniques across machine learning, experimentation, causal measurement and analysis, and partnered closely with Engineering, Product, Design, Research, Legal and Finance. Lisa also represented Data Science on the company leadership team “Bluebird Staff”. Before Twitter, Lisa led a Data Science organization focused on the Microsoft Cloud. Her team was responsible for leading OKRs, informing data-driven decisions, and developing data science models to help customers be successful on Azure. This included customer lifetime value, churn prediction, propensity models, sentiment analysis and more. Lisa and her org partnered with many Azure product and program teams, including Marketing, Finance, Support, Startups, Students, Partners, Marketplace, Fraud, Payments, Capacity and Sales. Lisa worked at Microsoft for 17yrs, and also helped develop multiple versions of Visual Studio. Her first role at MSFT was in C# & VB IDE product management, where she enjoyed creating coding experiences for millions of developers and seeing the impact of the apps they would build. Lisa holds Bachelor and Masters degrees from Harvard in Applied Mathematics. You can follow Lisa’s talks on LinkedIn and read her writing on Medium. She is a board member of the UW Masters in Data Science program, where she helps shape the curriculum for students. Lisa is originally from Los Angeles, and is currently based in Seattle. Outside of work, she enjoys spending time with family and friends. Lisa is an avid softball player. She loves spending time outdoors, and you can often find her hiking, camping, swimming, or skiing in the Pacific Northwest. Lisa is also a strong believer in the power of community, and builds communities in her personal & professional life, for moms, alumni, developers, data scientists, managers, mentorships and book clubs.

Generative AI Week 2023 Day One: Tuesday,17 October 2023

9:25 AM Plenary Panel: Redefining Adoption: How Generative AI will Transform Enterprises in the Future

Artificial intelligence is poised to revolutionize the workforce, and generative AI is at the forefront of this transformation. With the ability to create novel content, engineer and design, revolutionize operational productivity and digitally replicate a patient, generative AI has already irreversibly altered the way we think about work. Challenges arise when we strategize how we get to where we want to go & this panel will explore the ways in which we should be thinking about people, ROI and the long-term implementation for our workforce and businesses.

·       The context and validation of the AI implementation – what’s the real economic value, taking both the low hanging fruit and large-scale rollout, how can we separate hype from reality?

·       What the AI adoption means for your workforce, importance on educating at all ends, and working together to ensure safe and successful transformation

·       The ethical implications of using generative AI in the workforce, including issues of bias and the displacement of staff, and how we can address these concerns

4:00 PM Plenary Panel Discussion: Women in AI - Building a Forward-Thinking & Inclusive Culture in your Business

Women are under-represented at all levels in the technology sector. Particularly within leadership positions, where they represent only 24% of

professionals. In the field of artificial intelligence, only 22% of professionals are women. Just 18% of authors at leading AI conferences are women. Unveiling the underrepresentation of women in the technology sector, this panel discussion addresses critical discussion points and strategies to increase visibility and amplify the voices of women in the field of AI.


• Enhancing representation: Implementing strategies to increase the visibility and inclusion of women in AI.

• Amplifying voices: Providing platforms for underrepresented groups to showcase their expertise and perspectives.

• Empowering leadership: Cultivating an inclusive culture by empowering women in leadership positions within the AI industry.

Check out the incredible speaker line-up to see who will be joining Lisa.

Download The Latest Agenda