Ahmad Alkilani is a Data Architect specializing in the implementation of high-performance distributed systems with a focus on data science and engineering. Ahmad enjoys over 16 years of broad IT experience. Ahmad has been with DreamWorks Animation since 2014 with a focus on building a center of excellence for analytics, data engineering and data science. He is also an author with Pluralsight where he helps democratise access to learning resources. Prior to DreamWorks, he helped develop Realtor.com's data platform and recommendation engine and consulted for M&E studios in his prior tenure with Capgemini. Ahmad has a B.S. in Computer Engineering from the Jordan University of Science & Technology.

Ashley is an engaged and innovative leader who has always had a deep interest in advancing the public good. Recently leaving her long-standing career in the public service where she was last Director of Data and Digital for the Government of Canada, she has now taken on the role of Executive Director of AI Global, a non-profit dedicated to creating practical tools to ensure the responsible use of AI. Throughout her career she has worked at the intersection of innovative technology and data, and its impact on providing better information and services.

Ben is responsible for corporate development, global strategic partnership, and technology ecosystem efforts. A member of the CEO staff, Ben drives and evangelizes ForgeRock's innovation agenda and product direction.

Prior to ForgeRock, Ben led Technology Evangelism for VMware's End-User Computing business unit, where he was engaged in the product roadmaps and acquisitions leading to the creation of VMware Workspace One. Before that, he worked at Novell where he was instrumental in the creation and growth of their Identity Management platform. Ben is a holder of the CISSP (Certified Information Systems Security Professional) certification.

John Langford studied Physics and Computer Science at the California Institute of Technology, earning a double bachelor's degree in 1997, and received his Ph.D. from Carnegie Mellon University in 2002. Since then, he has worked at Yahoo!, Toyota Technological Institute, and IBM's Watson Research Center. He is also the primary author of the popular Machine Learning weblog, hunch.net and the principle developer of Vowpal Wabbit. Previous research projects include Isomap, Captcha, Learning Reductions, Cover Trees, and Contextual Bandit learning.

Lee Barrett is a managing director with Accenture and based in New York City. He is the firm’s Northeast Applied Intelligence Practice leader and is a member of the Northeast’s Products industry leadership team. Lee has been with Accenture for 18 years where he has focused on helping clients solve complex business problems and use cases. This includes determining the right data sets, technology, tools, processes and talent to generate insights and recommendations to drive measurable value. Lee has led several end-to-end digital and analytics transformations with an emphasis on delivering solutions that meet the program objectives and understanding the organization’s culture to drive adoption. Lee also started the Accenture Insights Platform (AIP) and holds a patent on the Analytic Application framework.

Maher’s lifelong passions are science and education. He has a PhD degree in Physics from the University of Toronto and completed a postdoctoral fellowship at the Swedish National Synchrotron investigating laser-matter interactions. He held a faculty position at the Department of Physics at Drexel University before coming to Comcast. Maher is best known at Comcast for his work on Octave—the Machine Learning pipeline that adds capacity to the network by optimizing DOCSIS profiles. Maher has an addiction for taking MOOCs on Coursera and other platforms and is an avid Kaggle competitor with the rank of Competitions Master. His best Kaggle finish is winning third place in the Crowdflower competition (NLP, Text Mining).

Data-driven professional with over 5 years experience in machine learning and data science. Proven track record applying advanced analytics techniques and research skills to deliver insightful, actionable results. Able to take a deep dive into messy data, solve complex problems, and produce a coherent narrative. Valued for critical thinking, commitment to excellence, and ability to get up to speed quickly on new techniques. Uniquely suited to contribute to practical innovation at the intersection of science, business, and technology.

Sravani Dandu is a Data Scientist for Pyramid Consulting Group, Inc., a recognized leader in technology solutions. Sravani has had several consulting engagements where she has applied her exceptional artificial intelligence and machine learning skills adding value to strategic projects in Data Science at Comcast Labs, and Marketing Analytics at Sony PlayStation, and Analysis at Verizon. Her innovative thinking stems from her graduate work on “Probabilistic Record Linkage to understand recidivism” at the University of Connecticut School of Business where she attained a Master's Degree in Business Analytics.

When not creating innovative technology solutions, Sravani enjoys learning about Indian classical music.

Data scientist with a strong track record of turning data into actionable insights for improving network performance, customer quality of experience, and employee satisfaction. Experienced in strategy, marketing and network operations. Dedicated to professional development. Passionate about mentoring and collaboration across disciplines.