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The world is changing before our eyes and technology is advancing like never before. Join GA and Hypergiant for a special thought leadership event that brings together business leaders, innovators and product managers for a discussion on today’s most important technology shift towards automated machine learning and how this is changing the way organizations and their data scientists operate. In this discussion, we’ll talk about practical ways to incorporate AI to deliver an explosive impact on any company’s bottom line.
Organizations want to keep pace with the shift towards machine learning and the speed of business, but are finding it more and more difficult as everyone is racing to get out ahead of the competition. Applying machine learning to data is hard and data scientists take many months to deploy machine learning models, which drain investment dollars and show very little in the way of tangible results.
Automated machine learning is the new way for any AI-driven enterprise. By abstracting the complexity associated with programming and statistical skills, automated machine learning provides the business with new ways to boost productivity, improve accuracy, optimize decisions, and ultimately overcome the critical shortage of elite data scientists.
Who Should Attend? The event is beneficial for anyone who values predictive analytics and wants to do something big with AI in 2020. Learn how automated machine learning can help you impact your business in an explosive way!
Chief Data Scientist,
David Kil is currently Chief Data Scientist at Civitas Learning, building a family of SaaS connected analytics applications in the Data-Insight-Action-Learning (DIAL) framework to help students succeed. He is also serving as a scientific advisor to a precision health startup. Prior to CivitasLearning, he was Chief Science Officer at Humana and SKT Americas, building both enterprise and consumer health applications leveraging big data, social network, and networked sensors. He has also been building consumer health mobile apps for fun. His research interests encompass all aspects of data processing, machine learning, complex event processing, nudging, multi-level impact analysis, and real-world evidence analytics. He has published over 40 papers in various journals and conferences, as well as a book entitled “Pattern Recognition and Prediction with Applications to Signal Characterization” by Springer-Verlag. He holds 15 US and international patents and is active as a reviewer for journals and grant agencies.
VP of Culture & Hype,
Shawn is VP of Culture & Hype at Hypergiant Industries, the industry leader in creating intelligent solutions for global enterprises and governments. At Hypergiant, he runs the strategic vision of the brand and built a framework around the company culture that reflects diversity of perspective, greater inclusiveness, and a richly and pervasively collaborative environment.
With 20+ years of experience as an accomplished business development and brand partnerships executive, Shawn has a successful history of growing new revenue streams, building communities to reach new audiences, and managing new opportunities until the deal is closed.
He is particularly passionate about creating business value through the lens of technology, entertainment, and media. In 2017, he executive produced the #1 health documentary acquired by Netflix: Feel Rich - Health is the New Wealth, produced the largest fitness concert in Super Bowl history and built the largest multicultural health influencer network named, “The Rich Cartel.”
Shawn’s former roles include business development executive at Chaotic Moon, business development executive at QD3 Entertainment: Quincy Jones III’s production company, and agent at William Morris Endeavor.
Shawn graduated from the Moody College of Communication at the University of Texas Austin.
Yessel Hinojosa works as a User Experience Designer at CognitiveScale, an Austin-based AI startup. She is the lead designer for Cortex Certifai, which has been named one of the SXSW 2020 Innovation Award Finalists in the "AI & Machine Learning" category. Certifai takes the guesswork out of understanding risk and vulnerability ML models by probing into the model and testing edge cases. Yessel is passionate about problem-solving through seamless design. A former graphic designer, Yessel has an MFA in Web Design + New Media, plus several years' experience designing for other start-ups based in India, Mexico and the United States. Her designs have helped users buy and sell crypto currencies, sign digital documents, find fitness and wellness advice, rent and navigate office spaces, take machine learning models to production and evaluate them to identify and reduce bias.
Artificial Intelligence & Machine Learning Solution Architect,
Amazon Web Services
Chris has been building things for almost 30 years. In the 90’s it was Industrial Robots, in the 00’s it was software and the 10’s it was Machine Learning enabled solutions. He now focuses primarily on emerging, recombinant technologies and how they can be leveraged to create innovative, efficient solutions to current challenges. This includes applied Reinforcement Learning, Spatial Computing and the convergence of Robotics and consumer technology. A Senior AI/ML Specialist at AWS since 2016. This position has given him the rare opportunity to build and audit hundreds of global, production ML use cases and the ability to identify macro trends in Machine Learning across industry verticals, on a planetary scale.
Hypergiant Industries is the AI industrial complex for leading global enterprises and governments. We help major institutions innovate with breakthrough machine intelligence-driven technology. The solutions, products, and companies we create support our customers on their mission to speed beyond norms and realize an exploded potential of the future we were promised through AI.
Austin Inno combines entertaining and opinionated editorial coverage with one-of-a-kind events and a community publishing platform to reinvent the model of Austin tech news.
We understand that, sometimes, plans change. If you can no longer make it to a class or workshop, please email us at least 7 days before the scheduled event date. No refunds will be given to cancellations made within a week of the class or workshop.
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