Explore the Possibilities of AI & ML with AWS, NVIDIA and Lyft
Offer
Do you want to leverage the power of AI to solve your business problems? Are you wondering how to push the boundaries of innovation in your industry? We want to help you understand and optimize deep learning, and artificial intelligence applications in the cloud.
As one of the leaders in transportation-as-a-service, Lyft is leveraging the power of AI to solve their business problems. From data collection, model training, and testing in simulation to the deployment of smart, safe, self-driving cars, Lyft will discuss how to tune cloud deployments to scale.
Please join Lyft, NVIDIA and AWS as we review powerful deep learning solutions from training to inference.
Thursday, October 17th
6:30pm – 9:30pm – Doors open at 6:00pm
Drinks and light appetizers will be available.
AWS Loft
525 Market St, 2nd floor, San Francisco, CA 94105
As one of the leaders in transportation-as-a-service, Lyft is leveraging the power of AI to solve their business problems. From data collection, model training, and testing in simulation to the deployment of smart, safe, self-driving cars, Lyft will discuss how to tune cloud deployments to scale.
Please join Lyft, NVIDIA and AWS as we review powerful deep learning solutions from training to inference.
Agenda
- Why Lyft uses NVIDIA GPUs to accelerate their AI & ML workloads on AWS
- How to transform your business with powerful ML applications with NVIDIA on AWS
- How you can accelerate your Machine Learning applications with AWS EC2 P3 instances
- Open Q&A, Networking, Ask the Expert, and Reception
When
Thursday, October 17th
6:30pm – 9:30pm – Doors open at 6:00pm
Drinks and light appetizers will be available.
Where
AWS Loft
525 Market St, 2nd floor, San Francisco, CA 94105
Register now
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Event Details
Date: Thursday, October 17th, 2019
Time: 6:30 pm - 9:30 pm
Location: AWS Loft, 525 Market St, 2nd floor, San Francisco, CA 94105
Content
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Content
DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Content
Content goes here
Speakers
Kenneth Cukier
Senior Editor, Digital Products and Data Analytics, The Economist
New York Times bestselling co-author, Big Data
Kenneth Cukier is Senior Editor, Digital Products and Data Analytics at The Economist where he oversees data analytics and manages their new digital product development. Prior to this he was Data Editor following a decade at the paper covering business and technology. Kenn is host of The Economist’s weekly tech podcast, Babbage.
Kenneth’s talks are fast-paced and witty, fact-filled and insightful. And they are packed with real-world examples of how pioneering companies are applying new technologies to reap substantial business advantage. He reveals trends, explains how technologies work, awhat they mean for business. He gives leaders new ideas and inspires teams to do great work. He demystifies what AI is, how it works, and why it’s so important, in a funny, fast-paced talk that’s riddled with memorable stories and real-world examples, for business leaders who want to know what’s next in society and the economy.
Senior Editor, Digital Products and Data Analytics, The Economist
New York Times bestselling co-author, Big Data
Kenneth Cukier is Senior Editor, Digital Products and Data Analytics at The Economist where he oversees data analytics and manages their new digital product development. Prior to this he was Data Editor following a decade at the paper covering business and technology. Kenn is host of The Economist’s weekly tech podcast, Babbage.
Kenneth’s talks are fast-paced and witty, fact-filled and insightful. And they are packed with real-world examples of how pioneering companies are applying new technologies to reap substantial business advantage. He reveals trends, explains how technologies work, awhat they mean for business. He gives leaders new ideas and inspires teams to do great work. He demystifies what AI is, how it works, and why it’s so important, in a funny, fast-paced talk that’s riddled with memorable stories and real-world examples, for business leaders who want to know what’s next in society and the economy.
Nima Negahban
Co-founder and CTO, Kinetica
Talk Title: "End to End AI Lifecycle on GPUs: Accelerating Data Science with RAPIDS for Model-Driven Risk Management"
Nima is the Chief Technology Officer, original developer and software architect of the Kinetica platform. Leveraging his unique insight into data processing, he established the core vision and goal of the Kinetica platform. Nima leads Kinetica’s technical strategy and roadmap development while also managing the engineering team. He has developed innovative big data systems across a wide spectrum of market sectors, ranging from biotechnology to high-speed trading systems using GPUs, as Lead Architect and Engineer with The Real Deal, Digital Sports, Equipoise Imaging, and Synergetic Data Systems. Early in his career, Nima was a Senior Consultant with Booz Allen Hamilton. Nima holds a B.S. in Computer Science from the University of Maryland.
Co-founder and CTO, Kinetica
Talk Title: "End to End AI Lifecycle on GPUs: Accelerating Data Science with RAPIDS for Model-Driven Risk Management"
Nima is the Chief Technology Officer, original developer and software architect of the Kinetica platform. Leveraging his unique insight into data processing, he established the core vision and goal of the Kinetica platform. Nima leads Kinetica’s technical strategy and roadmap development while also managing the engineering team. He has developed innovative big data systems across a wide spectrum of market sectors, ranging from biotechnology to high-speed trading systems using GPUs, as Lead Architect and Engineer with The Real Deal, Digital Sports, Equipoise Imaging, and Synergetic Data Systems. Early in his career, Nima was a Senior Consultant with Booz Allen Hamilton. Nima holds a B.S. in Computer Science from the University of Maryland.
Dr. Dimitrios Emmanoulopoulos
Lead Data Scientist, Barclays Bank
Talk Title: "Financial Machine Learning applications that exploit GPU technologies: Do more with less!"
Dimitrios is the lead data scientist in Barclays’ Applied Machine Learning team. For the last two and a half years he has been productionizing machine learning solutions for a variety of different business use cases: card fraud detection, recommendation engines, credit card delinquency predictions, customer sentiment analysis, compliance and Investment Bank Markets. Moreover, Dimitrios is building cost effective GPU hardware solutions for machine learning projects, that deal with Peta bytes of data, across the entire bank, he is developing the next generation state-of-the-art AI models (using Deep Neural Networks) for card fraud and bond pricing prediction and he is also closely involved in the Cloud based technologies that will be implemented in the near future by Barclays. Finally, he is actively benchmarking 3rd party hardware and software solutions around AI and has been representing Barclays in various discussion panels and forums. Dimitrios completed a Ph.D. on the development of predictive algorithms for black hole astrophysics and quantum gravity detection.
Lead Data Scientist, Barclays Bank
Talk Title: "Financial Machine Learning applications that exploit GPU technologies: Do more with less!"
Dimitrios is the lead data scientist in Barclays’ Applied Machine Learning team. For the last two and a half years he has been productionizing machine learning solutions for a variety of different business use cases: card fraud detection, recommendation engines, credit card delinquency predictions, customer sentiment analysis, compliance and Investment Bank Markets. Moreover, Dimitrios is building cost effective GPU hardware solutions for machine learning projects, that deal with Peta bytes of data, across the entire bank, he is developing the next generation state-of-the-art AI models (using Deep Neural Networks) for card fraud and bond pricing prediction and he is also closely involved in the Cloud based technologies that will be implemented in the near future by Barclays. Finally, he is actively benchmarking 3rd party hardware and software solutions around AI and has been representing Barclays in various discussion panels and forums. Dimitrios completed a Ph.D. on the development of predictive algorithms for black hole astrophysics and quantum gravity detection.
John Ashley
Director, Global Financial Services Strategy, NVIDIA
Talk title: "Alpha, Risk, and Customer Satisfaction: Advances in AI for Natural Language"
John Ashley currently leads the Global Financial Services Industry Strategy team at NVIDIA. His team focuses on global trends and directions in accelerated compute and AI for the entire sector – from hedge funds, fintech, banking, and insurance. NVIDIA supports customers and partners in their adoption of accelerated computing and AI/ML techniques to improve time to insight, enable expanded analytics around risk and fraud, and dive deep into customer data to address key business problems. He also started and led the Professional Services Deep Learning Practice for NVIDIA and the NVIDIA Deep Learning Professional Services Partner program; managed the relationship with IBM’s Software and Cognitive groups, was a Senior Solutions Architect covering Financial Services based in New York and then London, and supported NVIDIA’s work with the Square Kilometer Array radio astronomy programs. He holds a doctorate in Computational Sciences and Informatics, and both BS and MS degrees in Electrical Engineering. His past work experience can best be described as varied – he has been a data scientist , project manager, systems architect, DBA, and developer – working in vendor, consulting, and end user firms in utilities, government, and finance. He holds a US Patent in predictive analytics.
Director, Global Financial Services Strategy, NVIDIA
Talk title: "Alpha, Risk, and Customer Satisfaction: Advances in AI for Natural Language"
John Ashley currently leads the Global Financial Services Industry Strategy team at NVIDIA. His team focuses on global trends and directions in accelerated compute and AI for the entire sector – from hedge funds, fintech, banking, and insurance. NVIDIA supports customers and partners in their adoption of accelerated computing and AI/ML techniques to improve time to insight, enable expanded analytics around risk and fraud, and dive deep into customer data to address key business problems. He also started and led the Professional Services Deep Learning Practice for NVIDIA and the NVIDIA Deep Learning Professional Services Partner program; managed the relationship with IBM’s Software and Cognitive groups, was a Senior Solutions Architect covering Financial Services based in New York and then London, and supported NVIDIA’s work with the Square Kilometer Array radio astronomy programs. He holds a doctorate in Computational Sciences and Informatics, and both BS and MS degrees in Electrical Engineering. His past work experience can best be described as varied – he has been a data scientist , project manager, systems architect, DBA, and developer – working in vendor, consulting, and end user firms in utilities, government, and finance. He holds a US Patent in predictive analytics.
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