NVIDIA WEBINAR
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Date: Wednesday, March 4, 2020
Time: 9:00am – 10:00am PST
Duration: 1 Hour
Time: 9:00am – 10:00am PST
Duration: 1 Hour
Machine learning has become a core technology underlying many modern applications, especially utilizing natural language processing. Today, enterprise development teams are looking to leverage predictive analytics and automation to drive business value, free up time for strategic initiatives, and drive innovation.
Join NVIDIA and SFL Scientific on examining applications of neural networks and deep learning to provide a method that can be used to automatically find anomalies with high accuracy. Discuss the development and deployment of these solutions and how to begin to incorporate and advance AI in your organization.
By attending this webinar, you'll be able to:
- Identify business value in the data science and machine learning lifecycle
- Discuss the types of projects experts and firms are working on to support enterprise innovation and solve business challenges
- Describe development of solutions representing a range of use cases using GPU-accelerated deep learning & NLP
- Gain organizational insight into properly approaching machine learning projects and initiatives
Join us after the presentation for a live Q&A session.
WEBINAR REGISTRATION
THANK YOU FOR REGISTERING FOR THE WEBINAR
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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.
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Speakers
Michael Segala
CEO & Co-Founder, SFL ScientificMichael is the CEO and Co-Founder of SFL Scientific, a data science consulting firm that specializes in developing AI solutions. His firm leverages advanced machine learning and analytics to provide insight into numerous industry-spanning problems, from healthcare and pharmaceuticals to insurance and financial institutions. SFL Scientific is a preferred deep learning service provider for NVIDIA. Before founding SFL Scientific, Michael worked as a principal data scientist in several well-known tech companies, including Compete Inc. and Akamai Technologies. He holds a Ph.D. in Particle Physics from Brown University.
John Ashley
General Manager, Global Financial Services Strategy, NVIDIAJohn 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.
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