The challenges and opportunities of augmented intelligence at scale (sponsored by Jumio)
Deep learning can be applied in innovative ways when you have large datasets. Jumio has processed and verified almost 200 million identities to date, allowing the use of this massive dataset to recognize important patterns—patterns often indistinguishable by the human eye. Jumio leverages deep learning in three important ways: data extraction, fraud detection, and risk scoring.
Labhesh Patel walks you through how augmented intelligence leverages the best of human and machine, what use cases are best suited for augmented intelligence, and a real-life implementation of an augmented intelligence workflow for fraud prevention.
This session is sponsored by Jumio.
What you'll learn
- Discover which augmented intelligence use cases are best suited for people, which are best suited for augmented intelligence, and how to use augmented intelligence for fraud prevention
Labhesh Patel is CTO and chief scientist at Jumio, where he’s responsible for driving the company’s innovation in the identity verification space with deep learning, computer vision, and augmented intelligence—an alternative conceptualization of artificial intelligence that focuses on AI’s assisted role to enhance human intelligence. An accomplished leader with over 15 years of experience in corporate and entrepreneurial settings, Labhesh has proven experience leading engineering teams, launching new online services (from concept creation to customer delivery), and developing ground-breaking technologies at companies including Cisco, Abzooba, xpresso.ai, Spotsetter, and CellKnight. He has 175 patents filed with another 134 patents issued under his name. Labhesh holds an MS in electrical engineering (MSEE) from Stanford University and a BT from the Indian Institute of Technology in Kanpur.
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