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How can business help solve society’s biggest challenges? Welcome to Take on Tomorrow, the award-winning podcast from PwC that examines the biggest problems facing society and the role business can—and should—play in solving them. Hosts Femi Oke and Lizzie O’Leary talk to industry innovators, tech trailblazers and visionary leaders from around the globe about timely topics: from the climate transition to AI and data; and from the future of food to how we build, move and power the world.
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In this episode, we spoke with Lisen Kaci, the founder behind Discrepancy AI. Lisen talks about his journey from working as an AI engineer in document processing to founding his startup based in Toronto. He identifies key industry limitations with legacy OCR technologies and explains how Discrepancy AI is leveraging AI tool-chaining to convert any document into actionable structured data.
Their innovative approach focuses on reducing manual review costs by over 80%. Lisen discusses various use cases, including income verification for rental and mortgage screening. He emphasizes their unique, no-code implementation that integrates seamlessly with existing systems. The conversation also touches on the future of AI, industry challenges, fundraising strategies, and Discrepancy AI’s next product launch that aims to automate complex report generation.
42 episodes
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