• AI in Action: TRaiCE’s Approach to Proactive Risk Management

  • Apr 24 2024
  • Length: 1 hr and 6 mins
  • Podcast
AI in Action: TRaiCE’s Approach to Proactive Risk Management  By  cover art

AI in Action: TRaiCE’s Approach to Proactive Risk Management

  • Summary

  • In this episode of the Beyond the Build podcast, Host Kevin Carney discusses with Sony Gabriel and Joe Kurian, cofounders of TRaiCE, about their AI application in risk management. The discussion explores TRaiCE’s innovative approach to leveraging unstructured data from diverse sources like news, social media, and customer reviews to predict risks in real-time, offering a unique additive tool for risk managers. Key insights from the development of TRaiCE, its integration within the banking industry, and its future potential in financial risk assessment are highlighted. Key Takeaways: TRaiCE utilizes AI to transform unstructured data into a structured risk assessment tool, enhancing the proactive management of risks. The platform integrates seamlessly with existing banking processes, offering real-time updates and predictive insights without replacing current systems. TRaiCE is gaining traction globally, with applications in multiple financial sectors and plans for further expansion and product development. Learn more about our guests: Sony Gabriel brings over 25 years of dynamic experience in the IT industry, spanning diverse roles such as Pre-sales, Business Development, Marketing, Consulting, and Program Management. His expertise lies in the Telecom and Financial Services domains. Sony's journey includes contributions to product startups like Metratech Corp. (now part of Ericsson) and giants like IBM Global Services. He holds a Bachelor’s in Computer Science and Engineering and an Executive General Management Program from IIM Bangalore. Joe Kurian is a seasoned credit risk analytics professional with over 22 years of experience . He is one of the cofounders of TRaiCE Inc, a company that offers portfolio risk monitoring systems to business lenders using AI. Joe's extensive banking background includes working in institutions such as GE Capital, HSBC, Wells Fargo, and MUFG where he was responsible for building analytical infrastructure within credit risk management functions, loan originations strategy, model risk management and regulatory and internal audit preparedness. Joe holds a Masters degree in quantitative economics from IIT Bombay and M.S degree in computational and data science from Chapman University, California. https://www.traice.io/ Production Credits: Produced in partnership with Mistry Projects: https://mistryprojects.com/ Connect With Us on LinkedIn
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