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Consumer Lending and Credit - Tackle Business Risks from AI

The key regulatory issues in consumer lending and credit – fair lending, consumer notification and reporting, and unfair, discriminatory or abusive acts or practices – have implications for various AI business risks. Institutions should get ahead of the issue and tackle AI business risks head-on.

About the speaker:
Max Kanaskar - AI Advisor (Financial Services) - CognitiveScale

Max leads CognitiveScale's efforts in driving market success and expansion in Financial Services. He leads various initiatives across the financial services vertical including business development, sales, marketing and delivery.

Prior to joining CognitiveScale, Max worked in strategy and management consulting industry focusing on insurance, banking and capital markets. His work has focused on leading strategic transformations, assessments, and delivery management.
Recorded Nov 19 2020 55 mins
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Presented by
Max Kanaskar - AI Advisor (Financial Services) - CognitiveScale
Presentation preview: Consumer Lending and Credit - Tackle Business Risks from AI

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  • Consumer Lending and Credit - Tackle Business Risks from AI Recorded: Nov 19 2020 55 mins
    Max Kanaskar - AI Advisor (Financial Services) - CognitiveScale
    The key regulatory issues in consumer lending and credit – fair lending, consumer notification and reporting, and unfair, discriminatory or abusive acts or practices – have implications for various AI business risks. Institutions should get ahead of the issue and tackle AI business risks head-on.

    About the speaker:
    Max Kanaskar - AI Advisor (Financial Services) - CognitiveScale

    Max leads CognitiveScale's efforts in driving market success and expansion in Financial Services. He leads various initiatives across the financial services vertical including business development, sales, marketing and delivery.

    Prior to joining CognitiveScale, Max worked in strategy and management consulting industry focusing on insurance, banking and capital markets. His work has focused on leading strategic transformations, assessments, and delivery management.
  • Detecting Racial Bias in Healthcare using Trusted AI Recorded: Aug 27 2020 54 mins
    Dr. Joydeep Ghosh, Chief Scientific Officer, CognitiveScale
    A wide variety of historical and socio-economic factors have led to widespread disparities across races in both access to and consumption of healthcare resources in the USA. Despite the best of intentions, racial biases have also crept into the behavior of machine learning based automated decision making systems that are trained on historical data and are being increasingly deployed in the healthcare industry. The adoption and deployment of such biased AI solutions pose significant business risks, as well as harm to the individuals who are affected by their decisions.

    In this webinar, we show how different aspects of our Trusted AI Approach can help to detect and such biases and help mitigate the associated risks, leading to solutions that are more socially responsible while retaining business value.

    What you will learn from the webinar:
    - pervasive nature of bias in healthcare decision making
    - risk of employing biased AI solutions, with examples
    - how to design more reliable and trustworthy AI
    - bias detection and mitigation exemplified.

    About the presenter:

    Dr. Joydeep Ghosh (PhD ’88) is the Chief Scientific Officer at CognitiveScale, responsible for shaping corporate vision, influencing technology strategy, overseeing algorithmic science, and positioning the company for growth in the coming months and years. Dr. Ghosh is also the Schlumberger Centennial Chair Professor at the University of Texas (UT), Austin with appointments across multiple colleges involved in the theory, design and application of AI-related technologies and systems. He is the founder-director of UT-MINDS, considered among the top academic groups worldwide researching full-stack Machine Intelligence and Decision Systems.
  • Beyond Algorithms: Solving AI's Blackbox Problem with Trust as a Service Recorded: Oct 29 2019 42 mins
    Gavin Munroe, Manoj Saxena, Ashish Devalekar
    Machine Learning and Artificial Intelligence are here to stay and are rapidly being adopted in virtually every domain – from healthcare to finance and public safety and entertainment, to name a few. However, most automated decisioning models today—ML algorithms, statistical models, and rules—are blackboxes that often function in oblique, invisible ways for both their developers and especially consumers, boards, and regulators.

    Learn how AI experts in the financial industry are tackling this blackbox problem head on by managing and mitigating data risks, bias and AI/ML project stall at the enterprise level from the leaders in the industry.

    Join Gavin Munroe, Global CIO of Retail Banking & Wealth Management at HSBC, Manoj Saxena, Executive Chairman for CognitiveScale, and Ashish Devalekar, Head of Financial Services CapGemini UK, to discuss the latest in AI and the idea of Trust as a Service in the industry.
Practical, Scalable, Trusted AI
CognitiveScale is an enterprise AI company with software solutions that helps customers win with intelligent, transparent and trusted AI/ML powered digital systems.

Our Cortex software and AI accelerators enable businesses to rapidly build, operate, and evolve intelligent, transparent, and trusted AI systems on any cloud to:
— Improve customer engagement and lifetime value
— Boost employee expertise to streamline business decisions
— Protect brand reputation and digital infrastructure from AI Business risks

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  • Title: Consumer Lending and Credit - Tackle Business Risks from AI
  • Live at: Nov 19 2020 5:00 pm
  • Presented by: Max Kanaskar - AI Advisor (Financial Services) - CognitiveScale
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