Adopting AI, ML, and automation in the banking industry
On Demand
Featured Speaker: Agus Sudjianto, Executive Vice President, Head of Corporate Model Risk at Wells Fargo
Introduced by: Ciro Donalek, Chief Scientific Officer and Co-founder at Virtualitics
The banking industry has rapidly adopted Machine Learning for various applications for predictive analytics and process automation. The adoption of AI/ML is very natural because of the nature of the business that is both data and process intensive. While the benefits of AI/ML are very compelling, they are also bringing new risks beyond the traditional financial risk. With their model risk management practice that has been maturing in the last 10 years, banks are ahead of other industries in managing the risk of AI/ML. One of the key aspects to manage the risk is model explainability. While the adoption of so called ExplainableAI, which is typically ‘black box’ machine learning models accompanied by post-hoc explainability tools, is becoming more common for low risk applications, the concern remains for high risk areas such as credit underwriting; thus large banks are typically more cautious in adopting the methodology. There are many recent developments on inherently interpretable, self-explanatory machine learning models without the problem of post-hoc explainers. The focus of my talk will cover applications of AI/ML, their risk management as well as the approach for designing inherently interpretable machine learning for high-risk applications.
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Agenda:
- 11:30-12:30pm: Featured Presentation
- 12:30-13:00pm: Your Q&A and interaction
Featured Presenters
Supported By
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Datafloq
Datafloq offers information, insights, and opportunities to drive innovation with big data, blockchain, artificial intelligence, and other emerging technologies. It is the best place to
DataRobot
DataRobot is the leader in enterprise AI, delivering trusted AI technology and ROI enablement services to global enterprises. DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models.
Guidehouse
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HEAVY.AI
HEAVY.AI provides advanced analytics that empower businesses and the government to visualize high-value opportunities and risks hidden in their big location and time data, supporting time-sensitive, high-impact decisions.
InfuseAI
InfuseAI is developing a software platform to help data scientists build and deploy AI models faster by automating their development workflow.
Kili Technology
The leading Data-Centric AI platform to iterate and ship your projects to production faster.
Shaip
Shaip is a fully managed data platform (with a human-in-the-loop) designed for companies looking to solve the most demanding AI challenges to achieve smarter, faster and better results.
Superb AI
Superb AI is an end-to-end training data platform that automates data preparation at scale and makes building and iterating on datasets quick, systematic, and repeatable.
Unite.AI
Unite.ai was designed to offer detailed analysis and news on the latest advancements in machine learning and AI technology.
Validity
Validity is the most trusted name in customer data quality. Tens of thousands of organizations rely on Validity solutions to improve customer engagement and manage their customer data.
Virtualitics
Virtualitics is an advanced analytics company that helps enterprises and governments make smarter business decisions, faster with ready-to-use AI that can be understood–by analysts and business leaders alike.
