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    Business Insights

    Presentation

    Leveraging Artificial Intelligence & Big Data to Maximize Your Early Warning Practices

    New approaches to augment your early warning practice, including: how leading institutions utilize data to monitor and benchmark their portfolio risk, the benefits of incorporating Credit Sentiment Scores into your risk management toolkit; when should you start to worry?

    Presentation

    Tech Disruption in CRE & The Evolution of Hyperlocal Analysis

    How is technology disrupting CRE, and how hyperlocal analysis is evolving to augment traditional analysis of risk and opportunities. The session will cover real-world case studies and how clients have been responding to disruptive trends and using hyperlocal data to address challenges.

    Presentation
    Graphs_Technology

    It's 2019, Do you Know Who Your Borrowers Are?

    Technology and modern finance have enabled individuals and companies to become connected in complex ways. Key insights about the reputational risk of banking a customer are now buried inside tangled relationships that cross legal, company, and geographical borders

    Presentation
    Renewable Energy Sketch

    Climate Risk - the Science, the Economics, and the Time to Act

    Climate risk is increasingly a discussion topic amongst financial market participants and regulators. And yet, there are still many questions about its provenance and impacts, and applications to best practices in the financial sectors. We will address these questions and more in an interactive, informative format.

    Presentation
    City Skyline

    ‍The CRE Equivalent of Zestimate: Combining Machine Learning and Spatial Modeling to Mine Big Data ‍

    With an increasing demand for faster and more objective estimates of fair market rent and pricing for commercial properties, we explore bringing the automated valuation model (AVM) to CRE.

    Presentation
    Machine Learning and AI

    Machine Learning Interpretability Techniques in Credit Risk Modeling

    We explore constructing and applying Machine Learning Techniques that are both transparent and interpretable. Also discussed are leveraging a model-agnostic perspective and demystifying and socializing chosen ML risk models.

    Presentation
    Internet of Things

    Expanding Roles of Artificial Intelligence and Machine Learning in Lending and Credit Risk Management ‍

    With ever-expanding and improving AI and Machine Learning available, we explore how a lending officer can make good decisions faster and cheaper through AI. Will AI/ML refine existing processes? Or lead to completely new approaches? Or Both? What is the promise? And what is the risk?

    Presentation
    CECL-Time

    Mission Possible: Producing Defendable CECL Results With or Without Models

    Learn to differentiate C&I, CRE, retail, and securities. Choose approaches at the right level of flexibility and sophistication. Apply model-free solutions based on historical internal or industry data.

    Presentation
    Business man drawing pie chart

    Loan Valuation and Credit Portfolio Management Post-IFRS 9, CECL

    RAROC and RORAC solutions that account for allowance and forward-looking IFRS 9 / CECL measures in return and risk.

    Presentation
    Abstract architecture background. Skyscraper with sunlight.

    Economic Cycles and Property Performance: Risks and Opportunities in the CRE Market ‍

    Some market performance metrics are at historic highs, while other markets have arguably been in a localized recession for several years. Where do different CRE markets stand? Where are the risks and opportunities? ‍

    Presentation
    Business People DIscussion Brainstorming Teamwork Concept

    Assessing Financial Statement Quality

    Is a financial statement decision useful? Is it informative enough to make a loan, acquire a company, increase a limit or move a borrower to work out? The quality of financial statements is a concern for all firms, especially as the demand for faster and more accurate due diligence grows.

    Presentation
    Stock Market Graph and Bar Chart

    Boom, Bust, Flat: Quantifying Recession and Expansion Risks with Scenarios

    Having achieved the longest expansion in history, what's next for the US economy? ‍We will identify current downside – and upside – risks that could pull the economy into recession or propel it forward. We identify short, medium, and long-term risk factors and introduce a methodology for incorporating these risks into a globally consistent framework. ‍While no model can forecast the future with certainty, scenarios with mathematically derived probability weights can manage these risks and lead to better, faster decisions. ‍