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Artificial Intelligence & Machine Learning in Credit Risk ManagementContains 1 Component(s) Recorded On: 09/20/2021
This on-demand webinar is available for 14 days after purchase. In an age of automation and digitalization, the use of artificial intelligence (AI) and machine learning (ML) is now mainstream in our society. It delivers tangible benefits in risk management: AI and ML are increasingly able improve the accuracy of risk estimation models, automate repetitive processes and accelerate risk-based decision making. However, great technologies are not without risks. It raises a fundamental question for high stakes decisions: If we don’t fully understand the workings of AI, how can we trust it? The trust issue is further highlighted by a range of challenges with AI in the news: from data privacy concerns to how do we explain black box algorithms and decisions to stakeholders. How can firms build trust and confidence in AI and ML with the right models, controls and intrinsic explainability? The talk will highlight cases where AI and ML are delivering value to the risk function, and discuss global industry practices to address bias or fairness and how current model governance frameworks can be extended to safeguard the responsible use of AI and ML.
Financial Shenanigans & Case StudyContains 1 Component(s) Recorded On: 09/16/2021
This on-demand webinar is available for 14 days after purchase. Financial shenanigans can range from creative interpretation of accounting rules to outright fraud. These change the company's credit risk, often making it look healthier than it is, and the issues can go undetected for many years. Financial shenanigans pose significant analytical challenges to credit professionals and have caused sizeable losses to the credit and investor community. Join Antje Seiffert Murphy, CFA, as she addresses different types of financial shenanigans and ways to detect them. Antje will work through a hypothetical case study to demonstrate how financial shenanigans can significantly alter how financially healthy a company could appear.
LC Series- Understanding the Letter of Credit Process: What Every Exporter Needs to KnowContains 1 Component(s) Recorded On: 09/15/2021
This on-demand webinar is available for 14 days after purchase. Topics that will be addressed during this webinar: Review The Role Of Letters Of Credit Security, Payment, Financing Major Problems With Letters Of Credit Why These Problems Occur And What Actions To Take The Five-Step Letter Of Credit “Process” Explained Logistics Documentation Correspondent Banking Payment Structure LC Structure Why Exporters Must Negotiate LC Terms And Conditions With Buyers Dangers Of Not Embracing The LC Process And Negotiating From Strength
Collecting your Judgment – Levies, Garnishments and Getting PaidContains 1 Component(s) Recorded On: 09/08/2021
This on-demand webinar is available for 14 days after purchase. You won your case, you have your judgment, now how do you get the other side to pay? Most businesses don’t understand that winning the case is only half the battle. Just because you win does not mean the other side will simply write you a check, you still need to collect your money. This presentation will cover the various ways you can collect your money from levying on bank accounts and garnishing wages to selling property. There are lots of ways to collect your judgment and we will cover them in this presentation.
Digital Transformation for Accounts Receivables: Insight, Segmentation and BeyondContains 1 Component(s) Recorded On: 08/25/2021
This on-demand webinar is available for 14 days after purchase. Please join Dun & Bradstreet for a very special virtual user group. During this session, we will present simple ways to transform your organization's accounts receivables processes with data and technology to help improve efficiencies and cash flow for your business. Our discussion will include: Risk-Based Segmentation Workflow Strategies Treatment Matrices Paperless Transactions Payment Processing About the Speaker Christopher Rios - Vice President, D&B Finance Analytics, Dun & Bradstreet Christopher brings over 20 years of financial operations experience to the product team at Dun & Bradstreet. He has experience across various industries including manufacturing, services, and security with a focus on organizational development and resourcing; strategic planning and technology management to build a global shared services model for finance operations.
Best Practices and Insight for Preventing FraudContains 1 Component(s) Recorded On: 08/23/2021
This on-demand webinar is available for 14 days after purchase. Learn how to reduce fraud rates and fraudulent chargebacks, and increase approval rates. Join Fiserv’s John Sammaro as he discusses how to mitigate issues associated with fraud. He’ll provide a brief demo of Fiserv’s fraud detect and 3D secure solutions.
Credit and Collection as an Influencer: An Interactive RoadmapContains 1 Component(s) Recorded On: 08/17/2021
This on-demand webinar is available for 14 days after purchase. During this webinar, Chris Doxey will help break down the siloes and review how credit and collection functions impact your company. She’ll provide a roles and responsibilities matrix that depicts key interaction points. This matrix will define process gaps and will provide action plans to help the credit and collections organization become a strong influencer and add significant value within your company.
Integrating Fraud Prevention in Credit Checking, Billing and Other Order-to-Cash AreasContains 1 Component(s) Recorded On: 08/09/2021
This on-demand webinar is available for 14 days after purchase. As a proactive credit professional, you look for process improvements to protect your company and make your credit underwriting meaningful and effective. A recent PricewaterhouseCoopers fraud survey cites about half of the polled companies reported being a victim of fraud in the past 24 months, the second-highest reported level in 20 years. Losses totaled roughly $42 billion in the last two years. The survey also estimates 30-40% of incidents go unreported. These losses cross all industry segments, and working remotely has increased the incidence of fraud. The order-to-cash process includes several areas of vulnerability to hackers and fraudulent activity. In this webinar, join credit professional, Bob Karau, as he explores these vulnerabilities and discusses the best ways to protect your company. Get ready for a fresh, fast-paced, 60-minute entertaining and interactive session on ways to integrate fraud detection into your credit underwriting process. An Overview of Topics Fraud Detection and Prevention 101—basic steps to integrate into credit checking processes to prevent customer/client threats. Fraud Controls for Billing and Cash/Payment Processes. Steps to detect and protect sales departments and others against fraud.
Customer Contract Management 101Contains 1 Component(s) Recorded On: 08/04/2021
This on-demand webinar is available for 14 days after purchase. Chris Doxey will dive deep into the world of customer contracts and the terminology that credit and collection teams must know. She’ll review process flows for different types of customer contracts that may impact your company and will assess the roles and responsibilities for the contract management process via an organizational matrix. This webinar will include a glossary of key terms for attendees.
Small Business Reorganizations Under Sub Chapter V of the Bankruptcy CodeContains 1 Component(s) Recorded On: 07/26/2021
This on-demand webinar is available for 14 days after purchase. Congress enacted the Small Business Reorganization Act of 2019 (SBRA), creating a new Sub Chapter V of the Bankruptcy Code, which took effect Feb. 19, 2020. The SBRA was enacted to expedite and reduce the cost of small business bankruptcy cases. In this program, Lowenstein Sandler’s Bruce Nathan and Michael Papandrea will discuss the SBRA’s changes to existing small business Chapter 11 provisions and how those changes impact both debtors and the trade. They will also discuss SBRA’s and other recent changes to preference law.
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