With a flurry of activity by the Federal Communications last year, 2021 will result in a seismic change in the robocall regulatory landscape for voice service providers. The FCC issued multiple new orders and rules covering a broad range of issues, including call authentication, traceback, call blocking, and limitations on prior landline call exemptions, among others.
Last year also saw unprecedented interest by the Supreme Court in TCPA related issues. The Supreme Court heard oral arguments in multiple TCPA cases on two separate issues. After issuing its decision in Barr v. American Association of Political Consultants, the Court is poised to issue its highly anticipated decision in the landmark Facebook Inc. v. Duguid appeal. Will Calling Cell phones and landlines ever be the same?

1:45 PM - 2:15 PM
Breakout Sessions

Session 1: Transparency in the Use of AI for Credit and Fraud Decisions
Artificial Intelligence (AI), including Machine Learning (ML), has grown to become a widely applied discipline for optimizing the speed and profitability of high-volume credit and fraud decision processes in many industries, including Telecommunications. Decision-makers’ application of AI models can impact the cost and ease of consumers’ access to vital opportunities. As such, consumers and decision-makers both benefit when decision-makers possess the ability to vouch for the appropriateness and fairness of their AI decision models’ output. The growing complexity of new and powerful AI modeling approaches in recent years has led to the rise of the field of Explainable AI, a research area that focuses on developing techniques to make AI and ML decision-making models interpretable and trustworthy.
This presentation will include a primer on AI and ML in the context of credit and fraud decisions, explainable AI methodologies that enhance model understandability and simplicity without sacrificing predictive power, approaches for making models as predictive as possible while minimizing the potential for unintended bias, as well as TransUnion’s engagement with the broader AI community, including governmental agencies, to promote standards and tools for trustworthy AI.

Vijay Ravichandran (TransUnion) - Manager, Data Science and Analytics

Topic: Utilization and Ethics Surrounding Artificial Intelligence

Session 2: Cox Communication Case Study on Best Practices in Omni-channel Collections
This case study session hosted with Cox Communication will highlight the latest trends and successes in using advanced technology to drive omni-channel collection results. John Craven, Sr. will present how an automated omni-channel communications strategy helps improve the customer experience, lowers operating expenses and drives efficiency. See how implementing omni-channel bill payment preferences via digital channels accelerates self-cure. We will also explore how new analytics and optimization technology tools can help automate and sequence communications by risk segment to deliver the right message at the right time.

In this new digitized age, telecommunication companies need to balance providing a great customer experience with the risk and fraud controls. Organizations are vulnerable to coordinated, networked fraud attacked which contribute to a rapid increase in account opening fraud and account take over. Understanding a consumer’s true digital identity is critical in order to make smarter decisions without impacting the consumer experience for trusted customers.
In this session, UScellular and LexisNexis Risk Solutions will share a real-world case study on how their organization prioritized making fraud strategy changes to better fight fraud in the digital era. They will walk through how they’re combatting fraud risk with a risk based multi-layered defense by combining traditional analytics and fraud scores with digital identity intelligence. By taking this innovative approach, they’ve been able to apply appropriate friction while detecting and preventing more fraud.