Real-time Customer Decisions in the Age of AI

Hear from Terisa Roberts, Global Head of Risk Modeling and Decisioning at SAS and Sarah Murphy, Principal Director of Accenture Data and AI, as we explore real-time customer decision making and what it means for portfolio monitoring.

Thanks to the internet and artificial intelligence, consumers today can make financial decisions through multiple channels, resulting in a new level of competitive pressure for the sector. Financial services firms must make decisions that are not only fast and reliable, but also automated. Real-time customer decisioning plays a pivotal role in achieving these goals throughout the credit value chain, from the point of onboarding (including KYC, credit risk and fraud assessments and marketing) and beyond.

Today's episode will focus on:

What are the global trends driving change in customer decisioning in financial services?

What problems/challenges are there with conventional approaches? What are the benefits of modernizing your credit decisioning infrastructure?

How are forward-thinking organizations deriving concrete business value from their decisioning modernization projects?

Links from today's discussion:

SAS and Accenture Risk Model Decisioning

Risk-Based Decisioning in an Age of Uncertainty Part 1

Risk-Based Decisioning in an Age of Uncertainty Part 2

Speakers Bios:

Terisa Roberts Global Head of Risk Modeling and Decisioning, SAS

Terisa Roberts is a risk management professional with 20 years of experience primarily in the financial services sector. She is currently a Director and Global Lead for Risk Modeling and Decisioning at SAS.

Terisa has an extensive background in risk modeling for retail and commercial portfolios including regulatory capital stress testing and IFRS9/CECL. She advises banks, other financial services providers and regulators concerning innovations in Risk Modeling and Decisioning including artificial intelligence and machine learning.

Teresa holds a Ph.D. in Operations Research and Informatics and lives in Sydney Australia

Sarah Murphy, Principal Director, Accenture Data and AI

As a Principal Director at Accenture, Sarah leads the growth of Intelligent Decisioning within the Applied Intelligence practice, leveraging 25+ years of risk management and operational experience in financial services and global consulting. ​

Sarah has a proven track record of solving complex risk issues across the credit customer lifecycle, applying predictive analytics and decision management to transform business culture, minimize exposure, increase profitability, and create risk management centers of excellence. She also has a strong executive presence and excellent communication skills, enabling her to partner with clients and stakeholders at all levels and deliver value-added solutions. ​

Passionate about staying at the forefront of the latest trends and technologies in intelligent decisioning, her mission is to help organizations harness the power of data and analytics to optimize their decision making, enhance their customer experience, and achieve their strategic goals.

Over the years, GARP and SAS have partnered to bring risk practitioners unique insights on a variety of topics related to risk management. Now we present a series of podcasts focused on making financial risk-based decisions in light of the rapid evolution of artificial intelligence and machine learning.

About SAS

SAS is a global leader in data and AI. We help organizations transform data into trusted decisions faster by providing knowledge in the moments that matter. No matter how you prioritize risk, SAS has proven solutions and best practices to help organizations establish a risk-aware culture, optimize capital and liquidity, and meet regulatory demands.

SAS® provides on-demand, high-performance risk analytics to ensure greater efficiency and transparency. Strike the right balance between short- and long-term strategies. And confidently address changing regulations and manage compliance.

Discover why 90% of Fortune 100 companies choose SAS to solve their toughest challenges at sas.com/riskmanagement.