Driving Digital Transformation Today and Tomorrow
3 - Part Webinar Series for Banking and Insurance 

Transformative Analytics and AI Practices for
Digital Transformation


About the webinar

Digital transformation requires analytics. But deploying advanced analytics and AI also requires transformation. As analytics and AI become integral rather than adjacent to core business services and products, a new approach is required. In addition, the very nature of artificial intelligence (AI) creates uncertainty and risk. Is your organization ready? 

Join us as we discuss the key mindset, culture, and practices required to effectively identify, develop and deploy advanced analytics and AI in your organization.

Using practical examples from banking and insurance, this webinar will explore:

  • The relationship between digital transformation and advanced analytics/AI
  • Why traditional analytics approaches fail
  • Emerging best practices for advanced analytics and AI deployment 

Have a SAS profile? To complete this form automatically Sign In


All personal information will be handled in accordance with the SAS Privacy Statement.

  Yes, I would like to receive occasional emails from SAS Institute Inc., its affiliates, and third parties whom SAS has a business relationship with about SAS products and services. I understand that I can withdraw my consent at any time by clicking the opt-out link in the emails.

Discover More of the Webinar Series

Driving Digital Transformation:
Why is It so Hard?


Transformative Data and Analytics Technologies for Digital Transformation


About the Experts

Veronique Dorval
VP, Client Acquisition, Engagement and Loyalty,
Sun Life Canada

As Vice-President (VP), Client Acquisition, Engagement and Loyalty for the Client Experience Office (CXO), Véronique provides strategic direction and oversight to drive Client Acquisition, build Client loyalty, and evolve Client Connect, our Digital Client engagement program. Veronique role also includes the development of Sun Life Canada digital coach, Ella and our Direct-to-Client platform, Sun Life GO. Previously, Véronique was VP Finance and Sponsored Markets, leading finance, risk, operations and business development of sponsored markets.  

Prior to joining Sun Life in 2014, Véronique was an Associate Principal at McKinsey & Company. Her 12 years of experience in management consulting, primarily with the North American financial sector, provided her with a wealth of knowledge and broad expertise.

Véronique is a Chartered Financial Analyst (CFA) and has a Bachelor in Business Administration from the Université de Sherbrooke with part of her program completed across Mexico, Spain and India.

Meera Das
Managing Director, AML Modelling and Machine Learning,
BMO Financial Group

Ms. Das currently leads the AML Modeling and Machine learning function for the Bank of Montreal, and her team is responsible for developing surveillance models used to detect money laundering, terrorist financing, human trafficking and sanctions-related risk within transactions.    Ms. Das works with all lines of business across the enterprise to understand where such risks exist or could develop, and her team provides forward thinking, cost-effective risk management solutions.  Her main areas of focus are in applied statistics and in applying scalable, production ready machine-learning models to identify potential financial crime risk in Capital Markets, Wealth Management and the Personal/Commercial lines of business.

Kimberly Nevala
Strategic Advisor,

Kimberly Nevala is a strategic advisor for SAS where she balances forward thinking with real-world perspectives on business analytics, data governance, analytic cultures, and change management. Kimberly’s current focus is helping customers understand both the business potential and practical implications of artificial intelligence (AI) and machine learning (ML).

Tina Schweihofer
Senior Manager, Data Sciences & Financial Services,
SAS Canada

Tina is passionate about helping people understand how analytics, coupled with the right data strategy can deliver real business benefits.  Tina leads a talented data sciences team that helps organizations across industries apply analytics to solve unique business problems.