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Secure Data Analytics & AI Cloud Platform for Banking and Insurance

With the testimony of BCVs - In partnership with Databricks 

Webinar

November 12, 2024 - November 12, 2024

13:00 - 14:00

Technology advances fast and cloud services outperform, out-feature legacy on-prem solutions more and more. At the same time, privacy of customer data and security are of utmost importance in banking & insurance where trust is key for success. 
 

In this webinar, we are excited to share a testimonial from BCVS and gain valuable insights from their return-of-experience.
 

  • Why did Banque Cantonal du Valais (BCVS) start their cloud adoption journey now, and why did they focus on data topics, including Customer Information Data (CID), first?
  • What are the expected benefits of BCVS's transition to a data-driven banking model, and how did they overcome the challenges in leveraging data from core banking systems?
  • What are the key steps, takeaways and lessons learned from BCVS's cloud adoption journey, and how can this experience guide comparable projects in the banking and insurance sectors?


We are pleased to invite you to this webinar, where you'll discover how a secure data analytics and AI cloud platform can drive a successful data-driven transformation in banking. We’ll conclude with a forward-looking discussion on the data and technology innovations now made possible with Databricks.
 

Why Attend?

  • Gain valuable return-of-experience insights from BCVs who have successfully implemented Secure Data Analytics & AI Cloud Platform.
  • Get actionable insights from industry experts. 
  • Explore how the Databricks solution integrates with your data platform to enhance data processing and analytics capabilities.
     

Agenda:

13:00 – 13:10: Welcome & Enable innovations for banking with Databricks 

13:10 -13:30: BCVs Cloud Adoption: Motivation & Expected Benefits

13:30 – 13:50: Challenges, Solutions, and actionable Key Insights 

13:50 – 14:00: Q&A



RSVP at the Registration Link below.
 

Target Audience: 

  • Head of IT / IT Manager
  • Data Driven Decision Makers 
  • Data Scientists and Analysts 

From Banks, Financial Institutions and Insurances Companies.