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Available On-Demand - This webinar has been recorded and is now available for download.

Evolving a Modern Cloud-Based Data Platform for Financial Services

TDWI Speaker: David Loshin, President of Knowledge Integrity

Date: Thursday, January 20, 2022

Time: 9:00 a.m. PT, 12:00 p.m. ET

Organizations in all industries are assessing their data architectures to determine their readiness to take advantage of advanced analytics techniques such as text analysis, machine learning, and AI. However, to best evaluate readiness and get into a position to take action, one must understand the contexts for and trends pertaining to data platform modernization. TDWI research shows that the increased demand for advanced analytics is often accompanied by the movement to the cloud, along with the evolution of a unified data platform.

Despite the rush to migrate data and applications to the cloud, established organizations in some industries that are more risk averse, such as financial services, are still considering their approaches to cloud modernization. In this webinar, we explore the challenges faced by legacy-heavy, risk-averse organizations and discuss how they must adapt and evolve a modern cloud-based data platform to maintain competitiveness in a rapidly changing business environment.

Attendees will learn about:

  • Current trends in cloud migration and modernization
  • How emerging financial institutions are eclipsing legacy organizations that are slow to modernize
  • Overcoming cloud anxiety
  • Tactical suggestions for modernizing to the cloud

Guest Speaker

Paul Lacey
Senior Director of Product Marketing

Paul Lacey is a senior director of product marketing at Matillion. He has extensive experience with big data processing, analytics, and OCR data extraction technologies having led both product marketing and engineering teams across several SaaS technology companies. At Matillion, Paul focuses on helping customers make their data useful by leveraging best-in-class emerging technologies in the cloud.

David Loshin

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