As organizations increasingly rely on data to drive decisions, many are migrating to cloud-based platforms like Snowflake to overcome the limitations of traditional data warehouses. This shift is driven by the need for greater scalability and agility, and migrating to the cloud requires a strategic approach. First, organizations must develop a clear strategy for adopting the cloud and optimizing their data platforms, ensuring a smooth transition. Modernizing data engineering practices is essential, including building scalable data pipelines and employing advanced data modeling techniques to support complex analytical needs. Additionally, integrating AI and analytics capabilities into the cloud infrastructure is key, enabling predictive modeling, machine learning, and real-time insights. Finally, robust data governance and security frameworks must be established to protect sensitive data, ensure quality, and meet regulatory compliance.
CIO
Executive Council
Accelerating Data Migration to Cloud Platforms: Ensuring Quality, Scalability, and Governance at Scale
Visionaries
January 30, 2025
Attend this event
Agenda
All times Eastern Time
3:00 PM - 4:15 PM
Accelerating Data Migration to Cloud Platforms: Ensuring Quality, Scalability, and Governance at Scale
Panelists
Sachin Narang
Senior Director - Data Warehouse
Tiger Analytics
Senior Director at Tiger Analytics with over two decades of expertise in solution design, data engineering, and leading digital transformation initiatives for large enterprises. Specializes in cloud modernization, Snowflake, big data ecosystems, and data virtualization, delivering innovative and scalable data solutions to drive business impact.
Jonathan Regenstein
AI Principle for Financial Services
Snowflake
Jonathan's career has spanned many roles with the goal of changing the world of financial services through data scinece, software and the cloud. He has spent time leading ML teams on the sell side and the buy side. Currently, he is leading the commercial GTM efforts for AI in financial services.
Shadaab Kanwal
MD of Digital, Data, & Analytics
Charles Schwab
SHADAAB KANWAL serves as MD Digital, Data, and Analytics at Charles Schwab, executing digital technology, data, AI, and advanced analytics strategies. NYSE:SCHW is a global investment and wealth management firm with >$8.5T(AUM) in client assets, 33M+ brokerage accounts, and a full range of banking and financial advisory services.
As a transformational, strategically adaptable, and value driven leader.
★ Adept at creating vision to value, linking strategy to execution, and agile change management.
★ Executed >$300M+ mega programs of technology-led, business agility, and hyper-automation, with global teams of >300+ for Kaiser Permanente, UCLA Health, OhioHealth, MAYO Clinic, and UnitedHealth Group.
★ Passionate about team empowerment and carving innovative business capabilities, with customer360 design thinking, analytics engineering, and knowledge management.
Sujay Mudalgi
Director, Data Management and Architecture
Pacific Life
Dynamic and results driven Senior Data Leader with over 20 years of experience in data management, including 12+ years in leadership roles.