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Overview
Artificial intelligence has revolutionized the way we store, process, and analyze data. However, with great power comes great responsibility, especially when it comes to protecting sensitive information. In this webinar, we’ll explore the challenges and best practices for data privacy and protection in the age of AI and Large Language Models (LLMS).
We’ll cover:
- How to understand the risks and threats to data privacy in the age of AI
- The latest trends and regulations in data privacy and protection
- The key data governance challenges and risks associated with LLMs
- Best practices for implementing data governance around LLMs
- Best practices for securing data in an AI-driven world
- Practical insights and advice on how to safeguard sensitive information
Join us to learn how to protect your organization’s data in the age of AI and enhance your knowledge and skills in data privacy and protection. Register now!
Moderator
Vivian Lai – Capital Markets Specialist, AWS
Vivian is a Capital Markets Specialist at AWS. Prior to AWS, Vivian spent 20+ years on the buy-side, including at Bridgewater Associates, Amaranth Advisors, and Pequot Capital, in front-office technology roles. Vivian was also a co-founder at Cerulean Analytics, which was acquired by Trepp in 2017, and the Chief Operating Officer at Adroit Trading Technologies. Vivian received a Bachelors in Computer Science and a Bachelors in Management from Rensselaer Polytechnic Institute.
Speaker/s
Ruben Falk – Capital Markets Specialist - Data Platforms, Machine Learning, & Generative AI, AWS
Seasoned business executive with global leadership record across blue chip capital market businesses and VC exits. Experienced in global product strategy, commercial delivery, strategic relationship building, investment management, investment banking, and data & analytics solutions. Skilled in go-to-market strategy formulation and implementation, translating customer insights into actionable solutions, product roadmaps, pipeline development, leading sales specialist teams, and exceeding revenue targets. Adept at driving high performing, multi-disciplinary, global teams. Particular depth in generative AI, machine learning, enterprise software design, product and technology roll out, factor modeling, portfolio construction and optimization, risk models, time series analysis, statistical analysis, trading systems. Extensive global leadership experience driving growth and managing cross-cultural teams across the Americas, Europe, and APAC. Expertise in general management, capital markets, fintech, new product development, commercialization, and driving P&L accountability.
See Ruben Falk‘s full profile.
Christopher Glover – Field CTO, BigID
Christopher is a data leader with broad experiences spanning product development, data management, architecture, operations and compliance. He has a proven track record for building and developing high performing teams and innovative products that lead to competitive advantage.
In his work at PayPal, he held roles in architecture and management. As an architect, he was responsible for new architecture that significantly increased the availability of the core transaction processing systems. As a leader, he helped to create a new data management organization where he had responsibility for frontend and backend data architecture, integration architecture and data governance functions.
At eBay, he led the Inc.-level data initiative focused on the aggregation of global data assets from eBay and its subsidiaries. He worked closely with executive leadership to overcome organizational barriers ultimately creating a new universal view of the customer with applications in customer service, marketing, advertising and risk. He also had a critical role in the separation of the of PayPal businesses, responsible for all shared data assets pre and post separation.
Christopher is currently the Field CTO at BigID where he focuses on solving complex data management problems for customers.
Recent On-Demand Web Conferences
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