CDAO Fall Day 2 schedule

•    The latest trends and technologies shaping the field of data and analytics in 2024, including advancements in artificial intelligence, machine learning, big data, cloud computing, and edge analytics
•    Insights into how organizations are leveraging data and analytics to drive business strategy, innovate products and services, optimize operations, and enhance customer experiences, leading to competitive advantage and market differentiation

Bappaditya Roy, Chief Cloud Architect, THE TJX COMPANIES, INC

Tarun Sood, Chief Data Officer, AMERICAN CENTURY INVESTMENT

Alex Golbin, Managing Director, Chief Data Officer & Interim Chief Technology Officer, HUDSON BAY CAPITAL MANAGEMENT

Richard Schaefer, Chief AI Officer VISN, U.S. DEPARTMENT OF VETERANS AFFAIRS

Erum Manzoor, Senior Vice President, CITI

Moderated by: 
Avinash Tripathi, Vice President, Analytics, UNIVERSITY OF PHOENIX

•    Transitioning from AI Concepts to Practical Applications
•    Developing a Robust AI Frameworks that create value 
•    Maximizing AI's Potential for Innovation and Growth:

Steve Boras, Chief Data Officer, CITIZENS BANK

Maximizing your Data & Analytics Strategy for ROI, Efficiency and Productivity in an increasingly demanding environment.
•    The role of advanced analytics and artificial intelligence (AI) solutions in driving ROI
•    Why is it important to define and track key performance indicators (KPIs) related to data and analytics initiatives, such as return on investment (ROI), cost savings, productivity gains, and process efficiency improvements

•    Investing in AI talent, infrastructure, and capabilities, and developing strategies to leverage AI for competitive advantage and business growth
•    Understanding the potential AI has to drive innovation, enhance efficiency, and unlock new opportunities for value creation in a rapidly evolving digital landscape
Glenn Hofmann, Chief Analytics Officer, NEW YORK LIFE INSURANCE COMPANY

•    Establishing robust data governance frameworks
•    Ensuring data security in AI driven environments 
•    Balancing innovation and privacy

Nachiket Mehta, Head of Data and Analytics, Engineering, Global Operations, WAYFAIR

Steve Boras, Chief Data Officer, CITIZENS BANK

Sowmya Subramanian, Executive Vice President, WARNER BROS. DISCOVERY

Panel Moderator from DataRobot

•    Designing comprehensive data management strategies 
•    Ensuring high quality data for business intelligence
•    Innovative data management tools and technologies 

Vivek Goel, Chief AI Strategist, WELLNESS CONNECTION

Puneet Matai, Data and AI Governance Lead – RT Commercial, RIO TINTO

Keerti Purohit, Assistant Vice President, Data & Analytics, VERIZON

Reserved for WNS

•    How artificial intelligence (AI) is transforming the financial services industry
•    The role of AI and machine learning in algorithmic trading and quantitative finance, including automated trading strategies, pattern recognition, and predictive modeling

Diego de Aragao, Senior Vice President, Balance Sheet Management & Analytics, CITI

Chandra Kapireddy, Firmwide Head of Gen AI, ML & Analytics, TRUIST 

David Dietrich, Vice President, Advance Analytics & Governance, FIDELITY INVESTMENTS

Erum Manzoor, Senior Vice President, CITI

Challenges and Opportunities of Generative AI and its Implications on your Data Strategy
•    Address challenges of protecting sensitive information, ensuring compliance with data regulations, and addressing the potential vulnerabilities
•    Discuss the potential of generative models to create realistic synthetic data

Tarun Sood, Chief Data Officer, AMERICAN CENTURY INVESTMENT

•    Enhancing Predictive Accuracy: Explore how AI-driven predictive analytics can improve data driven decisions and improve business outcomes 
Erum Manzoor, Senior Vice President, CITI
Vishal Patel, Chief Data & Analytics Officer, WEBSTER BANK
Jen Courant, Chief Data Officer, DWS GROUP

•    Insights into how AI algorithms analyze customer data, such as browsing history, purchase patterns, and demographic information, to deliver personalized product recommendations, enhancing engagement, conversion rates, and customer satisfaction

David Smith, Director of Data Governance, NEW BALANCE
Zach Elewitz, Head of AI, FORTUNE BRANDS
Seema Swamy, Senior Director, Insights, Analytics & Data Science, WALMART
Shreesha Jagadeesh, Associate Director of Applied Machine Learning, BEST BUY
Sabaita Mohsin, AI Product Leader, CATERPILLAR INC.
Laks Meyyappan, Executive Director, Algorithms & Data Science, CVH HEALH

In today's data-driven landscape, organizations must harness the power of their data to gain a competitive edge. However, legacy systems and siloed data sources often hinder innovation and agility. This session will provide a strategic blueprint for building a modern, future-proof data platform that unlocks the full potential of your organization's data enabling you to deliver innovative AI and analytical solutions.

Vinay Narayana, Senior Director, Engineering, Data Analytics & ML, LEVI STRAUSS & CO

Sundeep Das, Head of Machines Learning/AI -New Business Verticals, DOOR DASH

Rohit Raghunathan, Head of Engineering, DOORDASH

The evolution of data analytics in hospitals and healthcare systems, highlighting advancements in technology, data collection methods, and analytical techniques that have shaped the industry's approach to data-driven decision-making

Carly Van Zandt, Senior Director, Data Governance, FRESENIUS MEDICAL CARE

Joshua Merrill, Enterprise Data, Analytics & Reporting , BOSTON CHILDREN’S HOSPITAL

Ajai Sehgal, Chief Data & Analytics Officer, MAYO CLINIC

Kevin Kramer, Senior Vice President, Data Science & Analytics, RECOVERY CENTERS OF AMERICA

Rohit Kumar, Vice President, Software Engineering/Data Engineering, AETNA

Sammi Tang, Vice President, Global Head of Biometrics Department, Quantitive Medicine, Data Strategy, Medical Writing) SERVIER

 AI  technology made it possible for doctors to spend more time with patients. According to a study, Physicians spend 50% of patient visit time updating records in provider systems like EHRs and only spent 25% of their time with patients. 
Apple Watches and Smartphones devices help record patient, doctor's conversation and NLP technology convert unstructured clinical records to structured records to update the provider's systems.

Now healthcare is moving from fee-per-service to a value-based care model. Healthcare organizations are working on measure provider performance and identifying gaps in care for reporting to payers and regulators. This type of data mining in healthcare, made possible by NLP

Ram Gautam, Clinical Platform, TELADOC HEALTH

Ensuring the implementation of AI adheres to strict ethical standards and protects patient confidentiality, mitigating risks related to data security and misuse.

Samta Shukla, Director of AI & Data Science, BLUE CROSS AND BLUE SHIELDS OF MINNESOTA 

Join us as we discuss real-world examples, challenges, and the future of data-driven decision-making in manufacturing, and discover how leading companies are leveraging data to drive innovation and maintain a competitive edge.

Sheri Marshall, Technical Director, Global Analytics Capability Development, GENERAL MOTORS

•    Essential steps to set up and foster a thriving community of practice within data and analytics organizations, including best practices for engagement and knowledge sharing
•    Examining various organizational models for data and analytics teams, discussing the pros and cons of each, and delve into the importance of promoting data literacy to empower all employees across the organization.

Sheri Marshall, Technical Director, Global Analytics Capability Development, GENERAL MOTORS

•    The Importance of cultural transformation in manufacturing organizations to embrace data-driven decision-making
•    Challenges associated with data literacy and the skills gap within manufacturing workforce; strategies for upskilling employees, promoting data literacy, and fostering a culture of continuous learning 

Joe Delpercio, Director, Analytic Services, ZEUS INDUSTRIAL PRODUCTS

Haroon Abbu, Senior Vice President, Digital Technology & Data Analytics , BELL & HOWELL

•    The Good: Creating Personalized Customer Experiences
•    The Bad: Pitfalls of Poor Data Management
•    The Ugly: Risks of Misusing Customer Data

James Pavlovich, Vice President, Customer Experience and Operations, STRAUMANN GROUP

•    An overview of emerging technologies such as artificial intelligence (AI), machine learning (ML), natural language processing (NLP), blockchain, edge computing, and quantum computing, and their potential applications in data science
•    Insights into future trends and opportunities in data science, and the potential impact of these trends on driving innovation across various industries

Sowmya Subramanian, Executive Vice President, WARNER BROS. DISCOVERY

•    The importance of continuous innovation and adaptation in the rapidly evolving digital landscape; strategies for staying agile and responsive to market changes, emerging technologies, and evolving customer needs through iterative experimentation and learning
•    Common challenges and roadblocks encountered in digital transformation and data strategy initiatives and how to overcome these challenges

Kendell Timmers, SVP, Head of Data & Insights, THE NEW YORK TIMES
Sam Marks, Director of Business Strategy, Solutions & Analytics, BOSTON BRUINS
Gabrielle Riese, Model Risk Manager, CITIZENS
Parag Shah, Vice President of Data, CARGURUS