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
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
Andrew Patricio, Principal, Data & Analytics, UNIDOSUS

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

Is over 50% of your data unexplored? "Dark data" presents a significant challenge for analytics leaders, with teams often lacking the time to sift through complex datasets. Join Dr. Ryohei Fujimaki, CEO of dotData, Inc., for a deep dive into the latest revolution of generative and agentic AI. Discover how these AI technologies complement and enhance your traditional BI and NLP-based BI stacks, unlocking 10x more insights from your data at 10x the speed. Transform your data and analytics strategy for greater business outcomes.
Ryohei Fujimaki Ph.D., Chief Executive Officer, DOTDATA

•    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, Head of Model Risk Management & Validation, CITIZENS BANK
Jayeeta Putatunda, Senior Data Scientist – NLP & Gen AI, Manager, Emerging Technologies, FITCH GROUP, INC.
Jessica Lin, Lead Data Scientist, DATAROBOT

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

Keerti Purohit, Executive Director, Data & Analytics, VERIZON
Shweta Mahajan, Product Owner, Data Management Lead, BLOOMBERG
John Hernandez, Director, Content Analytics, ALM MEDIA
Anton Pavlov, Senior Manager, Customer Data & Marketing Automation, ALNYLAM PHARMACEUTICALS 
Moderator:Vibhor Garg, Chief Growth Officer, WNS ANALYTICS

 

 

•    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

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

Erum Manzoor, Senior Vice President, CITI

Moderated by Pete Foley, Chief Executive Officer & Co-Founder, MODELOP

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

•    Enhancing Predictive Accuracy: Explore how AI-driven predictive analytics can improve data driven decisions and improve business outcomes 
Erum Manzoor, Senior Vice President, CITI
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

Exploring the Ethical Implications of Advanced AI and AGI Development
•    Implementing bias mitigation strategies to proactively identify and minimize biases in AI/Gen AI algorithms and models, ensuring fairness and equity in decision-making processes 
•    Promoting explainability and transparency in AI/Gen AI systems to provide clear insights into how AI models make decisions, enhancing trust, and facilitating better understanding of AI-generated outcomes 
Eric Higgins, Vice President, Global Online Data Science, THE ESTÉE LAUDER COMPANIES INC.

Sudeep Das, Head of Machine Learning/AI -New Business Verticals, DOOR DASH
Rohit Raghunathan, Head of Engineering, New Verticals Consumer, 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

Moderated by: Archetype

 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

•    End-to-End Model Lifecycle Management in Databricks
•    Ensuring Reliability and Monitoring in Production with MLOps
Crystal Garcia, Director, Data Science, BLUE CROSS BLUE SHIELD OF MICHIGAN
Neetu Togani, Managing Director, Analytics, Data & Reporting, BLUE CROSS BLUE SHIELD OF MICHIGAN

PANEL DISCUSSION: Driving Efficiency and Innovation: Data Quality Management: Ensuring Accuracy, Consistency, and Reliability
•    Techniques for assessing and improving data quality.
•    Common data quality challenges and how to address them.
•    Tools and technologies for monitoring and maintaining data quality
Eric Higgins, Vice President, Global Online Data Science, THE ESTÉE LAUDER COMPANIES INC.
Joe Delpercio, Director, Analytic Services, ZEUS INDUSTRIAL PRODUCTS
Bappaditya Roy, Chief Cloud Architect, THE TJX COMPANIES, INC

•    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.

Steven Fransblow, Senior Vice President, Data, MIXBOOK

•    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

 

Discuss how organizations can integrate AI into their data strategies to drive innovation and achieve competitive advantages

Var Shankar, Associate, Grail Lab, PURDUE UNIVERSITY
Armin Mahmutefendic, Director, Chief Technology Officer, MADISON INTERNATIONAL REALTY
Shweta Mahajan, Product Owner, Data Management Lead, BLOOMBERG
Avinash Tripathi, Vice President, Analytics, UNIVERSITY OF PHOENIX
Matthew McGinnis, Vice President, Data & Analytics, EVERNORTH  
Sudeep Das, Head of Machine Learning/AI -New Business Verticals, DOOR DASH

•    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