CDAO Fall Day 1 schedule

•    Implementing robust data quality monitoring processes and tools to continuously assess and measure data quality against established standards and metrics
•    Implementing data governance practices and controls to ensure data integrity is maintained throughout the data lifecycle, from data ingestion and transformation to storage, analysis, and reporting

Joe Delpercio, Director, Analytic Services, ZEUS INDUSTRIAL PRODUCTS
Jalaj Roy, Vice President, Enterprise Data Architecture, DEUTSCHE BANK
Shrilata Murthy, Manager, International Data Science & Analytics, DOORDASH
Moderator: Executive from Shelf

•    The importance of aligning data governance objectives with business goals and regulatory requirements
•    Strategies for defining and implementing data quality standards and metrics to measure data accuracy

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

•    Pipeline orchestration tools and frameworks in order to automate and managing complex data workflows
•    Building scalable and efficient data pipelines to support AI and ML applications

Reserved for Sigmoid

•    Domain-oriented decentralized data ownership, self-serve data infrastructure, federated data governance, and data product mindset.
•    Scalability and agility benefits of Data Mesh

Barnak Banerjee, Managing Director, Data Engineering, WEBSTER BANK 
Kiran Kodali, Head of R&D Data Strategy and Governance, Data & Foundations, SANOFI

•    The importance of democratizing data access and analytics capabilities across the organization to foster innovation and agility.
•    Strategies for promoting self-service analytics, data literacy programs, and democratized decision-making processes

Xu Cheng, Head of Business Intelligence & Insights, ASCOT GROUP 

•    What key data products and how productization of data is a must to have in today’s world to achieve efficiency, reusability and scalability that business requires?
•    Building internal capabilities for Data Product: data product is an inherent internal capability.  How building up such a capability pose new challenges to organizations?  How do we prepare for such challenges within the organization and as an industry?

Catherine Shen, Senior Director,  US Pharmaceuticals  Commercial Data & Reporting, GSK

Design considerations for building resilient data architectures in multi-cloud environments, including redundancy, fault tolerance, disaster recovery planning, and data replication strategies

•    Overview of the importance of data governance in modern data architectures
•    Strategies for maintaining data quality through data governance practices

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

•    The core functionality of metadata management tools and platforms, such as data cataloging, metadata extraction, metadata storage, and metadata search capabilities.

Anurag Minocha, SMD, Head of Data Products & Reg Data Strategy, WEBSTER BANK
Rohit Kumar, Vice President, Software Engineering/Data Engineering, AETNA
Parag Shah, Vice President of Data, CARGURUS

•    The latest advancements in analytics technologies such as augmented analytics, predictive analytics, and prescriptive analytics, and their role in providing deeper insights and actionable recommendations for decision-making
•    Emphasizing the importance of cross-functional collaboration between data scientists, analysts, business leaders, and domain experts

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

Robin Patra, Head of innovation, Director Data & Analytics, ACRO CONSTRUCTION 

Kendell Timmers, SVP, Head of Data & Insights, THE NEW YORK TIMES

Xu Cheng, Head of Business Intelligence & Insights, ASCOT GROUP 

•    Exploration of advanced analytics techniques used in predictive modeling, including regression analysis, machine learning algorithms, time series forecasting, and ensemble methods
•    Predictions and forecasts for future trends and innovations in predictive analytics, including emerging technologies, methodologies, and applications that are likely to shape the future of predictive modeling

Angelo Riddick, Chief Information Officer, THE STATE OF NEW YORK (former)

•    The significance of data visualization in conveying complex insights and patterns
•    Interactive data visualization tools and techniques for engaging the audience and enabling exploration and analysis of data

Tu Le, Head of  Retail Bank Operations, USAA FEDRAL SAVINGS BANK

PANEL DISCUSSION: Big Data Analytics: Managing, Processing, and Extracting Value from Large Datasets
•    What are the challenges associated with managing big data, including data ingestion, storage, processing, and scalability issues, and strategies for overcoming these challenges
•    Advanced analytics and machine learning techniques applied to big data, such as predictive modeling, clustering, classification, and anomaly detection

Craig Swaisgood, Head of Data & Analytics, NEW YORK METS

Sam Marks, Director of Business Strategy, Solutions & Analytics, BOSTON BRUINS

As the LLM field is seeing dynamic growth and rapid evolution of new architectures, it also requires continuous evaluation methodologies that adapt to changing contexts. Open source initiatives play a pivotal role in addressing the challenges of LLM evaluation, driving progress, facilitating the development of standardized benchmarks, and enabling researchers to consistently benchmark LLM performance across various tasks and domains. We will also evaluate some of the OS evaluation metrics and walkthrough of code using a demo dataset.

Jayeeta Putatunda, Senior Data Scientist – NLP & Gen AI, Manager, Emerging Technologies, FITCH GROUP, INC.

Leveraging data visualization and narrative techniques to transform complex data into engaging stories that resonate with individual customer segments, enhancing understanding and connection

 

•    Highlighting the use of natural language processing (NLP) and sentiment analysis techniques
•    Insights into how machine learning can be applied to optimize business processes, streamline operations, and improve efficiency in areas such as supply chain management, inventory forecasting, demand planning, and resource allocation

Farid Sheikhi, Manager, Business Intelligence & Digital Transformation, KFC CANADA

The Benefits and Challenges of Synthetic Data: Explore how synthetic data can address privacy concerns, reduce biases, and enhance the training of AI models, while also discussing the potential pitfalls and limitations.

Cecilia Dones, Professor, COLUMBIA BUSINESS SCHOOL

•    Key emerging trends and technologies shaping the future of data infrastructure
•    What are the implications of emerging trends and technologies on data infrastructure design, architecture, and management practices, including considerations for security, governance, compliance, and organizational readiness for adoption

Sam Marks, Director of Business Strategy, Solutions & Analytics, BOSTON BRUINS

Armin Mahmutefendic, Director, Chief Technology Officer, MADISON INTERNATIONAL REALTY

Arohi Nair, OFFICE OF CHIEF INFORMATION OFFICER, FEMA, DEPARTMENT OF HOMELAND SECURITY 

Beaumont Vance, Senior Vice President, Data & Artificial Intelligence, PAYCHEX

•    Moving beyond traditional data management and analytics functions to embrace AI-driven innovation and transformation initiatives
•    Enabling CDAOs to leverage AI-driven insights and recommendations for more informed and proactive decision-making across all business functions

Chris Bennett, Chief Data Officer, VANGUARD

Shahidul Mannan, Chief Data Officer, MERCY HEALTH 

Jen Courant, Chief Data Officer, DWS GROUP

Moderator: DominoLabData

Var Shankar, Associate, Grail Lab, PURDUE UNIVERSITY

Andrew Patricio, Chief Digital and AI Officer, UNIDOSUS

•    What are some of the potential risks associated with generative AI and the need for robust ethical frameworks
•    Uncover how organizations can harness generative AI to generate novel ideas, prototypes, and insights, ultimately driving innovation and competitive advantage

Besa Bauta, Chief Information Officer, JEWISH BOARD 

Tarun Sood, Chief Data Officer, AMERICAN CENTURY INVESTMENT

Vishal Patel, Chief Data & Analytics Officer, WEBSTER BANK

Tamilla Triantoro, Director MS Business Analytics, QUINNIPIAC UNIVERSITY

Sanjaya Swamy, Director of ML Engineering, Card Tech Machine Learning, CAPITAL ONE

Representative from Pryon

•    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.

This session explores the implementation of generative AI copilots in enterprise environments, focusing on their potential to enhance productivity and innovation while addressing crucial aspects of data security and ethical AI us.

Jim Griffin, AI Practice Lead, Business Analytics Faculty UNIVERSITY OF TEXAS

•    Navigating your security and privacy obligations when using AI 
•    How to manage the risks of AI in a rapidly changing landscape in order to remain safe, but innovative 
•    How to keep bias out of data to ensure fair and ethical AI

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

•    What are the challenges of trust and transparency in the age of big data and AI
•    ethical considerations and responsible AI practices aimed at ensuring the ethical and responsible use of big data and AI technologies

Anusha Dandapani, Chief Data & AI Services Officer, UNICC

•    Discover best practices for ethical AI implementation, including responsible data collection, unbiased algorithm development, and transparent decision-making processes  
•    Understand the importance of cross-sector collaboration and partnership-building to maximize the impact of AI for good   

Farid Sheikhi, Manager, Business Intelligence & Digital Transformation, KFC CANADA

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

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

Cindi Howson, Chief Data Strategy Officer, THOUGHTSPOT

•    Highlight the importance of fostering a data-driven culture essential to deliver growth and value amid cultural barriers
•    Addressing resistance to change within a large organization, and the importance of looking to the future

Maksim Kravets, Executive Director, Strategy & Operations CVS HEALTH

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

Tonjia Coverdale, Senior Vice President, Chief Strategy Officer for Operations & Technology, ASSOCIATED BANK

•    Exploring the importance of accountability in driving data-driven initiatives and achieving business outcomes.
•    Strategies for defining clear goals, establishing performance metrics, and holding individuals and teams accountable for results

Justin Yu, Senior Director, Infrastructure & Insights, AUDIBLE, INC. (former)

Strategies for overcoming resistance and driving cultural change towards a data-centric organization, ensuring widespread adoption and engagement
Ian James, Head of Data Strategy, RIGHTHAND ROBOTICS, INC.

In this session, you will hear from some of the highest leaders, hear how they started in the sector and made their way up to be a Chief Data Officer.  You’ll have the opportunity to ask your burning questions, have robust discussions and gain insights into what makes a great leader and what the future of the CDO looks like. 

Chris Bennett, Chief Data Officer, VANGUARD

Jen Courant, Chief Data Officer, DWS GROUP

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

•    Exploring the intersection of data strategy, sustainability, and corporate social responsibility (CSR) and the role of organizations in addressing societal and environmental challenges.
•    Strategies for integrating sustainability and CSR principles into data strategy development, governance, and decision-making processes.

Besa Bauta, Chief Information Officer, JEWISH BOARD 

•    A roadmap for cultural transformation towards becoming a data-driven organization, from vision-setting to implementation and measurement
•    Practical guidance and real-world examples to navigate the complexities of cultural change and drive successful data initiatives

Ryan Simone, Vice President, Data Strategy, BETCHES MEDIA

•    Acknowledging the inevitability of resistance to change and what strategies are there for addressing resistance
•    The importance of defining a clear and compelling vision for the transformation, and how the benefits of a data-driven culture is aligned with the organizational goals 

Kevin Langford, Vice President & Chief Human Resources  Officer, EXPRESSJET AIRLINES

Tonjia Coverdale, Senior Vice President, Chief Strategy Officer for Operations & Technology, ASSOCIATED BANK

•    The role of leadership in guiding organizations through crises and leveraging data-driven insights to make informed decisions.
•    Case studies highlighting leadership strategies and best practices for crisis management, resilience-building, and strategic adaptation.

•    Discussing the role of data analytics in promoting diversity, equity, and inclusion (DEI) within organizations through data-driven hiring, promotion, and retention practices
•    Strategies for leveraging data insights to identify and address bias, promote representation, and foster inclusive cultures

Maggie Ward, Manager, Talent Ops Data & Reporting, NETFLIX

Kevin Langford, Vice President & Chief Human Resources  Officer, EXPRESSJET AIRLINES

Jennifer Mezzio, Global HR Data Officer, FIRST CITIZENS BANK

Cecilia Dones, Professor, COLUMBIA BUSINESS SCHOOL

•    What are privacy implications of emerging technologies such as artificial intelligence (AI), internet of things (IoT)
•    Insights into assessing privacy risks, implementing privacy-by-design principles, and leveraging emerging technologies to enhance data privacy and protection

Corey M. Dennis, Senior Director, Global Counsel, Information Security & Privacy, ELI LILLY AND COMPANY
Christopher Hart, Partner, Co-Chair, Privacy & Data Security Group, FOLEY HOAG LLP

So many of us are overwhelmed with this topic and have no idea how to approach, decipher, or execute governance principles. 
The "checkbox exercise" approach to the endless irrelevant controls hadn't left us any more secure! We spin within each audit cycle and dedicate hundreds of thousands of hours *and dollars* on activities within our organizations that may not even be necessary. 
Join us to understand how to mature your GRC posture without sacrificing your people or budget!

Karina Klever, Governance & Compliance Expert

Effectively managing the risks associated with deploying data and analytics strategies that utilize new AI functions, including generative AI, large language models, and predictive AI.

Reserved for Tricentis

•    Balancing Innovation with Privacy: How to innovate and leverage data-driven technologies while maintaining compliance with privacy regulations
•    Mitigating Risks: Identifying potential risks and challenges in data management and how to implement effective safeguards to prevent breaches and penalties
Rose Lally, Chief Information Security Officer, Vice President, Governance & Controls, ALTISOURCE

•    The use of predictive modeling techniques, such as machine learning algorithms, to assess and quantify risks
•    The integration of risk analytics with strategic decision-making processes, where data-driven insights are used to inform strategic initiatives, investments, and resource allocations

Thomas Shola, Chief Risk & Privacy Officer, NORTHERN BANK

•    Exploring the unique privacy challenges and compliance considerations associated with cloud computing environments.
•    Strategies for assessing cloud service providers' privacy and security controls, negotiating data protection agreements, and ensuring compliance with regulatory requirements

Rahil Parikh will review the vulnerabilities of AI models. He will discuss two privacy attacks aimed at extracting instances of the training data from a trained model. Subsequently, the session will explore measures to safeguard language models against these threats, ensuring a responsible and secure integration of large language models

•    The importance of privacy training and awareness programs in educating employees about privacy risks, obligations, and best practices
•    Developing comprehensive privacy training programs, raising awareness of privacy issues, and fostering a culture of privacy compliance within organizations
Christopher Hart, Partner, Co-Chair, Privacy & Data Security Group, FOLEY HOAG LLP

•    The concept of privacy by design and its importance in proactively addressing privacy concerns throughout the data lifecycle.
•    Strategies for integrating privacy principles into data architecture, system design, and product development processes to minimize privacy risks

Karina Klever, Governance & Compliance Expert

Alan Halfenger, Chief Compliance Officer, ARCTARIS IMPACT INVESTORS

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

Thomas Shola, Chief Risk & Privacy Officer, NORTHERN BANK