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8th Edition

Chief Data & Analytics Officers
Fall 2022

The Premier In-Person Gathering for Data & Analytics Leaders in North America

October 10 - 12, 2022
Westin Copley Place | Boston, MA
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AGENDA

  • Day Two - Main Conference & BoD Awards Gala
  • Day One - Financial Services Summit
  • Day One - Insurance Summit
  • Day One - Retail & CPG Summit
  • Day One - Healthcare Summit
  • Day Three - Talent, Data Value & Data Excellence
8:00 am

 

Registration & Networking Breakfast
8:30 am
Chairperson’s Opening Remarks
8:45 am
Opening Panel: Deliver Value From Data to Accelerate Growth in a Post-Covid Era
  • Take advantage of the disruptive force of change to drive data and AI innovation at scale and cope with fluctuations in global markets 
  • Respond faster to shifts in customer and employee values to accelerate data-driven product and business model innovations 
  • Incorporate trust and ethics across distributed systems, edge environments and emerging ecosystems to create a sustainable operating model 

Randy Bean

Moderated by: Randy Bean, Founder & CEO, New Vantage Partners  

Profile photo of Diana Hoskins Schildhouse

Diana Schildhouse, Chief Analytics and Insights Officer, Colgate Palmolive

Profile photo of Alex Golbin, CFA

Alex Golbin, Chief Data Officer, Morningstar

Profile photo of Linda Avery

Linda Avery, Chief Data Officer, Verizon

Andre Vives-1

Andres Vives, Enterprise Chief Data & Analytics Officer, TD Bank 

Profile photo of Lihua Yu

Lihua Yu, Chief Data Officer, Fog Pharma

9:45 am
Presentation: Sculpting Data for ML: A Data-Centric Approach to Curate Datasets from the Ground Up
  • In the contemporary world of Artificial Intelligence and Machine Learning, data is the new oil 
  • For Machine Learning algorithms to work their magic, it is imperative to lay a firm foundation with relevant data 
  • Sculpting Data for ML introduces Dataset Curation: practical tips to identify valuable information from the extensive amount of crude data available at our fingertips 
10:15 am
Presentation: Is Your Data a Liability or an Asset? Maximizing the ROI of Your Data Strategy

• Understand how successful organizations are treating data as a strategic asset
• Implement a purpose-driven data management strategy
• Transform your company and your operations by framing how you see and use your data

Ansar Kassim

Ansar Kassim, Head of Financial Analytics, Verizon

10:45 am
Networking Break
11:15 am
Presentation: Promote Data Citizenship Enterprise-Wide to Achieve Strategic Data-Driven Business Goals
  • From data as a job to data as a skill: dealing with the human elements of data across the enterprise 
  • Address the change-averse cultural roadblock and establish sustainable data literacy strategies 
  • Embrace the concept of “just-in-time” supply of key skills as talent becomes increasingly fluid 
  • Partnering with externals solutions to ensure the critical delivery of projects 
11:45 am
Presentation: Lead Data-Driven Transformation From the Ground Up to Sustain Competitive Advantage
• What does it really mean to have a data-driven culture, and what are the benefits for the business?
• Best practices for overcoming the data literacy roadblock
• How can data leaders partner with the business to champion cultural change?
• Build an enterprise-wide capability to generate innovative analytics-based work and scale best practices across the organization
• Modernize legacy systems and progressing the journey of cloud migration and advanced analytics
12:15 pm
Choose Your Track

A) Panel Discussion: Data & Marketing - Transforming Data Strategy to Enable Customer-Centricity in Analytics  

  • Develop a business-focused and value-driven data science function  
  • Aligning multiple and diverse data sources to build a holistic view of the customer and their behaviors  
  • Demonstrating the accuracy and value of data-driven insights to empower intelligent decision-making  
  • Experimenting and innovating with data-driven narratives 

Prachi Priya

Prachi Priya, Chief Data Officer, Team One 

Profile photo of Dan Wulin

Dan Wulin, Head of Data, Noom

Harleen Thethy

Harleen Thethy, Global Head, Data & on-Platform Distribution, BBC News

Avinash Tripathi-1

Avinash Tripathi, VP of Analytics, University of Phoenix

 

 

B) Panel Discussion: Post-Pandemic Recovery & Transformation – Promoting Sustainable Data Strategies for a Changed World 

  • Leaning on data to inform transformation strategy to stretch resources and avoid future disruptions to the workflow 
  • Establish KPI’s to determine the success of digital transformation strategy 
  • Deliver excellent customer journeys by revisiting processes and optimizing operational efficiency 

Ravi Parmeswar-1

Ravi Parmeswar, Chief Analytics Officer, Johnson & Johnson

Chun Schiros

Chun Schiros, SVP, Enterprise Data Science Group, Regions Bank

Brahma Tangella

Brahma Tangella, Head of Analytics, Data Science & Insights, Takeda 




12:55 pm
Networking Lunch
2:00 pm
Choose Your Track

Track A: Data Infrastructure, Data Governance, Data Protection & Privacy 

Breakout Presentation 1A: Move from Data-Rich to Data-Driven with a Holistic Approach to Architecture 

  • Build data architecture with AI at the forefront of your objectives to ensure long-term success 
  • Align your data strategy and architecture with organizational goals to deliver agility and value creation 
  • Establish relevant KPIs to ensure your data strategy is fit for purpose 

Cory Munchbach-1

Cory Munchbach, President, COO, BlueConic

 

Track B: Analytics, Insights, and Business Intelligence 

Breakout Presentation 1B: Leveraging Graph Neural Networks at Scale to Get Accurate Insights from Massive Data Sets 

  • Understand how organizations can benefit from high performance & unified graph computing platforms
  • Learn how organizations access untapped signals in their data by applying Graph Neural Networks
  • Generate millions of dollars in savings from fraud losses, AML investigation costs, and credit defaults

Greg Steck

Greg Steck, Solution Architect, Katana Graph 

 

 

Track CData Science, Artificial Intelligence & Machine Learning 

Breakout Presentation 1C: AI is changing the relationship between data and the business, as CDO/CDAO are you ready?

  • How to support the transition from decision support (charts and graphs) to decision automation (models)
  • Managing accountability for the Amplified Value and Amplified Risk of AI (AI Governance)
  • Scaling AI despite unprecedented operational complexity (AI Change Management)
  • How to embrace the CDO/CDAO responsibility as the Enterprise AI leader (AI Portfolio Management)

Stu Bailey

Stu Bailey, Co-Founder, ModelOp

2:35 pm
Choose Your Track

Case-Study 2A: Unlock Data Value by Infusing Agility in your Data Protection and Privacy Strategy 

  • Ensure data privacy and protection while providing the business with self-service data capabilities  
  • Increase data literacy through on-going internal education to empower stakeholders to make intelligent decisions 
  • Build robust frameworks to manage data access while ensuring the right person has the right data at the right time 

Kamal Distell, VP, Data Products & Portfolio, Toyota Lexus-1

Kamal Distell, VP, Data Products & Portfolio, Toyota Lexus

 

Case-Study 2B: Framing Analytics for Decision-Makers: Beyond Data Visualization & Storytelling 

  • Many analytics teams spend most of their time preparing, cleaning, and analyzing data, yet their stakeholders do not always take actions on the analysis 
  • Join this session to discuss best practices for data professionals to think about, do, and communicate analytics in ways that business leaders find compelling 
  • Elevate the value of data work and secure buy-in with effective data communication 

Nikolas Acheson

Nikolas Acheson, Sr Director, Enterprise Data Strategy, NAV

 

 

Case-Study 2C: The Next Frontier - Advancing Digital Transformation with Pragmatic AI 

  • AI: the hype versus the reality and its pragmatic role in business with a brief history of AI 
  • The strong dependence of successful AI on the right data 
  • How can leaders demystify AI and employ it at scale to advance modernization? Lessons learned from making AI work in the enterprise 
  • Embracing human intervention to solve real problems in real settings to advance the science and practice of AI 

Usama-Fayyad

Usama Fayyad, Executive Director, Institute for Experiential AI, Northeastern University

3:05 pm
Networking Break
3:40 pm
Choose Your Track

Strategy Session 3A: Value Delivery Through Effective Data Governance

• Putting data in context of business strategy and value by identifying the data components of business initiatives along with the technology and specific skills they require
• Applying a data governance framework that enables speed, scale and trust
• Developing data services to address business demand and data products for communities to consume
• Implementing data activities, controls and measures as part of foundational services, business-as-usual, strategic projects and innovation

Anwar Mirza

Anwar Mirza, Head of Data Strategy & Governance, FedEx Express 

Strategy Session 3B: Self-Service vs Augmented Analytics – Which One is Better, or How Can They Work Together?  

  • What is the best way to empower data users to create, consume and operationalize data-driven insights? 
  • Better managing data resources with the help of embedded self-service analytics and insights  
  • Establishing a consumer-grade AI technology to deliver self-service   
  • Integrating data apps with your existing cloud ecosystem to speed up data search from cloud sources

Suresh Kandula

Suresh Kandula, Chief Technology Officer, Ford Motor Company

Gunjan Aggarwal

Gunjan Aggarwal, Head, Digital Data Products and Martech Strategy, Novartis 

Michael Collins

Michael Collins, Lead Director, Data Science, CVS Health

Jake Katz

Jake Katz, Head of Non-Agency RMBS Research & Data Science, Yield Book, An LSEG Business

 

Strategy Session 3C: AI Transformation – Increasing Adoption Enterprise-Wide to Impact the Bottom Line 

  • Proving the real value of initiatives as fast as the business expect  
  • Is there a right balance between the emphasis on AI tools, technologies and models, vs ensuring teams spend enough time on measuring incremental value of AI projects?  
  • Balancing short-term wins with long-term success  
  • Key steps towards addressing and improving return on investment 

h202-1

Senior Representative, H2O.ai 

Haroon Abbu-Sep-28-2021-04-27-44-55-PM

Haroon Abbu, VP, Data & Analytics, Bell & Howell

Aaron Doherty

Aaron Doherty, VP, Analytics, Wagmo Business

4:25 pm
Choose Your Track

Strategy Session 4A: Data Fabrics & Data Mesh: Innovating Data Architecture to Drive Customer Value at Scale 

  • The most common challenges in the journey to implement a next gen data architecture and how to overcome them  
  • Evaluate your organization’s maturity level and the benefits of moving from a data lakehouse to a data fabrics to a data mesh architecture  
  • Generate sustainable value with industry-leading data products, insights and expertise  
  • Democratize data, data-enabled innovations, and a world-class data stack to drive business value  

Profile photo of Lei Cheng

Lei Cheng, Lead Data Scientist, Blue Cross Blue Shield of Rhode Island

Khanh Chau

Khanh Chau, Enterprise Data Architect, Grainger

 

Strategy Session 4B: Automated Insights - Empower Business Users to Make Data-Driven Decisions When and How They Need Them  

  • Empower data users to create, consume and operationalize data-driven insights 
  • Establish consumer-grade AI technology to deliver self-service  
  • Integrate data apps with your existing cloud ecosystem to speed up data search from cloud sources 

Ittai Bareket

Ittai Bareket, North America General Manager, Sqream

Nakul Vyas
Nakul Vyas, Head of Data, Analytics & Digital Innovation, Arcutis Biotherapeutics

Vijay Venkatesan

Vijay Venkatesan, Chief Analytics Officer, Blue Cross Blue Shield New Jersey

Luis Velandia
Luis Velandia, Chief Data Officer, Best Doctors Insurance



Strategy Session 4C: Privacy and AI – Reconciling AI’s Hunger for All Data with the Human Right to Privacy  

  • AI’s ‘hunger’ for large data sets is in direct tension with current privacy legislation and culture, which limits both the potential for sharing data sets and the scope of automated decision-making  
  • There is widespread agreement that ethics is important, but a lack of consensus on how it should be enforced 
  • What are organizations doing to identify and mitigate ethical risks while AI is being designed and developed? 
  • Share successes and challenge in your journey to implement trustworthy AI 

Michelle Bonat
Michelle Bonat, Chief Technology Officer, JP Morgan Chase

Beverly Wright

Beverly Wright, Head, Data Science Solutions, Burtch Works

5:10 pm
Intermission
6:30 pm
*CDAO FALL Presents: Business of Data Awards – A Black Tie Gala*

Welcome Cocktail Reception  

Dinner & Awards-Gala  

8:00 am
Registration & Open Networking

 

8:50 am
Chairperson’s Opening Remarks

Senior Representative, Informatica 

9:00 am
Panel Discussion: The CDAO Mandate: Delivering Business Value from Data Investments
  • Making the right data investments to expand value creation 
  • Nurturing business partnerships to deliver insights at the speed of business 
  • Establishing data strategy and direction your company 
  • Becoming an expert in change management and data communication to secure buy-in and infuse data into the organizational DNA 

Randy Bean

Moderated by: Randy Bean, CEO & Founder, NewVantage Partners 

Eric Hirschhorn, Chief Data Officer, BNY Mellon-1

Eric Hirschhorn, Chief Data Officer, BNY Mellon

Jennifer Curtiss

Jennifer Curtis, US Chief Data Officer, Scotia Bank

Dave Keirstead

Dave Keirstead, Chief Data & Analytics Officer, Sun Life Canada

Pascale Hutz

Pascale Hutz, Chief Data Officer and EVP, American Express

9:50 am
Presentation: Data Mesh and Data Fabric – Without the Hot Air
  • There is a massive level of hype around data fabric and data mesh right now, which is driving huge levels of confusion in the market
  • We’ll cut through the jargon to understand what they are, what they can do, and why you should care
  • We’ll also look at the intersection between mesh, fabrics, data lakes, and data warehouses, and propose how these can be combined to produce business outcomes that are greater than the sum of the parts

Mark Cusack

Mark Cusack, Chief Technology Officer, Yellowbrick

10:20 am
Networking Break
10:50 am
Panel: Build a High-Performing Data Analytics Team in Financial Services
  • Figure out the right balance between human capital, infrastructure, skills, tools, organizational models, and processes to enable data-driven decision making at scale 
  • Discuss the skills needed in every successful data team  
  • Explore the best organizational models for data mature organizations  

 

Serena H. Huang

Moderated by: Serena Huang, Global Head of People Analytics, Visualization & HR Technology, PayPal 

Steve-Boras-Citizens-Bank

Stephen Boras, EVP, Head of Model Risk Management & Validation, Citizens Bank 

Nirmal Sugumar

Nirmal Sugumar, SVP, Customer Science & Analytics, M&T Bank

Robert Iomazzo

Robert Iomazzo, Co-Founder & Managing Partner, SEBA 

Zachary Binkley

Zachary Binkley, VP, Risk & Analytics, Perpay

11:35 am
Presentation: Open Banking and AI: Leverage Consumer Data for Financial Empowerment
  • Why Open Banking is a crucial technology for FinTechs and Banks
  • How does it provide more power to the digital native consumer?
  • What are the key data assets that Open Banking provides?
  • Hear about the application of AI in Open Banking - Scoring, NLP, and Computer vision use cases

Natesh Arunachalam

Natesh Arunachalam, Lead Data Scientist, Finicity - a Mastercard Company

12:05 pm
Lunch & Networking
1:05 pm
Panel: Protecting Data and Mitigating Risk While Creating Value for the Business
  • Manage data quality across risk measures  
  • How to best control analytics to detect and prevent fraud from occurring  
  • Maximize the value of data as an asset - better customer understanding and relationships 
     

Jonathan Paul pic

Jonathan Paul, VP, Director, IT Governance, 53 Bank

Latha Govada

Latha Govada, Director, Data Engineering & Consumption, Capital One  

Starburst

Senior Representative, Starburst

1:45 pm
Presentation: Delivering Customer 360 UX Faster via a Modern Digital Integration Hub in Financial Services

• How quickly can your organization react to new market changes in your digital business model?
• If you still rely on traditional API-based development approaches to build digital applications – this session is for you.
• We will introduce the concept of Digital Integration Hub (DIH) and event-driven architecture, sharing use cases of leading Banking and Financial Services institutions that already use it to achieve faster speed, scale, and agility in deploying new digital services.
• Join this session and learn why Gartner has positioned DIH as the new emerging architecture to address the complexity of traditional request-based approaches.

Kevin Mergruen
Kevin Mergruen, SVP Sales, Americas, GigaSpaces

2:15 pm
Networking Break
2:45 pm
Panel: Accelerate Customer-Centric Transformation Powered by Data & AI
  • Leverage advanced insights to understand customers’ needs, attitudes and behaviors  
  • Build a customer-centric data strategy to create a seamless, frictionless and connected experience 
  • Align data and AI initiatives with CX priorities 
  • Create an agile architecture to scale and improve customer experiences 

Andrea Stefanucci, Executive Director, Artificial Intelligence Lab, JP Morgan Chase 

Andrea Stefanucci, Executive Director, Artificial Intelligence Lab, JP Morgan Chase 

Dennis Mackey, Managing Director, Global Investment Operations, State Street

Dennis Mackey, Managing Director, Global Investment Operations, State Street

Nirmal Sugumar

Nirmal Sugumar, SVP, Customer Science & Analytics, M&T Bank

Jake Katz-1

Jake Katz, Head of Non-Agency RMBS Research & Data Science, Yield Book, An LSEG Business

3:25 pm
Presentation: Building Analytics Career Paths in a Hybrid World
Serena H. Huang

Serena Huang, Global Head of People Analytics, Visualization & HR Technology, PayPal  

 

3:55 pm
Choose Your Track

Session A:

Infusing a Data-Driven Culture in Legacy Organizations

Juan-230x230

Juan Gorricho, VP, Global Data, Chief Data Officer Organization, Visa    

Natesh Arunachalam

Natesh Arunachalam, Lead Data Scientist, Finicity

 

Session B:

Emerging ML/AI Innovations from FinTech  to Drive Competitive Advantage 

Ken Ho-1

Ken Ho, Chief Analytics Officer, Synovus Bank 

Dan Power State Street

Dan Power, Managing Director, Data Governance, State Street 

Zachary Binkley

Zachary Binkley, VP, Risk & Analytics, Perpay

5:00 pm
Women in Data & AI – Networking Reception
6:30 pm
Private Event
8:00 am
Registration & Networking Breakfast
8:50 am
Chairperson’s Opening Remarks
9:00 am
Panel: Transform Customer Experience with Data, Analytics and AI to Increase Value
  • Customer interactions and expectations have dramatically changed – how can data analytics better predict behaviors and help the business thrive in this new era? 
  • Customize, personalize and tailor your products and experiences in meaningful ways 
  • Balancing the need to support agile short-term business goals with long-term strategy 
  • What tech stack and tools are the most impactful for this new environment in insurance? 

Srinivasan Sankar

Srini Sankar, Enterprise Data & Analytics Leader, Hanover 

Asif Syed-1

Asif Syed, VP, Data Strategy, Hartford Steam Boiler 

Joe V

Joe Vellaiparambil, Chief Data and Analytics Officer, AXA 

Profile photo of Bobbi Jo Allan

Bobbi Jo Allan, VP, NF Digital Product Management and Innovation, Nationwide

9:50 am
Keynote: Accelerate Insurance Transformation in a Post-Covid Environment
  • Discover best practices on how to continue the rapid digital transformation ignited by the pandemic  
  • Integrate new technologies, gain organizational support and buy-in, and promote companywide education 
  • Hear about lessons learned and best practices for going from legacy systems to a next-gen data architecture 
10:20 am
Networking Break
10:50 am
Panel: Emerging Trends in the Insurance Industry and How to Leverage them for Business Growth
  • What are Insurance business trends and major changes impacting the industry 
  • Discuss the impact of new tech: from self-driving cars, usage-based insurance, quantum computing, crypto, to NFT and blockchain  
  • What are some of the InsureTech disruptions and can they be integrated into the insurance value chain? 
  • Discuss how the insurance industry may look 5 or 10 years from now and what your organization can do now to prepare 

Asif Syed-1

Moderator: Asif Syed, VP, Data Strategy, Hartford Steam Boiler 

Bobbi Jo Allan

Bobbi Jo Allan, VP, NF Digital Product Management and Innovation, Nationwide

Michael He

Michael He, VP Digital Distribution & Sales Strategy, Allstate

11:35 am
Case-Study: Scaling Data Science and Driving Enterprise-Wide Adoption at New York Life
  • New York Life’s centralized data science team rapidly expanded and operated at scale within 5 years.  
  • The active data science community and education program helped to make data science an important function at New York Life.  
  • Rita Fuller will describe some of the activities that were milestones in this journey of making data science among the vernacular at New York Life.
     
RitaFuller

Rita Fuller, Corporate VP, Center for Data Science and Artificial Intelligence, New York Life

12:05 pm
Lunch & Networking
1:05 pm
Panel: Navigating the “Great Resignation” – Best Practices in Talent Acquisition and Retention
  • Focus on the employee experience and create compelling career paths and enhancing employee experience to aid retention 
  • Create a culture of collaboration with tools to facilitate communication 
  • Tap into diverse talent pools – external networks for recruitment, project-based boot camps 
  • Leverage mobility opportunities 
  • Identify and nurture internal talent  

Srinivasan Sankar

Srini Sankar, Enterprise Data & Analytics Leader, Hanover 

Christine Greenleaf

Christine Greenleaf, Director of Underwriting Analytics, Brighthouse Financial 

Sherman Cooper

Sherman Cooper, Managing Director, Big Data & Data Science Platform, Marsh 

1:45 pm
Presentation: Balancing the Speed of Data Technology with Regulations in Insurance to Deliver Sustainable Value
  • Best practices to ensure data privacy and protection while providing the business with self-service data capabilities  
  • Increasing data literacy through on-going internal education to empower stakeholders to make intelligent decisions 
  • Building robust frameworks to manage data access while ensuring the right person has the right data at the right time 
2:15 pm
Networking Break
2:45 pm
Panel: Infusing a Data-Driven Culture in Insurance Companies to Accelerate Growth & Innovation
  • What does it really mean to have a data-driven culture, and what are the benefits for the business? 
  • Best practices for overcoming the data literacy roadblock  
  • How can data leaders partner with the business to champion cultural change? 
  • Building an enterprise-wide capability to generate innovative analytics-based work and scale best practices across the organization 
  • Modernizing legacy systems and progressing the journey of cloud migration and advanced analytics 

Profile photo of Xu C.

Xu Cheng, Head of Business Intelligence & Insights, Ascot Group

Profile photo of Allen Thompson

Allen Thompson, VP, Data & Analytics, Hanover

John Adamo

John Adamo, VP, Chief Product Officer, Master Data Management, Prudential

Allison Westbrook

Allison Westbrook, Director of Data Strategy & Delivery, Lincoln Financial

3:25 pm
Presentation: How Data Mesh and Data Fabric Can Innovate Insurance Operations
  • Generate sustainable value with industry-leading data products, insights and expertise 
  • Increase efficiency by giving data product teams with end-to-end responsibility in a data mesh architecture 
  • What’s next?: democratizing data, data-enabled innovations, and a world-class data stack to win customers’ hearts, minds and loyalty 
3:55 pm
Choose Your Track:

Session A:

Data Quality and Beyond: Making the Best Use of “Good-Enough” Data 

Louis DiModugno

Louis DiModugno, Chief Data Officer, Hartford Steam Boiler  

Michael He

Michael He, VP Digital Distribution & Sales Strategy, Allstate

Kevin Nickerson

Kevin Nickerson, AVP, Analytics & Sales Enablement, Chubb

Session B:

Addressing Bias & Fairness in the Use of Data & AI Models : Data Visualization 

Tom Fletcher

Tom Fletcher, VP, Data Analytics - North America Life, PartnerRE

Sherman Cooper

Sherman Cooper, Managing Director, Big Data & Data Science Platform, Marsh

5:00 pm
Women in Data & AI – Networking Reception
6:30 pm
Private Event
8:00 am

 

Registration & Networking Breakfast
8:50 am
Chairperson’s Opening Remarks

Senior Representative, Informatica 

9:00 am
Opening Panel: Marketing and Data - Collaborating Towards a Data-Driven, Customer-Centric Organization
  • Leverage advanced insights to understand customers’ needs, attitudes and behaviors   
  • Build a customer-centric data strategy to create a seamless, frictionless and connected experience  
  • Align data and AI initiatives with CX priorities  
  • Integrate social listening into product and marketing development 

Profile photo of Anu Sundaram

Anu Sundaram, VP, Business Analytics, Rue Gilt Groupe

Yang Gao, Head of Analytics Products & Platform, Demand, Marketing, UX, E-commerce, Mars Food

Yang Gao, Head of Analytics Products & Platform, Demand, Marketing, UX, E-commerce, Mars Food

Daniel Gardner

Daniel Gardner, Analytics Manager, North America, Social Intelligence Lead, Haleon 

Ishita-1

Ishita Majumdar, VP, Data Analytics, eBay 

9:50 am
Presentation: Minimize the Mundane, Maximize the Science with Simplified Customer Data Integrations
  • Centralize data from brick & mortar, digital, and call centers to be truly customer-centric
  • Maintain control of data models while enabling cross-functional teams to use model outputs in real-time
  • Choose the right technology partner to create agile processes for both data scientists and marketers alike

Khurram Moiz-2

Khurram Moiz, Lead Principal – Retail Customer Success, BlueConic

10:20 am
Networking Break
10:50 am
Panel: Assessing the Business Impact of Data to Increase Value
  • Integrate data & analytics into planning and decision-making processes 
  • Make data available at the right time to the right people 
  • Drive adoption and acceptance amongst business users 
Profile photo of Patrick McGraw

Patrick McGraw, Director, Global Analytics Integration, Colgate Palmolive 

11:35 am
Keynote: Creating a Next-Gen Experience: Leverage Data & AI to Innovate Digital Programs Across Touch-Points
  • How can a CDAO and Head of digital drive continued growth of  digital platforms and connect all elements of operational technology with data strategy? 
  • Partner to design an architecture that best supports agile decision-making enterprise-wide 
  • Lay the technology foundation to enable machine learning, artificial intelligence, and edge computing
Lakshmanan Meyyappan  

Lakshmanan Meyyappan, Executive Director Enterprise Data Science & Algorithms, CVS Health 

CVS_Health_logo

Head of Digital Analytics, CVS Health 

12:05 pm
Lunch & Networking
1:05 pm
Case-Study: Leverage Data Science to Enhance Demand Forecasting in Post-Covid Times
  • Hello Fresh grew exponentially world-wide during the pandemic even while facing challenges in product supply that are now commonplace in many industries  
  • Aleks will present a comparative case-study between Hello Fresh and a CPG company’s approaches and results achieved 
  • Hear best practices on connecting front-end functions with data 
  • Learn to leverage key metrics to determine the optimal structure and aggregation of demand 
Aleksandar Lazaveric

Aleksandar Lazaveric, VP Analytics, Hello Fresh

1:45 pm
Presentation: AI Transformation – Increasing Sales and Customer Retention to Impact the Bottom Line
  • Overcome barriers to increase data integration and data visibility 
  • Leverage automation and machine learning to turn real-time data into actionable insights 
  • Deploy data science to innovate products, improve customer experience, and uncover new business opportunities
tellius-logo1000px-1
Senior Representative, Tellius
2:15 pm
Networking Break
2:45 pm
Panel: Reimagine Data Teams to Succeed Through Challenges of a Post-Pandemic Economy
  • Learn successful approaches to acquiring and keeping talent on data and analytics teams  
  • Uncover ways to keep teams motivated and at their highest performance 
  • Discover how to best partner with external and internal organizations to tap into diverse talent pools 
  • Explore the ideal team make-up according to your organization’s data maturity and roadmap 

Profile photo of Cecilia Dones

Cecilia Dones, Head of Data Science, Moet Henessy

Ravi Parmeswar-1

Ravi Parmeswar, Chief Analytics Officer, Johnson & Johnson

Profile photo of Mayur Rustagi

Mayur Rustagi, Chief Technology Officer, Sigmoid

3:25 pm
Presentation: Data Governance: The New Business Imperative
  • Embed data into strategy and business roadmaps
  • Deploy operating models to make data work effectively
  • Dive into how business and data culture affects complexity
  • Use data governance as a key value enabler and guide

anwar-230x230

Anwar Mirza, Head of Data Strategy & Governance, FedEx Express 

3:55 pm
Choose Your Track:

Session A:

Championing a Data-Driven Culture to Future-Proof the Enterprise  

Sean MacCarthy

Sean MacCarthy, VP, Analytics, Good Sam

Sean Bouskila

Sean Bouskila, Revenue & Strategy, Illumex

Session B:

Leveraging Predictive Analytics for Pricing - Pitfalls to Avoid and Elements of Success 

Vijay Gandapodi, Head of Data, Reporting, Analytics, Reynolds American

Vijay Gandapodi, Head of Data, Reporting, Analytics, Reynold's American

5:00 pm
Women in Data & AI – Networking Reception
6:30 pm
Private Event
8:00 am

 

Registration & Networking Breakfast
8:50 am
Chairperson’s Opening Remarks

Senior Representative, Informatica 

9:00 am
Panel: Championing a Data-Driven Healthcare Organization – Challenges and Successes
  • Discuss how to leverage data to maximize  limited resources and improve clinical outcomes 
  • Learn ways to overcome common roadblocks such as lack of leadership or widespread data access 
  • Best practices to invest in once source of data truth 
  • Explore ways to promote systemwide data literacy while enforcing strong data privacy and security 

Sahidul Mannan, Chief Data Officer, Bon Secours Mercy Health-1

Shahidul Mannan, Chief Data Officer, Bon Secours Mercy Health

Christopher J Hutchins, Chief Data & Analytics Officer, Northwell Health System 

Christopher J Hutchins, Chief Data & Analytics Officer, Northwell Health System 

Varun Gupta

Varun Gupta, VP, Enterprise Data & Analytics, Beth Israel Lahey Health

Joshua Merrill

Joshua Merrill, Manager, Data Delivery & Analytics, Boston Children's Hospital 

9:50 am
Keynote: Healthcare Transformation - Integrate Patient Data to Innovate the Patient Journey
  • Leveraging advanced insights to understand patients health needs, risk, and behaviors  
  • Building a patient-centric data strategy to create a seamless, frictionless and connected experience 
  • Aligning data and AI initiatives with patient experience priorities 
  • Creating an agile architecture to scale and improve patient outcomes 
10:20 am
Networking Break
10:50 am
Panel: Human-Centric Data & Analytics -Equipping Clinicians with Relevant Insights to Improve Patient Outcomes
  • Empowering clinicians to create, consume and operationalize data-driven insights
  • Establishing a consumer-grade AI technology to deliver self-service
  • Integrate data apps with your existing cloud ecosystem to speed up data search from cloud sources

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Kaycee Lai, CEO, Promethium

Profile photo of Rahul Kashyap, MBBS, MBA

Rahul Kashyap, Medical Director Research, WellSpan Health

Bob Darin, Former Chief Data and Analytics Officer, CVS Health 

Profile photo of Onyinye Enyia Daniel, PhD

Onyinye Daniel, VP, Data & Analytics Strategy, Highmark Health 

11:35 am
Case-Study: Virtual Care – Leveraging Human-Centred Design and Data to Address Behavioral Health Conditions
  • Discover how to pair human-centered design with data to address today’s complex healthcare challenges  
  • Find out how to implement technology-driven personalized solutions that improve patient outcomes 
  • Strategically deploy virtual care initiatives that will drastically impact population health 
Patrick Carroll, Chief Medical Officer, Vida Health

Patrick Carroll, Chief Medical Officer, Vida Health

12:05 pm
Lunch & Networking
1:05 pm
Presentation: Self-Service Analytics for Digitization and Innovation in Healthcare
  • Strategize for and approach self-service analytics
  • Enable data democratization and data science-driven innovation via platform and automation
  • Enhance collaboration with self-service analytics and product development through MLOps and DevOps

Shahidul Mannan

Shahidul Mannan, Chief Data Officer, Bon Secours Mercy Health 

1:45 pm
Presentation: Leverage Predictive Analytics to Manage Health Risk, Increase Care Quality, and Decrease Costs
  • Lay the foundation to deploy effective and unbiased predictive models 
  • Overcome key roadblocks in the journey to adopt and scale AI strategies 
  • Hear successful use cases of predictive analytics used to improve care, accelerate diagnosis, encourage early intervention, and more 
2:15 pm
Networking Break
2:45 pm
Presentation: Leveraging Predictive Analytics to Address Talent Shortages and Achieve Operational Efficiency
• Workforce planning: Where people analytics moves from assessing the past to predicting the future
• The coalition: Partnerships, strategy, technology, and information
• Hiring to predicted vacancies and the bottom line: The business case that brings finance partners to the table
• Evolving from short term impact to long-term strategy: Impacting the supply and demand economics of people in the healthcare workforce
 
Elizabeth Jurcik
Elizabeth Jurcik, System Director of Workforce Planning, CommonSpirit Health 
3:05 pm
Presentation: Exascale Causal AI Computing for the Biomedical Sciences
  •  While recent advances in high-throughput genomic sequencing technologies coupled with exponential increases in computer processing and memory now allow us to superficially interrogate the complex molecular underpinnings of cellular behavior from a genome-wide perspective, we are still far from fully realizing the causal nature of human disease.
  • Therefore, the analysis of high-dimensional, multimodal data with novel exascale causal AI/SciML computing strategies from robust drug target discovery to assessment of drug efficacy in clinical drug trials holds unprecedented potential to transform the healthcare and pharmaceutical industries by enabling the development of more efficacious medicines

Tom Chittenden

Tom Chittenden, Chief Scientific Officer & President of R&D, Bio-AI Health

3:25 pm
Case-study: Creating Metrics that Matter to Drive Adoption and Culture Change
  • Discover key quality and performance metrics to prevent negative outcomes and maximize cost effectiveness
  • Enhance decision-making and drive operational efficiency
  • Ensure teams continue to set data-driven goals
  • Partner with internal stakeholders to establish effective data fluency initiatives

Steve Stepp

Steve Stepp, VP Analytics, Catholic Health Services

3:55 pm
Choose Your Track

Session A:

Building High-Performing Data & Analytics Teams  

Session B:

Data for Good: Leveraging Insights to Promote Health Equity and Advance Health Outcomes 

Profile photo of Rahul Kashyap, MBBS, MBA

Rahul Kashyap, Medical Director Research, WellSpan Health 

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Beverly Wright, Head, Data Science Solutions Head, Data Science Solutions, Burtch Works 

5:00 pm
Women in Data & AI – Networking Reception
6:30 pm
Private Dinner
8:30 am

 

Registration & Networking Breakfast
9:15 am
Chaiperson’s Opening Remarks
9:20 am
Presentation: Data Visionaries - Creating a Scalable Data Strategy to Deliver Maximum Value From Data

• Accelerate the key competencies in building a data-driven business for agility and scalability
• Articulate data strategy effectively tied to business objectives to secure buy-in
• Build a solid foundation with data governance, privacy, and security
• Democratize data and insights across the enterprise

Deepna Devkar

Deepna Devkar, VP, Machine Learning & Data Platform, CNN 

9:50 am
Presentation: Future-Proof your Workforce: Upskilling and Reskilling Emerging Talent

• In a world that offers a lot more flexibility, what working and learning models work best for current employees but also help you retain and attract talent?
• Train internally to fill the gap in technical knowledge and leadership skills
• Invest in learning, development, and training to thrive in a rapidly evolving world of work

wiley

Senior Representative, Wiley Edge

10:20 am
Networking Break
10:50 am
Panel Discussion: The Optimal Team Make-up: What is the Talent Set that Every Data & Analytics Leader Should Have, and How To Get Them
  • What profile and skillsets do you truly need and how do you combine them to optimize performance?   
  • How are data analytics leaders dealing with the great resignation, or the great re-shuffle? 
  • Identify, upskill and retain internal talent; how to create compelling career paths  
  • Tapping into collaboration networks – externally, for recruitment and project-based initiatives, and internally, to leverage mobility opportunities 
  • Nurturing diverse internal talent that could be interested in moving to data analytics roles

Asha Saxena

Moderated by: Asha Saxena, CEO & Founder, Women Leaders in Data & AI

 Prachi Priya

Prachi Priya, Chief Data Officer, Team One

Vijay Venkatesan

Vijay Venkatesan, Chief Analytics Officer, Blue Cross Blue Shield New Jersey

 Gunjan Aggarwal
Gunjan Aggarwal, Head, Digital Data Products and Martech Strategy, Novartis 

Ram Singh

Ram Singh, Former Chief Analytics Officer, Performics 

 


 

11:30 am
Presentation: Pathways to a Diverse & Resilient Workforce in Analytics and AI

Organizations that are successful in analytics and AI not only have the top talent, but also have a diverse and creative workforce. As competition for talent in the space continues to increase due to remote work, shortage of skills, and high demand, leaders must address four key areas to stay competitive. Sadie will review the key areas for a resilient workforce strategy and give you an action plan you can implement today. Join this keynote to explore:

• The current state of diversity and talent in analytics and AI
• Attracting the right talent to stay competitive
• Fostering and developing diverse analytics talent in your organization
• Ensuring you have an action plan for immediate implementation

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Sadie St. Lawrence, Founder & CEO, Women in Data

 

12:00 pm
Networking Lunch

Meet with Graduate Students from Some of Top Institutions in Boston for Mentoring and Q&A

1:00 pm
Panel: Emerging Leaders - Forging your Unique Path to Data Leadership

This discussion session will focus on discussing how new and emerging data talent can accelerate their unique path to leadership and deliver real business value in the process: 

  • What are the most common challenges you face in the journey to advance your data leadership? 
  • What’s expected from data leaders from a business stand-point and how you can you best prepare yourself to step up 
  • Assessing personal skill gaps for diverse career paths 

Asha Saxena

Moderated by: Asha Saxena, CEO & Founder, Women Leaders in Data & AI

Chandra Donelson - U.S. Dept. of the Army

Chandra Donelson, Deputy Chief Data Officer, G2 - US Army

Randall Gordon, SVP, Global Data Governance Risk Officer, Citi
Randall Gordon, Head of Data Governance, Cross River Bank 

Kiran Kodali
Kiran Kodali, Global Data Strategy & Governance Lead, Sanofi

1:40 pm
Closing Panel: BoD Awards – A Chat with the Finalists

Wrapping up CDAO FALL 2022 in great style, we’ll hear first-hand from some of the finalists of the BoD awards on their challenges and success in the journey to data excellence

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Ishita Majumdar, VP, Data Analytics, eBay

Wendy Zhang
Wendy Zhang, Global Head of Data & Analytics, CSL Behring

2:30 pm
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3:30 pm
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