CDAO Fall October 10th, 2022

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Attend the premier conference for data & analytics leaders in North America – Chief Data & Analytics Officers, Fall on October 10-12, 2022 in Boston, MA. New this year is a personalized learning and networking track for data & analytics executives serving the Financial Services industry. Join your peers who understand your challenges and celebrate your successes when it comes to the nuanced intricacies of data & analytics. Qualified data & analytics folks can attend at no cost with a VIP pass.

Top 10 speakers:

  • Andre Vives - Enterprise Chief Data & Analytics Officer at TD Bank
  • Michelle Bonat - Chief Technology Officer at JP Morgan Chase
  • Ken Ho - Chief Analytics Officer at Synovus Bank
  • Juan Gorricho - VP, Global Data, Chief Data Officer Organization at Visa
  • Serena Huang - Global Head of People Analytics, Visualization & HR Technology at Paypal
  • Rita Fuller - Corporate VP, Center for Data Science and Artificial Intelligence at New York Life Insurance Company
  • Nirmal Sugumar - SVP, Customer Science & Analytics at M&T Bank
  • Allison Westbrook - Director of Data Strategy & Delivery at Lincoln Financial
  • Asha Saxena - Founder & CEO at Women Leaders in Data & AI
  • Randall Gordon - SVP, Global Data Governance Risk Officer at Citi

Agenda:

Day 1:

Day 1 - Financial Services Summit

  • 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 for your company Becoming an expert in change management and data communication to secure buy-in and infuse data into the organizational DNA
  • 9:40 am - Keynote: Banking 4.0 – A Data Powered Digital Revolution: Are you Prepared? Find out how traditional banks are re-organizing their operations around data intelligence, platforms, and ecosystems Accelerate the adoption of new digital technologies to turn the possible into the practical Overcome common challenges to establish a experience-driven, platform-based banking and reach customers where and when they need it
    Discover best practices to partner with FinTechs and innovate at speeds and scale
  • 10:10 am - Networking Break & Business Meetings
  • 10:45 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 
  • 11:35 am - Presentation: Take Digital Transformation to the Next Level with Data Fabrics and Modern Data Management The increased adoption of hybrid cloud environments has added layers of complexity and cost to data management Intelligent data fabrics can revolutionize data management and the integration of multiple data sources Other benefits of intelligent data fabrics: from faster access via self-service and risk mitigation to automating operations How to progress the journey to a successful data fabric implementation to manage data collection, governance, integration, and sharing
  • 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 
  • 1:45 pm - Presentation: Modernize Your Data Architecture to Innovate Digital Services at the Speed of Business Meet regulatory requirements while securing data agility Deliver great digital applications for excellent customer experiences Learn to make informed business decisions based on accurate analytics
  • 2:15 pm - Lunch & Networking
  • 2:25 pm - Presentation: Modern Data Governance: Stay Ahead in a Changing Regulatory Environment and Deliver Long-Term Value What are the benefits Financial Services organizations can gain from modernizing data governance? Best practices to shift from a defensive data management stance to a strategic and business focused approach Accelerate data trust and consumption with high-quality data
  • 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
  • 3:00 pm - Networking Break & Business Meetings
  • 4:00 pm - Choose Your Track Session A: Infusing a Data-Driven Culture in Legacy Organizations Session B: Emerging ML/AI Innovations from FinTech to Drive Competitive Advantage
  • 5:00 pm - Women in Data & AI – Networking Reception
  • 6:30 pm - Private Event

Day One - Insurance Summit

  • 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?
  • 9:40 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
  • 10:10 am - Networking Break & Business Meetings
  • 10:45 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
  • 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.
  • 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
  • 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 - Lunch & Networking
  • 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
  • 2:25 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
  • 3:00 pm - Networking Break & Business Meetings
  • 4:00 pm - Choose Your Track: Session A: Data Quality and Beyond: Making the Best Use of “Good-Enough” Data Session B: Addressing Bias & Fairness in the Use of Data & AI Models: Data Visualization
  • 5:00 pm - Women in Data & AI – Networking Reception
  • 6:30 pm - Private Event

Day One - Retail & CPG Summit

  • 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
  • 9:40 am - Presentation: Increase Operational Efficiency with Data Integration to Boost Business Value Align data strategy with business strategy; creating a centralized data analytics function to work with multiple business partners Choose the right technology partner to integrate data across systems and enable holistic insights
    Modernizing legacy infrastructures with hybrid cloud data platform
  • 10:10 am - Networking Break & Business Meetings
  • 10:45 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 *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
  • 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
  • 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
  • 2:15 pm - Lunch & Networking
  • 2:25 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
  • 2:45 pm - Panel: Reimagine Data Teams to Succeed Through the Great Resignation 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
  • 3:00 pm - Networking Break & Business Meetings
  • 4:00 pm - Choose Your Track: Session A: Championing a Data-Driven Culture to Future-Proof the Enterprise
    Session B: Leveraging Predictive Analytics for Pricing - Pitfalls to Avoid and Elements of Success
  • 5:00 pm - Women in Data & AI – Networking Reception
  • 6:30 pm - Private Event

Day One - Healthcare Summit

  • 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

  • 9:40 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

  • 10:10 am - Networking Break & Business Meetings

  • 10:45 am - Panel: Deliver on the Promise of Personalized Care While Protecting Patient Privacy – A Balancing Act What are the core elements for launching and scaling effective personalization programs Overcome widespread roadblocks in the journey to data integration
    Reshape the patient journey with insights on moments-that-matter Determine the best-in-class personalization engine and infrastructure for your particular ecosystem Enforce governance policies and stay ahead of future regulations to protect patient privacy

  • 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

  • 12:05 pm - Lunch & Networking

  • 1:05 pm - 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

  • 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 - Lunch & Networking

  • 2:25 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

  • 2:45 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

  • 3:00 pm - Networking Break & Business Meetings

  • 4:00 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

  • 5:00 pm - Women in Data & AI – Networking Reception

  • 6:30 pm - Private Dinner

Day Two - Main Conference & BoD Awards Gala

  • 8:00 am - Registration & Networking Breakfast
  • 8:45 am - Chairperson’s Opening Remarks
  • 9:00 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
  • 9:45 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
  • 10:15 am - Networking Break
  • 10:45 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
  • 11:15 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
  • 11:45 am - Choose Your Track 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
  • 12:30 pm - Networking Lunch
  • 2:05 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 Track B Analytics, Insights, and Business Intelligence Breakout Presentation 1B: Sharpen Insights and Drive Innovation with Cutting Edge Graph Technology Drive graph-analytics performance gains without the need for major infrastructure Strengthen insights by bringing in a wider array of data to be standardized and plotted onto the graph Uncover deep insights and impactful answers to drive innovation and business growth Track C Data Science, Artificial Intelligence & Machine Learning Breakout Presentation 1C: Data Science & Innovation: Overcoming Complexity to Drive Competitive Advantage Deciding on the best platform and data elements to enable agile data science The benefits of test & learn platforms for experimentation and acceleration of deployment Properly defining KPIs and Metrics to ensure model success
  • 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 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 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
  • 3:05 pm - Networking Break
  • 3:40 pm - Choose Your Track Strategy Session 3A: Value Delivery Through Effective Data Governance & KPIs Putting Data in context of business strategy Applying a Data Governance framework for trust, speed and scale
    Data activities, controls, and measures 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 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 
  • 4:40 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  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 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
  • 6:30 pm - CDAO FALL Presents: Business of Data Awards – A Black Tie Gala* Welcome Cocktail Reception
    Dinner & Awards-Gala

Day Three - Data Excellence & Talent

  • 8:30 am - Registration & Networking Breakfast
  • 9:15 am - Chaiperson’s Opening Remarks
  • 9:20 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
  • 9:50 am - Presentation: Achieving Excellence in Data Strategy and Measuring Success
  • 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
  • 11:30 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
  • 12:00 pm - Talent Meet & Greet Luncheon Meet with Graduate Students from Some of Top Institutions in Boston for Mentoring and Q&A
  • 1:05 pm - Strategy Session: Emerging Leaders - Forging your Unique Path to Data Leadership This interactive 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
  • 1:05 pm - Choose Your Track BoD Awards Finalists - Track 1 Join the BoD Awards Finalists to Discuss
    BoD Awards Finalists - Track 2 Join the BoD Awards Finalists to Discuss:
  • 2:25 pm - Choose Your Track Discussion Group: Data Visualization Discussion Group: AI Adoption
  • 3:00 pm - Choose Your Track Case-Study: Data Value Case-Study: Data Innovation
  • 3:30 pm - End of Event

Conference link

https://cdao-fall.coriniumintelligence.com/