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Industry Summit Track - Financial Services
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7:45am
Registration & Networking Breakfast
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8:50am
Chairperson's Opening Remarks
TBA - - Informatica
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9:00am
Opening Panel: Succeeding as a CDAO in Financial Services: Overcome Cultural Barriers to Deliver Business Value
Randy Bean, Innovation Fellow, Wavestone; Founder, NEWVANTAGE PARTNERS
Alex Golbin, Chief Data Officer, MORNINGSTAR
- Navigate cultural barriers to deliver business value
- Build strong business stakeholder relationships
- Build a data culture within their companies
- Drive effective change management and business transformation
- Examples of data and analytics initiatives that are delivering business value to the company
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9:45am
Panel Discussion: Reimagine Data Architecture to Achieve Transformation at Scale
Maharaj Mukherjee, PhD. , Sr. Architect Lead and SVP, Data Platform Services, BANK OF AMERICA
Juan F. Gorricho, Head, Business Intelligence & Data Transformation, TD BANK
Moderated by Virtualitics- How can data architecture support transformation at scale, considering challenges of handling larger volumes, variety, and velocity of data?
- Explore scalable data processing and analytics approaches, within cloud-native architectures, data lakes, data warehouses, and distributed computing frameworks
- Address data governance and security ensuring data quality, compliance, and privacy while enabling self-service access
- Discuss data integration and interoperability and how to harmonize data from diverse sources
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10:15am
Panel Discussion: Modernize Data Governance to Increase Agility in Decision-Making
Randy Gordon, Head of Data Governance, CROSS RIVER
Alex Goblin, Chief Data Officer, MORNINGSTAR
- Address the foundation of agile decision-making by focusing on data quality, governance, and security
- Adopt a cloud-first approach to take advantage of the scalability, flexibility, and cost-effectiveness
- Invest in modern data integration and analytics tools that can handle diverse data sources, support real-time processing, and enable advanced analytics and insights.
- Promote collaboration between IT and business teams with clear communication, shared goals, and understanding of business requirements
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10:45am
Networking & Coffee Break
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11:15am
Implementing Robust Data Governance Frameworks to Ensure Data Quality and Compliance
David Wright - Chief Data Officer - BNY Mellon
- Defining clear data ownership, establishing data standards, and enforcing data quality controls
- Creating data dictionaries, data lineage tracking, and metadata management to enhance data understanding, traceability, and compliance with regulatory requirements
- Implementing data governance policies and procedures, including data classification, access controls, and data retention strategies, to protect sensitive information and meet compliance standards
- Conducting data audits, data quality assessments, and implementing data validation processes to proactively identify and address data quality issues
- Foster a culture of data governance and compliance, providing training and awareness programs to educate employees on their roles and responsibilities in maintaining data quality and adhering to data governance policies.
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11:45am
Triangulating Different Data Sources to Generate Actionable Insights
Joshua Lewis - SVP, Head of Analytics & Insights - Fidelity Investments
Learn how Fidelity generates insight by triangulating across wide range of different data sources and analytics techniques. This requires an organized but time flexible approach to the data and the techniques. Examples include forecasting, our approach to consumption / semantic layer in our customer warehouse, natural language processing, and graph analytics. -
12:30pm
Designing a Data-Driven Customer Experience Journey Powered by Advanced Tech and Talen
Abbas Hasmi - VP, Growth Optimization & Strategy - Goldman Sachs
- Designing data-driven customer experience journeys that enhance personalization and deliver tailored financial solutions
- Prioritize data security and privacy throughout the customer experience journey,
- Collaborate with technology experts to identify and integrate the right tech, ensuring seamless data integration, real-time analytics, and predictive modeling.
- Continuous monitoring and analysis of customer data to proactively address customer needs
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1:00pm
Lunch & Networking
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2:00pm
Data Privacy and Security in Financial Services: Mitigating Risks and Ensuring Regulatory Compliance
Cindy Tu - IT Audit Director - Discover
- Implementing robust data protection measures, including encryption, access controls, and secure data storage, to safeguard sensitive financial information
- Establishing data governance frameworks that align with regulatory requirements, such as GDPR or CCPA, and ensuring adherence to industry-specific standards and best practices
- Conducting regular risk assessments, vulnerability testing, and incident response planning to proactively identify and address potential data privacy and security threats
- How to educate employees on data privacy and security practices, implement training programs, and foster a culture of compliance to minimize the risk of data breaches and uphold customer trust in financial services
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2:30pm
The Implications and Opportunities of Generative AI in Financial Services
David Dietrich - VP, Advanced Analytics & Governance - Fidelity Investments
- How generative AI can be leveraged by data leaders to enhance financial services offerings and drive innovation
- The potential applications of generative AI in areas such as fraud detection, risk modeling, personalized customer experiences, and algorithmic trading
- The ethical considerations and regulatory challenges associated with the use of generative AI in FS – how to ensure responsible and compliant implementation?
- Successful use cases and best practices on harnessing the power of generative AI while managing potential risks and maximizing business value
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3:00pm
Align Data Management Strategy with Business Strategy to Scale with Agility in Financial Services
Abhinav Anand - Managing Director, Consumer Business - Goldman Sachs
- Establish clear communication channels between data and business teams to ensure alignment of data management strategy with business strategy
- Develop a comprehensive understanding of the organization's evolving business needs and goals to proactively identify potential challenges and adapt the data management strategy accordingly
- Implement robust data governance frameworks that bridge the gap between data management and business strategy, enabling rapid scalability without compromising data quality or integrity.
- Fostering a culture of continuous improvement to achieve scalability and agility in data operations
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3:30pm
Coffee & Networking Break
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4:00pm
Strategy Session: Responsibly Unleash the Power of Generative AI in FS
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4:45pm
Strategy Session: Attract, Retain and Upskill – Scoring and Keeping the Best Talent in a Competitive Market
- Leverage talent metrics to make informed talent management decisions, including recruitment, performance evaluation, and succession planning
- The use of workforce analytics to identify skills gaps, optimize training programs, and align talent strategies with business objectives, driving a competitive advantage in the war for talent
- The role of diversity, equity, and inclusion (DEI) in talent management in fostering a diverse and inclusive workforce, leading to innovation and better business outcomes
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5:30pm
Drinks Reception in the Exhibit Hall
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Industry Summit Track - Insurance
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7:45am
Registration & Networking Breakfast
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8:50am
Chairperson's Opening Remarks
- - Informatica
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9:00am
Opening Panel: Advancing Data Culture and Literacy in Traditional Insurance Companies
Asif Syed, VP, Data Strategy, HARTFORD STEAM BOILER
Rita Fuller, Corporate VP, Center for Data Science & AI, NEWYORK LIFE
Joe Vellaiparambil, Chief Data Analytics Officer, AXA- Overcome limited awareness of the value of data culture and data literacy within traditional insurance companies to fully leverage data-driven insights
- Optimize resources to develop and implement data literacy programs
- Drive change and transformation of data-driven practices to foster innovation
- Modernize data infrastructure to increase accessibility and usability of data and scale self-service across the enterprise
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9:45am
Panel Discussion: How Data Mesh and Data Fabric Can Innovate Insurance Operations
Speakers invited from: Chubb, Travelers, Nationwide, State Farm, Allstate
- Discuss the advantages of data fabric and data mesh approaches to create a unified view of the data landscape, enabling seamless data integration across various sources
- Hear use-cases of data decentralization to democratize data access, leading to faster and more efficient decision-making
- Understand how both approaches can improve data governance, data quality, integrity, and compliance, and
- Achieve a holistic view of customer data, allowing for personalized and tailored insurance products and services
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10:15am
Advance Data Culture and Data Literacy in Traditional Insurance Companies
Christine Greenleaf - Director of Underwriting Analytics - Brighthouse Financial
- Overcome limited awareness and understanding of the value of data culture and data literacy within traditional insurance companies to fully leverage data-driven insights.
- Optimize resources to develop and implement data literacy programs
- Drive change and transformation of data-driven practices to foster innovation
- Modernize data infrastructure to increase accessibility and usability of data and scale self-service across the enterprise
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10:45am
Coffee & Networking Break
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11:15am
Invest in Efficient InsureTech to Stay Ahead of Customer Demands
Speakers invited from Lemonade, PolicyGenius, Hippo and Root Health
- Streamline operations, enhance customer experience, and stay ahead of evolving demands in the insurance industry
- Leverage data analytics and automation to optimize underwriting processes, accelerate claims management, and deliver faster, more accurate insurance services to customers
- Invest in robust data infrastructure and cybersecurity measures to protect sensitive customer information and ensure regulatory compliance
- Foster partnerships with InsureTech startups and industry disruptors to tap into cutting-edge technologies, foster innovation, and drive agile, customer-centric solutions
- Continuously monitor customer feedback, market trends, and emerging technologies to identify new opportunities for growth and maintain a competitive edge in the rapidly evolving InsureTech landscape
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11:45am
Boost Predictive Analytics and AI for Personalization in Insurance
Speakers invited from Direct Assurance, Insure App and The Hartford
- Ensuring data quality and accessibility to leverage predictive analytics and AI for personalization
- Overcoming regulatory and ethical considerations related to data privacy and security
- Addressing the interpretability and explainability of AI models
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12:30pm
Align Data Management Strategy with Business Strategy to Scale with Agility
Allen Thompson - VP, Data & Analytics - Hanover Insurance Group
- Balancing the need for robust data governance and compliance with the demand for agile and flexible data solutions
- Navigating the complexity of integrating disparate data sources and systems to enable seamless data flow and accessibility, while ensuring alignment with the evolving needs and goals of the business
- Continuously adapting and evolving your data management strategy to keep up with the scalability and agility demands of the organization
- Effectively communicating the value and benefits of aligning data management strategy with business strategy to stakeholders and securing their buy-in
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1:00pm
Lunch & Networking
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2:00pm
Optimizing Claims Management through Data Integration and Automation in the Insurance Sector
Srini Sankar - Enterprise Data Leader - Hanover Insurance Group
- Deploy automation technologies to streamline claims processing, reducing turnaround times and improving operational efficiency
- Enhance accuracy and fraud detection, resulting in reduced claim leakage and improved loss ratios
- Leverage Robotic Process Automation (RPA) to reduce errors and increased productivity in claims handling
- Improve CX through self-service portals, automated notifications, and real-time updates, resulting in higher customer satisfaction and loyalty
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2:30pm
Beyond the Hype – Deploy Emerging Tech to Drive Value and Integrate it with your Current Stack
Speakers invited from Prudential, Northwestern Mutual, Progressive
- Successfully navigating the rapidly evolving landscape of emerging technologies and determining which ones hold true value for your organization
- Integrating emerging technologies into the current technology stack
- Overcoming resistance to change and fostering a culture of experimentation and innovation
- Investing in skilled resources and expertise - acquiring the right talent to effectively deploy and integrate these technologies into the current stack
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3:00pm
Deploy Advanced Analytics Models for Customer Behavior, Risk Assessment, and Fraud Detection
Raj Challa - Director, Data and AI Governance / Principled and Responsible AI - MassMutual
- Identify business objectives and specific use cases
- Collaborate with IT teams to ensure seamless integration and compatibility with existing infrastructure and processes
- Address ethical and privacy concerns by ensuring compliance with relevant data protection regulations
- Adopt best practices for performance evaluation, ROI, and scalability assessment
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3:30pm
Coffee & Networking Break
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4:00pm
Strategy Session: Responsibly Unleash the Power of Generative AI in FS
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4:45pm
Strategy Session: Attract, Retain and Upskill – Scoring and Keeping the Best Talent in a Competitive Market
- Exploring effective approaches to attract top talent in a competitive market, leveraging technology in the recruitment process
- Discussing key strategies and initiatives to retain high-performing employees
- Examining the importance of continuous learning and development programs to upskill existing employees, foster a culture of growth, and adapt to rapidly evolving market demands
- Delving into the elements that contribute to a high-performance culture
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5:30pm
Drinks Reception in the Exhibit Hall
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Industry Summit Track - Retail & CPG
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7:45am
Registration & Networking Breakfast
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8:50am
Chairperson's Opening Remarks
- - Informatica
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9:00am
Opening Panel: Drive Loyalty and Revenue With Effective Data-Driven Personalization Strategies
Colin Coleman, Chief Data & Analytics Officer, INSPIRE BRANDS
Prachi Priya, Chief Data Officer, TEAM ONE - PUBLICIS GROUPEAnu Sundaram, VP, Business Analytics, RUE GILT GROUPE
Laks Meyyappan, Executive Director, Algorithms & Data Science, CVS HEALTH
- Deploy AI to gain a deeper understanding of your customers, make data-driven decisions, and deliver highly relevant and personalized experiences
- Process and analyze data in real-time
- Leverage predictive models to forecast customer behavior
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9:45am
Thriving as a CDAO office in Retail/CPG
Speakers invited from Wal-mart, Pepsi, Target, Procter & Gamble
- Understand and navigate cultural barriers to deliver business value
- Foster cross-functional collaboration and build strong relationships with stakeholders
- Promote a data-driven culture throughout the organization
- Address resistance to change through effective change management strategies
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10:15am
Drive Supply Chain Optimization with Predictive Analytics to Stay Competitive
Speakers invited from Johnson & Johnson, Pepsi, Pfizer, Colgate-Palmolive, L’Oreal and Coca-Cola
- Know your data: Identify and collect relevant data points across the supply chain, such as historical demand data, inventory levels, transportation data, supplier performance, and external factors
- Utilize predictive analytics algorithms to forecast future demand patterns accurately
- Assess and manage supplier performance
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10:45am
Coffee & Networking Break
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11:15am
AI-Powered Business Intelligence: Enhance Operations and Drive Revenue
Speakers invited from Uniqlo, Sephora, North Face, Neiman Marcus
- Harness AI to improve efficiency, increase revenue, and gain a competitive advantage
- Identify and engage high-value customers and implement targeted retention strategies
- Improve cross-selling and upselling opportunities
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11:45am
Panel Discussion: Leverage Advanced Analytics for Demand Planning and Forecasting
Jennifer Sullivan, Exec Director, Personalization Experience Strategy, CVS HEALTH
Michael Collins, Lead Director, Data Science, CVS HEALTH- Hear best practices on connecting front-end functions with data
- Learn to leverage key metrics to determine the optimal structure and aggregation of demand
- Retailers can adjust prices dynamically, taking into account factors such as product popularity, seasonality, and competitor actions, resulting in increased sales and revenue
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12:30pm
Panel Discussion: Champion a Data & Insights Driven Culture to Achieve Your Omnichannel Goals
Speakers invited from Amazon, Wal-mart, Nike, Lululemon, Gap
- 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
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1:00pm
Lunch & Networking
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2:00pm
Crack the Code on Media and Marketing Analytics to Increase Market Shar
Danny Gardner - Social Intelligence Lead - Haleon
- Evaluate the performance of your content and creative assets.
- Analyze engagement metrics, click-through rates, and conversion rates associated with different messaging and visuals.
- Unlock the power of media and marketing analytics to gain valuable insights, optimize your marketing strategies, and increase market share.
- Analyze the effectiveness of various media channels and marketing campaigns. Use attribution modeling to understand the impact of different marketing touchpoints on customer conversions.
- Continuously reallocate resources to the most effective channels
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2:30pm
Building a Value-Driven Analytics Function in Retail and CPG
Speakers invited from Saks, Frito-Lay, Dicks Sporting Goods, Best Buy, LG Electronics, The Home Depot
- Align the analytics function with the overall business strategy and objectives.
- Align the analytics function with the overall business strategy and objectives.
- Align the analytics function with the overall business strategy and objectives.
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3:00pm
Building a Connected Decision Eco-system Using AI
Jyotsna Sharma - Head of Data & Analytics - Mars
Many large organizations are rife with silos that result in sub-optimal decision-making. In a highly networked world where interactions are more important than entities, organizations must create a connected data foundation and harness the power of AI to empower decision-makers with connected insights and recommendations. Craft a plan that emphasizes:
- Purpose of creating a connected decision eco-system in your company
- Barriers & Enablers for an enterprise-first decision mindset
- How can business leaders drive enterprise-first behaviors in the organization
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3:30pm
Coffee & Networking Break
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4:00pm
Strategy Session: Responsibly Unleash the Power of Generative AI in FS
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4:45pm
Strategy Session: Attract, Retain and Upskill – Scoring and Keeping the Best Talent in a Competitive Market
- Identify patterns and trends in customer demand to understand shifts and changes in preferences
- Utilize predictive analytics techniques to forecast future customer demand based on historical data and market indicators.
- Develop models that can anticipate changes in customer behavior and demand pattern
- Maintain an agile and flexible supply chain that can respond quickly to changes in customer demand.
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5:30pm
Drinks Reception in the Exhibit Hall
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Industry Summit Track - Healthcare
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7:45am
Registration & Networking Breakfast
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8:50am
Chairperson's Opening Remarks
- - Informatica
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9:00am
Opening Panel: Succeeding as a CDAO in Healthcare: Overcome Barriers to Deliver Business Value
Chris Hutchins, Chief Data & Analytics Officer, LIFEPOINT HEALTH
Shahidul Mannan, Chief Data Officer, MERCY HEALTH
Rashan Hussain, Chief Data Officer, UNIVERSITY OF KENTUCKY HEALTH- Understand and navigate cultural barriers to deliver business value
- Foster cross-functional collaboration and build strong relationships with stakeholders
- Promote a data-driven culture throughout the organization
- Address resistance to change through effective change management strategies
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9:45am
Leveraging Behavioral Segmentation (Personas) to Enhance the Employee Experience
Kearney Fulton - Director of People Analytics - Baylor Scott & White
- Identify patterns and trends in employee behaviors that inform strategic decision making relating to attracting top talent, engaging employees, and reducing turnover
- Understand the unique needs and pain points of different employee personas, enabling the customization of benefits, talent management, and messaging to better meet employee expectations
- Continuous analysis and refinement of customer personas to adapt and evolve strategies based on changing employee behaviors and labor market dynamics
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10:15am
Data Platform as a Product - Modernize your Data Estate and Decision Systems to Increase Value
Hui Zhang PhD - Executive Director of the Digital Health Office - Eli Lilly & Co.
- Hear about data product in practice, and the implications of ownership from design to building to operating
- The "ideal" tech stack for scale and consumption
- Discuss access and security concerns and best practices to ensure data product adoption
- Successful use-cases highlighting the business impact and adoption
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10:45am
Coffee & Networking Break
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11:15am
Scaling AI in Healthcare to Improve Operations, Patient Experience and Outcomes
Patrick Carroll - Chief Medical Officer - Hims & Hers
- Explore techniques for fostering improved patient outcomes
- Hear insights on optimizing data sharing and communication that are proven to improve patient experience during times of care
- Gain practical knowledge on leveraging AI to accelerate speed to diagnosis
- Empower teams in making agile, data-driven decisions throughout the entire data lifecycle to reduce patient admission rates
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11:45am
Fraud Prevention and Patient Data Protection in Healthcare
Speakers invited from Mayo Clinic, Tufts Healthcare, United Health and Aetna
- Store patient data in secure environments, such as encrypted databases or cloud storage solutions with strong security measures
- Conduct regular training sessions for healthcare staff to educate them about the importance of data protection and fraud prevention
- Implement comprehensive monitoring systems to track access to patient data
- Implement robust encryption mechanisms to protect patient data both at rest and in transit.
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12:30pm
Data for Good - Leverage Insights to Promote Health Equity and Improve Outcomes
Speakers invited from Cigna, Pfizer, McKesson, Cardinal Health
- Incorporate social determinants of health data into analytics models
- Utilize predictive analytics to identify individuals at higher risk for certain health conditions or poor outcomes
- identifying these disparities, healthcare companies can target interventions and resources to address them
- Utilize insights to develop culturally competent care approaches
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1:00pm
Lunch & Networking
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2:00pm
Telehealth: Design a Human-First and Data-Driven Approach to Improve Behavioral Health Conditions
Speakers invited from Optum, NYP Digital Health, Kaiser Permanente
- Find out how to implement technology-driven personalized solutions that improve patient outcomes
- Discover how to pair human-centered design with data to address today’s complex healthcare challenges
- Strategically deploy virtual care initiatives that will drastically impact population health
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2:30pm
Redesigning Data & Analytics Teams in for the Digital Age Healthcare: Recruit, Retain, Reskill
Speakers invited from Novartis, Roche, Merck, GsK, AstraZeneca
- How to identify gaps and areas that need improvement to align with digital healthcare requirements.
- Understand the organization's digital healthcare vision and objectives
- Assess the current team's skill gaps and areas that require enhancement.
- Adopt agile methodologies to enable rapid experimentation, prototyping, and iterative development
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3:00pm
Four Foundational Pillars of a Data Office
Jessie Tenenbaum - Chief Data Officer (CDO) - Department of Health & Human Services, North Carolina
This presentation will cover the four pillars of NC DHHS’s Data Office: Infrastructure, Governance, Use, and Training
- How these pillars have evolved and how they inform the organizational structure of the Data Office
- How the pillars are aligned with Departmental strategic priorities
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3:30pm
Coffee & Networking Break
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4:00pm
Strategy Session: Responsibly Unleash the Power of Generative AI in FS
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4:45pm
Strategy Session: Attract, Retain and Upskill – Scoring and Keeping the Best Talent in a Competitive Market
- 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
- Discuss how to leverage data to maximize limited resources and improve clinical outcomes
- Explore ways to promote systemwide data literacy while enforcing strong data privacy and security
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5:30pm
Drinks Reception in the Exhibit Hall
Not Found
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Main Conference
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7:30am
Registration & Networking Breakfast
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8:30am
Chairperson's Opening Remarks
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8:40am
Opening Keynote: Data-Driven Transformation: Unleashing the Power of Chief Data Officers in the Digital Age
Speakers invited from Nike, Procter & Gamble, Wal-Mart and Chase
- Explore strategies for aligning CDO roles and responsibilities with business objectives, enabling them to effectively lead data-driven initiatives and transformation efforts
- Building a strong data governance framework, establishing data-driven cultures, and leveraging emerging technologies to support CDOs in their transformational roles
- Fostering collaboration between CDOs and other key stakeholders, such as IT, marketing, and operations, to drive holistic data-driven decision-making across the organization
- Discover how to measure and communicate the value of CDOs' contributions, securing executive support and investment in their roles to drive successful data-driven transformations in the digital age
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9:00am
Unlock the Future of Insights: Accelerate Your Modernization Journey at the Speed of Business
Speakers invited from Ulta Beauty, Netflix, Paramount, Hyatt Worldwide, Fidelity
- Use-cases of data functions that have unlocked the future of insights by aligning data infrastructure, technology, and processes with business goals
- Strategies for agile data integration, cloud adoption, and scalable architectures to enable faster and more efficient data processing and analysis
- Leveraging advanced analytics, AI, and ML to extract valuable insights from data in real-time, enabling proactive decision-making
- Implementing data governance frameworks that balance agility and compliance, ensuring data quality, privacy, and security in the modernization journey
- Embrace new technologies, tools, and methodologies to drive modernization and prepare for the future
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9:20am
The Critical Role of the Business Translator - Challenges and Successful Strategies
Speakers invited from CDC, Disney, Wells Fargo, State Farm, Tesla
- Collaborating with cross-functional teams to facilitate productive discussions, aligning data strategies with business goals and fostering a data-driven culture within the organization
- Developing successful strategies as business translators involves continuous learning, keeping up with industry trends, and cultivating strong relationships with both technical and non-technical stakeholders to enable successful data driven decision-making
- How can data leaders enable their teams to practice effective communication, which is key to convey complex data concepts in a clear and actionable manner?
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9:40am
The Art of Demonstrating ROI of Analytics Initiatives
Ansar Kassim - Head of Finance Analytics - Verizon
- Do your analytics initiatives result in a zero-sum game?
- How to gain support for your prescriptive analytics recommendations
- Objectively demonstrate the business value of your insights
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10:10am
Coffee & Networking Break
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10:40am
Panel Discussion: Data Visionaries: How Leading CDAOs Deliver Business Value from Data & Analytics Investments
Randy Bean, Innovation Fellow, WAVESTINE
Vipin Gopal, Chief Data & Analytics Officer, WALGREENS BOOTS ALLIANCE
Tarun Sood, Chief Data Officer, AMERICAN CENTURY
- How CDAOs can develop effective partnerships with business leaders
- How CDAOs communicate the value of Data & Analytics investments
- What organizations must do to build a Data & Analytics culture
- What CDAOs must do to build organizational trust and credibility
- How the CDAO role will evolve in the years ahead
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11:00am
Explosive Data Growth, Finite Budgets
Speakers invited from DoorDash, Airbnb, Goop, Meta, Dick’s Sporting Goods
- Understand the role of the modern data stack in today’s volatile regulatory landscape
- Launch a decentralized data framework that supports clear ROI
- Revolutionize your company’s data culture with a system that delivers the right data, at the right time, with the right controls
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11:20am
Generative AI - Exploring the Challenges and Potential of Generative AI to Empower Data Leaders
Larry Allen, VP & GM Data Enablement, COMCAST
Anu Sundaram, VP, Business Analytics, RUE GILT GROUPE
- Explore the potential of generative AI to create synthetic data and augment existing datasets, enabling data leaders to overcome limitations of data availability and privacy concerns while enhancing the accuracy and diversity of their analytical models
- Investigate the challenges of training and validating generative AI models, ensuring they produce realistic and reliable outputs that align with the desired data distribution, enabling data leaders to effectively leverage generative AI for various applications in the insurance industry
- Examine the ethical considerations and potential biases associated with generative AI, fostering responsible AI practices and ensuring fair and unbiased outcomes
- Evaluate the potential impact of generative AI on various data-driven tasks, such as fraud detection, customer segmentation, and more
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11:40am
Change Management and Communication: Leading Effective Change to Drive Culture Transformation
Speakers invited from Apple, NBA, City of Boston, T-Mobile, Levis
- Communicating the benefits of culture transformation, addressing resistance to change, and developing a change management plan tailored to their organization's unique needs
- Effective communication channels and strategies for delivering clear, consistent messages that resonate with employees at all levels of the organization
- Engaging and empowering employees through change, including training programs, cross-functional collaboration, and fostering a sense of ownership and accountability
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12:00pm
Generative AI – Exploring the Challenges and Potential of Generative AI to Empower Data Leaders
Speakers invited from Johnson & Johnson, Amazon, Ford Motor Company, ExxonMobil, General Electric
- Explore the potential of generative AI to create synthetic data and augment existing datasets, enabling data leaders to overcome limitations of data availability and privacy concerns while enhancing the accuracy and diversity of their analytical models
- Investigate the challenges of training and validating generative AI models, ensuring they produce realistic and reliable outputs that align with the desired data distribution, enabling data leaders to effectively leverage generative AI for various applications in the insurance industry
- Examine the ethical considerations and potential biases associated with generative AI, fostering responsible AI practices and ensuring fair and unbiased outcomes
- Evaluate the potential impact of generative AI on various data-driven tasks, such as fraud detection, customer segmentation, and more
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12:20pm
Securing Buy-In for Data Initiatives: Strategies for Gaining Financial Support and Achieving Success
Speakers invited from Pfizer, Mayo Clinic, Target, Spanx, Genesco, YUM! Brands
- Leveraging data storytelling and visualization techniques to effectively demonstrate the potential ROI and competitive advantage of data initiatives to key decision-makers
- Identifying and addressing potential concerns and objections from stakeholders to overcome resistance
- Establishing strong partnerships and collaborations with finance and executive teams, effectively communicating the potential business value and long-term benefits of data initiatives to gain support and financial backing
- Building strong business cases and aligning data initiatives with organizational goals to gain buy-in from stakeholders and secure necessary funding
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1:00pm
Lunch & Networking
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Track A: Data Architecture, Data Governance, Data Protection & Privacy
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2:15pm
Adapting to the Dynamic Landscape of Data Governance: New Trends and Best Practices
- Implementing flexible and scalable data governance frameworks to adjust to evolving regulations, technological advancements, and emerging data privacy concerns
- Automate data governance processes, ensuring efficient and effective management of vast datasets
- Navigate the dynamic landscape of data governance by promoting data literacy and accountability at all levels
- Regularly reviewing and updating data governance policies and practices based on industry benchmarks and regulatory guidelines
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2:45pm
Navigating the Data Jungle: Empowering Business Users to do Exploratory Data Analysis
Nechama Katan - Director, Data Science Insights - Pfizer
- Why is this necessary?
- What are the impacts to the data pipeline when the analysis is open ended?
- What can be done to resolve these issues?
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3:15pm
Predicting Customer’s Behavior and Driving Personalization in a Privacy-First Landscape
- Uncover insights that drive targeted marketing campaigns, product recommendations, and customized user experiences
- Implement privacy-first data collection and anonymization practices to protect customer information while still leveraging it for predictive modeling and personalization.
- Collaborating with legal and compliance teams to establish privacy frameworks and guidelines ensuring responsible data usage in customer behavior prediction
- Continuous monitoring and evaluation of customer behavior prediction to refine algorithms and strategies
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3:45pm
Networking & Coffee Break
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4:45pm
Strategy Session 1A: Strategy Session: The Critical Role of the Business Translator - Challenges and Successful Strategies
Harleen Thethy - Global Head of Data, StoryWorks - BBC News
- How can data leaders enable their teams to practice effective communication, which is key to convey complex data concepts in a clear and actionable manner?
- Collaborating with cross-functional teams to facilitate productive discussions, aligning data strategies with business goals and fostering a data-driven culture within the organization
- Developing successful strategies as business translators involves continuous learning, keeping up with industry trends, and cultivating strong relationships with both technical and non-technical stakeholders to enable successful data driven decision-making
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5:00pm
Strategy Session 2A: Privacy by Design – Embedding Privacy Principles into Data Architecture
Shaheen Abdul Jabbar, Director, Information Security, SANTANDER
Esmond Kane, Chief Information Security Officer,
STEWARD HEALTHCARE
Tony Parrillo, Global Head of Cybersecurity Schneider Electric, Enterprise IT, SCHNEIDER ELECTRIC
- Incorporate privacy considerations into data collection, storage, processing, and sharing processes to protect sensitive information
- Collaborate with privacy experts and legal teams to establish data governance frameworks that adhere to privacy regulations and industry standards safeguarding personal and confidential data.
- Implement privacy-enhancing technologies, such as encryption and data anonymization, to protect individual privacy while still enabling valuable data analysis and insights.
- Proactively identify and address privacy risks, ensuring ongoing compliance and trust in data handling
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Track B: Analytics & Insights, Business Intelligence
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2:15pm
Scale Augmented Analytics to Unleash Real-Time Decision-Making Across the Organization
Ercan Ucak - Vice President - Cerberus Capital Management, L.P.
Learn how we implemented a “Decision Intelligence” platform at one of our PortCos, WFS.
This provided descriptive and advanced analytics to warehouse operators, which scaled augmented (i.e., mix of analytics + human) analytics across North America.Implemented solution drove great labor efficiencies, reducing overtime costs and allocating shifts optimally. This resulted in margin expansion across the various stations.
Tool also provided descriptive analytics that supported productivity tracking by regional VPs.
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2:45pm
Telling the Data Story— Absorbing Complexity, Delivering Simplicity
Avinash Tripathi - Vice President of Analytics - University of Phoenix
- If the job of analytics is to “absorbing complexity and deliver simplicity” Do we think analytics departments, overall, achieve this?
- What do you think is standing in the way of many analytics functions from delivering simplicity?
- How do you ensure the insights you’re delivering are useful to the business?
- Some analytics functions are viewed purely as cost-centers, what is your experience in flipping the narrative, so they’re viewed as profit-centers?
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3:05pm
Crack the Code on Media and Marketing Analytics to Increase Marketshare
- Identify effective channels, campaigns, and messaging that resonate with target audiences, optimizing marketing strategies for greater market share
- Uncover valuable patterns and trends, guiding decision-making and resource allocation
- Measuring the impact of campaigns, identifying areas for improvement, and driving continuous optimization.
- Adapt strategies, capitalize on emerging trends, and maintain a competitive edge, fostering sustainable market share growth
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3:45pm
Coffee & Networking Break
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4:15pm
Strategy Session 1B: Scale Augmented Analytics to Unleash Real-Time Decision-Making Across the Organization
Haroon Abbu - SVP, Data & Analytics - Bell & Howell
- Implement scalable augmented analytics solutions to democratize data insights
- Collaborating with IT teams to ensure the availability of robust infrastructure and data governance frameworks that support scalability and security
- Enhance data literacy through upskilling programs for faster and more informed decision-making
- Monitoring and optimizing the performance of augmented analytics to identify bottlenecks, refine algorithms, and ensure that real-time insights are delivered accurately and efficiently
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5:00pm
Strategy Session 2B: Redesigning Data & Analytics Teams in for the Digital Age: Recruit, Retain, Reskill
Harleen Thethy - Global Head of Data, StoryWorks - BBC News
- Expanding skillsets for a digital age
- Empowering your team to level up their talent deck
- Partnering with universities to build your bench and groom the next generation of talent
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Track C: Data Science, AI/ML
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2:15pm
Harnessing the Power of AI for Good: Empowering Data Leaders to Drive Positive Impact
Steve Boras - EVP, Head of Model Risk Management & Validation - Citizens Bank
- 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
- Explore real-world case studies where data leaders successfully implemented AI-driven initiatives that resulted in tangible benefits for communities and the environment
- Gain insights into strategies for measuring and evaluating the effectiveness of AI for good projects, demonstrate the value and outcomes of their initiatives to stakeholders and the wider community
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2:45pm
Generative AI Enabling Business Transformation, Re-imagining Decision Making With AI and Trusted Data
Kiran Kodali - Head of R&D Data Strategy & Governance - Sanofi
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3:15pm
AI in Action: Real-World Use Cases and Success Stories of Artificial Intelligence Transforming Industries
Nakul Vyas - Head, Data, Analytics & Digital Innovation - Arcutis Biotherapeutics
- Learn from the experiences of organizations that have successfully implemented AI, understanding the challenges faced, the strategies employed, and the measurable impact achieved
- Discover innovative AI applications, such as predictive maintenance, fraud detection, demand forecasting, and personalized recommendations, that have revolutionized industries and driven competitive advantage
- Gain practical insights and actionable strategies for harnessing AI's transformative potential within their own organizations
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3:45pm
Coffee & Networking Break
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3:35pm
Strategy Session 1C: Responsible AI Governance: Ethical Considerations, Bias Mitigation, and Explainability in AI Systems
Besa Bauta - Chief Information Officer - Jewish Board of Family and Children's Services
Cecilia Dones, Head of Data Sciences, MOET HENNESSY
- Implementing bias mitigation strategies to proactively identify and minimize biases in AI algorithms and models, ensuring fairness and equity in decision-making processes
- Incorporate multiple perspectives and ensure responsible AI development and deployment
- Promoting explainability and transparency in AI systems empowers to provide clear insights into how AI models make decisions, enhancing trust, and facilitating better understanding of AI-generated outcomes
- Identify and address potential risks and unintended consequences, fostering responsible and accountable AI practices throughout the organization
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5:00pm
Strategy Session 2C: Addressing Scalability Challenges in Data Science: Scale Algorithms and Infrastructure for Big Data Analytics and Complex Modelling
- Implementing distributed computing frameworks to process and analyse large volumes of data in parallel, improving scalability and performance
- Collaborating with data engineers and IT teams, data leaders can optimize infrastructure resources, such as cloud computing and high-performance clusters, to meet the demands of big data analytics and complex modelling
- Scaling algorithms to train models on massive datasets, unlocking deeper insights and more accurate predictions
- Adapt to evolving data volumes and modelling requirements, ensuring efficient and reliable data science operations
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5:45pm
Conclusion of the Event
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6:30pm
CDAO FALL - Black Tie Gala (separate registration)
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