CDAO Fall Day 3 schedule

•    How data analytics and insights are driving digital transformation efforts by providing organizations with actionable intelligence about customer interactions, purchasing patterns, and sentiment analysis

Tu Le, Head of  Retail Bank Operations, USAA FEDRAL SAVINGS BANK
Beverly Wright, PHD, CAP, Academic Program Director, Data Science & AI, THE UNIVERSITY OF GEORGIA
Edward Loessi, Senior Manager, eCommerce Technology and Performance Analytics, AHOLD DELHAIZE

 

Insights into deep learning CVL models for increased personalisation

Laks Meyyappan, Executive Director, Algorithms & Data Science, CVH HEALH

•    The benefits of Customer Data Platforms (CDPs) in aggregating and unifying customer data from disparate sources
•    How does this enable organizations to create a holistic view of each customer and deliver personalized experiences across channels.

Shreesha Jagadeesh, Associate Director of Applied Machine Learning, BEST BUY

Insighs into how data analytics can be used to fine-tune eCommerce platforms, from improving content management to enhancing onsite advertising. Learn best practices for using advanced analytics to make informed decisions that directly impact sales and customer experience

Edward Loessi, Senior Manager, eCommerce Technology and Performance Analytics, AHOLD DELHAIZE

•    Explore the concept of customer journey mapping and its role in understanding consumer behavior across various touchpoints. 
•    Discuss how organizations use data analytics to identify pain points, opportunities, and moments of truth in the customer journey

Laura Woolley, Global Consumer Marketing, BOSE

•    Predictive customer support and its role in proactively addressing customer needs and issues before they escalate
•    How can organizations collect and integrate diverse data sources to gain a comprehensive understanding of the voice of the customer

Lauren Gardener, Senior Manager, Voice Of  Customer Strategy, STASH

•    Insights into how data-driven approaches can enhance incident investigation and analysis by leveraging digital evidence to identify the root causes of security incidents
•    How machine learning algorithms can assist in anomaly detection, pattern recognition, and behavioral analysis to identify suspicious activities and threats

David Cass, Chief Information Security Officer, GSR
Senior Representative, Chief Information Officer, WORLDBANK
Rose Lally, Chief Information Security Officer, Vice President, Governance & Controls, ALTISOURCE
Esmond Kane, Chief Information Security Officer, STEWARD HEALTH CARE
Kevin Medeiros, Vice President, Senior Information Security Risk Officer, WORKERS CREDIT UNION

•    The significance of Secure DevOps practices in safeguarding data integrity, confidentiality, and availability throughout the software development lifecycle
•    Insights into how automated tools such as static application security testing (SAST) and dynamic application security testing (DAST) can help detect and remediate data-related vulnerabilities, such as injection flaws or insecure data storage practices

Corey M. Dennis, Senior Director, Global Counsel, Information Security & Privacy, ELI LILLY AND COMPANY

•    Integrating Security into AI Development: Explore best practices for embedding security into every stage of AI development, ensuring that AI-driven solutions are not only innovative but also secure by design.
•    Proactive Threat Mitigation: Learn how AI can be leveraged to predict and mitigate security threats in real-time, enhancing the resilience of systems against emerging cyber risks.

Esmond Kane, Chief Information Security Officer, STEWARD HEALTH CARE

•    Establishing comprehensive cybersecurity governance frameworks to guide organizational policies, procedures, and decision-making processes
•    The role of governance in setting strategic objectives, defining risk appetite, and ensuring alignment with regulatory requirements and industry standards

Thomas Shola, Chief Risk & Privacy Officer, NORTHERN BANK

•    Strategies for identifying and categorizing sensitive data assets based on their level of confidentiality, integrity, and regulatory requirements
•    The role of encryption and data masking techniques in protecting sensitive information both at rest and in transit

Rose Lally, Chief Information Security Officer, Vice President, Governance & Controls, ALTISOURCE

•    The evolving role of AI in cybersecurity, 
•    The journey towards ISO27001 certification
Kevin Medeiros, Vice President, Senior Information Security Risk Officer, WORKERS CREDIT UNION

•    Exploring how organizations can use data analytics to optimize the talent acquisition process, including sourcing, screening, and selecting candidates, to attract and hire top talent effectively
•    How can organizations leverage data analytics to understand candidate preferences, tailor messaging and branding efforts, and effectively engage with target talent pools through targeted recruitment campaigns

Div Khanna, Global Head of People Data Strategy & Analytics, KENVUE

Stacey Force, Board of Advisors, GPS EDUCATION

•    Implementing bias mitigation strategies to proactively identify and minimize biases in AI/Gen AI algorithms and models, ensuring fairness and equity in decision-making processes 
•    Promoting explainability and transparency in AI/Gen AI systems to provide clear insights into how AI models make decisions, enhancing trust, and facilitating better understanding of AI-generated outcomes 
Jennifer Mezzio, Global HR Data Officer, FIRST CITIZENS BANK

Data driven Insights on how to design employee experiences that resonate with today’s workforce, fostering engagement, retention, and a sense of purpose across all levels of the organization

Stacey Force, Board of Advisors, GPS EDUCATION

•    The role of people analytics in HR strategy and decision-making, including workforce planning, performance management, and employee engagement, to optimize organizational effectiveness and productivity
•    Insights into how HR can use data analytics to track employee performance, identify high-potential talent, and tailor learning and development programs to individual needs, driving continuous improvement and career growth
Westie Magnuson, Chief People Officer, CORNEL’S PLUMBING, HEATING & AIR

•    How organizations can analyze historical workforce data, market trends, and business projections to anticipate skill gaps, succession needs, and workforce demand in the digital age
•    Insights into how how HR departments can use data-driven insights to identify high-potential successors for critical roles, assess readiness gaps, and develop targeted development plans to groom future leaders and ensure organizational continuity

Insights into the MIT Sloan Management Review on how AI is revolutionizing the workforce, but is it a good thing? 

Sam Ransbotham, Artificial Intelligence and Business Strategy, MIT SLOAN MANAGEMENT REVIEW

•    How can organizations use analytics to segment their customer base, prioritize prospects, and tailor sales strategies to address the specific needs and preferences of different customer segments
•    Discuss how organizations can use analytics to track the progress of opportunities through the sales funnel, identify bottlenecks, and optimize sales processes

Kevin Nickerson, AVP, Analytics & Sales Enablement, CHUBB
Gunjan Aggarwal, Executive Director,  Data Strategy &  Marketing Data Solutions, NOVARTIS
John Giaquinto, Vice President of Loyalty, Personalization & Analytics, RITE AID
Anton Pavlov, Senior Manager, Customer Data & Marketing Automation, ALNYLAM PHARMACEUTICALS 

•    Leveraging data insights to create detailed customer profiles based on demographics, psychographics, behaviors, and preferences
•    The role of predictive analytics in identifying and predicting customer segments with the highest potential value.
Dr. Tiffany Perkins-Munn, Managing Director, Head of Data & Analytics for JPMC Marketing, J.P. MORGAN CHASE & CO.

•    The role of data-driven insights in guiding marketing investment decisions and optimizing channel allocation strategies
•    Discuss how organizations can use real-time data analytics to track key performance metrics, monitor campaign effectiveness, and iterate on attribution models based on changing market dynamics and customer behaviors, ensuring that marketing efforts remain aligned with business goals and objectives

Beverly Wright, PHD, CAP, Academic Program Director, Data Science & AI, THE UNIVERSITY OF GEORGIA

•    The importance of leveraging historical sales data, market trends, and customer insights to develop data-driven sales forecasts
•    Discuss how organizations can use CRM systems and sales analytics tools to gain real-time visibility into their sales pipelines

•    Harnessing Data for Targeted Campaigns: Explore how to leverage data analytics to create highly targeted and personalized marketing campaigns that resonate with today’s consumers and drive sales growth.
•    Aligning Sales and Marketing for Success: Learn strategies for fostering collaboration between sales and marketing teams, ensuring data-driven insights are effectively used to optimize customer acquisition and retention efforts
Gunjan Aggarwal, Executive Director,  Data Strategy &  Marketing Data Solutions, NOVARTIS

•    How can organizations leverage customer data, segmentation techniques, and marketing automation to tailor content, messaging, and offers to individual preferences and behaviors
•    Leveraging customer data to segment their audience, identify unique preferences and needs, and deliver tailored content, messages, and offers at each stage of the journey

John Giaquinto, Vice President of Loyalty, Personalization & Analytics, RITE AID