Data & Analytics Live (Online Event) schedule

• Learn about the latest trends in data management and how addressing data quality, integration of data from multiple sources, and data governance can help future-proof your data strategy. 

• Discover how organizations are tackling the issue of non-standardized data formats, such as varying units, currencies, and dates, to ensure reliable and actionable insights. 

• Understand the importance of robust data governance frameworks that ensure compliance, security, and the consistent application of standards across data sources. 

• Explore the ethical considerations and implications of using AI in data analytics, especially in regulated industries. 

• Gain insights into building a robust data governance framework that prioritizes privacy and security, addressing data privacy concerns. 

• Discuss how to balance innovation with responsible AI practices, ensuring transparency and compliance with ethical standards. 

Speakers: 

- Chris Hutchins, SVP, Lifepoint Health

- Robert Keefer, Associate Director, Security Operations, The Pew Charitable Trusts

Chat available for networking and discussions. 

• Explore how leading organizations are overcoming data silos to create a seamless flow of data across departments and systems. 

• Learn about the challenges of integrating data from multiple sources and the critical role that data standardization plays in improving data quality and accessibility. 

• See a real-world case study that demonstrates how standardized data and integration techniques lead to consistent and reliable insights.  

• Learn how to build and manage scalable data lakes that handle unstructured data effectively. 

• Discover how AI and machine learning can automate data processing and uncover hidden insights. 

• Explore ways to integrate unstructured data with structured datasets for more comprehensive analysis. 

• Hear real-world examples of how unstructured data is transforming decision-making and operational efficiency. 

Speakers: 

- Victor Tewari, Senior Vice President, Wealth Management & Private Banking, Chief Data Office, Citi

- Tarun Sood, Chief Data Officer, American Century Investments 

Chat available for networking and discussions. 

• Discuss best practices for maintaining high data quality while integrating data from real-time sources, focusing on overcoming resistance to change and optimizing cost management. 

• Understand how to optimize ETL (Extract, Transform, Load) processes to ensure the accurate and timely availability of data for analysis. 

• Learn how real-time data integration can break down silos and enable faster, more informed decision-making across the enterprise. 

• Learn how AI-powered analytics can drive business transformation and overcome inadequate know-how and resistance to change, particularly in the implementation of AI technologies. 

• Discover strategies for integrating AI into your data analytics initiatives to deliver measurable business value. 

• See a case study on how data and AI analytics are used to enhance customer experience. 

• Learn practical strategies for personalizing customer interactions using data and AI insights. 

• Understand the impact of data-driven decision-making on customer satisfaction and loyalty. 

Chat available for networking and discussions. 

• Discover best practices for attracting and retaining top talent in the highly competitive field of data analytics. 

• Learn how leading organizations are overcoming the talent recruitment and skill gap, a key barrier in 2025 and beyond. 

• Explore strategies for ensuring executive leadership alignment with data-driven initiatives, building a strong data culture that permeates the organization and fosters responsible AI practices. 

Moderator:

Ben Donlon, Managing Partner, Banks to Your River 

Panelists:

- Perceval Sondag, Senior Director - Digital Transformation and Data Science, Novo Nordisk 

• Learn how attackers exploit weaknesses in AI models by generating adversarial inputs designed to deceive and disrupt AI systems in real-world applications. 

• Gain insights into strategies like adversarial training and robustness enhancement that are being used to strengthen AI models against adversarial threats. 

• Discover how to integrate security measures into AI development and deployment processes to effectively manage and mitigate the risks posed by adversarial machine learning. 

Chat available for networking and discussions. 

• Explore how predictive analytics and AI technologies can proactively identify and mitigate security threats while maintaining compliance with data privacy regulations. 

• Learn how companies are integrating AI-driven solutions into their security frameworks to enhance data privacy and maintain regulatory compliance. 

• See real-world case studies that showcase the successful implementation of predictive models and cognitive technologies to strengthen security and data integrity.