Data and analytics leaders can use the concept of a “franchise” to communicate the optimal organizational model, data architecture and governance framework that large enterprises require to scale self-service analytics programs.

Discover how leading enterprises are transforming financial planning with AI-driven automation, predictive insights, and dynamic decision-making. In this session, we’ll share best practices and real-world use cases of clients leveraging
IBM Planning Analytics to streamline forecasting, enhance agility, and gain a competitive edge. We’ll explore the latest advancements in Agentic AI; intelligent assistants that proactively analyse data, detect outliers, and recommend next steps, empowering finance teams to operate with greater speed and precision.

With new pressures coming from AI, CDAOs must be agile in implementing and enabling business innovation. But, with quick adaptation, inevitably comes stress on traditional D&A delivery processes and practices. Join this interactive session to lean how to: clarify strategies to support business innovation, design adaptable and scalable delivery models and collaborate with business units to ensure value of D&A capabilities and services.

Hear how Mercy Corps leveraged Cloudera’s AI to transform data into actionable insights, enabling agile responses in crisis situations. The session will provide some principles on how to setup a scalable AI capability in your organisation and explore the Mercy Corps connection between data systems and organisational goals, which has allowed them to convert complex data into immediate, actionable insights. This approach can offer valuable guidance for other industries looking to expand their decision-making capabilities through AI.

Hear the latest best practices for harnessing Appian’s low-code, process automation platform including key technologies such as data fabric and Process HQ. Discover the power of real time, business generated data insights, dashboards and process insights that can transform the way business owners make agile, data-based decisions.