Step-by-step guide to building your Data & AI portfolio: streamline processes, and maximize value creation

Many organizations navigate their Data & AI strategy in a fragmented, ad-hoc manner, which can introduce a myriad of challenges, including excessive reporting, misaligned investments, and progress-blocking dependencies. These issues not only complicate project management but also obscure the true value of Data & AI initiatives during critical business transformations.

By embracing a portfolio management approach, companies can achieve enhanced visibility and foster the adoption of industry best practices, guidelines, and frameworks. This structured method lays a robust foundation for prioritizing investments and aligning workstreams, thereby improving efficiency in reporting progress and adapting strategic plans— all while effectively managing value, risks, and costs.

This session introduces a pragmatic and straightforward implementation approach, designed to streamline your readiness for the EU AI Act and showcasing the tangible value of your Data & AI strategy. This is instrumental in growing Data & AI literacy, animating the transformation and building a persuasive argument
for increased budget allocation.

Join us to explore how structured portfolio management can be a fast-to-deploy game-changer for your organization's Data & AI ambitions.