Successful data science teams require the alignment of technical talent, business goals and collaborative culture to drive high-impact analytics outcomes. Leaders and members of these teams have a vital role to play to ensure optimal collaboration and impact. This session highlights what modern data science teams look like, the vital and exciting work they do, and how to ensure these teams thrive.

Rapid changes demand innovative decision-making tools beyond traditional methods. Businesses are turning to AI, BI, and data science to gain a competitive edge. The perfect blend of these technologies can be a true differentiator.

- Take a quick look at what to expect from this session
- Challenges in data and analytics today
- Unlocking the power of AI, BI, and data science
- The transformative role of AI-powered self-service BI platforms
- Live demos of next-generation analytics in action

Learn how these innovations can drive better decisions to deliver transformative business outcomes.

How can data science accelerate the energy transition? In this session, UK Power Networks’ Data Science team presents real-world tools driving a smarter, more flexible electricity grid on the path to Net Zero. From democratising access to grid insights to automating decision-making for clean energy, this talk highlights how applied AI and analytics are transforming infrastructure at scale, with lessons for any data professional tackling high-impact, real-world problems.

While AI is popular in the media, surveys show about half of organizations struggle with basic data science, fearing they will fall behind. This fear can hinder progress, especially in certain industries. However, they don't have to choose between AI and foundational data science. By combining predictive and prescriptive analytics, organizations can leverage the best of both worlds to create better solutions.

Five years ago, Rolls-Royce had no dedicated data science capabilities. Today, over 7,000 users—from coders to citizen data scientists—actively leverage AI. This transformation extends beyond technology, emphasizing AI democratization, a data-driven culture, and responsible scaling. This session explores key strategies for enterprise-wide adoption, from use case ideation to realisation of significant AI value.

D&A value is not possible without data storytelling that offers a better way to engage communication findings than just BI reporting or data science notebooks. Join this session to know about the fundamentals of data storytelling and how to fill the gap between data science speakers and decision makers. It further discusses how to tell the best data storytelling and how to upscale data storytelling for future in landscape of GenAI.