Big Data Paris

Come to San Diego and participate in an interactive summit designed for business, data science, and IT leaders who are responsible for selecting, managing, and delivering value from analytics applications, AI/ML, business intelligence, and the data that fuels them. Organizations count on analytics to innovate, attract and retain customers, improve efficiency, and determine risk amid today’s unpredictable and fast-changing economic landscape. However, TDWI finds that many struggle to move ahead. Organizations face difficulties that lead to user frustration, errors, and higher costs. As your analytics models, workloads, and data pipelines grow in number and complexity, orchestrating the journey into production and operationalization is a challenge.

AI is here to stay. But where it's going is up to us. As humans come up with new technologies, we evolve with them too. So, let's talk about the future of AI and analytics. This year at Experience Analytics we’ll examine the benefits and limitations of generative AI, discuss how AI can enable a sustainable future, and help us imagine a better working world. We’ll explore questions like: how do you infuse data and analytics to transform your business? How do you build your AI advantage and supercharge your business strategies? Join us for engaging TED style talks, interactive labs, learning sessions, peer discussions and the latest insights from industry leaders. We’ve got an exciting line up of thought-provoking speakers, and leading voices in this space to help inspire innovation and ignite new ideas for you to take back to your business.

Welcome to Customer Analytics Summit, the most exciting data & customer insights event of the year! The Customer Analytics Summit is specifically tailored to unpack the issues that are most relevant to the data & customer insights community. You'll get the chance to hear from some of the most successful leaders in data & customer insights and learn how they've maximized data-driven, actionable insights to unlock extraordinary customer value. Time for you to join the fun, you won't want to miss this action-packed conference!

The avalanche of data generated by companies and their customers should be a competitive advantage, but most companies are struggling to manage it all. Data accessibility, quality, governance and security are all critical for operationalizing machine learning applications, so the stakes are high. Emerging frameworks are helping us come to grips with these issues but the answers go beyond just technology.