Strata Data & AI Conference

There is no doubt that Chief Data Officers (CDOs) have an extraordinary opportunity to utilize their organizations’ enterprise data assets, enable data-driven decision-making and implement digital transformation at scale — all of which are highly needed, especially in the post-pandemic period. In demand, CDOs are in a highly strategic, visionary role to unlock the power of their organizations’ data for AI-infused applications and long-term autonomous enterprise efforts. While the first generation of CDOs was mostly about defense-driven, risk-mitigating endeavors, with an emphasis on data governance, the next generation is about building an enterprise-wide data platform to bring business value out of data.

Big Data LDN (London) is the UK’s leading free to attend data & analytics conference and exhibition, hosting leading data and analytics experts, ready to arm you with the tools to deliver your most effective data-driven strategy. Discuss your business requirements with over 100 leading technology vendors and consultants. Hear from 200 expert speakers in 12 technical and business-led conference theatres, with real-world use-cases and panel debates.

Gain knowledge, get inspired, and experience a unique conference that brings data and analytics to life as only Disney can. The Disney Data & Analytics Conference (DDAC) has a rich history of delivering exceptional content focused on data and analytics to business professionals of all backgrounds. From engaging breakout sessions to interactive networking opportunities, we’re confident you’ll see examples of how data-based, analytical decisions work in all areas of business.

Big data and artificial intelligence are game changers when it comes to gathering insights and automating tasks. Integrating these technological advantages into organisations and the whole value chain poses big challenges to companies wanting to future-proof their business models. Concrete steps towards this goal come with a multitude of questions regarding necessary data foundations, successful scaling of intelligent applications, and legal and social circumstances.