The Big Data LDN Keynote theater is the centerpiece of the content program where subject matter experts, jetting in from all around the globe, present the latest intelligence and opinion on the industry’s hottest topics. In addition to the foremost speakers in the industry, the keynote track contains remarkable enterprise case studies, transformation journeys, and lively panel debates.

The sessions in this track separate the hype from the reality and brings artificial intelligence (AI) to life through real-world examples from a range of businesses. You will also find expert advice from those at the forefront of harnessing the power of predictive analytics, machine learning and deep learning algorithms.

For many companies who are capturing new and varied data sources using both modern cloud-based systems and legacy on premise ones, the navigation of their data landscape is becoming extremely challenging. This track will guide you through the data architecture maze, giving you a blueprint from which you can more effectively find, store, and govern your data while avoiding vendor lock in.

The Fast Data track investigates the increasing velocity of Big Data and explores how traditional “batch” processing is being replaced by streaming systems, promising instant data analysis, and rapid insight-to-action.

The DataOps track examines the tools and techniques required to collect, distribute, and control access to data.

These sessions focus on modern data management, integration, and analytics use cases.

This track demonstrates how business users can access and work with corporate data without a background in statistical analysis, business intelligence (BI), or data science. It will also cover how to minimize the risk of decision makers using data the wrong way and which environments prove to be most suitable.

These talks show how insights obtained from big data can power customer and citizen engagement and improve experience and interactions with government and commercial brands.

Headlines about privacy breaches and GDPR have brought corporate responsibility for data into sharp focus, threatening severe consequences for failure. Data quality and security issues are undermining the gains promised by the data revolution. These sessions provide answers and advice from a wide range of experts and highlights both the pitfalls to avoid and the barriers to clear to ensure success.