Ali Ghodsi (Databricks)
In this talk, we will highlight the opportunity data presents to tackle world’s toughest problems. In spite of the promise that data presents, most data teams are challenged with data, technology and organizational silos. Unified Data Analytics presents a radically different approach to unlock the data potential by unifying all your data with your analytics – from Business Intelligence to Machine Learning.
Michael Armbrust (Databricks), Brooke Wenig (Databricks), Burak Yavuz (Databricks)
In this talk, we will highlight major efforts happening in the Spark ecosystem. In particular, we will dive into the details of adaptive and static query optimizations in Spark 3.0 to make Spark easier to use and faster to run. We will also demonstrate how new features in Koalas, an open source library that provides Pandas-like API on top of Spark, helps data scientists gain insights from their data quicker.
Dr. Stephen Galsworthy (Quby)
Energy wastage by residential buildings is a significant contributor to total worldwide energy consumption. Quby, an Amsterdam based technology company, offers solutions to empower homeowners to stay in control of their electricity, gas and water usage. Using Europe’s largest energy dataset, consisting of petabytes of IoT data, the company has developed AI powered products that are used by hundreds of thousands of users on a daily basis. In this talk Stephen will describe Quby’s approach, explore the challenges of scaling data products and explain the empowering role of unified analytics and the Databricks platform towards the data, the technology and the organization itself.
Oriol Vinyals (Google DeepMind)
In this talk, I will introduce our StarCraft II program AlphaStar, the first Artificial Intelligence to defeat a top professional player. In a series of test matches held on 19 December, AlphaStar decisively beat Team Liquid’s Grzegorz ‘MaNa’ Komincz, one of the world’s strongest professional StarCraft players, 5-1, following a successful benchmark match against his team-mate Dario “TLO” Wünsch. (The matches took place under professional match conditions on a competitive ladder map and without any game restrictions.)
