Session featuring Data Monsters
Govern and Manage Your Data Lake
Data lake becomes a beautiful concept through the past several years, big data technology today enables IT to process and store huge amount of data in the cloud for people to utilize, building data lake to just quickly ingest all the data and let others to self-serve sounds a beautiful idea. But is it that easy and beautiful in reality? Here we will browse eBay's experience from the past several years on how to manage and purify the data lake enable the disciplined innovation through: Understand what you have in the lake How is the quality, what is wrong When to expect the data be available Where the data is coming from How the data is generated Who is using the data What business value the data is generating Production management policy etc.!
Session featuring Qlik
Leveraging Advanced Analytics in Media & Entertainment
Networking Coffee Break
Deriving Insights from IoT & Mobile Data
Data Science Methods in Health Care
Session featuring Anodot
Big Data: Today's Prescription for a Healthier Future
Building an Effective Data Strategy
Demystifying ML & AI
Networking Coffee Break
HR in the age of Data Science
Many companies are now using Machine Learning and other AI tools to mordenize Human Resource (HR) Analytics. Join Cesar's presentation to hear his perspectives on how Data Science is revolutionizing HR. His presentation will cover Data Science use-cases in several HR functions including Talent Acquisition and Employee Career Management.
The Secret Sauce for a Successful Analytics Project
What do organizations do to enable successful analytics projects? How can leaders make sure that analytics-related projects are successful? Discover what people, processes, and technology can be brought together in a simple and straightforward way when creating a scalable and sustainable solution for your internal or external customers. In this presentation, you will learn what Houghton Mifflin Harcourt is able to do with their customers to help them gain value from their data. Gaining value from data quickly is of utmost importance – especially in projects where a lot is at stake.
Driving Personal Insurance Growth & Profitability through Machine Learning & Analytics
Networking Drinks Reception
Registration and Breakfast
Deep Learning: Stock market Prediction
Data Quality vs Quantity - Getting the Best of Both Worlds
Data based business decisions often come with implicit assumptions about the data points behind them - namely that the data are accurate, comprehensive and actually answer the right questions. This is not always the case and organizations are often faced with the choice between investing in good quality data points for their key business metrics or capturing a wide swath of data with questionable business value. At XO we don’t believe we should have to make that choice and have evolved both our philosophy and execution to get the best of both worlds.