Analyze your way to business success. Learn more about data analytics and visualization from speakers like Marc Altshuller, General Manager, IBM Business Analytics, at Fast Track Your Data - live from Munich or join online June 22, 2017. Register now.
Imagine what you could build if you could leverage all the data that you couldn’t access before? Learn about hybrid data management from speakers like Nancy Hensley, Director, Growth & Strategy, IBM Analytics, at Fast Track Your Data - live from Munich or join online June 22, 2017. Register
Nick Pentreath of the Spark Technology Center teamed up with Jean-François Puget of IBM Analytics to deliver the main talk of the Spark & Machine Learning Meetup in Brussels, "Creating an end-to-end Recommender System with Apache Spark and Elasticsearch."
At the recent Spark & Machine Learning Meetup in Brussels, Holden Karau of the Spark Technology Center delivered a lightning talk called "A very brief introduction to extending Spark ML for custom models."
At the Spark & Machine Learning Meetup in Brussels on October 27, 2016, Pierre Borckmans of Real Impact Analytics delivered a lightning talk called "Writing Spark applications, the easy way: How to focus on your data pipelines and forget about the rest."
Watch this two-minute demo to learn how you can better understand your clients and better manage their portfolio. Clients want to receive personalized advice and tailored portfolio recommendations. How can wealth management firms leverage data to not only enhance the client experience, but to also
The average person makes as many as 35,000 decisions during any given day, and that begs a question: How many decisions does a business make during the same span of time? If your analytics tools don’t have good data, you probably aren’t getting useful or timely answers to inform your decisions.
Intelligence used to be about response time, but today’s intelligence officers can use analytics to prevent threats before they occur—and to shut down attackers before they can get away. Uncover the who, what, when, where, how and why of each threat using analytics solutions.