Data Management Best Practices for Machine Learning

SPECIAL DBTA ROUNDTABLE WEBINAR

THURSDAY, JANUARY 31 - 11 am PT / 2 pm ET



Machine learning is on the rise at businesses hungry for greater automation and intelligence with use cases spreading across industries. A recent study fielded amongst the subscribers of Database Trends and Applications found that 25% currently have machine learning initiatives underway with another 20% considering adoption. At the same time, most projects are still in their early phases. Machine learning is still the new kid on the block. From selecting data sets and data platforms to architecting and optimizing data pipelines, there are many success factors to keep in mind. To educate its readers about the key technologies and strategies, Database Trends and Applications is kicking off 2019 with a special roundtable webinar on January 31st. Reserve your seat today to dive into this exciting new area with our experts. Sign up to reserve your seat today for this webinar titled "Data Management Best Practices for Machine Learning." Audio is streamed over the Internet, so turn up your computer speakers! About TigerGraph: TigerGraph is the world's fastest graph analytics platform feeding machine learning systems with hundreds of billions of features every day to improve accuracy for fraud and money laundering detection & personalized recommendations. TigerGraph's proven technology is used by Intuit, VISA, Wish, China Mobile, and Zillow. Follow TigerGraph on Twitter at @TigerGraphDB or visit www.tigergraph.com About Databricks: Databricks' mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Databricks provides a Unified Analytics Platform powered by Apache Spark for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership.