Session will showcase how machine learning can maximize the power of Hadoop
Wellesley Hills, Mass. – June 8, 2015 – Applying machine learning to Big Data in a Hadoop environment is something all organizations want to do well but few can actually achieve. At this year’s Hadoop Summit North America in San Jose, Redpoint Global Senior Analytics Engineer Bill Porto will address the vital questions, common mistakes and key steps towards successfully implementing machine learning in Hadoop.
Now in its 8th year, Hadoop Summit is the leading conference for the Hadoop community. Over the course of three days, Hadoop thought leaders will showcase successful use cases, development and administration tips and tricks, and educate organizations about how best to leverage Hadoop as a key component in their enterprise data architecture.
During his presentation, Porto will discuss why continual, adaptive optimization is the key to maintaining a leadership position in the market. He will share real-world examples of how to apply predictive modeling and optimization to harness the full power and potential of Hadoop.
WHAT: Machine Learning in Big Data – Look Forward or Be Left Behind
WHEN: June 9th, 11:15 a.m. PDT.
WHO: Bill Porto, Senior Analytics Engineer, Redpoint Global Inc.
WHERE: San Jose Convention Center, San Jose, CA.
About Redpoint Global Inc.
With Redpoint’s software platform, innovative companies are transforming their customer experiences across the enterprise and driving higher revenue. Redpoint’s solutions provide a remarkably uniﬁed, single point of control where all customer data is connected and every customer touchpoint intelligently orchestrated. Delivering more engaging customer experiences, highly personalized moments, relevant next-best actions, and tangible ROI – this is how leading marketers lead markets. To learn more, visit redpointglobal.com.