The retail industry has experienced massive disruption over the past several years. Buyer behavior has radically changed with the continued expansion of online shopping. Now, data, machine learning and AI are set to change the industry yet again. Listen to the first in a two-part episode with
Faster than a speeding bullet. More powerful than a locomotive. Able to leap massive data sets in a single bound. Meet Jennifer Shin, an analytic pro with data superpowers, enshrined in comic book form.
Faster than a speeding bullet. More powerful than a locomotive. Able to leap massive data sets in a single bound. Meet Bob Hayes, the president of Business Over Broadway, an analytics pro with data superpowers, enshrined in comic book form.
Moving data often impacts system performance, so how do you move large volumes of data safely and securely? The importance of data movement is even more critical when you consider moving data from ground to Cloud. Joe Bostian, z Systems Data Science Architect, IBM Analytics, and Mythili
Hard to believe we've arrived at the last day of Think 2018. From keynotes to panels, informal collaborations and learning sessions, we've witnessed first-hand the excitement that conversations about data and analytics bring to business.
Learn how to simplify your machine learning journey with tools to train a model behind your firewall and one-click deploy to the cloud. Hosted by Trisha Mahoney, Data Scientist, IBM and Andrea Garcia, Software Engineer, IBM.
Think 2018 is in full swing. We’re inspired hearing from leaders across industries using analytics to transform their business. And we’re thrilled to take part in conversations about data science, machine learning, AI and much more. Here are some highlights from Wednesday at Think.
The excitement, insights and innovation at Think 2018 is truly astounding. Today we heard from IBM Chairman, President and CEO, Ginni Rometty, plus industry leaders and clients who are transforming whole business sectors.
Human beings tend to filter out events they deem unimportant. They can only process so much at any given time. Computer systems, however, must be able to handle a massive number of events in real time or near-real time to help support a wide range of applications.
http://www.ibm.com/us-en/marketplace/integrated-analytics-systemHow is data science changing with the availability of high-performance data platforms? Vikram Murali, director of IBM Integrated Analytics Systems and Db2 Event Store development, Jay Wentworth, STSM of appliance architecture, and
Watch to learn how to drive faster insights as machine learning accelerates data classification and quality. Featuring Madhu Kochar, VP Analytics Development, IBM and Anantha Narasimhan, Program Director, IBM.