On this special episode, we sit down and talk to one of the Db2 legends, Matt Huras, Chief Architect for Db2 LUW, an IBM Master Inventor with 54 granted U.S. patents, a prolific public speaker and member of the International Db2 Users Group Hall of Fame. He reflects on retiring from IBM, the key
Building on the success of the IBM Chief Data Officer Strategy Summit Fall 2017, the IBM Chief Data Officer Summit Spring 2018 took place 1 - 2 May in San Francisco. We've collected a full social recap in the below Twitter Moment, as well as interviews and keynote videos for you to peruse.
This week, Dez Blanchfield, Strategist and Data Science Practitioner at Gara Guru, and Bob Hayes, Data Scientist and President of Business Over Broadway, debate the role of Clickers versus Coders in the Data Science industry. Is one role more critical than the other? What skills are required to be
Making your data lake a “governed data lake” is the game changer. Without governance, organizations risk securing the data and as well as protecting it. When data is cataloged and governed, an organization can effectively discover, classify, track history and lineage, quality of data and thereby
On the second episode of Data Decoded, Seth Dobrin, VP & CDO of IBM Analytics discusses his role as a Chief Data Officer at IBM and the latest IBM Analytics announcements from Think 2018, from IBM Cloud Private for Data to launch of the Data Science Elite Team.
Every business is a data business. But not every business uses their data to solve business problems and compete more effectively. Nancy Hensley, Chief Digital Officer in IBM Analytics, joins us on this week’s podcast to discuss digital transformation and how you can use data and analytics to find
Most sales-driven organizations have needed a customer retention model at some point or another. The request is fairly straightforward: identify the customers that a business might lose. But the process can create a nightmare.
Welcome to Thoughts on AI, a new blog series focused on issues and advances in artificial intelligence. We’ll cover the technologies and people shaping the future AI. First up: avoiding bias built into intelligence and analytics.
In part two of our discussion about data in the retail industry, we continue to explore how the massive disruption in retail industry over the past several years. Data, machine learning and AI are set to change the industry yet again. Join Patrick Pitre, Analytics Client Architect IBM Cloud, and
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
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.
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.