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
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.
Think 2018 in Las Vegas was a record breaking event, where tens of thousands of attendees gathered to talk with one another and share their experiences. Visionary speakers and experts shared their solutions for some of the world’s most daunting challenges.
Most organizations are moving software development methods to newer agile methods to benefit from better technology capabilities, delivered more rapidly and with improved quality. But, finding the "right data" for agile development and continuous testing can be tricky. Learn how to make it simpler.
There’s a general need for next-gen executives to not only understand corporate regulations, but be able to adhere to and follow them using metadata solutions like data governance. As the business world’s top asset becomes data, data governance will ensure that data and information being handled is
March 16, 2018 is the 25th anniversary of the Db2 relational database product on Linux UNIX and Windows. Over the past 25 years, this team has built the Db2 brand for the distributed product, complementing IBM’s Db2 mainframe offering and creating a market force.
In this special podcast, our Making Data Simple Podcast host Al Martin is joined by Caleb Curry, data guru for IBM Hybrid Cloud, and Sam Lightstone, IBM fellow of analytics, to talk about their session at the IBM Think 2018 Conference: "Next-Generation Data Management: Power and Simplicity to the
How does artificial intelligence (AI) come into play on a day-to-day basis? In this episode of Making Data Simple, Jean-François Puget, distinguished engineer, machine learning and optimization, and Steve Moore, senior story strategist for Inside Machine Learning on Medium, join host Al Martin to
Your business and your data are both unique. For that reason, your enterprise architecture must also be tailored to fit the exact needs of your business. When data is involved, you want choices, not trade offs. And, more importantly, you want your solutions to build upon and complement one another.
Many industries are tuning in to the importance of customer support as a strategic differentiator. Every interaction with a client is an opportunity, and support interactions provide one of the richest ways to connect. Bob McDonald, vice president of support transformation and training, and Tracy
Join us 27 February at 1 PM ET for "Machine Learning Everywhere: Build Your Ladder to AI." Visit the event landing page to learn more about the event and register for a calendar reminder: ibm.com/mleverywhere
Whether you want to build a bridge, explore the sea, or simply try to identify new markets, you will only be as good as the data you use. This means it must be complete, in context, trusted and easily accessible to drive insights.