In part two of our podcast episode on Blockchain, Soma Shekar (Software Architect, IBM Analytics) discusses the enterprise application of blockchain in Master Data Management - going beyond blockchain application in cryptocurrency.
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.
For years, the relational database has been the stalwart backbone of organizational operations. Its set structure of rows and columns is perfectly suited to capture the data being generated from daily transactions reliably and efficiently.
By 2025, there will be 180 trillion gigabytes of data in the world, compared to only 10 trillion gigabytes in 2015. Of this, 90 percent will be unstructured, which is why many organizations are adopting open source data lake technologies such as Apache Hadoop to handle this expanding volume and
Each insight is useful for only a limited amount of time, so organizations that don’t closely track their insights’ shelf lives may be making poor decisions because of outdated information. Learn how to fix this.
Blockchain — it’s one of the hottest topics in the tech industry, but what exactly is it? Yves Mulkers (Founder of 7wData) and Erik O’Neill (IBM Entity Analytics, Sr. Offering Manager) discuss the history of blockchain and what is means for businesses wanting to get ahead in the world of data.
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.