While the proliferation of data will be readily apparent, deciding what to do in response will be less straightforward. The majority of workloads currently sit in traditional, on-premises environments but we’ll see many of them move to private and public clouds over the next over the next five
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
The greatest grandmasters in chess think five moves ahead. In IT, even thinking five moves ahead isn’t enough. A lot of things can happen, planned and unplanned, within the first five moves of an IT strategy deployment that cause a significant amount of disruption both concurrently and long
Big Data and Analytics Hub spoke with IBM Distinguished Engineer John Thomas (@johnjaithomas) about some of the importance of tuning information architecture to make algorithms meet enterprise needs, as well as how machine learning can most effectively be applied in hybrid scenarios in 2018.
Big Data and Analytics Hub spoke with IBM Distinguished Engineer John Thomas (@johnjaithomas) about some of the importance of focusing on information architecture to make algorithms meet enterprise needs, as well as how machine learning can most effectively be applied in hybrid scenarios in 2018.
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.
Earlier this year, IBM held the “Fast Track Your Data — Live from New York” event for thousands of our clients. Our mission: to help business and technology leaders better understand the critical importance that data and analytics play in an organization’s digital transformation. Technology
The 2017 Data Governance Winter Conference on 4 - 8 December covered topics ranging from how to start a data governance program to attaining data governance maturity to how to improve your organization’s information quality. After attending, Brian Mayer, business ready data practitioner, and Mark
Managing enterprise information has always been a good idea, however with the potential for looming penalties from the General Data Protection Regulation (GDPR) non-compliance, companies are waking up and some organizations are even seeing GDPR as an opportunity to establish strengthened
Organizations everywhere, from massive governments to the smallest start-ups, are in a race for the best-possible data expertise and tools. To help your team understand the data science journey, IBM created the Data Science for All webcast.
Information analytics has never been a “one size fits all” proposition. That applies to the hardware and software technologies organizations employ, the information being parsed and the goals of specific projects.
In most modern-day organizations, external macros tend to be very influential — leaving little bandwidth for optimizing data governance. And, as stricter data storage and security compliance regulations come into play, it's becoming more and more critical for organizations to ensure they have the