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.
Hard to believe, but we’ve arrived at the final day of Think 2018. It’s been thrilling to be part of the energy flowing through the Cloud & Data Campus. We’ve seen an unprecedented level of engagement around analytics and the future of data-driven decision-making. But we’re not done yet. Here
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.
Are you ready for another exciting day of Think 2018? There’s a big day planned for you at the Cloud & Data Campus and we’re here to help you navigate the many exciting sessions. Here are our top analytics picks of the day.
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.
The second day of Think 2018 is here, and there’s an abundance of things to see and do at the Cloud & Data Campus. Here are the not-to-miss Think 2018 keynote speeches, demos, panels, training labs and other hands-on activities for Tuesday, March 20, both at the event and by tuning in online.
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.
For decades, a company’s database usually had a single job: operating as either an operational — also known as transactional — database or acting as a data warehouse. It was also typically deployed in a single location: on premises. Today, companies not only want more from their databases, but also
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
With businesses requiring foresight into emerging technologies and relying on nimble responses, successful architects must know how to get the most of their data infrastructure and build for the future. That’s exactly why they need to set aside a few days in March to attend Think 2018 in Las Vegas.
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.
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
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.