Purchasing options outside of the office are diverse and varied depending on what people want to buy, where and when they buy it, and what they need it for. While shoppers might have personal preferences, they don't limit ourselves to one retailer for all purchasing decisions. So why do that in a
Platforms drive commerce. Whether in technology or other industries, the creation, acceptance and adoption of platforms spur innovation, efficiency, and productivity. Consider the U.S. Interstate Highway System, which dates back to the 1950’s, when a few companies and industry groups first began
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.
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.
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
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.