Welcome to Thoughts on AI, a new blog series focused on issues and advances in artificial intelligence. We’ll cover the technologies and people shaping the future AI. First up: avoiding bias built into intelligence and analytics.
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
Faster than a speeding bullet. More powerful than a locomotive. Able to leap massive data sets in a single bound. Meet Jennifer Shin, an analytic pro with data superpowers, enshrined in comic book form.
Faster than a speeding bullet. More powerful than a locomotive. Able to leap massive data sets in a single bound. Meet Bob Hayes, the president of Business Over Broadway, an analytics pro with data superpowers, enshrined in comic book form.
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.
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.
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.
Augmented reality (AR) and augmented intelligence systems such as Watson are breaking data outside the confines of a two-dimensional monitor and putting them into a three-dimensional visualization format. Big Data and Analytics Hub spoke with IBM AR designer Ben Resnick about what’s next for
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