Many people agree that artificial intelligence (AI) is the key to the future of business. However, unlocking the full potential of AI has proven elusive for many companies, especially at the enterprise level.
Where is AI headed? How should you be thinking about AI? What should you be doing with AI? To answer these questions, we recently convened a round table of tech influencers to discuss some of the most burning issues arising from AI — starting with why we should think of it as “augmented
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
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 today have tremendous opportunities to transform their professions, businesses and industries. They must optimize their use of advanced analytics and capitalize on all available data. With the right solutions, they can gain clarity about their business, generate new insights and take
An important ingredient for any successful business is its staff. And yet recent research shows that human resources ranks lowest among front office operations when it comes to using predictive analytics, particularly to recruit and retain the right professionals for the right positions. But that
Smart predictions can spell the difference between whether your company succeeds wildly or falls by the wayside. Get the details on four strategic pillars for smart, proactive business through predictive analytics deployment in a series of new blog perspectives.
Understanding your data’s life cycle can help you lay a solid foundation for your business analytics, preserving the integrity of your data even as you define that data, track it and use it to drive your business decisions. Find out how keeping tabs on your data lineage can empower your information
For some, Wednesdays at Insight conferences can be the last day of the event when the morning general sessions feature a luminary speaker or speakers from other industries such as arts and entertainment, sports and others. Generally, all the big news and exciting announcements take place on days
Organizations increasingly depend on business intelligence (BI) to power their data-driven cultures. To generate useful insight, however, companies must make sure their environment incorporates all the capabilities of a truly 21st-century BI solution.
Ultracyclist David Haase has always relied on gut feelings when making critical decisions during races. However, for his 2015 attempt to become the first American to win the extremely competitive Race Across America, Dave turned to IBM Analytics to help him make crucial decisions in real time. By
Inaccurate perceptions of predictive analytics are common in the business world. In reality, predictive analytics is straightforward to understand, can leverage existing skillsets in business and IT organizations, and can deliver value in most industries and lines of business. Getting started with