How can we always be sure the stories we’re reading are accurate? Is there an agenda to distort facts to change opinions? Does a story assert falsehoods, misquote its subjects or rely on hyperbole? In short: is the news we’re consuming the truth? Or is it “fake news?” Meet Mike Tamir, an analytics
In this Q&A, IBM financial services solution architect Irina Saburova discusses an insurance use case with IBM Data Science Marketing Lead Rosie Pongracz. In this scenario common to the insurance industry, an organization needs to adjust its operations based on upcoming weather event and
It seems like CEOs all over the world are realizing that to be competitive, they have to embrace technologies like private cloud and artificial intelligence (AI). IBM Cloud Private for Data empowers organizations to be AI-ready with an integrated analytics platform.
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
Rather than worry about your future performance, work to be the best today. The rest will follow. Seize the opportunity to respond to customers in the moment, rather than react too late. That way, everyone benefits.
When you hire a life coach, feelings can often be mixed. Someone is helping you on the way to improving yourself, but that path is one you have to walk, and it can be tough. Feelings can be much the same about the European Union’s General Data Protection Regulation (GDPR), which some organizations
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
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.