Data can be an organization’s most valued asset, providing insights that help strengthen business. Knowing what works and what does not can help you invest more resources in what would work in the future. Learn more about the Watson Knowledge Catalog.
Are you getting enough sleep? On this week's episode of Making Data Simple, Dr. Kyu Rhee, vice president and Chief Health Officer for IBM Watson Health, joins us to talk about how machine learning, AI, and Watson are advancing healthcare initiatives. Learn how far the health industry has advanced,
Rob Thomas, general manager of IBM Analytics, discusses the principles that guide the IBM Analytics business and have led to its latest major offering: IBM Cloud Private for Data, a platform for high-performance analytics that powers cloud-based applications so companies can be ready for AI.
On this week's episode of Making Data Simple, Susara van den Heever, Data Science Program Director, IBM Analytics, sits down with us to give insights on practices that improve business efficiency and effectiveness. Learn the differences between predictive and prescriptive analytics, and how to
Data science and machine learning provide the basis for business growth, cost and risk reduction and even new business model creation -- but implementing predictive analytics does present some challenges. IT Central Station members have shared tips that help organizations overcome the challenges in
In this episode of Making Data Simple, Ember Crooks, Db2 Lead DBA and Delivery Manager at Xtivia, IBM Champion and IBM Gold Consultant, sits down to talk about her experience in the data science field. She shares her industry expertise, career goals, and tips for those looking to venture into the
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
Natural disasters seem inescapable, leaving us feeling vulnerable in the hands of nature. How is this possible, given all the data and technology that surrounds us today? Can’t experts get better at prediction, and even try to stave off more natural calamities or more effectively reduce the loss of
Whether you are a start-up or a large corporation, you need to engage your team to drive engagement and business results. Katharine Kearnan, senior communication manager, IBM Analytics, and Alexa Youssefian, communications and social media specialist, IBM Analytics, join us this week to discuss
Back by popular demand in this week's episode is Nancy Hensley, Director of Offering Management for IBM Hybrid Cloud. Nancy is joined by Sean Ellis, CEO and founder of GrowthHackers.com, who coined the term growth hacking several years ago. Sean and Nancy share ways to find the Northstar metric for
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
Running a machine learning pilot project is a great early step on the road to full adoption. To get started, you’ll need to build a cross-functional team of business analysts, engineers, data scientists and key stakeholders. From there, the process looks a lot like the scientific method taught in