IBM Data Science and AI Elite team members Mehrnoosh Vahdat and Rachael Dottle were just one month into their IBM careers when they received their first assignment last July.
The project jettisoned them into the heart of Africa, where their banking client was looking to surface new business
James Fisher & Sons had hearty ambitions to build predictive maintenance capabilities for its customers' subsea cables -- but lacked the right data to do so. In a creative pivot, the IBM Data Science and AI Elite team delivered more than what the heritage engineering company bartered for --
Learn how marine solution provider James Fisher and Sons plc and the IBM Data Science and AI Elite team surge towards a renewable tomorrow with the electrifying power of data visualization built on IBM Watson Studio.
Today’s data science and analytics teams are often composed of individuals with a variety of skill sets, educational backgrounds, levels of exposure to open source tools and professional needs. Here’s a typical breakdown:
Business professionals need straightforward ways to first discover and then
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
The transition to a modern business intelligence and analytics platform helps create value by getting deeper insights from diverse data sources. But how can organizations make this transition? By focusing on four important areas.
Creating a visualization whose design serves its intended function—rather than the other way around—can be intoxicating, but don’t get so high on data that you lose sight of your audience. Find out how including too much information can neutralize your visualization—and your message with it.
As we’ve learned, choosing an appropriate level of detail lays the foundation for an effective visualization. But if you simply take your first design idea and run with it, you might be doing your data a disservice. Find out why redundant visualizations can turn detail into too much of a good thing
In a world built on sensors, businesses that want to act on data at scale require analytics solutions capable of gaining insights from data in real time, allowing them to make the right decision at the right time.
Watson Analytics is not only revolutionary but also unlike any other analytics solution. At the event, which is called: Analytics for All: Empowering Everyone to Know, customers will share how they're improving their business with Watson Analytics.
The most efficient way for data scientists to convey vital information is through visualizations—but if they aren’t easily understood, critical insights may become lost. Here’s a quick and handy guide to creating data visualizations that are appropriately detailed to ensure maximum effectiveness.
Data visualization techniques can give data scientists a vital tool for representing the data that analysts and line-of-business users need to make strategic decisions. Discover how a few simple considerations of a specific data set in a real-world use case enables data scientists to implement cost
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
There is data accumulating in school systems and the classroom that has vast potential to build stronger curricula and better learners. The time for transforming instruction through education analytics has come.
Powerboat racing is a fast-moving sport, with events often spanning many square miles of ocean fronts, lakefronts or riverfronts. It is also an extremely high-tech event in which SilverHook Powerboats is tracking its racing powerboats in real time with the latest technology.