Data Science
IBM Melds Data Science, Business Intelligence on the Cloud
As enterprises turn to artificial intelligence (AI) to beef up business performance and drive competitive advantage, IBM is working to make analytics, data science and machine learning – the core of AI – more accessible and easy for any organization, large or small, via the cloud. It’s no surprise that large organizations understand the value […]
Bringing Precision Weather Forecasting to Motorsports with Aston Martin Red Bull Racing
From precision manufacturing and aerodynamic calibration, to tire selection and race-day strategy, Formula One racing is a data-driven sport. To win, racing teams must excel on the razor’s edge, balancing control and strategy with technology and the ability to make critical, real-time decisions in a high-stakes, high-speed environment. Cars can accelerate to 100mph in less […]
The Next Enterprise Platform
“What ultimately makes a platform worth using in the long run are the applications that run on it.” – Ben Thompson, Stratechery 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, […]
Empowering the New Data Developer
After years of frustration with the trucking industry’s slow and inconsistent processes for loading and unloading cargo, Malcolm McLean in 1956 watched as his SS Ideal-X left port in New Jersey loaded with 58 of the world’s first intermodal shipping containers – a product he invented and patented. The defining feature of his container was […]
Helping Data Science Flourish – One Client at a Time
By now, in 2018, most enterprises have established some type of program to utilize math to help them make money. For many this means taking advantage of data science, or more specifically, machine learning. But despite seemingly widespread adoption, some studies show that more than two-thirds of these companies are failing to realize value from […]
Scaling the AI Ladder
The first automobile was driven down the streets of Detroit in 1890. It would take another 30 years before Henry Ford streamlined production and made cars available to the mass market. The obvious lesson: sometimes technology has a long gestation period, before we can scale it for everyday use. But, digging a bit deeper, there […]
The Science Behind IBM’s Data Science Design
Data science is a rapidly evolving discipline that leverages an ever-widening array of tools and capabilities to learn and exploit. Because of such inherent complexities surrounding adoption, integration and support, the work of the data scientist can be daunting. That complexity is one of the reasons IBM several years ago set out to bring clarity […]
The Importance of Creating a Culture of Data
Using and exploiting artificial intelligence (AI), is a goal for many enterprises around the world. Of course, before you can begin working with the cognitive technology, a number steps have to be taken. For starters, AI requires machine learning and machine learning, requires analytics. And to work with analytics effectively, you need a simple, elegant […]