Blog Post:Disney Magic is alive and well. Take its MagicBands -- the all-in-one wristband that connects us to our entire Walt Disney World vacation, letting us enter the parks, unlock our hotel rooms, and buy food and merchandise. Even more magical, or so it seems, is how Disney shares surprises personalized just for its visitor, such as an occasional photo of the family on the ride they just finished or awarding fast passes for the day. Those experiences might feel enchanted, but MagicBands actually use artificial intelligence (AI) with data compiled from all its visitors so Disney can provide memorable experiences along every point of our visit. We eat it up, and keep coming back for more.
My favorite book of all time is The Experience Economy by Joe Pine and Jim Gilmore. This book defines what customer experience is. They were ahead of their time back in 1999 when they published the first edition. Who knew that concept would become so popular that the business world would create a CX department and even a leadership position in the C-Suite with the title CXO. While today's concept of customer experience has morphed into something even bigger than Pine and Gilmore could have imagined, the basics are always there.
It used to be that brands could think and operate on a transaction-by-transaction basis. People shopped for goods and services, they bought something, and then they and that brand parted company until the customer came back to buy something else. Businesses that want to thrive today need to create a brand experience that isn't just about what happens at point of sale or even during a protracted shopping experience.
Although open source code in Python and R is popular because of its low cost, flexibility, and power, the time required to properly create code and ensure that it is working correctly can be frustrating. Not everyone is a programmer or wants to program! That's why the announcement by IBM in June about IBM Data Science Experience is such a game-changer! IBM Data Science Experience is a way for data scientists to collaborate and work on data science programs in the most efficient way possible. What if the collaboration could be extended to the data scientist or analyst who wants to build predictive models without code?
Today we are excited to announce the General Availability of IBM Data Science Experience along with a new release of IBM Data Science Experience Enterprise that is available for purchase in the IBM Marketplace. IBM Data Science Experience Enterprise is an integrated development environment offering a suite of tools and capabilities that enable data scientists to accelerate their productivity. Interest in and adoption of data science in the market is booming with a profusion of new tools, new algorithms, new libraries, and new data sets, such as Twitter and more. Data-driven companies such as Uber and Airbnb have shown the rest of the world what impact world-class data science can have on business results. Despite the promise of data science, it is not currently easy to harness its power.