How do new predictive analytics tools help businesses?
Traditional predictive analytics, represented by statistical tools and rules-based systems -- previously known as expert systems -- is stuck in the 1990s. Standard predictive analytics tools, such as SAS (analytics software) and the R programming language, are decades old. The new way is machine learning on "big data," and it is a disruptive change.
New predictive analytics (PA) tools, like Apigee Insights, are adding application program interface (API) and artificial intelligence(AI) to business intelligence (BI) technologies to enable proactive customer support and in-house development of analytics apps.
Now that most airlines allow you to use your mobile devices during flights and many offer Wi-Fi on their planes, it’s no surprise that we are also seeing more applications that enable that in-flight use. Most major U.S. airlines use Gogo to power their on-board connectivity, and the company obviously wants to encourage people to sign up for its service.
Digital technology firm Apigee has partnered with Gogo, which provides on-plane wi-fi, to create a platform for developing new apps and in-flight experiences for passengers and crew.
Gogo (NASDAQ: GOGO) shares traded more than one percent higher after the company announced a partnership with Apigee.
As the API economy continues to evolve, one of the foundations is that there is enough network bandwidth between two different applications such that latency and state are never in issue. In practice, given the state of most wide area networks, there is not always as robust a connection in place as most developers would prefer. Looking to solve that issue, Equinix, a provider of data center hosting and interconnection services, has partnered with Apigee to make sure there is always a robust stateful API service available with the new Equinix Cloud Exchange.
This year, the companies on the fifth annual AlwaysOn OnDemand 100 list are looking at a future bright with promise. Softeware-as-a-service is the new norm, and cloud infrastructure is stepping up to ensure applications are being delivered, used, and serviced securely and without interruption.
Industry leaders, experts and visionaries often say that our world will be faster, more connected, with billions of users, even in the most rural geographical areas, and that the economy today is global. Further, the digital divide won’t be apart as it used to be where most people around the world couldn’t afford computers. Today, with mobile devices that can provide many personal computing functions, the lower socio-economic communities can afford such devices, giving them access to information, services and products that they have never had before. But what does this mean for companies, for enterprises? How can businesses be successful in the digital era?
We are now in the era of big data 2.0, as defined by Foster Provost and Tom Fawcett in Data Science for Business. There's growing interest in predictive analytics solutions powered by machine learning. As InsightsOne CEO Waqar Hasan puts it: "Predictive is the 'killer app' for big data."
When AT&T executives talk about their network, they are more likely to discuss platforms and APIs than they are to mention servers and routers. Like other Tier I operators, AT&T is learning that the way it manages its intellectual property will impact its future at least as much as the way it manages hard assets.