APIs are a "key tool" to make ITV agile
ITV is using and API platform provided by Apigee to integrate legacy IT systems and allow the TV network to share data with developers and business partners.
Digital transformation describes how companies are using technology to add a digital dimension to customer or partner experiences, change the way employees do their jobs, or add new digital or data-based lines of business. These kinds of experiences are no longer just conveniences. They are becoming the de facto standard, and have created strong impetus for businesses who haven’t done so already to start on the path to digital transformation.
Apigee tasked with integrating ITV’s IT legacy systems to build one digital platform.
ITV has picked Apigee to open up its APIs to third-parties as it seeks to build one platform for its various channels.
The broadcaster has tasked Apigee to use APIs to integrate its many different IT legacy systems in order to build one platform that securely exposes data around its five digital channels to internal and external developers.
NICE, France -- TM Forum Live! -- Michel Burger left his role as chief architect at Vodafone last year because, while the operator had the right priorities -- APIs, analytics, and hybrid cloud -- it was much too slow moving to make real progress on them.
Last month, Andrew Bailey, chief executive of the Prudential Regulation Authority (PRA), claimed that Britain’s banks will have to spend billions overhauling their creaking IT systems over the next few years, as complex networks bolted together after mergers are under strain. While it’s clear that a number of banks are lumbered with outdated IT, there are technologies available to revitalise legacy systems.
Immediacy is becoming an expectation in the world of digital business, especially as user interaction data becomes just as important as transactional data. One customer even tells me that user data more than 15 minutes old borders on irrelevant.
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.
The Internet of Things is forecast to achieve a $20 billion total available market by 2018. But is that market size real? What are the tools that we can use to understand this and take effective action?
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.