Since releasing ECOMP (Enhanced control orchestration and management platform), AT&T has been busy on a data sharing environment, which it announced at the AT&T Developer Summit and is called Indigo.
Like ECOMP, AT&T is looking to launch Indigo as an Open Source project through the Linux Foundation, hoping for community collaboration.
As you all know, machine learning and artificial intelligence (ML/AI) get better with more data. This project is intended to bring a community effort to the development of a data network that enhances accessibility to data and overcomes obstacles such as security, privacy, commercial sensitivities as well as other technical challenges.
AT&T announced that it will provide further details in coming weeks, which I’ll look to keep you abreast of. This is an important development for our industry for a range of reasons including the insights and efficiencies that ML/AI can deliver from the data it observes (as well as innovative revenue stream possibilities), but I’m most interested in the closed feedback loops that are needed in the OSS / ECOMP space.
For further information, check out this report on SDX Central.