November 1, 2017
AT&T has announced it has signed a deal with Indian IT firm Tech Mahindra to build an open source artificial intelligence (AI) platform, Acumos, hosted by The Linux Foundation, which it said will make it easy to build, share and deploy AI applications. The platform, the company said in a release, will provide a marketplace for accessing, using and enhancing those applications.
“Over the past several decades, AI has evolved from a sci-fi concept,” it added. “It’s now integrated into our data-driven world. But creating new AI apps is a complex and expensive undertaking. The industry needs a way to make those apps reusable and accessible to those beyond the company that created them, and simplify deployments to lower the barrier to entry. That’s the only way to keep up with customer demand.
“Enter the Acumos platform. It’s an extensible framework for machine learning solutions. It provides the capability to edit, integrate, compose, package, train and deploy AI microservices. Simply put, it’s an AI marketplace where applications can be chained to create complex and sophisticated AI services.”
Areas where AI models could be used with the Acumos platform include content curation, autonomous cars, drones, and augmented reality/virtual reality.
“Our goal with open sourcing the Acumos platform is to make building and deploying AI applications as easy as creating a Web site,” said Mazin Gilbert, vice president of Advanced Technology at AT&T Labs. “We’re collaborating with Tech Mahindra to establish an industry standard for AI in the networking space. We invite others to join us to create a global harmonization in AI and set the stage for all future AI network applications and services.”
Raman Abrol, senior vice president and strategic business unit head at & Strategic Business Unit Head at Tech Mahindra. “In collaboration with AT&T, we will help enable enterprises to apply AI to reimagine business models, unlock the potential of data and drive business outcomes. Our ultimate goal with the Acumos Project is to accelerate and industrialize the deployment of AI at enterprises and get developers and businesses to collaborate effectively in order to improve how we all live, work and play.”