AT&T has selected Indian IT company Tech Mahindra to build an open source artificial intelligence (AI) platform hosted by The Linux Foundation.
Acumos AI platform will assist users to build, share and deploy AI applications. The AI platform will provide a marketplace for accessing, using and enhancing those applications.
The Acumos platform is a framework for machine learning solutions providing the capability to edit, integrate, compose, package, train and deploy AI micro-services. Users can chain AI applications to create complex and sophisticated AI services.
For instance, the Acumos platform gives applications to choose from, like location tracking and facial recognition to create an AI application for video analytics.
The simple platform interface lets you choose AI capabilities and stitch them together automatically so they function as a single application. In this case, the new service could identify where the video was shot based on background landmarks, and identify the speakers in it – design and deploy in a single interface and with minimal additional code development.
Content curation, autonomous cars, drones, and augmented reality/virtual reality are other areas where AI models could be used with the Acumos platform.
“Our goal with open sourcing the Acumos platform is to make building and deploying AI applications as easy as creating a website,” said Mazin Gilbert, vice president of Advanced Technology at AT&T Labs.
“Our investment in AI solutions over the past few years is helping us find tremendous opportunity to make it simpler for higher adoption,” said Raman Abrol, SVP & Strategic Business Unit Head at Tech Mahindra.
AT&T previously used this model to launch ONAP, the operating system for virtualized networks.
Recently HPE India said that it aims to make AI real for its customers no matter where they are in their journeys with its infrastructure portfolio, AI expertise, research and ecosystem of technology partners.
HPE offers customers a flexible consumption services for HPE infrastructure, which avoids over-provisioning, increases cost savings and scales up and down as needed to accommodate the needs of deep learning deployments.
“HPE’s infrastructure and software solutions are designed for ease-of-use and promise to play an important role in driving AI adoption into enterprises and other organizations in the next few years,” said Steve Conway, senior vice president, Hyperion Research.
