Ericsson sets up AI Accelerator in Bengaluru

Ericsson has set up a Global Artificial Intelligence Accelerator (GAIA) in Bengaluru thereby creating 150 new jobs for data scientists, engineers, ML/AI architects and software developers in 2019.
 
Globally, Ericsson will employ over 300 data scientists, data engineers, ML/AI architects and software developers across its Global AI accelerators.
The innovation hub set up by Ericsson in India will focus on research and development in Artificial Intelligence (AI) and automation. This newly launched GAIA facility will be key in accelerating the execution of Ericsson’s focused strategy by leveraging cutting edge AI and automation technologies to create data driven, intelligent and robust systems for automation, evolution and growth.
In 2018, Ericsson has set up Global Artificial Intelligence Accelerators in US and Sweden.  
 
“The setting up of Global AI Accelerator in India is testament to Ericsson’s long-term commitment to India, to the rich talent pool as well as the vibrant ecosystem available in the country. GAIA has been set up as a central unit to be able to accelerate projects across Ericsson’s portfolio across the 4 business areas as well as customer projects across the 5 market areas,” said Sanjeev Tyagi, Head of Ericsson R&D Bengaluru.
“With the advent of 5G and IoT, we expect to see an explosion in the number of potential ways in which we will use the networks of the future. The traditional methods of managing and running networks will no longer scale. AI/ML driven automation will be a necessity to manage these networks. These data-centric technologies also open up the potential to tap new revenue generating opportunities and business models for telecom service providers,” added Sanjeev Tyagi.
The company intends to explore partnerships with telecom service providers, industry stakeholders, startups and academia to bolster innovation. With GAIA Bengaluru, the company’s endeavor is to spur innovations that are easy to use, adapt and scale, enabling its customers to capture the full value of connectivity.

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