Artificial Intelligence (AI) can unlock huge opportunities for both enterprises and governments, but AI needs to be deployed at large scale for the same. According to Rama Devi Lanka, director, Emerging Technologies and officer on special duty at ITE&C, Government of Telangana, the government is looking to deploy AI at the same scale as India's Unified Payments Interface (UPI). "If you look at the unified payments interface (UPI), that is the scale at which we are looking to deploy AI," she added. Speaking at the Mint AI Summit on April 29, Lanka said that Telangana has identified agriculture, healthcare, education, transportation, smart cities, and climate change as some of the focus areas for AI implementation. However, she noted that the lack of availability of data can be a problem.

When we type in a search query, access our email via the cloud or stream a viral video, chances are we don't spend any time thinking about the technological plumbing that is behind that instant gratification. They are engineers who spend their days thinking about ever-better and faster ways to get you all that information with the tap of a finger, as you've come to expect. A team of Microsoft engineers and researchers, working together, has created a system that uses a reprogrammable computer chip called a field programmable gate array, or FPGA, to accelerate Bing and Azure. Utilizing the FPGA chips, Lanka and Chiou's teams can write their algorithms directly onto the hardware they are using, instead of using potentially less efficient software as the middle man. What's more, an FPGA can be reprogrammed at a moment's notice to respond to new advances in artificial intelligence or meet another type of unexpected need in a datacenter.