While there’s a lot of talk about Artificial Intelligence (AI) in the public sector, some agencies have yet to take a deep dive into exactly what this technology can bring to their workforces. As AI has gone through a tremendous evolution over the past several years, there are significant opportunities for agencies, but there are also still some implementation challenges.
From automation to solving key big data challenges, AI provides the opportunity to optimize data for enhancing decision-making and program outcomes. Public sector agencies are also seeing the need to build the quality of AI to meet the growing need for edge computing solutions to meet today’s mission.
These were the key themes of our latest Government Technology Insider podcast about how public sector agencies can further embrace AI. In this episode, Kal Voruganti, Senior Fellow and Vice President at Equinix; and Scott Andersen, Distinguished Solution Architect at Verizon, discussed the evolution of artificial intelligence and the challenges that come with growing arena.
“As the amount of data increases, it’s hard to move all of this data to a central location and it can be expensive,” said Voruganti. “Instead of moving data to compute, which is the historical paradigm, we want to move compute to where the data exists. The key point to note is that organizations are looking for new architects to cut down on data transfer costs for real-time analysis where the data is generated.”
Listen to the full podcast below:
Want to listen to part 2 in this series? You can do that here.
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