The Canadian company solving AI’s latency problem | BetaKit
The race to make AI more accessible and user-friendly is on, and PolarGrid, a Canadian company, is leading the charge in addressing AI's latency issue. PolarGrid CEO Rade Kovacevic believes that GenAI video and voice applications will become game-changers once they can operate in real-time.
In today's fast-paced world of AI, it's easy to overlook the fact that many AI features are still sluggish. While you might not have noticed this slowness, it's worth experimenting with voice interactions with virtual assistants like Alexa, Siri, or even ChatGPT to understand the issue. These technologies, despite their impressive capabilities, are not yet real-time replacements for human conversations.
Kovacevic emphasizes the importance of creating a 'wow' moment for end users, and slowness is the opposite of that. He highlights that the current infrastructure powering AI tech is constrained, leading to latency problems.
However, this challenge is not insurmountable. Thirty years ago, we eagerly awaited the loading of photos on websites or downloading MP3s, and technology evolved to support near real-time experiences. This week, The BetaKit Podcast welcomes Rade Kovacevic, the founder and CEO of PolarGrid, an Ottawa-based company specializing in edge computing solutions for real-time AI applications.
Kovacevic discusses AI's latency problem, its causes, and the tools required to overcome it. He also envisions the future where AI can process data in milliseconds worldwide, opening up new possibilities for user experiences.
The podcast also explores how PolarGrid's solutions will complement advancements in local computing and hyperscalers like AWS, which are focused on hyperscaling rather than building the necessary infrastructure for the internet's future.
According to Kovacevic, GenAI is currently in its GeoCities phase, a brief period of novelty that will soon be surpassed by the next big thing. The question remains: what will come after?
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