The Importance of Geographical Location in Determining the Intelligence of Artificial Intelligence
Ivo Ivanov, the CEO of DE-CIX, is spearheading a significant shift in the world of AI technology. This transformation is aimed at enhancing the real-time performance of AI applications, making them more responsive and user-friendly.
The crux of the issue lies in the current network infrastructure, which was primarily designed for reach rather than responsiveness. This has led to delays in real-time AI-driven experiences. To address this, the answer is smarter placement and optimization of infrastructure, with smaller interconnection hubs closer to end users.
Data often travels through long-haul fiber connections, passing through towns and cities that offer no local breakout or interconnection points. These places have become digital 'flyover zones,' where the infrastructure exists but can't be accessed in a meaningful way. The solution proposed is to bring the intelligence closer, improving overall performance.
Amazon is at the forefront of this revolution, developing a distributed web infrastructure with smaller, slimmer interconnection points placed within 50 to 100 miles of users' homes and workplaces. This approach aims to reduce data travel time, making AI applications more responsive. Milliseconds matter in AI applications, and latency is the new currency.
The technology demonstrated at this year's Consumer Electronics Show (CES) includes vehicle-to-cloud driving assistance and real-time translations during conversations. For instance, BMW unveiled Panoramic iDrive, an in-vehicle AI-powered assistant projected onto the driver's windshield. Additionally, Aria, an LLM-powered humanoid robot, was showcased at CES 20XX.
For AI to feel truly real-time, three components need to work in perfect harmony: the AI model, the device, and the connection. The AI model, like Aria, needs to be stored in powerful data centers or edge servers closer to users to minimize latency. The device, such as your smartphone or car, needs to be equipped with the necessary hardware and software to communicate effectively with the AI model. The connection, whether via fiber-optic cables, mobile networks like 5G, or low Earth orbit satellites, needs to be robust and fast to facilitate seamless communication between the device and the AI model.
This transformation is not limited to the tech giants. Forbes Technology Council, an invitation-only community for world-class CTOs and technology executives, is also contributing to this revolution. The qualifications for the Forbes Technology Council are not disclosed, but it's clear that the members are at the forefront of technological advancements.
In conclusion, the future of AI technology is promising, with smarter infrastructure and optimized interconnection hubs promising to revolutionize our AI experiences. Whether it's AI assistants in cars, instant translations, or smart warehouses, the principle remains the same: bring the intelligence closer to improve performance.
