Jorge F. Naegretto P.
Understanding syllogism is essential to understand artificial intelligence (AI). Without infrastructure, there is no artificial intelligence, and infrastructure is digital infrastructure. period.
AI is not a technology isolated from the digital world. This is possible through the evolution of digital infrastructure and the viable and essential connectivity networks at this historic moment in global society. “The Coming Wave” (Mustafa Suleyman) is a child of the connectivity of old telecommunications networks that have evolved into complex and robust concepts. It's a digital infrastructure. The stronger and wider the infrastructure, the greater the release of AI. Conversely, mediocre digital infrastructure with limited connectivity for citizens ensures little or no access to AI.
Governments that are not competitive in AI adoption are left behind by the digital economy, competitiveness, innovation, and opportunities to provide economic and social development to their citizens. With 20 Mbps bandwidth and over 50% internet coverage, Chiapas and Oaxaca contrast with Chile's 400 Mbps and 97% coverage. Some remain trapped in digital marginalization, while others ride on the global competitive super highway.
The relationship between digital infrastructure and AI. There is no economic and investment policy in a digital ecosystem that does not begin with the promotion and deployment of public policy, digital policy, science and technology strategies, or digital infrastructure. Talking about AI in healthcare, education, finance, public safety or computing without digital infrastructure is a mistake if it's not just propaganda.
AI relies on solid, high-performance digital infrastructures to function efficiently. The relationship between AI and 5G networks, data centers, and processors is symbiotic. AI needs this infrastructure and, in turn, helps in management and optimization.
AI models, especially deep learning, require astronomical processing power. Traditional processors are not efficient for AI. This is why tensor processing units (TPUs) are used because they are designed to accelerate training of graphics processing units (GPUs) and, more recently, large-scale AI models.
Data Center is an AI factory and training ground. They are the brains of that infrastructure. Data centers host thousands of processors and high-performance storage systems. These are essential for training AI models on large data volumes. Provides computing power, storage and real-time predictions.
5G network. Connectivity is the “neurological system” (Carlos Slim) that brings together all the components of AI. A 5G network with high speed, bandwidth and low latency is essential for AI. AI is stable, efficient and integrated into the digital ecosystem. This allows factory, smart cities, ports, or autonomous devices and sensors to transmit and receive huge amounts of data. 5G ensures that AI makes decisions in real time.
Digital infrastructure goes beyond data centers. It spreads across all communications networks, energy grids and supply chains.
As AI models grow larger and more complex, AI efficiency depends on the length and capabilities of digital infrastructure, including more fiber optics, radio base stations, more spectra, more powerful processors, larger data centers, and faster 5G networks.
The challenge is huge. Where will it leave Chaepass, Oaxaca, Guerrero and Michoacan? Is there the worst connectivity in Mexico? And what about Nuevo Leon or Basio, where bandwidth like Chile and Brazil, needs to stay competitive for foreign investment?
An AI society needs the best digital infrastructure.
Digital Policy and Law President
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