Generative AI is a rapidly evolving technology with the potential to revolutionize many industries. But like other newer technologies, it has highly data-sensitive capabilities requiring more bandwidth and greater connectivity.
As next-generation technologies evolve and emerge, businesses need a network infrastructure to support those increased needs. While network demand for artificial intelligence (AI) varies based on specific use cases, scale of deployment, and type of AI being used, these tools generally require massive amounts of network bandwidth.
Determining the specific network demand for GenAI applications requires network engineers to perform detailed analyses, as companies may need to scale their network resources to eliminate potential bottlenecks in other areas of the network.
As the demand for GenAI applications places a spotlight on network infrastructure, network engineers and AI practitioners must collaborate in optimizing resources. Thus, network engineers and AI practitioners should collaborate to optimize network resources to meet AI system demands effectively.
Execute robust security measures — authentication, encryption, intrusion detection systems, and regular security audits, to protect AI models, data, and customer information. Businesses must plan now to ensure their network infrastructure can support GenAI and other next-generation technologies.
By investing in high-bandwidth, low-latency networks, businesses equip themselves to effectively accommodate AI technology, improve customer interactions, surpass the competition, and position themselves for success in the digital age.
