What does an infrastructure strategy need to address?

An infrastructure strategy is fundamentally concerned with ensuring that the underlying systems and resources are in place to effectively support the operations of technology solutions. Since artificial intelligence relies heavily on processing vast amounts of data, it is crucial that the infrastructure strategy addresses the computational power required for data processing. This involves determining the necessary hardware, software, and network capabilities to handle machine learning algorithms, data storage, and real-time processing tasks.

By focusing on computational power, businesses can ensure their AI systems perform efficiently and scale according to demand, leading to more effective data analysis and decision-making processes. This aspect of the infrastructure strategy is foundational, as inadequate computational resources could hinder the performance of AI applications, leading to slower insights and reduced capability to leverage data effectively.

Other considerations such as the aesthetic design of the user interface, branding of AI solutions, and promotional strategies are important but do not directly relate to the operational backbone that an infrastructure strategy must provide. Therefore, addressing computational power is essential for any robust infrastructure strategy aimed at supporting AI initiatives.