The expansion of artificial intelligence is increasing the demand for computing power, storage, and digital cloud services. Amazon, Microsoft and Google are in a privileged position because they concentrate a large share of the infrastructure used to train and run advanced AI models.
This shift matters for any company seeking to incorporate artificial intelligence into its operations. Infrastructure availability is necessary, but not sufficient: value arises when the cloud, software, and data are connected to concrete processes of sales, customer service, e-commerce, and internal management.
The infrastructure concentrates the power of AI
Training and execution of AI models require large volumes of processing. Therefore, companies and laboratories increasingly rely on providers capable of offering scalable on-demand infrastructure. Amazon Web Services posted a 37% year-over-year growth in net sales, while Microsoft’s cloud maintains a central role in the expansion of its technology businesses.
Dependency also extends to databases, development tools, cybersecurity, analytics, and AI services. This can simplify operations, though it also increases costs and the complexity of switching providers when an organization builds too many processes around a single platform.
From cloud consumption to business results
For companies, the priority should not be to hire more technology without a roadmap for implementation. An AI project needs defined use cases, performance indicators, and a way to observe whether the investment improves response times, reduces errors, or increases commercial capacity.
At Onix Board we help turn that infrastructure into operational flows through a SaaS platform that integrates CMS, CRM, multi-channel conversational automation, e-commerce management, AI-assisted content generation, and flow- and channel-based analytics. This integration enables centralizing conversations, campaigns, inventories, and customer data from a single environment.
- Automatización conversacional para WhatsApp, Messenger e Instagram.
- Bandeja de entrada unificada para gestionar interacciones desde una sola plataforma.
- Herramientas de IA para generar contenidos, traducir publicaciones y apoyar la operación.
- Paneles analíticos para evaluar el desempeño de flujos y canales.
The advantage of this approach is to start with specific processes, set a baseline, and evaluate results before expanding the implementation. Thus, AI ceases to be an isolated initiative and becomes an operational capability that can be monitored and scaled.
A cost-effective adoption requires integration
The cloud will continue to be an essential component of the AI economy, even if financial expectations around this technology change. For organizations, the challenge will be to avoid fragmentation between infrastructure, applications, and teams, while maintaining control over their data and costs.
If your company is seeking to integrate AI into its processes, Onix Board can help you identify priority workflows, connect channels, and measure operational impact from a unified platform. To evaluate an implementation, request a personalized quote at contact@onixboard.com or +52 443 734 6167.