The Artificial intelligence It is no longer a future promise, it is a transformative reality for companies. But its successful implementation requires much more than bright algorithms. A clear strategy is needed, a robust infrastructure and a detailed knowledge of its multiple applications. From all this it deals with the new report that we have prepared in collaboration with Hewlett Packard Enterprise: “Architectures and cases of use of AI in the company”.
How do you really unfold in an organization? What kind of AI should use in each case? What infrastructure is necessary to obtain tangible results? These are some of the questions addressed by this new report, an essential document for professionals who not only want to understand AI, but to successfully apply it in their corporate environments.
Classical and generative: beyond the theory
The report clearly distinguishes the two great approaches that currently coexist: the CLASSICfocused on data analysis and patterns -based automation, and AI Generativewhich is revolutionizing sectors by allowing the creation of completely new content (text, image, code, etc.).
Throughout the document it is explained how each approach responds to different needs, requires specific infrastructure and opens the door to innovations that until recently were unthinkable. All this with a clear language and backed by visual data flows that help understand how each type of AI unfolds in a real environment.
Sectors in transformation
One of the main values of the report is its sector approach. Instead of talking about the generic way, deepens how it is being used in key industries such as finance, health, retail, manufacturing, public sector and education. How does this translate? In examples such as:
– Models that detect real -time fraud in millions of bank transactions.
– The one who attends medical diagnoses by analyzing radiological images.
– Supermarkets that adjust inventories based on the weather and consumer behavior.
– Factories that reduce unforeseen stops thanks to predictive maintenance.
– Educational platforms that adapt content to the learning rate of each student.
Each case reflects how AI is improving processes, reducing costs and, above all, accelerating data -based smart decision making.
Technology at the service of the strategy
The report does not remain conceptual. One of its strengths is the analysis of the necessary architectures to withstand AI projects in the company. From data centers to computing environments on the edge (Edge AI), the solutions that HPE has developed to respond to the specific demands of each type of AI are presented.
Among them the servers stand out HPE ProLiant latest generation (DL384, DL380A, DL145 and DL320) and the solution HPE Private Cloud AIcreated together with Nvidia to facilitate the adoption of generative with total control over the data.
This section is especially relevant to IT equipment seeking to implement IA in a scalable, safe and aligned way with business needs.
Are you interested in knowing how to take AI to your company in a practical and safe way? Download the full report and discover the keys that are marking the future of business innovation.