Management of the private cloud, Artificial Intelligence and Analytics
In the growing market for Cloud services, their commercialization, provisioning and administration of these services, the management of the private cloud is relevant, that is why it must meet five essential capabilities which are, security, data protection and business continuity, data consolidation, automation, and cost control, so that it can be implemented in the clients’ own DCs.
The achievement of machine learning (ML) and deep learning (DL) predicting future results based on data from the past, data models, algorithms, use of new technology such as Python, applied knowledge in Artificial Intelligence and Expert Systems must be developed.
A Management Platform to Meet Any Cloud Requirement and Business Model
Demands for cloud services continue to grow. Service providers and enterprises today require a feature-rich platform that supports multi-cloud management for public, private and hybrid cloud environments. Service providers and white-label distributors want a platform that enables them to sell and deliver cloud services at scale. WCS partner HyAlto has a solution to all these needs.
Building ML and DL Algorithms for deploying AI
DeepLanding is a company that develop tech solutions for its clients based on the understanding of their operational data processes, strongly supported by Data Science, which allows to understand the data, its origin and what it could expect from it. DeepLanding prioritize objectives over critical business processes and based on the results obtained, it applies Machine Learning and Deep Learning algorithms where appropriate, which become the AI platform.
Our Trusted Cloud, AI/ML and Analytics Alliances
We work with specialized companies in Cloud, AI/ML and Analytics, with the use of state-of-the-art technologies solutions, designed for various industries, such as Mining, Telecommunications, Logistics, Banking, and many others.
