As in a classic On-premise environment, correctly managing, governing, operating and administering the technological resources of the Azure Data bc data singapore Center is essential for its deployment to be a success, for your company to be able to take advantage of all the capabilities of the Microsoft cloud and to be able to provide the best service to your customers.
Until now, no one thought about adopting Artificial Intelligence because it required extensive knowledge in training models, adopting the technology, necessary architectures, etc. OpenAI , together with Microsoft, has broken down all these barriers to its adoption due to the new Multimodal LLM paradigm and, mainly, thanks to the use of natural language it offers.
This means that any software from any manufacturer will be able to include some type of AI and, consequently, the great challenge will be how to govern and secure my information and how to maintain my internal compliance policies and those of the industry to which I belong. This leads us to think that, if we want to exploit the data , the integrations will be much more secure and agile if that data is in the cloud, that is, in a Cloud environment. For this reason, it is so necessary and important to talk about Azure governance since we cover all areas, such as infrastructure, application modernization, code, data analytics, Artificial Intelligence, etc., all operated with total security and compliance.
According to Gartner, 85% of companies will adopt their first public cloud by 2025. Now, with Generative AI, cloud projects are expected to multiply as a result of the enabling power provided by the Azure cloud as opposed to a 100% On-premise world.
Types of clients
We describe three types of customers who can benefit from Azure Cloud:
Unfamiliar : Companies new to Azure that have not yet integrated this technology into their IT teams and whose business strategy has included SaaS solutions such as M365, Dynamics, Salesforce integrated with on-premise infrastructure and applications. These companies may need guidance on where to start and how to begin their exploration of Azure.
Explorer : Companies that have started to deploy some services and applications in Azure in a very residual way, but that do not follow best practices or use a specific methodology or monitoring. These companies may not be exploiting their data 100% and will not have a defined strategy to use Azure as their main data center.
Mature : Organizations that have already established a mature Azure environment and use it as their primary or hybrid data center. These companies deploy Business Intelligence projects, ERP integrations, CRM, low-code applications, etc. and have a clear strategy for using Azure.
Governance in Azure
Strategy : the company's strategy must be analyzed at the business and composition level, as an example, understanding the strategy we will define a subscription plan and policies that will allow in the future:
Integrating new companies into our Azure strategy.
Assign costs by companies, departments, projects
Identity : Identity has become the first line of security and business expansion. On the one hand, identity is a very important vector of cyberattacks such as cryptomining and ransomware, and on the other, identity allows us to guarantee service to customers and increase the productivity of our companies' workers.
Resource organization: Like any data center, good resource organization allows you to optimize Azure operations and consumption, which means reducing costs and improving ROI.
