You’ve heard it before: Artificial Intelligence is the future, although the future may be closer than we think. There are many new and emerging AI services that facilitate work responsibilities and allow IT departments to focus on higher value jobs. This includes technology that is integrated with existing solutions such as Microsoft Azure. Azure has acted as a birthplace for cutting-edge AI platforms, and today we will delve into how Azure is integrating AI and what it means for your business.

Artificial Intelligence in Microsoft

In recent years, Microsoft has made a large investment in AI technology and since then it has adopted an innovative vision in many aspects. This time, we will focus on Microsoft Azure. It has three main services: Cognitive Services, Bot Framework and Machine Learning. In recent times, Microsoft has added a series of new features to each of these services and the solutions they develop, offering a range of advantages including:

  1. Microsoft provides a wide range of products. From precompiled artificial intelligence and ready to use Cognitive Services, conversational intelligence tools such as Bots, to tools that allow the development of customized Deep Learning models.
  2. Microsoft provides both data and artificial intelligence that allows the development of a new generation of intelligent applications. It allows the implementation of container-based models so that artificial intelligence can be executed where a Docker container can run, whether in the cloud, on-premise or on devices.
  3. Its a flexible platform that allows you to choose the Deep Learning Framework that best suits your company. You can compile custom models in frameworks such as Tensoflow, Chainer, CNTK and others.
  4. Cognitive Services can be used from applications written in any programming language so that it adapts to any technology used in companies.
  5. The Azure platform has an enterprise-level artificial intelligence infrastructure. From the latest in GPU technology to models and services with FPGA acceleration. This provides the efficiency and flexibility needed to execute workloads to scale in 50 regions around the world.


Azure Bots services was one of the first options for developers to create bots in the cloud and, together with the understanding of the language, allows the possibility of creating conversational interfaces through numerous platforms and different scenarios, including travel and banking. Developers can create, connect and deploy smart robots to better manage customer requests and questions and offer users a naturally interactive service on company websites. Along with cognitive services, bots can listen, understand and speak like a real person.

Cognitive Services

Azures cognitive services provides a wide range of APIs and services that allow developers to integrate AI into their projects. In one of our blog posts we talked about Face API, one of Microsoft’s cognitive services that works with people’s faces in images and helps detect, verify and organize face tags. Microsoft’s APIs generally work with vision, language, speech and knowledge, and new solutions are continuously being developed.

These Artificial Intelligence tools can be integrated with applications with only a few lines of code or can be deeply integrated into the systems and projects of companies, completely adaptable to business demand.

Machine Learning Services

With machine learning tools, developers can create artificial intelligence projects or develop more existing ones. Workbench is a good example. This data science framework offers predictive analytics and intelligent applications services, fosters teamwork and facilitates learning and understanding.

Artificial intelligence is becoming an integral part of Windows Azure services. The Azure AI toolbox offers a series of customizable tools that cover a range of different business needs. It’s not too late to get started!