Advertisment

Mindtree has earned Microsoft Azure specialization

Partners with the Microsoft Azure advanced specialization can provide the tools and knowledge to develop AI solutions on their terms

author-image
CIOL Bureau
New Update
Mindtree has earned Microsoft Azure specialization

Mindtree has earned the AI and Machine Learning on Microsoft Azure advanced specialization, a validation of a services partner’s deep knowledge, extensive experience and proven success in enabling customer adoption of AI and implementing Azure solutions for machine learning life cycle and AI-powered apps.

Advertisment

Only partners that meet stringent criteria around customer success and staff skilling, as well as pass a third-party audit of their AI and machine learning technical practices, are able to earn the AI and Machine Learning on Microsoft Azure advanced specialization.

“We are excited to be among Microsoft’s first service partners to have earned the AI and Machine Learning on Microsoft Azure advanced specialization,” Radhakrishnan Rajagopalan, global head, Mindtree said.

Organizations are looking for ways to maximize business impact and revenue through augmentation and automation. As a result, AI and Machine Learning are playing an increasingly vital role in helping them unlock the full power of data for improved agility, richer experiences, smarter decision-making and reduced time-to-market, he added.

Advertisment

As the speed of business accelerates, organizations of every type and size are looking for ways to streamline processes and deliver simpler, faster, and smarter resources to help them keep up.

“AI and Machine Learning on Microsoft Azure advanced specialization highlights the partners who can be viewed as most capable when it comes to implementing Azure solutions for machine learning lifecycle and AI-powered apps,” Rodney Clark, corporate vice president, Microsoft said.

Partners with the AI and Machine Learning on Microsoft Azure advanced specialization can give organizations the tools and knowledge to develop AI solutions on their terms, build AI into their mission-critical applications, and put responsible AI into action.