The Rise of AI Engineering

Thursday, March 10, 2022

The Rise of AI Engineering

AI Engineering is on the rise. According to recent research performed by Gartner “By 2025, the 10% of enterprises who establish AI engineering best practices will generate at least three times more value with their AI efforts than the 90% of enterprises who do not.” Time is of the essence and now is the time to get started.

What is AI Engineering?

AI Engineering enables organizations to industrialize Artificial Intelligence (AI) to rapidly deliver business value. It is a discipline that encompasses a streamlined AI development lifecycle, including_ DataOps, ModelOps, and DevOps, allowing for uninterrupted transitions for AI models across operational and maintenance environments.

Why is AI Engineering so important?

The idea behind AI Engineering is to bring together the many different roles from Data Engineers, Data Scientists, Software Engineers, System Administrators, DevOps Engineers, Domain SME, Business Owners, Auditors to Customers involved when building AI. Many different roles or personas equates to many different technologies being used across the enterprise, each having their own criteria for success. This leads to fragmented, non-repeatable processes and manual steps to deliver a pointed solution.

Many limitations exist within the products these various personas use today. An AI platform is needed to enable collaboration across teams and to build AI in a repeatable and scalable way. CognitiveScale’s Cortex is an AI Engineering platform that streamlines this process.

How to get started?

The Cortex AI platform enables enterprises to rapidly build, deploy and manage AI applications and dramatically cut costs during the process. AI applications developed using our low-code platform, Cortex, accelerate time to value to achieve your enterprise's AI roadmap. Our elegant and Award Winning interface makes it easy to bring all the different roles together into one seamless integration.

Cortex AI Platform Benefits

  • $35.5M in cost savings due to increased productivity of a large development team
  • 3X Faster Time to Value to deliver AI infused business solutions
  • $9.6M Cost Reduction in Cloud Infrastructure

Watch our webinar to learn more.

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