Survey Results: AI Engineering
Solving key business challenges with the help of automation or AI is a growing trend. We recently conducted a survey with over 600 respondents from the US and found that data, analytics, data science and AI leaders in the industries of Finance, Insurance and IT are actively seeking to drive digital transformation initiatives within their organization.
88% of respondents said they were planning to solve business challenges with the help of automation or AI in the near future, and the remaining 12% said they were strongly considering it.
There is a lot of opportunity for AI in these industries, and the playing field is wide open in terms of finding the right tools and technology to solve their business challenges. Some of the challenges these executive leaders are facing include:
- Scaling the implementation of AI applications across multiple use cases, or lines of business
- Productionalizing AI systems of engagement, which is taking longer than anticipated
- Aligning AI initiatives to business outcomes, risk and governance, and deployment of AI applications
Nearly 75% respondents said trust and transparency is extremely important in their overall AI application development, as well as re-use and repeatability in the AI development process.
These organizations are familiar with AI Engineering principles and are looking for the right set of tools and technology to address their business challenges. They estimate to spend between $1M-$10M on implementing AI technology in a responsible and scalable way.
The award-winning Cortex AI Platform from CognitiveScale can address these key business challenges for organizations by allowing them to build, manage, and govern AI applications in a repeatable, scalable way. Drive AI-powered personalized insights at scale and measure business outcomes today!