Leading organisations are planning to double Artificial intelligence (AI) or Machine learning (ML) in the next 12 months according to recent survey by Gartner.
Organizations that are working with artificial intelligence (AI) or machine learning (ML) have, on average, four AI/ML projects in place today and this is bound to increase to six more projects in the next 12 months and another 15 within the next three years. This means that in 2022, those organizations expect to have an average of 35 AI or ML projects in place.
“We see a substantial acceleration in AI adoption this year,” said Jim Hare, research vice president, Gartner.
“The rising number of AI projects means that organizations may need to reorganize internally to make sure that AI projects are properly staffed and funded. It is a best practice to establish an AI Center of Excellence to distribute skills, obtain funding, set priorities and share best practices in the best possible way,” added Hare.
Forty percent of organizations named CX as their top motivator to use AI technology. While technologies such as chat bots or virtual personal assistants can be used to serve external clients, most organizations (56%) today use AI internally to support decision making and give recommendations to employees.
The top challenges to adopting AI for respondents were a lack of skills (56%), understanding AI use cases (42%) and concerns with data scope or quality (34%).
“Skill gaps can be addressed using service providers, partnering with universities, and establishing training programs for existing employees. However, establishing a solid data management foundation is not something that you can improvise. Reliable data quality is critical for delivering accurate insights, building trust and reducing bias. Data readiness must be a top concern for all AI projects,” said Hare.