AI adoption is on the rise. According to a recent McKinsey survey, 55% of companies use artificial intelligence in at least one function, and 27% attribute at least 5% of earnings before interest and taxes to AI, much of that in the form of cost savings.
As AI will dramatically transform nearly every industry it touches, it’s no surprise that vendors and enterprises are looking for opportunities to deploy AI everywhere they can. But not every project can benefit from AI and attempting to apply AI inappropriately can not only cost time and money but also sour employees, customers, and corporate leaders on future AI projects.
The key factors for determining whether a project is suitable for AI are business value, availability of training data, and cultural readiness for change. Here’s a look at how to ensure those criteria are in line for your proposed AI project before your foray into artificial intelligence becomes a sunk cost.
Start with the simplest solution possible
Data scientists in particular gravitate toward an AI-first approach, says Zack Fragoso, data science and AI manager at pizza chain Domino’s, which has more than 18,000 locations in over 90 countries around the world. But you can’t apply AI everywhere.
Continue reading: https://www.cio.com/article/303218/how-to-know-when-ai-is-the-right-solution.html
As AI will dramatically transform nearly every industry it touches, it’s no surprise that vendors and enterprises are looking for opportunities to deploy AI everywhere they can. But not every project can benefit from AI and attempting to apply AI inappropriately can not only cost time and money but also sour employees, customers, and corporate leaders on future AI projects.
The key factors for determining whether a project is suitable for AI are business value, availability of training data, and cultural readiness for change. Here’s a look at how to ensure those criteria are in line for your proposed AI project before your foray into artificial intelligence becomes a sunk cost.
Start with the simplest solution possible
Data scientists in particular gravitate toward an AI-first approach, says Zack Fragoso, data science and AI manager at pizza chain Domino’s, which has more than 18,000 locations in over 90 countries around the world. But you can’t apply AI everywhere.
Continue reading: https://www.cio.com/article/303218/how-to-know-when-ai-is-the-right-solution.html
