AI & Data: Avoiding The Gotchas

When it comes to an AI (Artificial Intelligence) project, there is usually lots of excitement. The focus is often on using new-fangled algorithms – such as deep learning neural networks – to unlock insights that will transform the business. But in this process, something often gets lost: The importance of establishing the right plan for the data. Keep in mind that 80% of the time of an AI project can be spent on identifying, storing, processing and cleansing data. "The big gotcha is having bad data fed into your AI systems," said David Linthicum, who is the Chief Cloud Strategy Officer at Deloitte Consulting LLP.