What triggers buyer’s remorse? They say some people feel it within seconds of driving their brand new car off a lot. For me, it sets in as soon as the honeymoon period with my new flat-screen TV is over, and I realize I shouldn’t have fallen in love with the first one I laid eyes on. We’ve all felt it, but that doesn’t make it less painful.

AI has a problem. This problem lies not within the algorithms themselves, but in how they are fed. In order for real value to be generated and extracted from AI projects, the data fed to it from the IoT needs to be dependable, flexible, and scalable. As long as the IoT is powered by wires and batteries, the majority of these deployments will not be fully delivered. While our AI systems are quickly evolving in the sophistication and complexity needed to transform the buildings, vehicles, and cities of tomorrow, one question remains; how will power infrastructure support the promise?

Artificial intelligence has been on a sharp rise in the past few years. Despite the advantages that this technology promises to offer, it has been subject to many concerns. Some people are worried about the implications of AI on privacy and humans in general. There are calls from human rights crusaders, politicians, and privacy activists to introduce strict regulations to govern this technology. In 2021, we expect government agencies and other players to increase their efforts to deal with AI's perceived and actual adverse effects.

As we head into 2021, artificial intelligence will increasingly touch every aspect of businesses from the recruitment process to supply chain to enterprise resource planning (ERP). Rick Rider, Vice President of Product Management at global ERP software company Infor, believes we’ll see three major trends in enterprise AI in 2021.