Artificial intelligence may be on the rise, but not everyone has a grip on it. In fact, it has become increasingly difficult for employers to find experts in the said field. Artificial intelligence is of two types: soft and hard. And while the soft one is dominating more in the AI industry, hard AI has its presence as well and it is even tougher since it is AI technology to the core and basically, high-level artificial intelligence.
Whether its soft AI or hard AI, developing use cases for AI projects can be a tricky business. An AI project goes through a lot of steps to achieve the perfect end result. Accuracy is key since it is completely driven by data, statistics and probability. If even a little bit of data gets out of hand or is not cleaned properly, the results can be a mess.
And just with like any other project at all, the purpose needs to be clear. Keeping that in mind, below are five basic steps via which an artificial intelligence project can be successful.
Infographic by: DellTechnologies
