While the technology industry talks about the superpowers of artificial intelligence (AI), incorporating it in business applications is not easy. Even for the most tech-savvy individual, AI is complex and intimidating technology.
There have been many efforts in making AI accessible to developers, but there is still a lot of plumbing that needs to be done. From acquiring the data to labeling it and training the model to optimizing it, deep learning and AI demand niche skills that combine mathematics with data science. After all the effort, utilizing a fully trained model with applications is another tricky task.
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Janakiram MSV is an analyst, advisor, and architect. Follow him on Twitter, Facebook and LinkedIn.
