Understanding AI challenges for your Digital Transformation

There are several challenges that exist for AI systems. In this edition of the newsletter I discuss some of the key challenges including shortage of talent, high costs for the required talent, data and machine learning algorithms, compute infrastructure costs, AI bias, and the lack of transparent AI systems. AI doesn't come cheap, there is a huge cost associated with having the required personnel to build and maintain AI systems. A traditional AI team has one or multiple data scientists and DevOps or AI development engineers. Data scientists are well-versed and experts in the field of math and statistics and are required to work with the underlying machine learning and deep learning algorithms.