By now most of us understand that, in our current era, artificial intelligence (AI) and its subset machine learning (ML) have little to do with human intelligence. AI/ML is all about recognizing patterns in data and automating discrete tasks, from algorithms that flag fraudulent financial transactions to chatbots that answer customer questions. And guess what? IT leaders appreciate the enormous potential.
According to a CIO Tech Poll of IT leaders published in February, AI/ML was considered the most disruptive technology by 62 percent of respondents and the technology with the greatest impact by 42 percent – in both cases double the percentage of AI/ML’s nearest rival, big data analytics. An impressive 18 percent already had an AI/ML solution in production.