With artificial intelligence all the rage these days, market trackers are attempting to gauge just where the technology is headed and which industry sectors will lead development for specific big data and other enterprise use cases. The latest attempt comes from Evans Data Corp. in the form of an AI and big data survey released on Wednesday (Jan. The survey of 440 AI developers found that more than one-third of respondents are focusing on deep learning techniques, with most targeting the financial and insurance sectors. Other sectors where deep learning implementations are expected to have an impact include the Internet of Things (14.9 percent) and "non-computer" manufacturing (12.5 percent), reported the market researcher based in Santa Cruz, Calif. Nearly one-third of AI developers focused on deep learning implementations are relying on numerical inputs as the most common data type, Evans Data added.

With artificial intelligence all the rage these days, market trackers are attempting to gauge just where the technology is headed and which industry sectors will lead development for specific big data and other enterprise use cases. The latest attempt comes from Evans Data Corp. in the form of an AI and big data survey released on Wednesday (Jan. The survey of 440 AI developers found that more than one-third of respondents are focusing on deep learning techniques, with most targeting the financial and insurance sectors. Other sectors where deep learning implementations are expected to have an impact include the Internet of Things (14.9 percent) and "non-computer" manufacturing (12.5 percent), reported the market researcher based in Santa Cruz, Calif. Nearly one-third of AI developers focused on deep learning implementations are relying on numerical inputs as the most common data type, Evans Data added.