Every large corporation collects and maintains a huge amount of human-oriented data associated with its customers including their preferences, purchases, habits, and other personal information.  As the Internet of Things (IoT) progresses, there will an increasingly large amount of unstructured machine data. The growing amount of human-oriented and machine generated data will drive substantial opportunities for AI support of unstructured data analytics solutions.
 
This research evaluates various AI technologies and their use relative to analytics solutions within the rapidly growing enterprise data arena. The report assesses emerging business models, leading companies, and solutions. The report also provides forecasting for unit growth and revenue from 2017 – 2022 associated with AI supported predictive analytics solutions. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.
 
Report Benefits:
  • Forecasts for AI in predictive analytics 2017 to 2022
  • Identify highest potential AI technology area opportunities
  • Understand AI strategies and initiatives of leading companies
  • Learn the optimal use of AI for smart predictive analytics in IoT data
  • Understand the AI in Big Data, Analytics, and IoT ecosystem and value chain
  • Identify opportunities for AI in Analytics for IoT and other unstructured data
Target Audience:
  • Internet of Things companies
  • Artificial Intelligence companies
  • Big Data and analytics companies
  • Robotics and automation companies
  • Cloud and Internet of Things companies
  • Investment firms focused on automation
  • Product and service providers of all types
  • Governments and NGO R&D organizations