Artificial Intelligence and Machine Learning in Big Data and IoT: The Market for Data Capture, Analytics, and Decision Making 2016 – 2021

Artificial Intelligence and Machine Learning in Big Data and IoT: The Market for Data Capture, Analytics, and Decision Making 2016 – 2021

Your Price: $1,995.00
Report ID:MC130
  • Source:Mind Commerce
  • Publication Date:July 2016
  • Pages:190
  • Format:PDF Download

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 More than 50% of enterprise IT organizations are experimenting with Artificial Intelligence (AI) in various forms such as Machine Learning, Deep Learning, Computer Vision, Image Recognition, Voice Recognition, Artificial Neural Networks, and more. AI is not a single technology but a convergence of various technologies, statistical models, algorithms, and approaches. Machine Learning is a sub-field of computer science that evolved from the study of pattern recognition and computational learning theory in AI.

 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 and Machine Learning support for 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 2016 – 2021 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 2016 to 2021
  • 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

Key Findings:

  • North America will lead the AI in Big Data and IoT through 2021
  • Autonomous robots and intelligent agents will be the top application areas
  • The AI powered predictive analytics market will reach $18.5 billion by 2021
  • AI will find its way into edge data devices for security and real-time data analytics

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