Artificial Intelligence & Machine Learning in Big Data & IoT to Enjoy Higher Demand, Predicts Mind Commerce in Its Report Available at MarketPublisher

02 Aug 2016 • by Natalie Aster

LONDON – At present, artificial intelligence (AI) enjoys relatively high popularity amongst enterprise IT organizations. Over 50 percent of such organizations currently experimenting with AI in different forms:  voice and image recognition, deep learning, computer vision, and more.

All large corporations have to collect and maintain large volumes of human-oriented data that are associated with their customers and cover habits, preferences, purchases, and other information. The IoT is continuing to develop, and an amount of unstructured machine data is also on the rise. This growth as well as growth in the amount of data generated by machines offer significant opps for AI as well as machine learning support for solutions in the field of unstructured data analytics.

AI in IoT and Big Data is expected to be dominated by North America in the upcoming years. Meanwhile, the market for AI-powered predictive analytics is expected to hit the USD 18.5 billion mark by 2021. Intelligent agents and autonomous robots are set to be major application areas in the offing.

The research report “Artificial Intelligence and Machine Learning in Big Data and IoT” elaborated by Mind Commerce Publishing LLC offers in-depth evaluation of AI technologies and coverage of their use related to analytics solutions within swiftly growing enterprise data domain.

The study casts light n emerging business models, focuses on market leaders in the space and looks at top solutions. It contains forecasts for revenue and unit growth over the period 2016-2021.

Companies mentioned in the report comprise: Tachyus, Baidu, IBM, Google, Sentenai, OpenAI, Skype, Neura, FocusMotion, MoBagel, Veros Systems, Sentrian, to name a few.

Report Highlights:

  • Coverage of AI in the predictive analytics over the period 2016-2021;
  • Identification of opps AI technology has;
  • Insights into AI strategies as well as initiatives of market leaders;
  • And more.

More in-demand research studies by the publisher can be found at Mind Commerce page

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Natalie Aster
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