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      Global Artificial Intelligence Courses for C-suite Executives Market 2017-2021 - Key Vendors are American Institute of Artificial Intelligence, AI-Academy, Informed AI & Topbots

      Research and Markets Logo

      News provided by

      Research and Markets

      Nov 28, 2017, 13:30 ET

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      DUBLIN, November 28, 2017 /PRNewswire/ --

      The "Global Artificial Intelligence Courses for C-suite Executives Market 2017-2021" report has been added to Research and Markets' offering.

      The global artificial intelligence courses for C-suite executives market to grow at a CAGR of 35.96% during the period 2017-2021.

      Global Artificial Intelligence Courses For C-suite Executives 2017-2021, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.

      The latest trend gaining momentum in the market is Widespread adoption of artificial intelligence in businesses. Considering the dynamic growth and complexity of the artificial intelligence ecosystem, businesses are adopting or migrating to use the technology to make their business operations efficient. Integration of artificial intelligence with evolving technology platforms such as the IoT and others has become prevalent. Therefore, there is an increased need for C-suite executives and leaders in organizations to learn artificial intelligence. This will help then use new inventions to improve their business stance.

      According to the report, one of the major drivers for this market is Rising use of artificial intelligence for improved and less expensive industrial operations. There has been an increased prominence for leveraging on the operational data generated and using artificial intelligence to make industrial operations efficient. The technology can be used to conduct effective research at a minimal cost and increase an organization's productivity. Companies such as GE are now increasingly adopting to artificial intelligence's machine learning methodologies to develop predictive-maintenance tools to reduce operational and maintenance costs in certain mining activities. This is done with intent to increase their existing financial capital. Therefore, artificial intelligence is used for reducing operational costs, which encourage an increasing number of C-suite executives to avail artificial intelligence courses.

      Further, the report states that one of the major factors hindering the growth of this market is Increasing need for continuous education. The global artificial intelligence courses market for C-suite executives involves technical training, which translated to practical lessons. The theoretical teaching model is not effective in artificial intelligence courses. Owing to continuous changes and advances in technology, the current technology becomes obsolete. Each new development in artificial intelligence processes require different development models, and there is no one-size-fits-all approach applicable in this domain. The continuous innovations and updates, such as the emergence of new artificial intelligence hardware and designing procedures in automation software processes, is contributing to the need for updated training.

      Market trends

      • Widespread adoption of artificial intelligence in businesses
      • Emergence of self-paced and mobile learning
      • Rising use of Big Data

      Key vendors

      • American Institute of Artificial Intelligence
      • AI-Academy
      • Informed AI
      • Topbots

      Other prominent vendors

      • ASI Data Science
      • DDLS
      • EIT
      • Kellogg School of Management
      • MIT
      • Udacity

      Key Topics Covered:

      Part 01: Executive Summary

      Part 02: Scope Of The Report

      Part 03: Research Methodology

      Part 04: Introduction

      Part 05: Market Landscape

      Part 06: Market Segmentation By Course Type

      Part 07: Market Segmentation By Learning Model

      Part 08: Geographical Segmentation

      Part 09: Decision Framework

      Part 10: Drivers And Challenges

      Part 11: Market Trends

      Part 12: Vendor Landscape

      Part 13: Key Vendor Analysis

      Part 14: Other Prominent Vendors

      Part 15: Appendix

      For more information about this report visit https://www.researchandmarkets.com/research/9h23xf/global_artificial

      Media Contact:

      Research and Markets
      Laura Wood, Senior Manager
      [email protected]

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      SOURCE Research and Markets

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