Global Artificial Intelligence Courses for C-suite Executives Market 2017-2021
About Artificial Intelligence Courses for C-suite Executives
Corporate training is provided to employees of an organization to bridge the learning gap. The learning gap emerges when the knowledge gained in universities and colleges is not enough to help an individual perform at workplaces. The foremost benefit of providing this training is that employees become well-aware of their roles and responsibilities related to the job. Globalization has intensified competition within and outside organizations. Corporations not just find it challenging to maintain market leadership and customer base but they also find it equally taxing to recruit and retain talent. Changing and increasing number of job roles are demanding new skills from job-ready individuals. This is increasing the need for external corporate training providers. Consequently, companies are blending in-house talent and technology resources with services offered by corporate training providers and placing a high emphasis on knowledge sharing initiatives.
Technavio’s analysts forecast the global artificial intelligence courses for C-suite executives market to grow at a CAGR of 35.96% during the period 2017-2021.
Covered in this report
The report covers the present scenario and the growth prospects of the global artificial intelligence courses for C-suite executives market for 2017-2021. To calculate the market size, the report considers the revenue generated from vendors operating in the market.
The market is divided into the following segments based on geography:
Technavio Announces the Publication of its Research Report – Global Artificial Intelligence Courses For C-suite Executives 2017-2021
Technavio recognizes the following companies as the key players in the global artificial intelligence courses for C-suite executives market: American Institute of Artificial Intelligence, AI-Academy, Informed AI, and Topbots
Other Prominent Vendors in the market are: ASI Data Science, DDLS, EIT, Kellogg School of Management, MIT, and Udacity.
Commenting on the report, an analyst from Technavio’s team said: “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.
American Institute of Artificial Intelligence, AI-Academy, Informed AI, Topbots, ASI Data Science, DDLS, EIT, Kellogg School of Management, MIT, and Udacity.
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