Artificial Intelligence Systems Spending Market - The Biggest Trends to Watch out for 2017-2027

The global artificial intelligence systems spending market is estimated to be valued at US$ 11.7 Bn in the year 2017 and is slated to touch a value of US$ 516.2 Bn by the end of the year 2027, exhibiting a CAGR of 46.1% over the period of assessment (2017-2027).

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Unlimited access to computing power through cloud technology

The next generation cloud computing model built around the AI capabilities should be able to run deep learning or AI applications. The potential for cloud computing is to lower computing costs and increase business flexibility. AI uses large volume of data stored and can be utilized for cloud robotics, automation, intelligent actions and machine learning. Artificial Intelligence with cloud computing add advancements using new use cases to improvise the systems developed so far. The current AI cloud landscape is categorized into two groups-AI cloud services and cloud machine learning platforms. AI Cloud Services include technologies such as Microsoft Cognitive Services, IBM Watson etc.

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Convergence of AI and Big Data

The convergence of AI and big data is an important development that is shaping the future of companies deriving business value from data and analytics capabilities. Lack of data availability, limited sample size and inability to analyze massive amount of data in milliseconds limit the scope of AI and machine learning. The availability to access greater volumes and sources of data with agility and ready access has enabled the capabilities of AI and machine learning. Big data provides fascinating possibility for the technology by analyzing the data in real time. MetLife, one of the largest global providers of insurance, employee benefit and annuities programs, has also adopted AI technology with big data.

Investment in the skilled workforce

Major companies are focusing on high investment on hiring artificial intelligence engineers due to its rapid growth across the globe. Artificial intelligence is majorly used to transform the enterprise businesses and reduce the reaction time. Various companies such as IBM Corp, Salesforce.com Inc., Google Inc., Facebook Inc. and many other companies are paying high salary to retain their highly skilled employees. Hence, the one of major restraining factor of artificial intelligence is high investment on a highly skilled workforce.

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