Press release
Artificial intelligence is changing the way e-commerce retailers store
Unlimited access to computing power through cloud technologyThe 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.
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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.
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.
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Growth of AI systems in commerce and retail
Artificial intelligence is changing the way e-commerce retailers store and operate as it delivers a modern way of analyzing big data, helping e-commerce retailers to get involved with their customers in a deeper level and provide excellent customer experience. AI helps to deliver the messages to the right customers at the right time, which helps to increase the overall revenue.
Global Artificial Intelligence Systems Spending Market Attractiveness Index, by Technology
Amongst all technologies, deep learning accounts for a 50.8% value share in the global artificial intelligence systems spending market by 2027 end, followed by machine learning with a 24.8% value share. Deep Learning is expected to show a higher incremental value during the forecast period as compared to other technologies.
Deep Learning segment is projected to exhibit a CAGR of 49.3% over the forecast period. Natural language processing segment is expected to account for an 11.3% value share by 2027 end and will register a CAGR of 42.9% over the forecast period.
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