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Global Artificial Intelligence in Supply Chain Market size was valued US$ XX 2019 and the total revenue is expected to grow at XX% through 2020 to 2027, reaching nearly US$ 11.2 Bn.Definition:The artificial intelligence (AI) in supply chain is a field holds secure development prospects, inferable from which, the companies are concentrating on building up an incorporated arrangement with programming and equipment.Market Dynamics:Artificial Intelligence (AI) in supply chain is presented to improve and make ‘thinking machines’ which is capable of learning, replacing human intelligence and imitating.In 2016 AI and ML emerging as the next big technology has seen a race for AI, with a number of acquisitions and large technology vendors like IBM, Google and Amazon are launching a new AI-enabled product.So, the scope of the report includes a detailed study of global and regional markets for artificial intelligence in supply chain with the reasons given for variations in the growth of the industry in certain regions.Market Segmentation:The MMR report covers all segments in the artificial intelligence in supply chain markets such as offering, technology, application and industry.This is driven by the growing demand for artificial intelligence-based intelligent solutions; growing government initiatives; and the ability of AI solutions to efficiently handle and study big data and quickly scan, parse, and react to variances.Regional Analysis:In 2019, North America is expected to continue to hold the largest XX% share in artificial intelligence in supply chain market owing to higher awareness and adoption of AI technologies among different industries in the region and growing dedication of business enterprises towards enhancing the applications & solutions in their existing supply chain systems.The growth is majorly attributed to the upward demand for AI-based business solutions for automation across various operational areas with supply chain management.Country-wise Analysis:The U.S is the principal market in the region of North America.
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Not all cybersecurity degree programs require programming knowledge, unlike those in computer science.Even so, knowing programming can be an advantage in the workplace.As you consider your future, it’s important to understand the advantages and disadvantages of computer science education compared to those of a more specialized program of study like cybersecurity.Should you pursue graduate education in cybersecurity?Or would a computer science degree be better for you?
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