More than 50% of enterprise IT organizations are experimenting with Artificial Intelligence (AI) in various forms such as Machine Learning, Deep Learning, Computer Vision, Image Recognition, Voice Recognition, Artificial Neural Networks, and more. AI is not a single technology but a convergence of various technologies, statistical models, algorithms, and approaches. Machine Learning is a sub-field of computer science that evolved from the study of pattern recognition and computational learning theory in AI.
Companies covered in the Artificial Intelligence and Machine Learning Market report are : Amazon, AOL, Apple, Augury Systems, Baidu, C-B4, Comfy, Facebook, FocusMotion, Glassbeam, Google, H2O.ai, IBM, Imagimob, Inbenta, Intel, Maana, Microsoft, mnubo, MoBagel, Moov, Neura, NVIDIA, OpenAI, PointGrab, Salesforce, Sentenai, Sentrian, Skype, SparkCognition, Tachyus, Tellmeplus, Tesla, Twitter, Veros Systems, x.ai, and Yahoo.
Every large corporation collects and maintains a huge amount of human-oriented data associated with its customers including their preferences, purchases, habits, and other personal information. As the Internet of Things (IoT) progresses, there will an increasingly large amount of unstructured machine data. The growing amount of human-oriented and machine generated data will drive substantial opportunities for AI and Machine Learning support for unstructured data analytics solutions.
North America will lead the AI in Big Data and IoT through 2021
Autonomous robots and intelligent agents will be the top application areas
The AI powered predictive analytics market will reach $18.5 billion by 2021
AI will find its way into edge data devices for security and real-time data analytics
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This research evaluates various AI technologies and their use relative to analytics solutions within the rapidly growing enterprise data arena. The report assesses emerging business models, leading companies, and solutions. The report also provides forecasts for unit growth and revenue from 2016 – 2021 associated with AI supported predictive analytics solutions. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you’re addressing. This needs to be used within three months of purchasing the report.
Forecasts for AI in predictive analytics 2016 to 2021
Identify highest potential AI technology area opportunities
Understand AI strategies and initiatives of leading companies
Learn the optimal use of AI for smart predictive analytics in IoT data
Understand the AI in Big Data, Analytics, and IoT ecosystem and value chain
Identify opportunities for AI in Analytics for IoT and other unstructured data
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List of Figures from List of Tables is as below:
Figure 1: Artificial Intelligence Technology
Figure 2: Sentiment Analysis with Deep Machine Learning
Figure 3: Artificial Intelligence (AI) and Predictive Layer System
Figure 4: Industrial IoT Landscape and Machine Learning as a Service (MLaaS)
Figure 5: Machine Learning Use Case Scenario
Figure 6: Artificial Intelligence and Machine Learning Landscape and Impact
Figure 7: Global AI Powered Predictive Analytics Market 2016 – 2021
Figure 8: AI Powered Analytics Driven Productivity Gains in Industry Verticals 2016 – 2021
Figure 9: AI Driven System and Hardware Market 2016 – 2021
Figure 10: AI Driven Cognitive Computing Market 2016 – 2021
Figure 11: Business Content Created by AI Powered Smart Machines 2018 – 2021
Figure 12: Worker Supervision by AI Powered Robo-Boss 2018 – 2021
Figure 13: Building Security System by AI Capabilities 2018 – 2021
Figure 14: Business Analytics Software by AI Powered Predictive Analytics 2018 – 2021
Figure 15: AI powered Smart Machines vs. Humans 2018 – 2021
Figure 16: Global AI Connected Devices Deployment 2016 – 2021
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