Global Artificial Intelligence in Big Data Analytics and IoT Market 2017-2022: Focus on Data Capture, Information and Decision Support Services - Research and Markets

DUBLIN--()--Research and Markets has announced the addition of the "Artificial Intelligence in Big Data Analytics and IoT: Market for Data Capture, Information and Decision Support Services 2017 - 2022" report to their offering.

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 forecasting for unit growth and revenue from 2017 - 2022 associated with AI supported predictive analytics solutions.

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 support of unstructured data analytics solutions.

Report Benefits:

- Forecasts for AI in predictive analytics 2017 to 2022

- 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

Key Topics Covered:

1 Introduction

2 Overview

2.1 Artificial Intelligence and Machine Learning

2.2 AI Types

2.3 AI and ML Language

2.4 Artificial Intelligence Technology

2.5 AI and ML Technology Goal

2.6 AI Approaches

2.7 AI Tools

2.8 AI Outcome

2.9 Neural Network and Artificial Intelligence

2.10 Deep Learning and Artificial Intelligence

2.11 Predictive Analytics and Artificial Intelligence

2.12 Internet of Things and Big Data Analytics

2.13 IoT and Artificial Intelligence

2.14 Consumer IoT, Big Data Analytics, and Artificial Intelligence

2.15 Industrial IoT, Big Data Analytics, and Machine Learning

2.16 Artificial intelligence and cognitive computing

2.17 Transhumanism or H+ and Artificial Intelligence

2.18 Rise of the Analysis of Things

2.19 Supervised vs. Unsupervised Learning

2.20 AI as New form of UI

3 AI Technology in Big Data and IoT

3.1 Machine Learning Everywhere

3.2 Machine Learning APIs and Big Data Development

3.3 Enterprise Benefits of Machine Learning

3.4 Machine Learning in IoT Data

3.5 Ultra Scale Analytics and Artificial Intelligence

3.6 Rise of Algorithmic Business

3.7 Cloud Hosted Machine Intelligence

3.8 Contradiction of Machine Learning

3.9 Value Chain Analysis

4 AI Technology Application and Use Case

4.1 Intelligence Performance Monitoring

4.2 Infrastructure Monitoring

4.3 Generating Accurate Models

4.4 Recommendation Engine

4.5 Blockchain and Crypto Technologies

4.6 Enterprise Application

4.7 Contextual Awareness

4.8 Customer Feedback

4.9 Self-Driving Car

4.10 Fraud Detection System

4.11 Personalized Medicine and Healthcare Service

4.12 Predictive Data Modelling

4.13 Smart Machines

4.14 Cybersecurity Solutions

4.15 Autonomous Agents

4.16 Intelligent Assistant

4.17 Intelligent Decision Support System

4.18 Risk Management

4.19 Data Mining and Management

4.20 Intelligent Robotics

4.21 Financial Technology

4.22 Machine Intelligence

5 AI Technology Impact on Vertical Market

5.1 Enterprise Productivity Gain

5.2 Digital Twinning and Physical Asset Security

5.3 IT Process Efficiency Increase

5.4 AI to Replace Human Form Work

5.5 Enterprise AI Adoption Trends

5.6 Inclusion of AI as IT Requirement

6 AI Predictive Analytics in Vertical Industry

7 AI Solution in Big Data and IoT Market Forecast 2017 - 2022

7.4 AI Predictive Analytics Market 2017 - 2022

8 AI Embedded Connected IoT Device and Things 2017 - 2022

9 Company Analysis

10 Conclusions and Recommendations

10.1 AI in the Next Decade

10.2 Recommendation for Data Analytics Providers

10.3 Recommendation for AI and Machine Learning Companies

10.4 Recommendation for IoT Companies and Equipment Manufacturers

10.5 Recommendation for Service Providers

10.6 Recommendations for Enterprise

11 Appendix

11.1 AI Embedded IoT Device Sales Revenue

11.2 AI Optimized IoT Component Market

11.3 AI Optimized IoT Equipment Market

11.4 AI Optimized IoT Software Market

11.5 AI Optimized IoT Platform Market

Companies Mentioned

- Amazon.com Inc.

- AOL Inc.

- Apple Inc.

- Augury Systems Ltd.

- Baidu Inc.

- C-B4

- CISCO Systems Inc.

- Comfy

- Facebook Inc.

- FocusMotion

- glassbeam

- Google Inc.

- H2O.ai

- Happiest Minds Technologies

- IBM Corporation

- imagimob

- Inbenta

- Infineon Technologies AG

- Intel Corporation

- MAANA

- McAfee

- Microsoft Corporation

- mnubo

- MoBagel

- moov

- NEURA

- NVIDIA Corporation

- OpenAI

- PointGrab Ltd.

- Salesforce.com

- Sentenai Inc.

- Sentrian

- Skype

- SparkCognition Inc.

- Tachyus

- Tellmeplus

- Tesla Inc.

- Twitter Inc.

- Veros Systems Inc.

- x.ai

- Yahoo Inc.

For more information about this report visit http://www.researchandmarkets.com/research/mzdp2h/artificial

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For E.S.T. Office Hours Call 1-917-300-0470
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Related Topics: Data Storage and Management, Internet of Things and M2M, Big Data, Data Analytics, Artificial Intelligence

Contacts

Research and Markets
Laura Wood, Senior Manager
press@researchandmarkets.com
For E.S.T. Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900
U.S. Fax: 646-607-1907
Fax (outside U.S.): +353-1-481-1716
Related Topics: Data Storage and Management, Internet of Things and M2M, Big Data, Data Analytics, Artificial Intelligence