TECH GURU, TECH-SCIENCE NEWS

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and what I assume you shall assume,
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Wednesday, April 3, 2013

Artificial Intelligence in Big Data, Commercial Apps, Mobility and Search

My new Research Published by Mindcommerce. Please look at the report. Artificial Intelligence (AI) facilitates the efficient and effective supply of information to enterprises for optimized business decision-making. Major IT and software vendor companies are investing billions to generate revenue from AI based commercial solutions in various areas including robotics, machine translators, chat bots, voice recognizers, business intelligence systems, mobility control systems, intelligent search, and more. The AI based solution market is valued at US$ 900 million globally by year end 2013 and is expected to grow exponentially over the next five years. Some of the biggest opportunity areas are commercial applications, search in the Big Data environment, and mobility control for generation of actionable business intelligence. The entire mobile/wireless ecosystem is well-positioned for AI via the growing adoption and expanded usage of consumer and enterprise electronics devices including smartphone, tablet, portable devices and wearable technologies. This research evaluates the market for AI solutions within commercial applications, business intelligence, search analytics in mobility environment, and more. This report analyzes the potential for enterprises to improve performance through AI, development of AI solution in cloud environment, and AI for Big Data control. The report also includes vendor analysis and market predictions. Target Audience: • AI companies • Big Data companies • Mobile network operators • Wireless device manufacturers • Wireless application developers • Analytics and data reporting companies • Cloud infrastructure and service providers Companies in Report: APPLE, GOOGLE, MICROSOFT, IBM, HP, INTEL, SAP, FACEBOOK, ORACLE, I2 TECHNOLOGIES, SAS SYSTEM, DELL, AMAZON, HTC, LG, SONY, NOKIA, LENOVO, SAMSUNG, OPTIMIZELY, NETFLEX, MOTOROLLA, TOSHIBA, DATLOGIC, HONEYWELL, TERADATA, TABLEU, QLIKTECH, TETAPP, FUZITSU, CLOUDERA, 10GEN, SPLUNK, ACTIAN, CISCO, ACCENTURE, HITACHI, VMWARE Table of Contents: Table of Contents: 1.0 EXECUTIVE SUMMARY 5 2.0 INTRODUCTION 7 3.0 ARTIFICIAL INTELLIGENCE 9 3.1.1 DEFINITIONS 9 3.1.2 PHILOSOPHY 10 3.1.3 THE BIRTH OF AI 11 3.1.4 AI TIMELINE 13 3.1.5 AI RESEARCH 14 3.1.6 RECENT AI RESEARCH AND IMPLEMENTATION 15 3.1.7 LOOKING FOR AI 15 3.1.8 FUNDAMENTAL CONCERN OF AI 16 3.1.9 AI TOOLS 18 4.0 BASIC ELEMENTS OF AI 20 4.1 STRONG ARTIFICIAL INTELLIGENCE 20 4.2 WEAK ARTIFICIAL INTELLIGENCE 20 4.3 AI AND NATURE 20 4.4 KNOWLEDGE REPRESENTATION 21 4.5 AI LANGUAGES AND TOOLS 22 4.6 PRINCIPAL AI APPLICATION AREAS 22 4.7 COMPARISON BETWEEN AI AND GENERAL PROGRAMMER 23 4.8 THREE LAWS OF ROBOTICS 23 4.9 TURING TEST 24 5.0 AI FUTURE PREDICTION 26 5.1 AI DOMINANT GLOBAL MARKET AND DOMINANT GLOBAL PLAYERS 27 5.2 WHERE IS AI? 27 5.3 AI BASED APPLICATIONS 28 5.4 AI ULTIMATE FUTURE AND PREDICTION 29 5.5 AI MARKET 30 5.6 THE BUSINESS CASE FOR ARTIFICIAL INTELLIGENCE 30 6.0 BIG DATA CASE FOR ARTIFICIAL INTELLIGENCE 31 6.1 WHAT IS BIG DATA? 31 6.2 BIG DATA MEANS FIVE `V’ 31 6.3 THE APPLICATION OF ARTIFICIAL INTELLIGENCE 32 6.4 BIG DATA FORECASTS AND MARKET ESTIMATES 35 6.5 BIG DATA MARKET HIGHLIGHTS AND TRENDS 38 7.0 ARTIFICIAL INTELLIGENCE IN MOBILE DEVICES 44 7.1 AI ON YOUR SMARTPHONE IS HELPFUL 44 7.2 AI MOBILITY 45 7.3 MOBILE DATA AS THE ENGINE FOR AI 46 8.0 VENDOR ANALYSIS 48 8.1 IBM 48 8.2 OPTIMIZELY 48 8.3 AMAZON 48 8.4 NETFLIX 48 8.5 APPLE 49 9.0 APPS & FAQ 50 10.0 MOBILITY, SEARCH & BIG DATA 51 11.0 CONCLUSIONS AND RECOMMENDATIONS 55 List of Graphs Figure 1: General Areas of Artificial Intelligence 10 Figure 2: Artificial Intelligence Breakthroughs 1950-2013 12 Figure 3: Artificial Intelligence Timeline1941-1991 13 Figure 4: The Basic Picture Underlying Russell’s Account of Intelligence/Rationality 16 Figure 5: Fundamental parts of AI 17 Figure 6: Neural Network 18 Figure 7: Elements of AI 21 Figure 8: AI Tools 22 Figure 9: Robot Laws 24 Figure 10: Turing Test system of AI Justify 24 Figure 11: AI Vendor Revenue 2012 26 Figure 12: AI Based Global Dominant Players 27 Figure 13: Where is AI? 27 Figure 14: AI Application Areas 29 Figure 15: AI Implementations Region 29 Figure 16: Big Data Market Overview 2013-2020 35 Figure 17: Big Data Revenue by Segments 2012-2013 39 Figure 18: Big Data Revenue by Type 2012-2013 40 Figure 19: Hadoop Based Company Revenues 2012-2013 41 Figure 20: Big Data Drivers 41 Figure 21: Big Data and Sample Application 42 Figure 22: Big Data and IT Spending 42 Figure 23: AI and Operating System Market Size 45 Figure 24: Mobile and AI sector Investment 2010-2013 46 Figure 25: Mobile Based AI Field Revenue CAGR 25% 46 Figure 26: Recent stored Data-Petabytes 47 Figure 27: AI Global Market Trends 2012-2220 51 Figure 28: BI market will Grow Smoothly 51 Figure 29: Big Data Search India-USA-Singapore-AUS-S. Korea 52 Figure 30: Big Data, AI, BI Search Comparison 52 Figure 31: AI Based New Sectors and Opportunity Smart Device Market Share% 53 Figure 32: AI Based JOB sector-Java, C+HTML,PHP 53 Figure 33: Top Auto Data Capture Suppliers Revenues 2013 54 List of Tables Table 1: Significant AI Researcher 14 Table 2: Four Possible Goals for AI 16 Table 3: AI’s Domain of Study 17 Table 4: Comparison of AI with Conventional Programming. 23 Table 5: AI Implemented Fields 28 Table 6: 2012 Worldwide Big Data Revenue $ 35 Table 7: Most Transformational Technologies 2013-2020 35 Table 8: Sector Sales Analysis 36 Table 9: Top Business Priorities in AI 38 Read more : http://www.techandteen.com/

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