AI News, 5 market research trends to watch in 2018 artificial intelligence

MarketWatch site logo .svg1{fill:#ffffff;} .svg2{fill:#00AC4E;}

Mar 11, 2019 (Heraldkeeper via COMTEX) -- Global Artificial Intelligence and Cognitive Computing Industry New Study On “2018-2025 Artificial Intelligence and Cognitive Computing Market Global Key Player, Demand, Growth, Opportunities and Analysis Forecast” Added to Wise Guy Reports Database This report studies the global Artificial Intelligence and Cognitive Computing market status and forecast, categorizes the global Artificial Intelligence and Cognitive Computing market size (value &

Africa On the basis of product, this report displays the production, revenue, price, market share and growth rate of each type, primarily split into  Natural Language Processing  Machine Learning  Deep Learning  Automated Reasoning  Information Retrieval  On the basis of the end users/applications, this report focuses on the status and outlook for major applications/end users, consumption (sales), market share and growth rate for each application, including  Healthcare  Retail &

Telecom  Others The study objectives of this report are:  To analyze and study the global Artificial Intelligence and Cognitive Computing capacity, production, value, consumption, status (2013-2017) and forecast (2018-2025);  Focuses on the key Artificial Intelligence and Cognitive Computing manufacturers, to study the capacity, production, value, market share and development plans in future.  Focuses on the global key manufacturers, to define, describe and analyze the market competition landscape, SWOT analysis.  To define, describe and forecast the market by type, application and region.  To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints and risks.  To identify significant trends and factors driving or inhibiting the market growth.  To analyze the opportunities in the market for stakeholders by identifying the high growth segments.  To strategically analyze each submarket with respect to individual growth trend and their contribution to the market  To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market  To strategically profile the key players and comprehensively analyze their growth strategies.

Artificial Intelligence and Cognitive Computing Capacity, Production, Revenue, Price and Gross Margin (2013-2018)  7.1.4 Main Business/Business Overview  7.2 Facebook  7.2.1 Company Basic Information, Manufacturing Base, Sales Area and Its Competitors  7.2.2 Artificial Intelligence and Cognitive Computing Product Category, Application and Specification  7.2.2.1 Product A  7.2.2.2 Product B  7.2.3 Facebook Artificial Intelligence and Cognitive Computing Capacity, Production, Revenue, Price and Gross Margin (2013-2018)  7.2.4 Main Business/Business Overview  7.3 Google  7.3.1 Company Basic Information, Manufacturing Base, Sales Area and Its Competitors  7.3.2 Artificial Intelligence and Cognitive Computing Product Category, Application and Specification  7.3.2.1 Product A  7.3.2.2 Product B  7.3.3 Google Artificial Intelligence and Cognitive Computing Capacity, Production, Revenue, Price and Gross Margin (2013-2018)  7.3.4 Main Business/Business Overview  7.4 IBM  7.4.1 Company Basic Information, Manufacturing Base, Sales Area and Its Competitors  7.4.2 Artificial Intelligence and Cognitive Computing Product Category, Application and Specification  7.4.2.1 Product A  7.4.2.2 Product B  7.4.3 IBM Artificial Intelligence and Cognitive Computing Capacity, Production, Revenue, Price and Gross Margin (2013-2018)  7.4.4 Main Business/Business Overview  7.5 Microsoft  7.5.1 Company Basic Information, Manufacturing Base, Sales Area and Its Competitors  7.5.2 Artificial Intelligence and Cognitive Computing Product Category, Application and Specification  7.5.2.1 Product A  7.5.2.2 Product B  7.5.3 Microsoft Artificial Intelligence and Cognitive Computing Capacity, Production, Revenue, Price and Gross Margin (2015-2018)  7.5.4 Main Business/Business Overview 8

The top 7 trends for facial recognition in 2018

blockchain, face recognition certainly represents a significant digital challenge for all companies and organizations - and especially governments. 

​In this dossier, you'll discover the 7 face recognition facts and trends that are set to shape the landscape in 2018.​ Let’s jump right in​.​​ Since its invention in the 1970s, face recognition has made giant strides forward. 

Biometrics are used to identify and authenticate a person using a set of recognizable and verifiable data unique and specific to that person.

​​So, what is the best face recognition software?​​​​​​ ​In the race for biometric innovation, several projects are vying for the top spot.

All the software web giants now regularly publish their theoretical discoveries in the fields of artificial intelligence, image recognition and face analysis in an attempt to further our understanding as rapidly as possible.

GaussianFace algorithm developed in 2014 by researchers at Hong Kong University achieved facial identification scores of 98.52% compared with the 97.53% achieved by humans.

DeepFace program which can determine whether two photographed faces belong to the same person, with an accuracy rate of 97.25%.

Ars Technica reported that Amazon is already actively promoting its cloud-based face recognition service named Rekognition to law enforcement agencies.

The solution could recognize as many as 100 people in a single image and can perform face match against databases containing tens of millions of faces.​​​ 

Newsweek reported that Amazon’s facial recognition technology falsely identified 28 members of US Congress as people arrested for crimes. ​ At the end of May 2018, the US Homeland Security Science and Technology Directorate published the results of sponsored tests at the Maryland Test Facility (MdTF) done in March.

Facial recognition software (LFIS) achieved excellent results with a face acquisition rate of 99.44% in less than 5 seconds (against an average of 68%), a Vendor True Identification Rate of 98% in less than 5 seconds compared with an average 66%, and an error rate of 1% compared with an average 32%. 

March 2018 – The live testing done using more than 300 volunteers identified the best-performing facial recognition technologies. 

identify emotions such as disgust, joy, anger, surprise, fear or sadness on a human face with image processing software.

Providers include Kairos (face and emotion recognition for brand marketing), Noldus, Affectiva, Sightcorp, Nviso among others.​ The feature common to all these disruptive technologies is known as deep learning. 

It's a central component of the latest-generation algorithms developed by Gemalto and other key players in the market, and holds the secret to face detection, face tracking and face match as well as real-time translation of conversations. 

By understanding the algorithm on which the human brain is based…reverse engineering will allow us to bring the potential of the human brain to artificial networks." 

A study in June 2016 estimated that by 2022, the global face recognition market would generate $9.6 billion of revenue, supported by a compound annual growth rate (CAGR) of 21.3% over the period 2016-2022. 

Facebook, sales staff are provided with customer information taken from their social media profiles to produce expertly customized responses. 

Since 2017, KFC​, the American king of fried chicken, and Chinese retail and tech giant Alibaba, have been testing a face recognition payment solution in Hangzhou, China.

176 million surveillance cameras were in use at the end of 2017 and 626 million are expected by 2020.​ In India, the Aadhaar project is the largest biometric database in the world.

It's very much the spirit of Gemalto Assurance Hub where geolocation, ip-addresses (the device being used) and keying patterns can create a strong combination to securely authenticate users for on-line banking or egovernment services.

If you've something to say on facial recognition apps, tech or trends, a question to ask, or have simply found this article useful, please leave a comment in the box below.

MarketWatch site logo .svg1{fill:#ffffff;} .svg2{fill:#00AC4E;}

Mar 07, 2019 (Heraldkeeper via COMTEX) -- The report on the global Artificial Intelligence in Marketing market covers historical market trends, current market dynamics, market valuation by segmentation as well as region, country-level analysis for every segment, key player’s market share analysis, competitive landscape and supply chain analysis.

Market Highlights: The growing need for high computation power, huge volume of data generated each day, cloud-based services, and development in advanced algorithms allows companies to experiment with artificial intelligence (AI) technology.

AI uses techniques such as machine learning, deep learning, natural language processing, adaptive learning, and computer vision to analyze the enterprise data and offer detailed insights about the market which helps in making informed decisions for better management of the enterprise.

Also, with continuous advancements in AI technology, chatbots, and digital virtual assistants are also being developed which helps in offering more relevant content to the user which helps in enhancing the overall consumer experience.

By technology, the artificial intelligence in marketing market is segmented into machine learning, adaptive learning, natural language processing, natural language generation, speech recognition, advanced analytics, and computer vision.

North America has emerged as the leading player in the global AI in marketing market in the last few years and is likely to remain in the dominant position in the market over the coming years due to the widespread incorporation of data tracking algorithms into corporate strategizing and decision making.

Our market research studies by products, services, technologies, applications, end users, and market players for global, regional, and country level market segments, enable our clients to see more, know more, and do more, which help to answer all their most important questions.

Gartner Top 10 Strategic Technology Trends 2019

Blockchain, artificial intelligence, empowered edge, privacy and ethics, quantum computing, immersive experiences, augmented analytics, autonomous things ...

Artificial Intelligence & Computer Vision Key Trend for 2018

Tom Edwards, Ad Age Marketing Technology Trailblazer and Chief Digital Officer, Agency @ Epsilon discusses how computer vision, powered by artificial ...

Gartner Top 10 Strategic Technology Trends 2018

Artificial intelligence, immersive experiences, digital twins, event-thinking and continuous adaptive security create a foundation for the next generation of digital ...

The Top 5 Event Technology Trends to Watch in 2018

If you're an event planner, if you're an event professional, if you're starting out with your business or your career in events, you want to watch this video. We give ...

Top Tech Trends To Watch In 2019

Gary Shapiro, president and CEO of the Consumer Technology Association, discusses top technology trends to watch ahead of CES 2019, including 5G, ...

Machine Learning in Marketing | C3 2017 | Dharmesh Shah

Jump in — grab your tickets to C3 2018 now. | Machine Learning in Marketing and the Age of Marketing AI Dharmesh Shah, Founder and ..

Telecommunications Industry Outlook 2018

Deloitte's 2018 Telecommunications industry outlook provides insight on how key trends will impact the Telecom industry this year.

Marketing Automation Tools, Content Marketing Tools & AI Content Creation - Growth Insights #4

Welcome back to Growth Insights! In this episode we will share Marketing Automation Tools, Content Marketing Tools & AI Content Creation and more on a ...

The Must-Have Future Career: Analytics Translator | AI for Business #4

Welcome back to AI for Business! In this episode we're going to be examining what some are calling the 'must-have' future career - the Analytics Translator!

Top Demanding Job Skills in 2018 & Beyond | Highest Paying Jobs | Top Technical Skills

Top Demanding Job Skills in 2018 & Beyond | Jobs with High Salary | Top Technical Skills ...