Goto

Collaborating Authors

Results


Artificial Intelligence Software Industry Overview – 3w Market News Reports

#artificialintelligence

JCMR recently announced market survey which covers overall in-depth study including additional study on COVID-19 impacted market situation on Global Artificial Intelligence Software Market. The Research Article Entitled Global Artificial Intelligence Software Market provides very useful reviews & strategic assessment including the generic market trends, upcoming & innovative technologies, industry drivers, challenges, regulatory policies that propel this Universal market place, and major players profile and strategies. The research study provides forecasts for Artificial Intelligence Software investments till 2029. There are following 15 Chapters to display the Global Artificial Intelligence Software Market. Table of Contents 1 Market Overview 1.1 Global Artificial Intelligence Software Introduction 1.2 Market Analysis by On-Premise Cloud-based 1.3 Market Analysis by Voice Processing Text Processing Image Processing 1.4 Market Analysis by North America, Europe, China, Japan, Rest of the World 1.5 Market Dynamics 1.5.1 Market Opportunities 1.5.2


Global Artificial Intelligence and Cognitive Computing Market Dynamics, Trends, Opportunities, Drivers, Challenges and Influence Factors Shared in a Latest Report

#artificialintelligence

The global Artificial Intelligence and Cognitive Computing market is valued at million US$ in 2018 is expected to reach million US$ by the end of 2025, growing at a CAGR of during 2019-2025. This report focuses on Artificial Intelligence and Cognitive Computing volume and value at global level, regional level and company level. From a global perspective, this report represents overall Artificial Intelligence and Cognitive Computing market size by analyzing historical data and future prospect. Regionally, this report focuses on several key regions: North America, Europe, China and Japan. Key companies profiled in Artificial Intelligence and Cognitive Computing Market report are Apple Inc., Facebook, Google, Ibm, Microsoft and more in term of company basic information, Product Introduction, Application, Specification, Production, Revenue, Price and Gross Margin (2014-2019), etc.


Global Deep Learning System Market Analysis by Market Key Player, Product Application & Geography

#artificialintelligence

Deep Learning System Market report offers detailed analysis and a five-year forecast for the global Deep Learning System industry. Deep Learning System market report delivers the insights which will shape your strategic planning as you estimate geographic, product or service expansion within the Deep Learning System industry.. The Deep Learning System market accounted for $XX million in 2018, and is expected to reach $XX million by 2024, registering a CAGR of YY% from 2019 to 2024. The global Deep Learning System market is segmented based on product, end user, and region. Region wise, it is analyzed across North America (U.S., Canada, and Mexico), Europe (Germany, UK, Italy, Spain, France, and rest of Europe), Asia-Pacific (Japan, China, Australia, India, South Korea, Taiwan, and, rest of Asia-Pacific) and EMEA (Brazil, South Africa, Saudi Arabia, UAE, rest of EMEA). Ask more details or request custom reports to our experts at https://www.proaxivereports.com/pre-order/12206


Cloud Machine Learning Market Size by Type, Product, Application & Market Opportunities 2019-2024

#artificialintelligence

Cloud Machine Learning Market report offers detailed analysis and a five-year forecast for the global Cloud Machine Learning industry. Cloud Machine Learning market report delivers the insights which will shape your strategic planning as you estimate geographic, product or service expansion within the Cloud Machine Learning industry.. The Cloud Machine Learning market accounted for $XX million in 2018, and is expected to reach $XX million by 2024, registering a CAGR of YY% from 2019 to 2024. The global Cloud Machine Learning market is segmented based on product, end user, and region. Region wise, it is analyzed across North America (U.S., Canada, and Mexico), Europe (Germany, UK, Italy, Spain, France, and rest of Europe), Asia-Pacific (Japan, China, Australia, India, South Korea, Taiwan, and, rest of Asia-Pacific) and EMEA (Brazil, South Africa, Saudi Arabia, UAE, rest of EMEA). Ask more details or request custom reports to our experts at https://www.proaxivereports.com/pre-order/53269


Global Artificial Intelligence Robots Market Business Planning Research and Resources, Supply and Revenue By 2025 - WeeklySpy

#artificialintelligence

The Artificial Intelligence Robots Market report is a complete overview of the market, covering various aspects product definition, segmentation based on various parameters, and the prevailing vendor landscape. Analysis and discussion of important industry trends, market size, market share estimates are mentioned in the report. Artificial Intelligence Robots Market report includes historic data, present market trends, environment, technological innovation, upcoming technologies and the technical progress in the related industry. The Global Artificial Intelligence Robots Market accounted for USD 3.0 billion in 2017 and is projected to grow at a CAGR of 30.1% forecast to 2025. Some of the major countries covered in this report are U.S., Canada, Germany, France, U.K., Netherlands, Switzerland, Turkey, Russia, China, India, South Korea, Japan, Australia, Singapore, Saudi Arabia, South Africa and Brazil among others.


Global Machine Learning in Education Market Size, Status and Forecast 2019-2025

#artificialintelligence

Machine learning has the potential to support aspects of teaching and learning that are currently time consuming and difficult to manage, such as individual project work, collaboration, tutorials and self-directed learning. In 2018, the global Machine Learning in Education market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025. This report focuses on the global Machine Learning in Education status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Machine Learning in Education development in United States, Europe and China. The key players covered in this study IBM Microsoft Google Amazon Cognizan Pearson Bridge-U DreamBox Learning Fishtree Jellynote Quantum Adaptive Learning Market segment by Type, the product can be split into Cloud-Based On-Premise Market segment by Application, split into Intelligent Tutoring Systems Virtual Facilitators Content Delivery Systems Interactive Websites Others Market segment by Regions/Countries, this report covers United States Europe China Japan Southeast Asia India Central & South America The study objectives of this report are: To analyze global Machine Learning in Education status, future forecast, growth opportunity, key market and key players.


Artificial Intelligence Unlocking Advertising Potential

#artificialintelligence

We welcome the Founder & CEO of a German Ad-Tech startup firm ADLUUX in Hong Kong. Ivan Skoko will share his insights and tools for advertising agencies to leverage and optimise client advertising dollars. What Facebook and Google did to the online advertising will be be extended in public (also called out-of-home) advertising. Public advertising is expecting a mega paradigm shift and high growth, if the right AI strategies are adopted. More interesting is how technology (including AI) is driving the change where advertisers are able to captivate their audience via public screens and communicate to masses in an efficient way.


Robot Market: Major Technology Giants in Buzz Again ABB, Automation, Ecovacs, EFFORT Intelligent Equipment, Estun Automation, FANUC – Industry News Stock

#artificialintelligence

Global Robot Market Size (Sales) Market Share by Type (Product Category) [Industrial Robots, Service Robots] in 2018 Robot Market by Application/End Users [Automotive & Parts, Electronic Information, Machine Tools, Food Industry, Medical, Family Life, Others] Global Robot Sales (Volume) and Market Share Comparison by Applications Global Global Robot Sales and Growth Rate (2014-2025) Robot Competition by Players/Suppliers, Region, Type and Application Robot (Volume, Value and Sales Price) table defined for each geographic region defined. Global Robot Players/Suppliers Profiles and Sales Data Additionally Company Basic Information, Manufacturing Base and Competitors list is being provided for each listed manufacturers Market Sales, Revenue, Price and Gross Margin (2014-2018) table for each product type which include Cost Structure Analysis Key Raw Materials Analysis & Price Trends Supply Chain, Sourcing Strategy and Downstream Buyers, Industrial Chain Analysis ……..and view more in complete table of Contents


JD and Philips Bring Unprecedented Precision to Retail with AI - JD Corporate Blog

#artificialintelligence

JD and leading health technology company Philips are using AI to maximize the performance of the brand's flagship store by better understanding its consumers and their behavior. The partnership leverages JD's unique AI-driven retail solution, which can provide a comprehensive analysis of a brand's performance and help develop a smart marketing solution that covers product strategy, market analysis, marketing management and more. The partnership was announced at the World Artificial Intelligence Conference held in Shanghai from August 29-31. The addition of AI to the puzzle allows brands like Philips to make sense of not only "structured data", which is comprised of clearly defined data types whose pattern makes them easily searchable, but also "unstructured data", which is comprised of data that is usually not as easily searchable, including formats like audio, video and social media, such as customer reviews, customer service feedback, product pages, advertisement videos and more. This is possible thanks to computer vision and natural language technology.


Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments

arXiv.org Machine Learning

Firms implementing digital advertising campaigns face a complex problem in determining the right match between their advertising creatives and target audiences. Typical solutions to the problem have leveraged non-experimental methods, or used "split-testing" strategies that have not explicitly addressed the complexities induced by targeted audiences that can potentially overlap with one another. This paper presents an adaptive algorithm that addresses the problem via online experimentation. The algorithm is set up as a contextual bandit and addresses the overlap issue by partitioning the target audiences into disjoint, non-overlapping sub-populations. It learns an optimal creative display policy in the disjoint space, while assessing in parallel which creative has the best match in the space of possibly overlapping target audiences. Experiments show that the proposed method is more efficient compared to naive "split-testing" or non-adaptive "A/B/n" testing based methods. We also describe a testing product we built that uses the algorithm. The product is currently deployed on the advertising platform of JD.com, an eCommerce company and a publisher of digital ads in China.