If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Browse 67 tables and 48 figures spread through 205 pages and in-depth TOC on "Artificial Intelligence Market - Global Forecast to 2025" The market for services is expected to grow at the highest CAGR between 2018 and 2025. The adoption of AI is rapidly increasing in various applications. As AI is a...
According to the "Artificial Intelligence in Marketing Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Context-Aware Computing, NLP, Computer Vision), Deployment Type, Application, End-User Industry, and Geography - Global Forecast to 2025", published by MarketsandMa...
Halo announced today the worldwide release of HaloBoost, Halo's proprietary demand forecasting engine that leverages proven Machine Learning algorithms. HaloBoost combines Machine Learning methods to improve forecast accuracy over time, a high-speed modeling workflow to improve analyst productivity and knowledge discovery, and a simple, scalable method to introduce external factors like pricing, promotion, social media, and weather predictors. "Manufacturers, Distributors, and Retailers have been seeking tools that can provide simplification in the forecasting process to improve accuracy and throughput, and we've responded by introducing our most powerful modeling engine, HaloBoost . Traditional approaches are limited in their ability to maximize forecast accuracy without significant analyst effort across broad and sparse data dimensions such as regions, points-of-sale, and SKU-level granular forecasts. Our proprietary modeling workflow effectively uses the computer to simulate a large team of forecast experts, working in real-time, to find the best result across a broad range of forecast scenarios," said Bill Panak, Ph.D. Vice President of Data Sciences, Halo.
Gartner's latest IT spending forecast has predicted a massive boost in IT spending on enterprise software. The analyst forecast that enterprise software will continue to show strong growth, with worldwide software spending increasing by 9.5% in 2018 and by 8.4% in 2019 to reach a total of $421bn. The current potential of the UK technology industry is restricted by the lack of tech and digital talent available. You forgot to provide an Email Address. This email address doesn't appear to be valid.
The "Artificial Intelligence Market in Insurtech: By Type; By Application - Forecast (2017 - 2022)" report has been added to Research and Markets' offering. Artificial Intelligence (AI) is described as the science of creating intelligent machines capable of performing real time tasks at a level of human expert emphasizing nearly every business operation across various business sectors. Traditional review methods in insurance sector posed several threats related to policy making, premium rates fixing and risk of grouping policy holders. The evolution of AI as an insurance technology is mitigating these risks and also supporting the insurers in decision making. The increased level of personalization and better outcomes to the customers offered by AI are the major driving factors for the rise of AI in insurance sector.
Apple confirmed a theory many users have had for years: the iPhone gets slower with age. The confirmation comes after Reddit users noticed their devices were getting slower as the batteries in their iPhones got weaker. Apple heads into the new year with some unusually downbeat news: its new iPhone X isn't proving to be quite the sales darling that some of its previous smartphones have been. Shares of Cupertino tech giant were down 3% in early trading Tuesday after several market analysts forecast lower than expected demand for the latest iPhone, with its edge-to-edge screen, face-recognition software and lofty price. Apple could cut its sales forecast for the first quarter of 2018 to 30 million units, down from an initial target of 50 million, according to a report in Taiwan's Economic Daily News cited by Reuters.
Robots may keep Tesla's CEO up at night, but companies around the globe are interested in putting them to work, according to new research from Tractica. In a press release Tractica, the market intelligence firm, announced its forecast that more than 23,000 robots will be deployed for customer service applications from last year through 2022. During the forecast period, the robots will generate $451 million in revenue. Nearly half of all the customer service robots will be found in Asia Pacific, but there will also be growth in the U.S. and Europe. "Fewer than five years ago, hardly anyone had seen or heard of robots in public and commercial spaces, as most of the developments were restricted to research labs," says research analyst Manoj Sahi in the press release highlighting results of its latest research.
Consumer enthusiasm for both emerging technology and resilient mature categories is exceeding expectations – driving the U.S. consumer technology industry to an estimated 3.2 percent revenue growth in 2017, earning $321 billion in retail revenues ($251 billion wholesale), according to new research from the Consumer Technology Association (CTA). The latest edition of CTA's semi-annual industry report, U.S. Consumer Technology Sales and Forecasts, also projects drones, OLED TV and virtual reality (VR) technology will each cross the $1 billion revenue milestone for the first time this year. "Driven by consumer demand for the products we already know and love, as well as new, innovative technologies, revenue growth in the consumer technology industry is exceeding expectations," said Gary Shapiro, president and CEO, CTA. "Not only are breakthrough technologies changing our lives for the better – such as drones delivering medical supplies to remote areas or the use of VR in patient care – tech is also a key driver of the U.S. economy, outpacing GDP growth, and reinforcing America's role as a global leader in innovation." CTA's semi-annual report serves as a benchmark for the consumer technology industry, charting the size and growth of underlying product categories.
One of the major factors that will have a positive impact on the growth of this market includes the rising usage of deep learning technology among various industries such as automotive, advertisement, medical and others. Moreover, increasing acceptance of cloud based technology, high usage of deep learning in big data analytics, high R&D expansions for enhanced processing hardware for deep learning and rising applicability in healthcare and autonomous vehicles are fueling the market growth. Moreover, the market has tremendous growth opportunity such as utilization of deep learning technology in smartphones and medical image analysis. Depending on application, data mining segment is anticipated to grow at a highest CAGR during the forecast period attributed to growing utilization of deep learning in cybersecurity and database systems and data analytics.
The concept behind NLP is simple: if and when machines can understand and communicate with humans in natural (human) language, it democratizes data science, enabling humans to access, analyze, and leverage data more intelligently and become more efficient as they offload redundant, data-heavy tasks to machines. The market intelligence firm anticipates that NLP software deployments will drive significant additional sales of hardware and professional services, bringing the total NLP software, hardware, and services market opportunity to $22.3 billion by the end of the forecast period. Tractica's report, "Natural Language Processing", examines 42 NLP use cases, identifying those applications best suited for commercial use. In addition, the report details the market trends and technology issues surrounding natural language processing and presents 10-year forecasts for NLP hardware, software, and services during the period from 2016 through 2025.