Global Augmented Analytics Market was valued US$ 4.6Bn in 2018 and is expected to reach US$ 20.2Bn by 2026 at a CAGR of 19.98%. This report provides a detailed analysis of the market segment based on insurance type, sales channel and region. This report also focuses on the top players in North America, Europe, Asia Pacific, Middle East & Africa, and South America. The objective of the report is to present a comprehensive assessment of the market and contains thoughtful insights, facts, historical data, industry-validated market data and projections with a suitable set of assumptions and methodology. The report also helps in understanding the global augmented analytics market dynamics, structure by identifying and analysing the market segments and project the global market size.

This report on global Drone Analytics market is a detailed research study that helps provides answers and pertinent questions with respect to the emerging trends and growth opportunities in this particular industry. It helps identify each of the prominent barriers to growth, apart from identifying the trends within various application segments of the global market. The global Drone Analytics market size was 2.3 million US$ and it is expected to reach 5.6 million US$ by the end of 2025, with a CAGR of 10.4% during 2019-2025. Based on industry, the drone analytics market has been segmented into agriculture & forestry, construction, insurance, mining & quarrying, utility, telecommunication, oil & gas, transportation, scientific research, and others. The construction segment is projected to grow at the highest CAGR during the forecast period.

SHANGHAI: Jack Ma believes artificial intelligence poses no threat to humanity, but Elon Musk called that "famous last words" as the billionaire tech tycoons faced off Thursday in an occasionally animated debate on futurism in Shanghai. The Chinese co-founder of Alibaba and the maverick industrialist behind Tesla and SpaceX frequently pulled pained expressions and raised eyebrows as they kicked off an AI conference with a dialogue that challenged attendees to keep up, veering from technology to Mars, death, and jobs. However, the hot topic in the hour-long talk was AI, which has provoked increasing concern among scientists such as late British cosmologist Stephen Hawking who warned that it will eventually turn on and "annihilate" humanity. "Computers may be clever, but human beings are much smarter," Ma said. "We invented the computer -- I've never seen a computer invent a human being."

Artificial intelligence and machine learning algorithms are shaping the business processes across different industries. According to California-based customer service company Zendesk, 81% of Brazilian consumers would not hesitate to abandon a brand if they received poor service. Given this scenario, companies need to constantly seek for tools that help them stay competitive, ensuring the satisfaction of users by recognizing their service area as key for business transformation. "Companies are increasingly looking for artificial intelligence solutions, especially startups, as they look to do more with less, to have more productivity at lower cost," Zendesk Brasil sales director Marcelo Rocha told BNamericas. Zendesk provides customer services solutions to 145,000 customers in over 30 languages.

The greatest impact of intelligent technologies won't be from eliminating jobs but from changing what people do and driving innovation deeper into the business. Thoughtful adoption of intelligent technologies will be essential to survival for many companies. But simply implementing the newest technologies and automation tools won't be enough. Success will depend on whether organizations use them to innovate in their operations and in their products and services -- and whether they acquire and develop the human capital to do so. In a recent Deloitte survey of 250 executives familiar with how their companies are thinking about intelligent technologies, nearly three out of four said that they expected AI to substantially transform their organizations within three years.1 Of course, the workforce will be deeply affected by all this change. Yet even as AI eliminates some jobs in the coming decade (it most certainly will), it may create as many positions as it kills and open up vast new opportunities for collaborations between humans and machines.

A new smartphone tool developed for banana farmers scans plants for signs of five major diseases and one common pest. In testing in Colombia, the Democratic Republic of the Congo, India, Benin, China, and Uganda, the tool provided a 90 percent successful detection rate. This work is a step towards creating a satellite-powered, globally connected network to control disease and pest outbreaks, say the researchers who developed the technology. The findings were published this week in the journal Plant Methods. "Farmers around the world struggle to defend their crops from pests and diseases," said Michael Selvaraj, the lead author, who developed the tool with colleagues from Bioversity International in Africa.

Artificial intelligence-powered tools are rapidly becoming more accessible, including for people in the more remote corners of the globe. This is good news for smallholder farmers, who can use handheld technologies to run their farms more efficiently, linking them to markets, extension workers, satellite images, and climate information. The technology is also becoming a first line of defense against crop diseases and pests that can potentially destroy their harvests. A new smartphone tool developed for banana farmers scans plants for signs of five major diseases and one common pest. In testing in Colombia, the Democratic Republic of the Congo, India, Benin, China, and Uganda, the tool provided a 90 percent successful detection rate. This work is a step towards creating a satellite-powered, globally connected network to control disease and pest outbreaks, say the researchers who developed the technology.

Language identification ("LI") is the problem of determining the natural language that a document or part thereof is written in. Automatic LI has been extensively researched for over fifty years. Today, LI is a key part of many text processing pipelines, as text processing techniques generally assume that the language of the input text is known. Research in this area has recently been especially active. This article provides a brief history of LI research, and an extensive survey of the features and methods used in the LI literature. We describe the features and methods using a unified notation, to make the relationships between methods clearer. We discuss evaluation methods, applications of LI, as well as off-the-shelf LI systems that do not require training by the end user. Finally, we identify open issues, survey the work to date on each issue, and propose future directions for research in LI.

On a tower in the Brazilian rain forest, a sentinel scans the horizon for the first signs of fire. They don't blink or take breaks, and guided by artificial intelligence they can tell the difference between a dust cloud, an insect swarm and a plume of smoke that demands quick attention. In Brazil, the devices help keep mining giant Vale SA working, and protect trees for pulp and paper producer Suzano SA. In the future, it's a system that may be put to work in California, where deadly wildfires abound. The equipment includes optical and thermal cameras, as well as spectrometric systems that identify the chemical makeup of substances.

The app can detect Fusarium wilt, Xanthomonas wilt, bunchy top disease, black sigatoka, yellow sigatoka, and corm weevil. Fusarium Tropical race 4 fungus (TR4) has decimated banana plantations and smallholders' crops in Asia and Africa and has now spread to Latin America. Last week, Colombian officials officially confirmed the presence of TR4 in La Guajira province, declaring a state of national emergency as a result. Developed with support from Bioversity International and the International Center for Tropical Agriculture (CIAT), the AI-powered tool is built into an app called Tumaini – Swahili for'hope' – that allows farmers to take action quickly, thus preventing a widespread outbreak. The information is also uploaded to a global system that allows for large-scale monitoring.