Artificial intelligence is a branch of computer science dealing with the simulation of intelligent behavior in computers or the capability of a machine to imitate intelligent human behavior. Despite its nascent nature, the ubiquity of AI applications is already transforming everyday life for the better. Whether discussing smart assistants like Apple's Siri or Amazon's Alexa, applications for better customer service or the ability to utilize big data insights to streamline and enhance operations, AI is quickly becoming an essential tool of modern life and business. In fact, according to statistics from Adobe, only 15 percent of enterprises are using AI as of today, but 31 percent are expected to add it over the coming 12 months, and the share of jobs requiring AI has increased by 450 percent since 2013. Leveraging clues from their environment, artificially intelligent systems are programmed by humans to solve problems, assess risks, make predictions and take actions based on input data.

In the 21st century, industries that remain adamant to integrating new technological revolutions are most likely to regress in their course of development. Businesses across the globe have realized how important it is to include contemporary digital technology to drive constant growth and revenue. The last decade has seen incredible innovations and breakthroughs in the landscape of digital solutions. One of such compelling technologies is called Artificial Intelligence (AI). Often misconceived as a replacement for human power, the concept of AI as a technological aid is much larger, wider and pervasive.

The aviation business, particularly the commercial aviation division, is continually endeavoring to improve both the manner in which it works and its consumer loyalty. Keeping that in mind, it has started utilizing artificial intelligence. In spite of the fact that AI in the aviation business is still in the beginning stage, some advancement has been made as of now as certain leading carriers put resources into AI. To begin with, certain use cases are being actualized, for example, facial recognition, baggage check-in, client inquiries and replies, airship fuel enhancement and factory tasks improvement. Be that as it may, AI can conceivably go a long way past the present use cases.

No matter where in the country you live, chances are you get hit with severe weather every once in a while. In New England, it's nasty Nor'Easters and blizzards, while tornadoes are a greater threat in the Midwest and South. Plus, just about everyone is subject to heavy rainfall and thunderstorms from time to time. When severe weather is headed in your direction, you're generally forced to hunker down at home (unless you're supposed to evacuate, in which case, please do so). As long as your electricity and internet are still working, though, your Amazon Echo can help you weather the storm!

The number of companies using artificial intelligence in healthcare has increased from less than 20 in 2012 to 100 last year, according to GlobalData Healthcare estimates. Growth is expected to accelerate with the AI healthcare market set to reach $6.6bn by 2021, a 40 percent growth from its current size, research from Accenture shows. The three most cost-saving uses of AI in healthcare are robot assisted surgery, virtual nursing assistants, and administrative workflow assistance, Accenture has found. Although healthcare AI is widely used in the US, take up has been slower in the UK though healthcare apps are gaining traction. Babylon is an AI app which uses speech recognition to check symptoms and connect patients with doctors while MedyMatch helps A&E departments make better decisions under extreme pressure.

The bot solution gives Predictive Analytics, NLP, and Unified Architecture. It turns the necessary channels into intelligent assistants that make personalized service and real work possible. An employee tries to open an application and notices that it is not working. He checks if there were any exceptions in the previous two days and finds that there were many exceptions. It takes him a few hours to determine the exceptions and categorize them.

Apple has apologised for allowing contractors to listen to voice recordings of Siri users in order to grade them. The company made the announcement after it completed a review of the grading programme, which had been triggered by a Guardian report revealing its existence. According to multiple former graders, accidental activations were regularly sent for review, having recorded confidential information, illegal acts, and even Siri users having sex. "As a result of our review, we realise we have not been fully living up to our high ideals, and for that we apologise," Apple said in an unsigned statement posted to its website. "As we previously announced, we halted the Siri grading program. We plan to resume later this fall when software updates are released to our users."

The concept of self-programming computers was closer to science fiction than reality just ten years ago. Today, we feel comfortable conversing with smart personal assistant like Siri and keep wondering just how Spotify guessed what we like. It's not just the mobile apps that are becoming more "intelligent". Advertising encouraging us to interact and install those apps has made its way onto a way new quality level as well. Thanks to advances in machine learning (ML), the baseline technology for AI, mobile advertising industry is now undergoing significant transformation.

How customers engage with brands and the way they shop is now a new ballgame altogether. Digital engagement with products is quickly replacing the traditional approaches; in fact, it has set new standards to keep up with customer expectations. According to the Global Consumer Insights Survey 2019 by PWC, nearly a third of consumers buy products online weekly or more frequently, and this number has increased steadily by 5% points year on year. Marketing and selling products with trusted and persuasive product data has a significant impact on improving customer experience and growing revenue. Brands are investing more and more in enhancing quality, reliability, and accessibility of product data to stay one step ahead in the digital business arms race. Customers can initiate their product research anywhere and analyze the prices/offers before they ever interact with the brand.

The relationship between humans and robots is a tricky thing. If the latter looks too much like the former, but is still clearly a machine, people think it's creepy, even repulsive--a feeling that's become known as the "uncanny valley." Or, as is sometimes the case, the human, with "Star Wars" or "The Jetsons" as his or her reference points, is disappointed by all the things the robot can't yet do. Then, there is the matter of job insecurity--the fear of one day being replaced by a tireless, unflappable, unfailingly consistent device. Human-robot interactions can be even more complicated for one group in particular--older adults.