One goal of AI work in natural language is to enable communication between people and computers without resorting to memorization of complex commands and procedures. Automatic translation – enabling scientists, business people and just plain folks to interact easily with people around the world – is another goal. Both are just part of the broad field of AI and natural language, along with the cognitive science aspect of using computers to study how humans understand language.
Chinese tech giant Tencent's first attempt in AI healthcare was the Miying platform, which has been a point of pride for CEO Huateng Ma since its 2017 launch. Supported by AI-powered medical imaging technologies, Miying assists doctors with the screening of esophageal cancer, pulmonary nodules, cervical cancer, etc. The platform has been well received in the AI and medical communities, with a fast-expanding market in Chinese top-tier AAA hospitals. At the recent International Congress of Parkinson's Disease and Movement Disorders in Hong Kong, Tencent unveiled its second layout in AI healthcare: Medical AI Lab. The lab team includes experts in machine learning, computational vision, video analytics, augmented reality (AR), natural language understanding (NLU), etc. Tencent Medical AI Lab is the latest in the company's continuing efforts on AI to Business marketing.
Artificial Intelligence (AI) has made the transition from once being a glorious manifestation of sci-fi imagination to today emerging as a technological reality capable of disrupting industries. In an increasingly hypercompetitive business environment, the marketing function is no exception to the application of AI. In fact, in a recent PwC study, 72% of the marketers interviewed, consider AI as a "business advantage". When actionable data is considered the fulcrum for growth, the modern marketer barely utilises 5% of the customer-centric data -- that often exists in straitjacketed silos -- at his disposal. This is where Artificial Intelligence Marketing comes into the picture.
Innovation is changing at lightning speed. In the period of digitalization, the significance of regular business capacities and devices, for example, telesales, technical support, and informative sites are reducing in numbers. Numerous retailers' survival is in question because of digitalization. This period of digitalization has come up with the concept of chat commerce (conversational commerce) where bots associate with end clients to drive business utilizing sound and content. Bots have gotten the pace as a digitalized phase and it will keep on modifying the advanced retail market.
Amazon on Thursday introduced a new API that will let providers of home security systems offer voice controls on their devices via Alexa. With the Security Panel Controller API implemented on a security system, users can arm, disarm, and query their systems by asking Alexa. Security system providers such as ADT, Ring, Honeywell Home, abode, and Scout Alarm are already using the API in their offerings, Amazon said. More broadly, the API fits into Amazon's push into the home security market, as well as its Alexa Everywhere mantra. Earlier this year Amazon dropped over $1 billion to buy Ring, a company best known for its video doorbell.
Electronic health record systems for large, integrated healthcare delivery networks today are often viewed as monolithic, inflexible, difficult to use and costly to configure. They are almost always obtained from commercial vendors and require considerable time, money, and consulting assistance to implement, support and optimize. The most popular systems are often built around older underlying technologies, and it often shows in their ease of use. Many healthcare providers (including the surgeon and author Atul Gawande) find these systems complex and difficult to navigate, and it is rare that the EHR system is a good fit with their preferred care delivery processes. As delivery networks grow and deploy broad enterprise EHR platforms, the challenge of making them help rather than hinder clinicians is increasing.
Google Assistant hasn't been traveling, but it has picked up some new accents. The voice assistant now has the ability to speak in an Australian or English accent (though Google calls it British). The feature is available across all devices including Android phones and Google Home speakers, but only for English speakers in the US for the time being. In order to produce the accents in an accurate way, Google is tapping into the artificial intelligence of DeepMind. Google Assistant uses WaveNet, the AI company's speech synthesis model powered by deep neural networks, to generate natural sounding voices.
Now you can get your Google Assistant device to say "g'day." The voice assistant features two new voices for English speakers in the U.S., with the introduction of being able to choose an Australian or British accent. SEE ALSO: Google Home's best feature just got way more useful You can access these accent in your Google Assistant settings, by selecting "Assistant Voice" in the menu. From there, select either "Sydney Harbour Blue" for the Australian voice, or "British Racing Green" for the British iteration. In case you didn't notice, these are the same accents which have been available on Google Assistant in the Australian and UK markets.
Surface Headphones are Microsoft's high-price, premium noise-cancelling cans aimed squarely at toppling the current kings, Bose and Sony. Headphones seem like an odd choice for the Xbox, Office and Windows maker, but the are being produced by Microsoft's burgeoning consumer electronics arm responsible for its line of Surface computers and accessories. Microsoft has aimed right for the top of the tree in terms of wireless, noise cancelling headphones. The fit and finish of the Surface Headphones is every bit as good as Bose. The large, soft round ear cups encapsulate my ears with their oval openings, while the angle of the band and hinge points give plenty of flexibility, avoiding any obvious pressure points.
Do you want to learn how you can accelerate your AI strategy or get ahead of the latest AI trends? Or are you more curious to learn what results businesses are achieving by adopting AI? Either way, make sure you attend Think 2019 and experience Watson AI technology first-hand. Here's a sneak peek at five sessions you can't miss: Being able to explain the decisions your AI makes and have trust in them is crucial to accelerating adoption of AI in your business. In these sessions, you'll learn how AI OpenScale provides businesses with confidence in AI decisions and infuses AI throughout its full lifecycle with trust and transparency, explains outcomes, and automatically mitigates bias. However, there are still a variety of hurdles businesses need to overcome to scale and automate their AI.