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Artificial Intelligence Market Worth 190.61 Billion USD by 2025

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According to the latest market research report "Artificial Intelligence Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision), End-User Industry, and Geography - Global Forecast to 2025", published by MarketsandMarkets, the market is expected to grow from USD 21.46 Billion in 2018 to USD 190.61 Billion by 2025, at a CAGR of 36.62% between 2018 and 2025. Major drivers for the market are growing big data, the increasing adoption of cloud-based applications and services, and increasing demand for intelligent virtual assistants. The major restraint for the market is the limited number of AI technology experts. 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.


Spotify's hardware ambitions seem like a risky distraction

Engadget

We can't be sure about what Spotify is actually trying to build in Stockholm, but its search for employees are in line with what you'd expect from a company trying to make a smart speaker. Last April, Spotify was looking for people with expertise in voice recognition and natural language processing. And more recently Spotify sought out someone with "graduate-level expertise" in natural language understanding to join its team in Boston and "multiple years of industrial experience in building conversational agents via speech or text (e.g., chatbots)." This focus on a spoken interface could apply to future, voice-controlled versions of the Spotify app, but it's not much of a stretch to think Spotify could be trying to build a Google Home or Sonos rival. Let's say for the sake of argument that's what's going on.


Google's digital assistant branches out to Nest camera

Boston Herald

Google's voice-activated assistant is branching out to Nest's deluxe security camera in an expansion that may amplify the privacy concerns surrounding internet-connected microphones. The virtual assistant is being offered to owners of the Nest Cam IQ in a free update rolling out Wednesday. The move comes just two weeks after Nest moved back under Google's direct control after spending nearly 2 1/2 years as a separate company owned by the same parent, Alphabet Inc. The $300 Nest Cam will give Google another potentially valuable earhole in its battle with Amazon and Apple to build digital command centers in people's home. That ambition has already spurred warnings from privacy watchdogs about the potential for internet-connected devices being used as surveillance tools.


Digital Tactics To Love

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According to a report by MDG Advertising, committing to specific digital tactics can be difficult for marketers. There are so many different approaches that it can be tempting to continuously search of something better. However, while there are quite a few bad matches, there also are some strategies and channels that are keepers, says the report. While search engines have been coy in the past about what they wanted, this year they've been transparent about one SEO approach that's sure to work: fast-loading mobile content. In fact, Google has openly stated that it's going to roll out changes to its algorithm in 2018 that incorporate mobile page speed as a ranking signal, says the report.


Nest adds Google Assistant to the indoor Cam IQ

Engadget

Once devices have received the update, they can perform the same tasks as any other tech with Google Assistant on board. It can perform basic Google searches, tell you about the temperature and weather, add appointments to your calendar and more. Users can also control other Nest devices in their home through the Nest Cam IQ. Nest is also tweaking its subscription service tiers. Now, subscribers to Nest Aware will have the option of a $5/month plan for five days of cloud storage.


Google's Digital Assistant Branches Out to Nest Camera

U.S. News

Google's assistant already can be used to control Nest's cameras and internet-connected thermostat through its internet-connected speaker, Home, and smartphones running on its Android software. This will be the first time that people will be able to interact with the digital concierge through a security camera.


You Can Now Talk to Your Nest Security Camera

TIME - Tech

If Google made one point at this year's CES conference, it was that it's putting the Google Assistant in all sorts of devices, from TVs to speakers, in an effort to oust Amazon's Alexa as the most important digital helper in your home. Now, the Google Assistant is coming to yet another home device: the Nest Cam IQ indoor security camera. Those who own the camera will have the option to add the Google Assistant via a software update starting Wednesday. Using the Google Assistant through the Nest Cam IQ indoor camera will be very similar to how one would use it through the Google Home or any other compatible device. Owners will be able to verbally ask their Nest camera for the weather, questions about their calendar, and to control smart home devices, among other queries.


Skelter Labs raises $9M to help put Korea on the global AI map

#artificialintelligence

China and the U.S. are the two countries most closely associated with artificial intelligence (AI) technology, but a startup in Korea is out to add its nation to mix after it raised more than $9 million from some big-name investors. Skelter Labs, which was founded in 2015 by Google's former chief technical officer in Korea, announced today that it has raised KRW 10 billion ($9.3 million). Korean internet and messaging giant Kakao is a major backer, investing in the round via both its'KakaoBrain' AI unit and its K-Cube VC firm, both of which are existing investors. Stonebridge Ventures and Lotte Homeshopping, the TV and internet shopping business owned by multi-billion dollar retail giant Lotte, also participated. Skelter Labs started out as an app development house when it was initially founded by CEO Ted Cho, the former engineering site director at Google Korea, with products that include a flight booking app, chatbot network and point-of-sale software, but, over the past year, it began to focus on AI.


Reports: Amazon Developing AI Chips To Go Head-To-Head With Apple, Google

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Amazon is once again throwing its hat into a new ring. The market heavyweight wants to start making its own artificial intelligence chips for its Echo speaker devices in an effort to better compete against Apple and Google, according to media reports. Amazon is starting to design custom AI hardware to power future Echo devices and improve the quality and response time of its "Alexa" voice-controlled personal assistant technology, according to a report first published by The Information. The move could help Amazon go head-to-head with rivals Apple and Google, which are already developing custom AI chips. Apple relies on custom-built chips from the likes of ARM for some of its smart devices but has also started developing its own chips for the iPhone.


Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making

arXiv.org Machine Learning

In multi-objective decision planning and learning, much attention is paid to producing optimal solution sets that contain an optimal policy for every possible user preference profile. We argue that the step that follows, i.e, determining which policy to execute by maximising the user's intrinsic utility function over this (possibly infinite) set, is under-studied. This paper aims to fill this gap. We build on previous work on Gaussian processes and pairwise comparisons for preference modelling, extend it to the multi-objective decision support scenario, and propose new ordered preference elicitation strategies based on ranking and clustering. Our main contribution is an in-depth evaluation of these strategies using computer and human-based experiments. We show that our proposed elicitation strategies outperform the currently used pairwise methods, and found that users prefer ranking most. Our experiments further show that utilising monotonicity information in GPs by using a linear prior mean at the start and virtual comparisons to the nadir and ideal points, increases performance. We demonstrate our decision support framework in a real-world study on traffic regulation, conducted with the city of Amsterdam.