"Questions are asked and answered every day. Question answering (QA) technology aims to deliver the same facility online. It goes further than the more familiar search based on keywords (as in Google, Yahoo, and other search engines), in attempting to recognize what a question expresses and to respond with an actual answer. This simplifies things for users in two ways. First, questions do not often translate into a simple list of keywords. ...Second, QA takes responsibility for providing answers, rather than a searchable list of links to potentially relevant documents (web pages), highlighted by snippets of text that show how the query matched the documents."
– from Bonnie Webber & Nick Webb. Question Answering. In The Handbook of Computational Linguistics and Natural Language Processing. Alexander Clark, Chris Fox, Shalom Lappin (Eds.). Wiley, 2010.
The feature appears to work by asking the app to play an artist, album, song, genre or playlist. Hunter found it by pulling up Spotify's search screen. In the bottom right-hand corner, there was a microphone button. Hitting it brought up entirely new voice options. This venture makes sense, given Spotify's hardware ambitions.
Historically, building a system that can answer natural language questions about any image has been considered a very ambitious goal. So, how many players are in the image? Well, we can count them and see that there are eleven players, since we are smart enough not to count the referee, right? Although as humans we can normally perform this task without major inconveniences, the development of a system with these capabilities has always seemed closer to science fiction than to the current possibilities of Artificial Intelligence (AI). However, with the advent of Deep Learning (DL), we have witnessed enormous research progress in Visual Question Answering (VQA), in such a way that systems capable of answering these questions are emerging with promising results. In this article I will briefly go through some of the current datasets, approaches and evaluation metrics in VQA, and on how this challenging task can be applied to real life use cases.
Orange Bank has entered the banking market with Djingo, a virtual advisor powered by IBM's Watson. "The virtual advisor brings customers a unique experience allowing them to interact with their bank when and where they want," said André Coisne, CEO of Orange Bank. For the French, mobile banking is becoming the preferred mode of interaction with their bank. Today, nearly two out of three (63%) French people have downloaded their bank's app on their mobile, and almost half (47%) consult their app at least once a week*. Orange Bank offers a new quality of customer services through a virtual advisor called'Djingo', which is powered by IBM Watson delivered through IBM Services.
In 2015, 1.7 million voice-first devices were shipped across the U.S. But the number soon rose up to 6.5 million in 2016. The increase in the trend captured the growing demand for voice-search in the coming years. Voice-search technology has existed for many years but its evolution has just begun. From automated voice recognition phone system to simplified voice to text dictaphones, voice technology was adopted in different forms all across the globe.
The role of artificial intelligence in advertising is leaping from the experimental stage to something more commonplace, as all marketers want to reach "the right person, at the right time, at the right place with the right message." That was the impetus behind lawn care services chain TruGreen's expanded use of IBM Watson Advertising's AI tools to target specific customers with ads recommending specific offers related to local conditions. TruGreen boasts 2.3 million commercial and residential customers with 260 lawn care branches in the United States and Canada, plus about 35 franchise locations. To reach those people and businesses with a timely message about their individual lawn care needs, the IBM Watson ads takes in many factors that might come into play, such as weeds, thin grass, dryness, lack of growth, or grass discoloration. "At TruGreen, we are constantly looking for new and innovative ways to interact with consumers," said Kari Rajaniemi, Chief Marketing Officer, TruGreen.
"Orange Bank has entered the banking market with an innovative, new offer. Djingo powered by Watson is one of the bank's innovations. The virtual advisor brings our customers a unique experience allowing them to interact with their bank when and where they want," said André Coisne, CEO of Orange Bank. For the French, mobile banking is becoming the preferred mode of interaction with their bank. Today, nearly two out of three (63%) French people have downloaded their bank's app on their mobile, and almost half (47%) consult their app at least once a week*.