Dictate, a new project from Microsoft's experimental R&D group, Microsoft Garage, is launching today to offer a way to type using your voice in Office programs including Outlook, Word and PowerPoint. Available as an add-in for Microsoft's software, Dictate is powered by the same speech recognition technology that Cortana uses in order to convert your speech to text. An introductory video posted this morning to YouTube offers a preview of how the software works in Word, PowerPoint, and Outlook. It also at launch supports more than 20 languages for dictation, and can translate in real-time into 60 languages.
The promise of these assistants, ranging from Apple's Siri and Google's Assistant to the newcomer, Samsung's Bixby, is that someday we will each have our own personal, always-listening AI which can respond to any wish and command, like Tony Stark's Jarvis in the movie Iron Man. Let's take a closer look at today's AI-powered assistants, their strengths and weaknesses, current use cases, app integration, and how they play into the plans of the biggest companies in tech. These two advantages make Google's Assistant superior for what is now the most common use case for smart assistants: answering basic questions. Here's a chart from a recent Business Insider article that compares smart assistants' performance: The results are striking: Google Assistant much more accurate than Siri, answering questions correctly 90.6% of the time as compared with Siri's 62.2%.
In the past few years, there has been a lot of buzz surrounding artificial intelligence (AI) and machine learning (ML) in the news. From Google's self-driving cars to Apple's Siri to Netflix's movie recommendation engine to smart buildings to Nest thermostats, the list goes on of applications utilizing ML to automatically derive value from numerous input sources. But how do these use cases apply to more conservative, industrial industries like energy and utilities that are often seen as technology laggards?
Eurekahedge, a hedge fund data base, said it monitored 23 hedge funds that rely on A.I. In March this year Blackrock, the world's biggest asset manager, said it was relying more on computers to pick stocks. Mr. Ferrucci previously led IBM's development of the Watson computer, a question answering computer system capable of answering questions in a natural language.
Don't judge a smart speaker by its sales -- at least that's the story floating around the internet today, as Ad Age has revealed a study showing that Google Home is six times likelier than Amazon Alexa to answer user requests correctly. The research, conducted by New York-based digital agency 360i, backs the search company's voice assistant, despite consumers clearly choosing Amazon's option instead. Using proprietary software to ask both Google Home and Amazon Alexa some 3,000 questions, Google's voice assistant emerged six times likelier than the competition to answer correctly. But that same command on the Amazon Echo wouldn't work, as Alexa requires different command sets that require specific trigger words.
Artificial intelligence helps create your own personal assistant in the job search. Wendy is the company's AI hiring assistant. Newton is another AI assistant that helps job-seekers find employment. If you're looking for a new job or wondering about advancing your career, perhaps you should consider a personal job search assistant.
With products like the Amazon Echo and the upcoming Apple HomePod, the burgeoning home assistant market has seen a lot of moves recently. A recent survey from Edison Research and NPR indicated 42 percent of smart speaker owners have more than one home speaker. The report also includes other encouraging signs for smart speaker manufacturers: 70 percent of owners said they are listening to more audio at home and 65 percent of polled users said they wouldn't want to go back to not having a speaker in their homes. Tom Webster, Edison Research vice president of strategy, said the survey reflected the growth of the smart home assistant market in recent years.
Gartner predicts that, "By 2019, artificial intelligence platform services will cannibalize revenues for 30% of market-leading companies" and "By 2019, more than 10% of IT hires in customer service will mostly write scripts for bot interactions." There aren't many project management tools with AI--it's an industry that has been slow to adopt the umbrella of machine learning and artificial intelligence. Robots and artificial intelligence may automate the tedious tasks that consume a small part of a project manager's time, such as taking information from multiple sources and putting together nice PowerPoint decks, or normalizing project data from incompatible systems. Some even go as far to say that AI will help project managers manage their team management skills.