For years Apple has responded to complaints about the functionality of Siri and as more virtual assistants have popped up from their rivals, users continue to grumble about the things it cannot do. That was one of the biggest takeaways from a study of iPhone X users conducted by Creative Strategies, Inc. Ben Bajarin, principal analyst and the head of primary research, said in the report that iPhone X owners gave the product "an overall 97% customer satisfaction. While that number is impressive, what really stands out when you do customer satisfaction studies is the percentage who say they are very satisfied with the product," Bajarin wrote. In terms of the survey respondents who met that "very satisfied" mark, the report found it to be about 85% of iPhone X owners. SEE: IT leader's guide to the future of artificial intelligence (Tech Pro Research) But when the report authors broke it down by specific features, Siri stood out as one of the only things users were not happy with.

With just a few clicks it's possible to delve into the history of your Google Assistant to see all the commands you've issued, the replies it's given, and hear audio recordings of exactly what it heard. Here's how to do it. Via the Google Home app: Open Google Home and click on the hamburger icon (the three horizontal lines in the top left). In the drop-down list, click on "My Activity" and you'll soon see a list of all the interactions you've had with Google Assistant. Click on the plus button under the search bar and choose the filter for Google Assistant.

If we were to go through the sales numbers of the last 18 months, it is fairly evident that there is an insatiable appetite for voice devices in the global market. The use of these digital voice assistants and conversational AI coupled with the advancements in AI and the overall underlying technology shows that voice first devices are poised to transform commerce and marketing within every industry. It truly is surprising how technology is so dynamically transforming one sector after another with revolutionary innovations. After the early rattle of IoT (Internet of Things), AR (Augmented Reality), VR (Virtual Reality) and Cloud computing, now we have the digital voice assistant technology to look forward to. However, the concept of voice-based services extends far beyond just personalized assistance to touch the banking sector at large.

Have you ever shopped online for a mattress? Then you know the drill. For weeks after you made a decision, and perhaps even after you took delivery, you still see ads following you around the internet, promoting this mattress manufacturer or that. You think, "if this is a sample of artificial intelligence, then where's the intelligence?" AI and efforts to make digital services more personalized remain "a fairly blunt instrument," says Alan McIntyre, senior managing director, Accenture Global Banking, in an interview with Banking Exchange.

Four research teams at the University of Michigan will explore the intersection of music and data science thanks to the support of the Michigan Institute for Data Science's (MIDAS) Data Science for Music Challenge Initiative. The challenge asked participants to propose research projects that applied data science tools such as data mining or machine learning to the study of areas such as music theory, the connection between music and words, performance and more. Possible areas of research suggested by the challenge's coordinators include algorithms and computer composition, big data-based instrument deign, music education method analysis, collaborative music making and music recommendation systems, among others. "MIDAS is excited to catalyze innovative, interdisciplinary research at the intersection of data science and music," said Alfred Hero, co-director of MIDAS and the John H. Holland Distinguished University Professor of Electrical Engineering and Computer Science, in a prepared statement. "The four proposals selected will apply and demonstrate some of the most powerful state-of-the-art machine learning and data mining methods to empirical music theory, automated musical accompaniment of text and data-driven analysis of music performance."

Whether you're listening to the newest installment of a daily podcast you're subscribed to or binging the latest true crime series, being able to pause a podcast on one device and pick it back up on another is a useful feature. And according to Pacific Content, it's a feature that Google offers right now. If you start an episode on your Android phone, for example, you can finish it with your Google Home, and Zack Reneau-Wedeen, Google's podcasts product manager, says this "device interoperability" will eventually expand to everything on which you use Google. We asked Google about the feature and were told that it's "not new" but it's unclear how long the ability has been around. Though Apple launched its podcast app in 2012, Google still doesn't have a dedicated app for podcasts.

The EU has launched a formal investigation into Apple's proposed acquisition of UK music-recognition app Shazam. The European commission announced its in-depth investigation into the deal over concerns that it would harm consumer choice and give Apple an unfair advantage through access to user data, which could aid in poaching customers from rivals. Shazam has been downloaded 1bn times and is used 20m times a day. It is the world's leading music recognition system, able to listen to and identify tracks via a smartphone and then link those tracks to multiple music subscription services, which means it could therefore hold commercially sensitive data on Apple's competitors and their consumers. Noting that Apple Music has become the second-largest music streaming service in Europe, the EC said: "Access to such data could allow Apple to directly target its competitors' customers and encourage them to switch to Apple Music. As a result, competing music streaming services could be put at a competitive disadvantage."

Artificial intelligence (AI) is quickly becoming a phenomenon in daily life -- whether it's staying organized with virtual assistants like Siri and Alexa, relying on Waze and Google Maps for the fastest commute time to work or tagging photos with Facebook's facial recognition technology. However, AI is driving equally powerful innovation in other ways that may not seem as familiar to average consumers and yet are dramatically improving the experience they have with their mobile devices. That's because one of the earliest and most ardent adopters of AI is the enterprise information technology (IT) operations that manage the networks you and I need to access. For them, AI is rapidly becoming a critical component to provide better visibility into the network environment, reduce costs, simplify operations and fix problems faster. Gartner predicts that by 2020, AI will be one of the five most important investment priorities for more than 30% of chief information officers (CIOs).

Daniel Ek is a Swedish entrepreneur and a technologist who started the music streaming service Spotify. Just three weeks after it went public, Spotify plans to host an event for the press in New York Tuesday morning, where we'll likely get the first clues to where the music streaming service goes from here. The Swedish company didn't reveal much in its press invitation, other to say that we'd hear what's next for the company's mobile app. That doesn't necessarily rule out a new hardware announcement from Spotify, though it is hard to predict what that product or products could be. One logical guess might be a smart, voice-driven speaker, a market currently dominated by Amazon's Echo speakers with Alexa, and that also includes various Google Homes and the Apple HomePod.

It's clear: Artificial intelligence has transformed the way we live. According to PwC, 55 percent of consumers would prefer to receive new media recommendations from AI -- a development that illuminates how much we've integrated the technology into our lives. Google, Amazon, and Microsoft are just a few of the obvious innovators embracing bot-powered business functions, but others are also taking notice. Artificial intelligence's ability to synthesize and analyze data can easily improve business operations for many industries, including hospitality, restaurants, and travel. Such markets experience success when they revise their customer experience or marketing strategies with machine learning and chatbots.