Artificial intelligence and machine learning solutions have taken over the enterprise sector. Smart automation, intelligent business decisions, and recommendation engines have changed the way companies do business today. Companies that have adopted artificial intelligence (AI) and machine learning (ML) in their operations have seen great success. Apart from freeing up human labor from mundane tasks and automating repetitive ones, AI has fundamentally changed the way some companies operate. Let's look at some companies that were highly successful in adopting AI. Why Is AI Adoption on the Rise?

YouTube Music is getting a pair of small but helpful updates today: full support for Siri, and support for being installed as a desktop web app. If you're on an iOS device, you'll now be able to ask Siri to play songs straight from YouTube Music. For the longest time, Siri only supported Apple's own music sources. But in iOS 13, Apple added the ability for Siri to tap into third-party apps with a long-overdue update. Spotify added support for this feature earlier this month, and now YouTube is following suit with support from its own music streaming service. Today's other new feature, desktop web app support, means you can now have a standalone YouTube Music app on your computer, instead of having to visit the site in your browser.

Since 2008, HGTV has built--and given away--12 brand new houses outfitted with the latest smart home products. Located in Roanoke, Texas, a 33-mile drive from Dallas, the 2019 HGTV Smart Home is valued at over $1.2 million. Step inside of the Old World oasis, and the home you'll find is anything but archaic. The impressive smart home is loaded with dimmers, switches, light bulbs, shower systems, toilets, and more--all of which can be controlled by voice, tablet, or smartphone. Although a winner for the latest HGTV Smart Home has already been selected, there's no reason you can't create your own "smart home" with the help of the right products.

Apple CEO Steve Jobs unveils the iPad on January 27, 2010, in San Francisco. When I hustled out of CNET headquarters in San Francisco on May 26, 2010, and slipped into a rental car with two of my co-workers to head to a meeting across the Bay, one of them slipped me a copy of The Wall Street Journal and pointed to a headline that announced Apple had passed Microsoft to become the world's most valuable tech company. "What do you think of that?" she said. "Unreal," I responded, shaking my head. Just over a decade earlier, Apple had nearly been on its deathbed and needed a $150 million investment from Microsoft simply to stay alive. But then the iPhone arrived in 2007, and Apple rewrote the playbook on the mobile revolution.

Banks have begun to use AI to leverage their customer data to drive engagement and increase loyalty through hyper-personalized experiences. These types of tailored offers are the future of marketing for all industries and this article explores what we can learn from banks' strategies, writes, Justine Melman, VP of Marketing and Communications, Flybits. Welcome to the 2019 edition of The Modern Content Marketer's Buyer Guide. About 10 years ago, marketers realized that content is a critical piece of their pie, and have since been working overtime to generate content to help win the prospect's attention. Imagine you're on a business trip and you've just touched down in a new city.

As part of Firebrand Talent's #Digitalks event series, Lisa Bouari, Executive Director at OutThought, recently spoke to audiences on the topic'AI Assistants: How to take your business to the next level'. The key areas Lisa focused on are detailed below. I'm not sure about you, but I wasn't surprised to hear the latest stats from Gartner suggesting that 25% of organisations will use Chatbots in their customer service by 2020. It's a large number when we consider the thousands of organisations that are yet to adopt this technology – but the take-up rate and activity in the marketplace would suggest we are well on our way. IBM states that 70% of consumers also prefer to message over calling, for customer support.

Fox News Flash top headlines for Oct. 29 are here. Check out what's clicking on Foxnews.com Apple has resumed the controversial practice of allowing humans to review Siri commands and dictation with the latest iPhone software update. After an investigative report, the California-based tech giant ended the practice in August. Although using humans to audit audio is common in Silicon Valley -- Amazon and Google have also taken flak for the practice -- seen by critics as undermining Apple's attempts to market itself as a guardian of privacy.

We are living in an era where messaging apps deal with all sorts of our daily activities, and in fact, these apps have already overtaken social networks as can be indicated in the BI Intelligence Report. In addition to this clear point, the consumption of messaging platforms is further expected to grow significantly in the coming years; hence this is a huge opportunity for different businesses to gain attention where people are actively engaged. In this age of instant gratification, consumers expect companies to respond to them quickly without any delay, and this, of course, requires a lot of time and effort for the company to hire and invest in their workforce. Thus, it's now the right time for any organization to think of new ways to stay connected with the end-user. Many organizations undergoing a digital transformation have already started harnessing the power of Artificial Intelligence in the form of AI-assisted Customer Support System, Talent Screening using AI-assisted interviews, etc.

User behavior data in recommender systems are driven by the complex interactions of many latent factors behind the users' decision making processes. The factors are highly entangled, and may range from high-level ones that govern user intentions, to low-level ones that characterize a user's preference when executing an intention. Learning representations that uncover and disentangle these latent factors can bring enhanced robustness, interpretability, and controllability. However, learning such disentangled representations from user behavior is challenging, and remains largely neglected by the existing literature. In this paper, we present the MACRo-mIcro Disentangled Variational Auto-Encoder (MacridVAE) for learning disentangled representations from user behavior. Our approach achieves macro disentanglement by inferring the high-level concepts associated with user intentions (e.g., to buy a shirt or a cellphone), while capturing the preference of a user regarding the different concepts separately. A micro-disentanglement regularizer, stemming from an information-theoretic interpretation of VAEs, then forces each dimension of the representations to independently reflect an isolated low-level factor (e.g., the size or the color of a shirt). Empirical results show that our approach can achieve substantial improvement over the state-of-the-art baselines. We further demonstrate that the learned representations are interpretable and controllable, which can potentially lead to a new paradigm for recommendation where users are given fine-grained control over targeted aspects of the recommendation lists.

NEW YORK – Apple is resuming the use of humans to review Siri commands and dictation with the latest iPhone software update. In August, Apple suspended the practice and apologized for the way it used people, rather than just machines, to review the audio. While common in the tech industry, the practice undermined Apple's attempts to position itself as a trusted steward of privacy. CEO Tim Cook repeatedly has declared the company's belief that "privacy is a fundamental human right," a phrase that cropped up again in Apple's apology. Now, Apple is giving consumers notice when installing the update, iOS 13.2.