Emotional intelligence is an essential skill in the customer service functions with the productivity and efficiency of the role is directly tied to the quality of conversations. The personal dynamics of emotionally cognisant customer service agents play an important role in empathetically resolving any queries or concerns, impacting customer churn and increasing brand loyalty by leaving customers with a positive impression of an organisation. However, rapid adoption of automation technology within customer-facing roles presents new challenges to organisations that want to harness its benefits, without impacting the service that it delivers to its customers. Already helping many companies increase customer service availability, reduce wait times and improve resolution rates, Gartner has predicted that a quarter of all customer service operations will use artificial intelligence (AI)-powered virtual assistants by 2020. In many organisations, this has resulted in the creation of a hybrid workforce of human and digital agents.

With Siri set to see significant improvements once iOS 13 ships, Apple is appearing at a key voice AI tradeshow and has published a study explaining some of the details of a first-of-its-kind machine learning (ML) tech it calls "Overton." This week, Apple is sponsoring the world's largest spoken language processing conference, Interspeech 2019. As part of its work at the event, it has submitted multiple research papers – and members of its growing machine learning teams will meet attendees there. Among other topics (see them all here), Apple will present papers on detecting expression/intent through voice, improving voice recognition, developing more accurate tools to understand speech nuances, using mirroring to build relationships between human users and speech assistants and using tech to optimize speech enhancement. We may learn a little more about what the company is up to in ML at the all-new Interspeech Youtube portal, though we don't know if any Apple video will appear there.

FaceCake is the only Augmented Reality and Artificial Intelligence full shopping platform. At its core, FaceCake offers the most immersive online to offline technology-driven consumer shopping experience available, seamlessly enabling consumers to virtually Try-On products instantly with aesthetically stunning AR Try-On as if looking in a mirror, and delivering highly personalized recommendations while concurrently building the most in-depth shopper-initiated data profiles in the industry. Consumers can shop, try, share and buy seamlessly through FaceCake's "mass boutique" AR/AI platform in any category (apparel, beauty, eyewear, jewellery, accessories, home, and more) via mobile, web, In-Store, or even in personalized advertising. Use of FaceCake's platform leads to an increase in conversions, basket size, and reduced returns. FaceCake was built with a simple principle in mind – to make shopping easier, more personalized and accessible.

FaceCake is the only Augmented Reality and Artificial Intelligence full shopping platform. At its core, FaceCake offers the most immersive online to offline technology-driven consumer shopping experience available, seamlessly enabling consumers to virtually Try-On products instantly with aesthetically stunning AR Try-On as if looking in a mirror, and delivering highly personalized recommendations while concurrently building the most in-depth shopper-initiated data profiles in the industry. Consumers can shop, try, share and buy seamlessly through FaceCake's "mass boutique" AR/AI platform in any category (apparel, beauty, eyewear, jewellery, accessories, home, and more) via mobile, web, In-Store, or even in personalized advertising. Use of FaceCake's platform leads to an increase in conversions, basket size, and reduced returns. FaceCake was built with a simple principle in mind – to make shopping easier, more personalized and accessible.

AI is set to be a game-changer for businesses across every industry. Artificial intelligence is undoubtedly changing the way companies address and interact with their customers. Pluq, the increasing adoption of digital language assistants such as Alexa and Co., Siri and Amazon Echo, in private households is leading-edge. A new study by Bitkom and Deloitte on the future of consumer technology showed that, in addition to 13%, who already had an intelligent virtual assistantin 2018, 4% of those surveyed are planning a purchase a voice assistant in 2019 and 27% can imagine controlling devices by voice in the future. The fact that, according to Gartner, 30% of companies will use AI for at least one key sales process in 2020, which encourages AI adaptation.

Without the software that powers them, iPhones and Android phones would be high-priced pieces of glass, metal and plastic. So let's see how the new mobile OSes from Apple and Google compare. On one side of the table, iOS 13 includes a systemwide dark mode, more control over privacy settings and a bushel of improvements designed to make the iPhone more secure and easier to use. On the other side, Google's Android 10 also brings on dark mode, a focus on privacy and useful AI enhancements. With the iPhone 11, 11 Pro and 11 Max Pro just announced, we'll soon see this the new iOS software absorbed into hardware.

Data quality rules are the hidden champions of data cleansing tools – these help improve the quality of the master data records in data quality tools. Based on different data quality dimensions, data stewards establish different quality rules to determine if a data set is of good or poor quality. Creating data quality rules can be very time consuming. An easy approach could be to adopt proven algorithms, which already work very well in the context of customer and vendor data within our data sharing community. Today, we would like to introduce one of our virtual employees to you: Our data quality rule number 1297;"DQR-1297", for short.

Artificial intelligence (AI) is here. The technology is already making an impact across many industries. According to IDC, worldwide spending on AI systems is forecast to reach $35.8 billion in 2019 -- a 44% increase over 2018. For any company that hasn't started its AI journey -- it's time to get started. That's because AI is shaking up the customer experience, bringing users and brands closer together than ever before.

While examples of artificial intelligence are numerous across business, AI is still often perceived to be a nascent, still emerging force. In fact, AI is widely deployed. It is critical to the tech platforms of many businesses, across finance and retail and healthcare and media. AI and deep learning examples are so myriad, in fact, that choosing the representative AI example below was a matter of picking among the excess. While the examples of AI below are very different from one another, they all share one common trait: the more data they are fed, the more they learn.

Have you ever been worried on a tour, if you've switched off a light bulb back home? We've all had this confusion at least once, for there was no way you could ensure that everything was perfect. Now, with AI, we don't need to leave anything to chance nor assumptions. AI provides perfect ways to ensure that use of appliances is optimized perfectly when in use and when not in use. Let's imagine some of the ways through which AI and Smart Home Automation will impact and change the way we live: Amazon's Alexa, Google Home, Apple's Siri and Microsoft's Cortana have all optimized and automated living inside a home to a great extent. You can ask Alexa to play a song, while you can also ask Alexa to switch off or switch on the lights in your home.