You are at a bar and a friend of yours takes a selfie that includes you in the picture. Turns out you've had a bit to drink and it's not the most flattering of pictures. In fact, you look totally plastered. You are so hammered that you don't even realize that your friend is taking the selfie and the next morning you don't even remember there was a snapshot taken of the night's efforts. About three days later, after becoming fully sober, you happen to look at the social media posts of your friend, and lo-and-behold there's the picture, posted for her friends to see. In a semi-panic, you contact your friend and plead with the friend to remove the picture. The friend agrees to do so. Meanwhile, turns out that the friends of that person happened to capture the picture, and many of them thought it was so funny that they re-posted it in other venues. You look so ridiculous that it has gone viral. Some have even cut out just you from the picture and then made memes of you that are hilarious, and have spread like wildfire on social media.

Artificial intelligence allows us to program our lives on command, while offering the promise of solving some of the world's most challenging problems. But countries around the world, including Australia, are grappling with how to build ethical frameworks around AI.

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.

Traffic accidents are extremely common. If you live in a sprawling metropolis like I do, chances are that you've heard about, witnessed, or even involved in one. Because of their frequency, traffic accidents are a major cause of death globally, cutting short millions of lives per year. Therefore, a system that can predict the occurrence of traffic accidents or accident-prone areas can potentially save lives. Although difficult, traffic accident prediction is not impossible.

Victor Thu is the General Manager of Neurobots at Petuum, partnering closely with Bin Zhao, to build easy-to-use cutting-edge AI/ML solutions that integrate seamlessly into RPA as IPA (intelligent process automation). Before Petuum, Victor led marketing and product marketing for Digitate, a startup that focuses on solving IT operational challenges using AI and automation. As an industry technologist, Victor held different roles leading go-to-market strategies for innovative technologies, including the converged desktop, mobility, and identity solutions at VMware. Victor was an industry subject matter expert on business and workforce mobility with topics such as BYOD (Bring Your Own Devices). Victor also spent over three years in the Asia Pacific region, leading end-user computing product marketing for VMware and Citrix across the region.

In a matter of seconds, hiring managers determine competence of candidates based on their speech ... [ ] patterns. Undeniably, the first few minutes of an interview are critical when it comes to making a positive first impression. A study by the Journal of Occupational and Organizational Psychology found 60% of interviewers know within the first 15 minutes if the candidate they're interviewing is suitable for the role. If that's not alarming, recent research says nearly 30% of interviewers have made up their mind within the first five minutes of meeting a candidate. These snap decisions are heavily influenced by unconscious bias resulting in unequal treatment for job applicants.

Today, companies of all sizes, from all industries are embarking on their digital transformation journeys. The evolving digital landscape provides endless opportunities for organizations to improve their efficiency, productivity, and performance levels through new processes and innovations. A large part of many digital transformation journeys for most organizations involves making the transition from on-premise and legacy systems into the cloud. This doesn't necessarily mean moving data storage and communications into the cloud but exploring the benefits of a cloud-hosted call center too. According to DMG Consulting, 62% of organizations have already moved into a cloud-based call center, and the numbers continue to grow.

Some people think that Artificial Intelligence (AI) is nothing more than a buzzword, but in reality (not artificially!) the use of AI is increasing all around the World in many areas – and none more so than the e-commerce sector. Retail in e-commerce is continuously growing at an impressive rate globally, with total sales values more-or-less doubling from $1.4bn to $2.8bn from 2014 to 2018, according to Statista. At the same time as sales are increasing, the use of AI is on the rise too: Gartner predicts that 25% of customer service operations will be using virtual customer assistants by 2020, whilst Servion Global Solutions say that AI will power 95% of all customer interactions, including live telephone and online conversations, by 2025. Find out where different corporations are incorporating AI and machine learning into the everyday running of their businesses. The North Face is a large e-commerce retailer in the clothing and outerwear industry and they are a great first example of a company using AI to help them better understand their customers' wants, needs and buying habits.

For private companies and government agencies trying to track peoples' movements, technology is making the task increasingly easy. Facial recognition and analysis are becoming increasingly popular surveillance tools – the technology was rolled out in airports across the world this summer as a tool for verifying flyers' identity, and is widely used by police departments for tracking suspected criminals. Privacy-minded activists and lawmakers are now hitting back at facial recognition. The technology has been banned for law-enforcement purposes across California, and a similar bill is being weighed in Massachusetts. Meanwhile, artists and researchers have begun to develop clothes designed to thwart algorithms that detect human faces.

Marketers strive to personalize emails in the quest for relevance. This is not new to seasoned marketers, who have been using marketing automation platforms to create customer journeys or leveraging segmentation and/or personas. This is a good usage of data and tools, but it simply can't scale beyond a certain point. In our experience, most clients have around 20–25 data segments. For relatively large user bases, too many journeys and segmentation could potentially ruin the user experience, and complex rules make it hard to maintain.