Google's Simon Balfe says we are now in a mobile-only world and at the dawn of the AI-first age of computing. Simon Balfe is agency development manager at Google Marketing Solutions in Dublin. We caught up with him at the recent Virgin Media Digital Evolution conference at the Titanic Belfast centre. 'There is that kind of fear factor initially; they think it's a massive problem that is only for really large organisations' – SIMON BALFE Summing up the digital age we are in, Balfe revealed that seven times more data is created daily today than in 2010. "More people are searching on Google via mobile than desktop." He said that this is leading to a corresponding revolution in people expecting services immediately for instant gratification.

We'll illustrate SVM using a two-class problem and begin with Typically, C is chosen using cross-validation2. Points at the margin's edge (black outlines) are called The margin is now 0.64 with six support vectors. AU: the title is long and a bit clunky. What do you think about deleting'supervised methods' from it?

Byron Reese: This is "Voices in AI" brought to you by Gigaom. Today, our guest is Bryan Catanzaro. He is the head of Applied AI Research at NVIDIA. He has a BS in computer science and Russian from BYU, an MS in electrical engineering from BYU, and a PhD in both electrical engineering and computer science from UC Berkeley. Welcome to the show, Bryan. It's great to be here. Let's start off with my favorite opening question. I like to think about artificial intelligence as making tools that can perform intellectual work. Hopefully, those are useful tools that can help people be more productive in the things that they need to do. There's a lot of different ways of thinking about artificial intelligence, and maybe the way that I'm talking about it is a little bit more narrow, but I think it's also a little bit more connected with why artificial intelligence is changing so many companies and so many things about the way that we do things in the world economy today is because it actually is a practical thing that helps people be more productive in their work. We've been able to create industrialized societies with a lot of mechanization that help people do physical work. Artificial intelligence is making tools that help people do intellectual work. I ask you what artificial intelligence is, and you said it's doing intellectual work. That's sort of using the word to define it, isn't it? Yeah, wow…I'm not a philosopher, so I actually don't have like a… Let me try a different tact. Is it artificial in the sense that it isn't really intelligent and it's just pretending to be, or is it really smart? Is it actually intelligent and we just call it artificial because we built it? I really liked this idea from Yuval Harari that I read a while back where he said there's the difference between intelligence and sentience, where intelligence is more about the capacity to do things and sentience is more about being self-aware and being able to reason in the way that human beings reason. My belief is that we're building increasingly intelligent systems that can perform what I would call intellectual work.

Affectiva, one in a series of companies to come out of MIT's Media Lab whose work revolves around affective computing, used to be best known for sensing emotion in videos. It recently expanded into emotion detection in audio with the Speech API for companies making robots and AI assistants. Affective computing, the use of machines to understand and respond to human emotion, has many practical uses. In addition to Affectiva, Media Lab nurtured Koko, a bot that detects words used on chat apps like Kik to recognize people who need emotional support, and Cogito, whose AI is used by the U.S. Department of Veteran Affairs to analyze the voices of military veterans with PTSD to determine if they need immediate help. Then there's Jibo, a home robot that mimics human emotion on its five-inch LED face that Time magazine recently declared one of the best inventions of 2017. Instead of natural language processing, the Speech API private beta uses voice to recognize things like laughing, anger, and various forms of arousal, alongside voice volume, tone, speed, and pauses.

Byron Reese: This is "Voices in AI", brought to you by Gigaom. Today our guest is Gregory Piatetsky. Twenty years ago, he founded and continues to operate a site called KDnuggets about knowledge discovery. It's dedicated to the various topics he's interested in. Many people think it's a must-read resource. It has over 400,000 regular monthly readers. He holds an MS and a PhD in computer science from NYU. Gregory Piatetsky: Thank you, Byron. Glad to be with you. I always like to start off with definitions, because in a way we're in such a nascent field in the grand scheme of things that people don't necessarily start off agreeing on what terms mean. How do you define artificial intelligence? Artificial intelligence is really machines doing things that people think require intelligence, and by that definition the goalposts of artificial intelligence are constantly moving. It was considered very intelligent to play checkers back in the 1950s, then there was a program. The next boundary was playing chess, and then computers mastered it.

Please welcome our weekly sponsor mabl to Hacker Noon! mabl automates functional tests, was founded by 2 ex-Googlers, and has spent the year in private beta. Today, we're going to catch up on the state of this startup -- and find out what makes Co-Founder & CEO Dan Belcher do what he does. Also read the other half of this interview, The Entrepreneurial Journey of mabl Co-Founder Dan Belcher. David Smooke: Why must your company exist now? Dan Belcher: mabl exists now because the pace of software development has increased dramatically over the last ten years, to the point where many teams can develop meaningful changes every day, but QA can't keep up, so you either have to slow down or sacrifice testing and quality.

You've perfected your CV, got great experience under your belt, maybe a PhD and can wrangle data amongst the finest but just how prepared are you for your next interview? Just the thought of the face-to-face interview stage is enough to strike fear into the bravest of us. Here are a few things to keep in mind and stave off the sweaty palm syndrome. How well do you know yourself? First things first, prepare to be an expert in YOU.

Imagine a world where talent acquisition professionals don't have to spend hours sifting through resumes or LinkedIn profiles. A world where they can instead focus on marketing the position to a smaller pool of qualified candidates, properly assessing their fit during the interview process and ultimately cutting the time to hire by a significant amount. This is the world of artificial intelligence. As a recent Wired article points out, "the world's biggest tech companies are aggressively remaking themselves around artificial intelligence," which is why companies like Microsoft, Twitter, Amazon, and Facebook are investing heavily in it. But before we dive in too deep, let's outline the basics of this digital phenomenon.

Fourth industrial revolution technologies such as artificial intelligence (AI) and the Internet of Things (IoT) will not only force marketers to be more scientific, they'll also require them to think beyond their function and to next best actions for customers across an organisation. That's the view of Salesforce global chief marketing officer, Simon Mulcahy, who caught up with CMO during the recent Dreamforce conference in San Francisco to discuss the key product and industry messages from the event, and the growing importance of customer advocacy as a strategy. There's no doubt AI and IoT are going to be massive game changers, opening up more data sets and actions in real time and enabling the next level of personalisation, Mulcahy said. "And it will force marketers to be even more scientific," he said. "The best way I've found of internalising this is to stop thinking of it in raw terms of marketing. How you know when a customer needs the next touchpoint from you as a company? And what are you packaging up and delivering to them? "That IoT data is going to trigger the next best action.

This year, whiz kid Ke Jie, the world champion of Chinese national pastime GO, was soundly defeated by a computer powered by Artificial Intelligence. Jie described it as a "horrible experience," but it highlighted the tremendous potential AI has in fields such as gaming – and far beyond. One such field is medicine and healthcare, where we are beginning to reap the benefits of technology that has the potential to impact billions of lives around the world. Here are five health-related industries poised to be revolutionized by Artificial Intelligence in 2018. For doctors, analyzing a patient's records – many of which are still handwritten – often involves the time-consuming task of going through a lifetime's history of notes, lab results and prescriptions. IBM, along with the Cleveland Clinic Lerner College of Medicine, aims to turn this problem into an advantage with the creation of Watson Paths, which utilizes AI to establish more natural interaction between physicians, data and medical records to provide quicker and more accurate diagnoses.