Ad spend on digital medium is expected to grow to 600 billion this year and machine learning emerged as a key technology in transforming video advertising. An algorithm is designed to the data collected from machine learning and this gives smarter results. This information is also used to predict the future. Let us now know how machine learning is transforming video advertising. Machine learning algorithms are used to analyze the interest, purchasing preferences and demographics of the consumers.

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It's not enough to give customers what they want -- you have to give them what they didn't even realize they wanted. AI and machine learning helps you offer seamless experiences that speak to consumers, not just sell to them. Join this VB Live event to learn how to leverage AI to design relevant, trusted customer relationships. Banner blindness means digital ads go ignored more than 80 percent of the time, and millennials have taken it a step further, with 63 percent of millennials bringing ad-blocking software to cut them out of their lives completely. But regaining their attention doesn't mean getting louder in more places; it will take seamless experiences delivering relevance, information, entertainment, and the feeling that you're interested in more than their wallet.

That was how Google's boss, Sundar Pichai, began a presentation on Tuesday, at which his company unveiled a range of new hardware products. He believes that the key attraction of both the new Pixel smartphones and the Google Home smart speaker is the company's expertise in artificial intelligence as demonstrated by the Google Assistant. The search company believes that the vast amount of data it has collected over the years, coupled with its expertise in machine learning, will give it a head start in the coming AI battle. The company hopes that Google Assistant, a conversational chatbot or virtual PA, will soon be a key feature on all sorts of Android devices, not just those it makes itself. If Mr Pichai has his way, we will soon be shouting: "OK Google," to get all sorts of information and services.

The big, dumb, monotonous industrial robots found in many factories could soon be quite a bit smarter, thanks to the introduction of machine-learning skills that are moving out of research labs at a fast pace. Fanuc, one of the world's largest makers of industrial robots, announced that it will work with Nvidia, a Silicon Valley chipmaker that specializes in artificial intelligence, to add learning capabilities to its products. The deal is important because it shows how recent advances in AI are poised to overhaul the manufacturing industry. Today's industrial bots are typically programmed to do a single job very precisely and accurately. But each time a production run changes, the robots then need to be reprogrammed from scratch, which takes time and technical expertise.

In this latest University of Sydney'Open for Discussion' episode our host Dr Chris Neff speaks with Dr Michael Harre, lecturer in Complex Systems in the Faculty of Engineering and Information Technologies and artificial intelligence aficionado about where AI really is and how it is affecting our lives. Michael Harre will be appearing at Raise the Bar, Tuesday 18th October. Chris Neff: Welcome to Open for Discussion. Joining me today is Dr Michael Harre from the University's Faculty of Engineering and Information Technologies. Michael is an artificial intelligence aficionado, try saying that 3 times fast, and lecturer in complex systems. Chris Neff: Can I ask first, what is artificial intelligence and secondly, what got you into artificial intelligence? What was your background, how did you come to this? Ahh.. There's no straight forward answer in the sort of...general definition but usually it's something that runs on a computer that;s trying to do something kinda human like but perhaps not being very..very good at it. Because my understanding is mostly a star trek, star wars aahhhh... Will Smith movies and other kind of.. Dr Michael Harre: Ah yeah there's some great movies out there and the movies out there umm..they portray a combination of robot and ah..robots with some form of human like intelligence but umm..what you see in the robots is a bit more like um..what we think of as human behaviour and sort of expressing our human mind ah..but that's not what we are able to do at all with artificial intelligence yet.

The days may be getting shorter up in the northern hemisphere, but that hasn't slowed the pace of updates to AWS. Amazon has kept on updating its cloud platform with a handful of quality-of-life changes, plus some major tweaks to how it handles Reserved Instances. One of the ways for customers to get discounts on compute capacity with Amazon's Elastic Compute Cloud is to sign up for Reserved Instances. Then they pay a set amount of money for the benefit of getting deep discounts on compute. It's something that Amazon introduced 8 years ago and has been an important part of the company's cloud offering since.

Splunk has traditionally been a tool to ingest, index and enable searching across vast bodies of data from multiple disparate sources. Rick Fitz, vice-president of IT Markets, explains the driving forces behind the introduction of machine learning, announced this week at the 7th annual Splunk conference, .conf Data doesn't live in a vacuum. "The goal of the data is how do I make better business decisions?" Machine learning, Fitz explains, adds context and meaning to all this data that has been gathered through the use of algorithms.

Facebook CEO Mark Zuckerberg took to the stage today at the Oculus Connect developers conference and showed off a taste of the company's mobile VR future. Lone Echo turns you into a robot assistant that can help a mission commander thanks to the use of your hands, made possible by the new Oculus Touch hand sensors. SAN JOSE -- When Oculus Rift first debuted, there were only a few ways to interact with the virtual world inside the headset. You could look at something and then click on a small control stick. This actually happened when I first experienced a VR T-Rex snarling in my face.

AI-powered drones soon will be everywhere, monitoring crowds at major events, checking out traffic patterns on busy roads, surveying disaster sites, and inspecting airplanes. IBM is edging into this airborne safety and maintenance market early, with a deal to bring its Watson internet of things technology to unmanned aircraft systems built by Netherlands-based Aerialtronics. Data captured by high-resolution drone camera lenses will be fed into IBM's visual recognition application programming interfaces (APIs) and services on its Watson cognitive computing and Bluemix cloud-based analytics platforms. The first market for the Aerialtronics drones is expected to be for cell tower maintenance. Instead of sending humans to laboriously climb towers and report back, inspection teams can deploy drones, which quickly gain a 360-degree overview, according to IBM. The visual recognition APIs can then analyze the images captured by the drone to detect problems like damaged cabling or equipment defects.