Companies are increasingly using software robots to perform routine business processes by mimicking the ways in which people interact with software applications. And the rapidly growing market for robot process automation (RPA) is already showing signs of an important emerging trend: Enterprises are beginning to employ RPA together with cognitive technologies such as speech recognition, natural language processing, and machine learning to automate perceptual and judgment-based tasks once reserved for humans. The integration of cognitive technologies and RPA is extending automation to new areas and can help companies become more efficient and agile as they move down the path of becoming fully digital businesses. RPA software automates repetitive, rules-based processes usually performed by people sitting in front of computers. By interacting with applications just as a human would, software robots can open email attachments, complete e-forms, record and re-key data, and perform other tasks that mimic human action.

If you do not want to visit that page, you can return to the previous page.

Microsoft CEO Satya Nadella has identified machine learning as the firm's key focus as cloud computing usage becomes more widespread. It is an area that is fast becoming the battleground for the big cloud providers. Google and Amazon Web Services both offer a range of tools that make it easier for developers to create'intelligent' applications, while the likes of Salesforce are keen to incorporate artificial intelligence into their software services. Speaking at an event in London's Canary Wharf financial district, Nadella's sales pitch placed emphasis on the role of machine learning across Microsoft's range of cloud products – from infrastructure and platform as a service offerings in Azure, to its Dynamics and Office365 cloud software. First he highlighted how Azure Iaas will support "the next generation of applications". He said: "Whenever you think about the infrastructure layer in computing, you are always driven by the applications of the future: what are developers writing, not just today, but what is going to be the core currency of the applications of the future?"

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.

If you do not want to visit that page, you can return to the previous page.

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.