Pete Skomoroch and Jon Bruner will be hosting O'Reilly Bot Day October 19, 2016, in San Francisco. Subscribe to the O'Reilly Bots Podcast to learn about advances in conversational user interfaces, artificial intelligence, and messaging that are revolutionizing the way we interact with software. Find us on Stitcher, iTunes, SoundCloud and RSS. Something remarkable is happening in the world of artificial intelligence. At the O'Reilly AI Conference in New York, people weren't just talking about AI as a far-off dream; they were talking about AI as something that exists in real products today.

If you want to get something done with a computer, it turns out, there are better ways to do it than laboriously type out conversational sentences to be read by a programme with a shaky grasp of the language and a gratingly affected sense of humour. So I'm as surprised as anyone that for the past week, I've started every morning with a 10 minute conversation with a chatbot. The bot is the creation of Pittsburgh-based language-learning startup Duolingo, and it's the first major change for the company's app since it launched four years ago. In that time, the service has gained 150 million users, and stuck stubbornly to the top of the educational app charts on every platform it's available on. If you haven't used Duolingo, the premise is simple: five to 20 minutes of interactive training a day is enough to learn a language.

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.