Artificial intelligence (AI) is poised to transform the way that marketing professionals work, and how organizations target, engage and connect with customers and prospects. Just like how marketing automation created new tasks and job functions, AI will revolutionize the way marketing is performed – and dictate a new set of job needs and skills. Marketing will be one of the earliest business functions to be massively changed by AI use. In the past decade, marketing automation systems produced enormous amounts of data, much of which has gone unused. AI, which includes machine learning, intelligence process automation, digital assistants, and conversational interfaces, enables more of this data to be used for dozens of marketing applications.

Bank transfers, debit cards, credit cards, e-wallets and mobile wallets: all are used to process the one hundred and twenty-two billion digital transactions made each year in the European Union. At its simplest, the ubiquity of AI enables digital payments by allowing consumers to more easily buy goods and services through services such as digital assistants or recommendation engines, which run on machine learning. But this explosion in the number of the digital payments creates a problem which will also need AI to solve. The increase in web-payments, brings with it the unavoidable risk that volumes of digital-payment fraud will also rise. If we don't act now, fraud is likely to grow as a proportion all transactions.

Fox News Flash top entertainment and celebrity headlines for Nov. 1 are here. Check out what's clicking today in entertainment. A reality TV star in Australia is accused of trying to extort her Tinder date -- and then assaulting him with another man when he refused to pay, according to a new report. Suzi Taylor, who starred on the hit home renovation show "The Block," allegedly lured the 33-year-old victim, whom she met through the dating app, to a home in Brisbane just after midnight Wednesday, News.com.au She then demanded money from him -- but when he refused to comply, Taylor's alleged accomplice, Ali Ebrahimi, entered the room and assaulted the man, police said in a statement.

As developers look toward what makes a well-rounded conversational AI assistant, it's imperative to denote the differences between utility and intelligence. Today's intelligent agents can be useful -- the can sell a product, direct a call or answer a question without human intervention. But the chatbots of the future will be more flexible and interactive and should be able to "offer products and services in a human way," said Sasha Caskey, CTO of digital platform Kasisto. To train a computer to replicate human activity and speech, developers should start with contextual interactions, Karen Myers, lab director at SRI International AI Center, said at the AI World Conference Expo in Boston. The first generations of chatbots were focused on one-off interactions -- book this event on a calendar, answer this specific question or direct a user to a webpage.

I wanted to give a bit more detail to the concept of five levels of AI assistants. We've been talking about it at Rasa for some time, and recently wrote about this on the O'Reilly blog. This is our way of quantifying the path that AI assistants have been following, and will travel over the coming years. This is your guide to understanding the path to true conversational AI. We are still in the early days in the development of AI assistants, as most chatbots can only handle simple question and answer pairs.

Current commercial robots generally contain hard parts that represent a risk to the security of their administrators or there is a point of confinement for their usability. Because of this, soft robots have as of late pulled in impressive consideration, in spite of the fact that their absence of structural inflexibility intensely restricts their utilization in numerous practical applications. In the course of recent years, analysts have tried to make mechanical robotic personal assistants and bionic limbs or prosthetics that consolidate the strength of regular robots with the flexibility of soft robots. More recently, combinations of cellular structures have demonstrated intriguing advancement toward the enhancement of non-trifling abilities, for example, getting a handle on exceptionally shaped articles. In any case, tuning the mechanical properties of the robotic body for custom applications is still exceptionally challenging.

Looking to make the most of current AI technologies and solutions in your business? Register now for the O'Reilly AI Conference in San Jose, September 9–12, 2019, and learn how to leverage AI in your work today. What can artificial intelligence (AI) and machine learning (ML) do to improve customer experience? AI and ML already have been intimately involved in online shopping since, well, the beginning of online shopping. You can't use Amazon or any other shopping service without getting recommendations, which are often personalized based on the vendor's understanding of your traits: your purchase history, your browsing history, and possibly much more.

Some amazing--as well as some downright freaky--innovations in artificial intelligence and machine learning were detailed at the recent Decoded Future NYC Summit, presented by Stylus. Take, for example, technology that will watch consumer faces as they shop online, recording smiles, frowns, or other gestures to measure interest in a product. In the near future, consumers could also be interacting "face-to-face" with virtual assistant machines that have lifelike personalities, emotional responses and character. While those advances may be a few years away, AI and machine learning have already become customary among brands and retailers who are looking to track the right trends in style, color, and pricing. The major players have been taking advantage of this technology for years.

Nationwide Building Society, a finance firm based in the United Kingdom, has just announced they will be investing in a "behavioral analytics startup," known as Scaled Insights. According to Nationwide, Scaled Insight's speech analysis AI will be used to build individual profiles for their clientele, in order to tailor the bank's communications to fit each customer's needs -- or "linguistic personality," as they're calling it. The mainstream media is reporting on how a hospital in Leeds is already using this technology to help patients, perhaps in order to present this new AI technology as benevolent. But the truth is that no large corporation ever makes a large investment without expecting an even larger return. Nationwide is expected to pump $5.31 billion into new technologies over the next five years.

Now that Siri and Alexa have moved from guest to family member at home, the next frontier for artificial intelligence-powered virtual assistants is the office. KPMG analyst Traci Gusher thinks that these assistants will soon move out of the basic "What's the weather going to be?" phase to take on more work-specific tasks. In the next stage of artificial intelligence (AI) development, humans will be able to use virtual assistants as notetakers. These assistants will need coaching along the way just like any junior employee. Gusher predicts the technology will reach the ideal state of "virtual keepers of wisdom" by 2030.