Research suggests Australians are ready to embrace fintech banking solutions, and the launch of three new London-based chatbot startups may be a sign the rest of the world is gearing up for a revolution too. Artificial intelligence (AI) has been rapidly progressing over the past two decades, with machines reaching and exceeding human performance on an increasing number of tasks. Just this week, the White House released a report entitled Preparing for the future of Artificial Intelligence, which describes the ways in which AI has and continues to yield new opportunities for progress in critical areas such as health, education, energy, and the environment. Another important area of business, ripe for disruption, is finance and banking. In Australia, almost half (47%) the population expect to use financial technology (fintech) services for 50% or more of their financial needs in five years' time.

"It's encouraging to hear how many people are confident that automation and self-service will dominate customer engagement," said Houlne. "We at Humach still believe that humans will be needed to guide and tune these smart machines. Machine learning and artificial intelligence still have a lot left to learn." "2020 Customer" serves as a guide for customer care professionals looking to be proactive in their customer experience strategy. As well as providing interviews and data, it also provides a six-step roadmap for engaging with the customers of the future.

Oren Etzioni, chief executive officer at Allen Institute for Artificial Intelligence, David Kirkpatrick, chief executive officer at Techonomy, and Alex Moore, chief executive officer at Boomerang, discuss the White House's report on artificial intelligence, how A.I. will impact future jobs and the outlook for the technology. They speak to Bloomberg's Emily Chang on "Bloomberg Technology."

As banks look for places to save time and effort by deploying artificial intelligence software, one logical place is cybercrime and fraud investigations. One reason for this is that the amount of cybersecurity threat information keeps growing as the availability of cybersecurity skills in this country shrinks. According to the Ponemon Institute, organizations receive on average nearly 17,000 malware alerts a week, and the time spent responding to these alerts as well as to inaccurate and erroneous intelligence in general costs 1.27 million annually. The group's research has also found that 19% of all security alerts are considered reliable, but only 4% are investigated. According to IBM, 10,000 security research papers are published every year and over 60,000 security blogs are posted each month, adding to the challenge for small security teams to keep up.

Artificial intelligence has risen to prominence this year. In March 2016, Google DeepMind's AlphaGo won 4-1 in the Chinese game of Go, beating the top Go player in the world over the past decade, Lee Sedol. And IBM's Watson correctly diagnosed a Japanese leukaemia patient in ten minutes after doctors had failed to diagnose her condition over several months. Navigating this information requires vastly more sophisticated tools than hitherto available. Large industry players are aware of this and Google, IBM and Microsoft are all investing heavily.

A UK parliamentary committee has appealed the UK government to take action and begin seriously considering "a host of social, ethical and legal questions" that are increasingly pertinent thanks to the rise of artificial intelligence. The science and technology committee started its inquiry in March 2016, visiting Google's DeepMind office, gathering 67 written statements, and interviewing 12 witnesses in person in order to establish the most urgent issues. In its newly published report, the committee has concluded that "while it is too soon to set down sector-wide regulations for this nascent field, it is vital that careful scrutiny of the ethical, legal and societal dimensions of artificially intelligent systems begins now." The biggest reason for this is the need to ensure that the UK is building socially beneficial AI systems, and one of the best ways to make this happen is to start a wider public dialogue on the issue. There are three main issues that the committee flags up as requiring "serious" consideration: minimizing bias being accidentally built into AI systems; ensuring that the decisions they make are transparent; and establishing ways to verify that AI systems are operating as intended and won't behave unpredictably. In these early stages, the committee advises in its report that the government creates a standing Commission on Artificial Intelligence with a broad membership that is able to provide a wide range of expertise.

In an exclusive interview with GeoBuiz, Rogerio Bonifacio, Head, Geospatial Anaysis Unit, UN World Food Program, says that The Future Lies In Machine Learning. The World Food Programme is involved in humanitarian systems. The usage of earth observation data has grown manifold in recent years, with more focus on medium- and low-resolution data streams. Geospatial technologies provides wide spatial coverage required to keep track of hazards. Each agency has separate, but coordinated usage of earth observation data.

Hedge fund managers beware, someone is watching you. Or rather, something is watching you. A new artificial intelligence system can monitor traders, learn their behaviour patterns and raise the alarm when they do something out of character. For example, a trader who has avoided securities for a long time after suffering a loss on them suddenly dives back into a losing position. This triggers an alarm in the monitoring system and sends an alert to the hedge fund's compliance team.

Chatbots help people to learn through messaging. They support learners as tutors to decrease learning risk to discover unknown things. Chatbots lead the learning process and are very adaptive to each person. Probably, these bots will be free and will be available in different countries. Compared with education apps, chatbots are easier in using.