With every new technology and paradigm, there are a lot of misconceptions, but I'll try to set the record straight about the most common ones concerning bots. Wrong, most bots do not currently use AI, a lot of them will never need to use AI. Some bots use Natural Language Processing/Understanding to map what the user is saying to the bot to an actual intent. For example, there are many ways to say you want to book a ticket to a movie -- "I wanna book a ticket for later this evening", "I want to go to the movies tonight", "book me a ticket to a movie after 8pm"- all of these mean more or less the same, but for a developer it is quite hard to map these into an intent to book a ticket this evening. That is the most common use of AI today in bots, this is not what most people think about when they say artificial intelligence.

In order to compete with new digitally savvy competitors, retail banks must be agile and single-minded about putting the customer first. The truth is, most banks are not there yet; however, their customers are. Seventy-nine percent of customers say their banking relationships are merely transactional, according to the 2016 Accenture North America Consumer Digital Banking Survey. That is simply not good enough. Retail banks need to make themselves integral to their customers' lives.

To create a desirable future where humans and conscious machines are at peace with one another, treating our AI with respect may be a crucial factor in preventing the apocalypse Elon Musk, Stephen Hawking and Bill Gates fear. Like basic human rights, AI rights may include the right to liberty, freedom of expression, and equality before the law. But how will AI rights be different from human rights? The AI rights revolution may be contingent on intelligent machines being conscious, with the capacity to feel that they exist and consequently feel pleasure and pain.

In 2014 Google bought a UK-based artificial intelligence research lab called DeepMind for a hefty 530 million. Since then, DeepMind has made rapid progress in AI technologies, including health and gaming applications. The latest achievement of DeepMind is WaveNet, an AI computer program that can almost mimic the way humans speak. Experts say that WaveNet has "halved" the gap between machine-speak and a natural human voice. So what we're talking about here is more like Jarvis from Iron Man than Arnold Schwarzenegger in Terminator – or any of his other movies, for that matter!

Innovative technology in the retail world doesn't always mean flashy gadgets. In fact, most of the industry's most effective form of digital disruption is invisible. Machine learning technology continues to further integrate with consumers' daily lives, with new offerings such as Apple's personalized App Store or Amazon price optimization tools. These platforms are seamlessly providing a personalized online experience through algorithms that are invisible to the average user. Think about how Facebook, Netflix, Amazon and Google make smart inferences and recommendations for the consumer.

The same technology that allows online advertisers to target consumers as we browse the web could eventually play a key role in communication network security – even at the national-defense level. An award-winning group of researchers published a study in IEEE Xplore saying that advertising algorithms--frequently used by search engines like Google and Yahoo--could help develop a machine-learning approach for navigating complex communication networks. In the past, it was relatively easy to both protect communication networks from attempted hacking and intercept (or jam) signals from other networks. These days, though, networks are anything but simple thanks to various factors such as mobile devices, sensing technologies, social networks, and others. As a result, understanding how these networks communicate is a challenge.

Cyberspace is an increasingly hostile environment. In 2015, a PwC study of U.S. organizations found that 79 percent of respondents had detected a security incident during the year. Today, malicious hackers continue to wage on business networks and systems. Their aim - to extract data to sell on the black market. Making use of the latest technology, these criminals exert huge pressure on businesses to defend its assets.

Which authors of this paper are endorsers? Disable MathJax (What is MathJax?)

Nf3: chess aficionados will recognize that unusual yet unique opening move of Gary Kasparov which he used to defeat Deep Blue in 1996, after losing the first game to the computer. Even as the debate on man versus machine superiority raged, Kasparov went on to win the series against the huge computing power pitted against him. A year later though, Deep Blue came back with a larger database, improved software and more CPU power to beat the then-greatest chess player in the world. The world saw this as the triumph of AI. A magic beyond all we do here", said Albus Dumbledore wiping his eyes.