It's safe to say that most sectors will undergo significant disruption as a result of artificial intelligence (AI) technology. AI will not only disrupt our business models but it will also disrupt our legal framework for the creation and exploitation of intellectual property (IP) rights, giving rise to new IP challenges for those seeking to develop and deploy new AI systems. With AI systems already being used to generate content capable of attracting IP protection, working out exactly who owns the IP rights in this content will become increasingly important, especially when it comes to licensing or enforcing those rights. When an AI system is used by a human solely as a tool for creating a work, the same human using the system will generally be considered "the author". But what happens when the AI system is more involved in creating the work, e.g. it is given a few simple inputs and the system goes on to create something which is much more than the sum of the inputs?

Artificial intelligence has already proven its worth at performing routine tasks. But how good can it be at artistic creativity? A group of researchers at Kingston University and Queen Mary University of London are exploring the concept with AI that composes music. According to Dr. Oded Ben-Tal, lead researcher and senior lecturer in music technology at Kingston University, the results are impressive and can mark a new chapter in music, in which humans and machines collaborate in creating art. There are practical reasons to start with Irish music, Ben-Tal said, including the availability of data.

Your next doctor could very well be a bot. And bots, or automated programs, are likely to play a key role in finding cures for some of the most difficult-to-treat diseases and conditions. Artificial intelligence is rapidly moving into health care, led by some of the biggest technology companies and emerging startups using it to diagnose and respond to a raft of conditions. While technology has always played a role in medical care, a wave of investment from Silicon Valley and a flood of data from connected devices appear to be spurring innovation. "I think a tipping point was when Apple released its Research Kit," said Forrester Research analyst Kate McCarthy, referring to a program letting Apple users enable data from their daily activities to be used in medical studies.

Tallinn, Estonia - Things are bad on the small island nation of Berylia after a diplomatic row with Crimsonia, its bigger neighbour and rival. There are street protests by the Crimsonian minority in Berylia, which then suffers a wave of cyber-attacks that make it lose control of its drones and its only international airbase. Crimsonia is blamed for the cyberoffensive even though there's no hard proof. Crippled by the attacks, Berylia, a new member of the North Atlantic Treaty Organisation (NATO), weighs its options. One of them is to invoke Article 5 and take the military alliance to war against Crimsonia.

The application of the computational analysis and learning techniques described in previous research, manifest themselves in the form of artificial intelligence (AI). AI represents the ambition to create machines that can think, learn and create solutions to problems with the same range to which the human mind can be applied. AI is absolutely nothing new – all of us are using it every day. Every time we send an email, use a credit card or travel, or search the Internet, AI systems are the bedrock on which we perform these activities. Intelligent algorithms are constantly checking and detecting credit-card fraud, flying and landing airplanes, keeping track of inventories and even manufacturing products in robotic factories.

The matter remains open for discussion but we are more interested in how the advent of AI will interact with innovation over the following months and years. "A.I. will replace up to 45 per cent of American jobs within 20 years." We have been aware of the potential for AI to take over the more repetitive and mundane tasks for some time now. However, it is important to be aware that creative roles are not exempt from the capabilities of AI. I can already hear you protesting – but innovation is an inherently human endeavour, combining creativity with inspiration, surely a robot cannot replicate this?

WASHINGTON – Your next doctor could very well be a bot. And bots, or automated programs, are likely to play a key role in finding cures for some of the most difficult-to-treat diseases and conditions. Artificial intelligence is rapidly moving into health care, led by some of the biggest technology companies and emerging startups using it to diagnose and respond to a raft of conditions. California researchers detected cardiac arrhythmia with 97 percent accuracy on wearers of an Apple Watch with the AI-based Cariogram application, opening up early treatment options to avert strokes. Scientists from Harvard and the University of Vermont developed a machine learning tool -- a type of AI that enables computers to learn without being explicitly programmed -- to better identify depression by studying Instagram posts, suggesting "new avenues for early screening and detection of mental illness."

Machine learning is trying to one-up just-in-time inventory with what can only be called before-it's-time inventory. The Economist reports that German online merchant Otto is using algorithms to predict what you'll order a week before you order it, reducing surplus stock and speeding deliveries: A deep-learning algorithm, which was originally designed for particle-physics experiments at the CERN laboratory in Geneva, does the heavy lifting. It analyses around 3bn past transactions and 200 variables (such as past sales, searches on Otto's site and weather information) to predict what customers will buy a week before they order. The AI system has proved so reliable--it predicts with 90% accuracy what will be sold within 30 days--that Otto allows it automatically to purchase around 200,000 items a month from third-party brands with no human intervention. It would be impossible for a person to scrutinise the variety of products, colours and sizes that the machine orders. Online retailing is a natural place for machine-learning technology, notes Nathan Benaich, an investor in AI.

Horror stories about artificial intelligence abound: whether it's robots stealing our jobs, or smart appliances spying on you. Coping with the rapid rise of automation has become a grand challenge for the 21st Century, identified by academics and researchers across the globe. In this special series, Future Now takes a close look at the biggest, most important issues we face in the 21st Century. For two months, we'll bring you insights from leading scientists, technologists, entrepreneurs and influencers to help you make sense of the challenges we face in today's rapidly evolving world. The coming era of intelligent machines can sometimes sound terrifying, and even dystopian.

Summary: At least one instance of Real Time Predictive Model development in a streaming data problem has been shown to be more accurate than its batch counterpart. Whether this can be generalized is still an open question. It does challenge the assumption that Time-to-Insight can never be real time. A few months back I was making my way through the latest literature on "real time analytics" and "in stream analytics" and my blood pressure was rising. The cause was the developer-driven hyperbole that claimed that the creation of brand new insights using advanced analytics has become "real time".