"The relationship between human intelligence and artificial intelligence (HI AI) will necessarily be one of symbiosis. The challenge and potential of exploring this co-evolutionary future is the biggest story of the next century and one in which a closeness in development velocity is a necessity." Entities like DeepMind illustrate the advancements of artificial intelligence, or AI, through gameplay analysis, and then the subsequent ability for the AI to recognize winning patterns unnoticed by its human competitors. Herein lies the HI AI development velocity illustrated. Imagine applying AI-based gamification to desired business questions and hypothetical outcomes. For example, given a sufficiently broad set of data, a business might ask an AI system, what is the best strategy to maximize revenue?

A few years back, the thought of a fully smart home might have seemed far-fetched. With everything around us becoming increasingly interconnected, home appliances and devices are now becoming ever more combined into the internet. The main goal of a smart home is to provide comfort, efficiency, and security to the homeowner. This trend is quickly shifting from a luxury to a necessity for a majority of homeowners, not only in the UK but worldwide. A smart home has a collection of interconnected home devices powered by intelligent applications.

PM Narendra Modi's government is expected to launch a national artificial intelligence programme soon. The programme will see the formation of a task force under the leadership of Principal Scientific Advisor K Vijay Raghavan. This force will identify projects and initiatives in which to implement AI technology. Recently, a long-standing clash between government think-tank NITI Aayog and Ministry of Electronics and Information Technology (MeitY) on which department will anchor the AI project, has ended. Since Finance Ministry has approved NITI Aayog's Rs 7000 crore plan, the much-awaited proposed policy can finally come into existence.

A glossy high rise in the heart of Miami aims to be the first residential building in the U.S. with a specially designed rooftop to accommodate a Jetsons-like future where cars take to the skies. Halfway through the construction of Paramount Miami World Center, developers determined that the $4 billion, 60-story complex needed something extra to stand out among the vast array of living options for the super-rich. So they installed an observation deck at the top that doubles as a landing pad for vertical takeoff and landing vehicles, often called VTOLs, or flying cars. The tower will have its grand opening early in 2020. Meanwhile, a flying car's reality, where passengers can be dropped off at home like Amazon drone packages, could be decades away – if ever.

Globally, food waste is a massive problem. According to the Food and Agriculture Organization of the United Nations, around 1.3 billion tonnes of food is wasted globally every year. That's believed to be enough to feed the world's 815 million hungry people, four times over. But thanks to advancements in technology, this problem could one day be eradicated. Grocery technology pioneer Ocado, for example, has been able to slash food wastage rates to just 1 in 6,000 items by using data analytics, machine learning and artificial intelligence to manage its produce.

Machine Learning applied to financial services industry has the potential to improve outcomes for both businesses and consumers. And in the UK, firms are beginning to take advantage of this. A recent survey, called'Machine Learning in UK Financial Services', carried out by the Bank of England (BoE) and the Financial Conduct Authority (FCA) has found that two thirds of respondents report they already use it in some form. The median firm uses live ML applications in two business areas and this is expected to more than double within the next three years. The Bank of England (BoE) and Financial Conduct Authority (FCA) have a keen interest in the way that ML is being deployed by financial institutions.

We keep hearing this from all quarters: 'The world is changing rapidly'. While it's a fact, we need to understand better what these changes are, how they can affect industry, and how management education needs to prepare students for these changes. Let us look at two prominent emerging areas that are both disrupting as well as enabling businesses: data science and machine learning. It's is a vast field that transcends businesses, mathematics, statistics and computer science. This truly multidisciplinary field extracts knowledge and insights from data in various forms with the use of scientific methods, algorithms, processes and computer systems; further, it is used for business objectives.

The World Economic Forum, released a report in 2018, stating that, 50% of companies, will reduce their workforce, due to the efficiency of technologies, such as automation, artificial intelligence, robotics, etc., which has, significantly, reduced errors associated with humans. The report, also, stated that 75 million jobs, will be lost, in the process. Technology is, gradually, taking over and it has been projected, by economists that, Robots could take over 20 million manufacturing jobs, around the world, by 2030. It was, recently, reported that 11 years from now, 14 million robots, will be, actively, working in China, (from a 2018 study, culled from Oxford Economics in) Automation and Artificial intelligence, (AI), are gradually, taking over and this trend is noticeable, in the workplace, where there has been an exponential rise, over the past 20 years, to 2.25 million. The calculation of flight trajectories that helped spaceships into the sky was, formerly, calculated by humans, employed by NASA, (as shown in the movie, Hidden Figures), but today, automation has taken over that, relegating those employed humans, to the background.

The National Cyber Security Centre (NCSC) revealed it has thwarted over a million cases of suspected payment card fraud in the past year, according to the organisation's third Annual Review. The NCSC's latest figures also revealed it dealt with 658 UK cyber-attacks during the past twelve months – taking the total to more than 1,800 over three years. Payment fraud, which historically has been driven by card cloning, has since mitigated towards transactions where the card does not need to be present, such as purchases online. Head of artificial intelligence at SAS UK & Ireland, Caroline Hermon, commented: "The rapid expansion of payment services over the last few years has led to consumer demands for convenience and flexibility with new payment methods. "Banks and other financial institutions are aware that they must meet these demands, but they are also aware that these new payment systems leave them open to new forms of fraud.

Clifford Chance has commenced the pilot phase of its cutting edge robotics training programme, Automation Academy through Create 65; the firm's LegalTech innovation lab. The programme will be run in conjunction with Josef, a'next generation' legal automation platform that allows lawyers to create bots. Josef's team of legal designers and technologists will support the initiative. The Automation Academy is intended to provide trainees and lawyers a foundational understanding of how to automate legal contracts and other tasks using a no-code platform. Singapore Managing Partner Kai-Niklas Schneider offers, "This training will equip our lawyers with the skills to identify automation opportunities, and develop, test and build'bots' to solve real world challenges within the firm."