When we talk about artificial intelligence, we rely on metaphor, as we always do when dealing with something new and unfamiliar. Metaphors are, by their nature, imperfect, but we still need to choose them carefully, because bad ones can lead us astray. For example, it's become very common to compare powerful A.I.s to genies in fairy tales. The metaphor is meant to highlight the difficulty of making powerful entities obey your commands; the computer scientist Stuart Russell has cited the parable of King Midas, who demanded that everything he touched turn into gold, to illustrate the dangers of an A.I. doing what you tell it to do instead of what you want it to do. There are multiple problems with this metaphor, but one of them is that it derives the wrong lessons from the tale to which it refers.

Founded in 1991, India-headquartered HCL Technologies is a global technology company that helps enterprises reimagine their businesses for the digital age. The company specializes in key areas, including digital, IoT, cloud, automation, cybersecurity, and analytics, amongst others. With the company increasingly having a presence in the RegTech space, how does it see the sector changing? How is RegTech changing compliance? According to Daryl Wilkinson – Senior Executive, Strategic Initiatives, Financial Services UK&I at HCL Technologies, "I think you can look at this through two lenses. First, there appears to be a consensus that the global RegTech market is expected to achieve $30bn by 2027 – so that alone is changing the compliance market –new investment is disrupting incumbent models and is changing the way regulators engage with businesses. The second lens is cost; financial services rely heavily on legacy technology – RegTech's nature is to find that niche to solve those problems at a much lower cost than the banks and insurers might otherwise do themselves."

Advanced data science technologies like artificial intelligence (AI), machine learning and robotic process automation are delivering significant benefits to many banks. As part of their mandate to protect shareholder value and improve financial performance, bank directors can play an important role in the adoption of these promising new technologies. Technology's expanding influence With fintech companies generating new competitive pressures, most traditional banks have recognized the need to adopt some new techniques to meet changing customer habits and expectations. Declines in branch traffic and increased online and mobile banking are the most obvious of these trends. Yet, as important as service delivery methods are, they are in a sense only the top layer of bigger changes that technology is bringing to the industry. New data-intensive tools such as AI, machine learning and robotic process automation can bring benefits to nearly all areas of a bank, from operations to sales and marketing to risk and compliance.

Utilities and energy retailers from across the globe will gather at the exclusive Bidgely Engage 2019 conference under the banner of'Unlock the Power of UtilityAI ' this September 11-13 in Napa, Calif. Engage 2019 is utility artificial intelligence (AI) leader Bidgely's third annual event that brings together utilities, AI experts and tech leaders to discuss trends, best practices and lessons learned in applied AI for the energy industry, as well as to enjoy networking in California's legendary wine country. This press release features multimedia. "For Engage, we pull in industry luminaries and tech leaders from outside the energy space to learn from their AI journeys and to explore how AI and machine learning advancements specifically for energy is delivering compounding benefits to utilities around the world," said Bidgely CMO Gautam Aggarwal. The shift of AI becoming mainstream in the energy industry was recently cited in a report by Navigant Research, covering how the future of utilities will be driven by the emerging disciplines of machine learning and artificial intelligence.

Unlike human cognition, narrow A.I. is not conscious or driven by emotion. Rather, narrow A.I. operates within a pre-determined, pre-defined range, even if it appears to be much more sophisticated than that. While these A.I.-based systems are able to communicate with users and answer questions, these machines are nowhere close to having human-like intelligence. According to Arif Khan, V.P. of Marketing at SingularityNET, centrally controlled A.I. projects led by large tech companies have resulted in the creation of narrow data sets, which could be harmful for the future of Artificial Intelligence. Let's say Facebook wants to develop A.I. algorithms.

An unprecedented wave of rank-and-file rebellion is sweeping Big Tech. At one company after another, employees are refusing to help the US government commit human rights abuses at home and abroad. At Google, workers organized to shut down Project Maven, a Pentagon project that uses machine learning to improve targeting for drone strikes – and won. At Amazon, workers are pushing Jeff Bezos to stop selling facial recognition to police departments and government agencies, and to cut ties with Immigration and Customs Enforcement (Ice). At Microsoft, workers are demanding the termination of a $19.4m cloud deal with Ice.

Just over fifty years ago, a French journalist, Jean-Jacques Servan-Schreiber, published his book, Le Défi Américain (aka The American Challenge, 1967). It presented the United States and Europe as engaged in a silent economic war. In that war, he wrote, Europe was being completely outclassed on all fronts in dealing with the Third Industrial Revolution (electronics, information technology, and automation). The invading industrial armies of the day--1960s giants such as General Motors and IBM--were becoming dominant in Europe because of stronger and more flexible management techniques, technological tools, and research capacity. The book became an international hit, selling an unprecedented 600,000 copies in France alone.

There is a lot of discussion around artificial intelligence (AI) and how these algorithms can change the pace of mankind's next evolution in technology. As always, there are two sides to the story. There are those who are afraid and those who see the opportunities that AI will bring to our lives. As a practitioner, I feel there is a need for us to understand whether AI is a science fiction or a part of our everyday lives. The fantasy, fiction, charm and promise of AI has kept the scientific community to continue pursuing it for last 70 years.

I try to show [earlier cases of] how humans tried to manage their algorithms, by talking about [how Google improved] search quality. The strategies put in place after World War II that worked for this period of 30 years have stopped working so well, so we came up with something else [which happened to create income inequality]. Here we have this amazing new technology, which is transforming an industry and putting more people to work than worked in that industry before, creating great consumer surplus, and yet it has ridden roughshod over cities, and exploited drivers. If that's the case, the systems we are building today, like Google and Facebook and financial markets, are really more important than the fake ethics of worrying about some far future AI.

The driver punched the air as his red and white Honda McLaren roared over the finish line. It was Suzuka, Mie Prefecture, 1988, and Ayrton Senna had just become Formula One world champion for the first time. The McLaren racing team and its engine maker, Honda Motor, were unstoppable that year, their drivers winning all but one of the 16 grand prix races. Off the track Honda had been tasting success, too. In the 1970s, its engineers had raised the bar for fuel efficiency and cleaner emissions with the CVCC engine. In the 1980s, as its engines were propelling Senna to multiple victories, the Civic and Accord models were redefining the American family sedan.