AI and data science will probably bring about the most significant changes to the financial services industry that the industry has witnessed in its short history. Yet, today, many financial institutions are still struggling to find their way to start the AI journey1. We propose a concept called T-shaped teams (See Exhibit 1) as the solution for financial institutions to overcome the hurdles in AI adoption. The idea is simple: Technology, more specifically AI and data science, is such a distinct discipline from investments that it takes an additional function, which we refer to as the innovation function, to join them and form the cohesive AI-age investment team. Globally, the financial services industry is eagerly looking to transform from Stage 0 in AI adoption to Stage 1 (See Exhibit 2).

The NHS is set to receive a £36m injection to bolster its AI capabilities across 38 new projects designed to make diagnoses faster. While the NHS has been handling the Covid-19 pandemic, concerns over a diagnoses backlog have emerged, with people more hesitant to go to the GP or hospital for check-ups. The new technology will help detect cancers and provide mental health support and form part of the NHS AI Lab's £140m AI in Health and Care award money pot – which will be dished out over three years. Chief executive of NHS England, Simon Stevens, said: "As the NHS comes through the pandemic, rather than a return to old ways, we're supercharging a more innovative future. "So today our message to developers worldwide is clear – the NHS is ready to help you test your innovations and ensure our patients are among the first in the world to benefit from new AI technologies."

With approximately 8.6 million people and four official languages (German, French, Italian, and Romansh), Switzerland is uniquely at the heart of Europe but without being a member of the European Union. In global terms, Switzerland does not even enter the top five as an'AI leader'. But when it comes to Europe and its place in the AI race, Switzerland has a claim to be Europe's number one European AI hub (when excluding the UK). From the AI for Good Global Summit in Geneva to the Novartis AI Innovation Lab in Basel, Switzerland has been slowly becoming an epicenter of artificial intelligence in Europe. Founded in 1853, the École Polytechnique fédérale de Lausanne (EPFL) is a research institute and university specializing in natural sciences and engineering.

For over seventy years the story of artificial intelligence (AI) has been one of saturating the capabilities of AI to the level of computational power available, and then waiting for Moore's Law to catch up. During that time there have been bubbles of AI hype, research booms, funding busts and a quiet rebirth. The AI story starts with Alan Turing, a young British polymath who explored the mathematical possibility of artificial intelligence. Turing suggested that humans use available information as well as reason in order to solve problems and to make decisions. Turing postulated that machines which could do the same thing.

The Rewired investment fund focuses on enabling the technologies of the AI revolution by investing across five verticals including machine learning, robotics, bionics, sensors, mapping and localisation. Backed by technology investors including Tej Kohli, we believe that AI has the potential to positively impact every segment of economic activity and to improve every aspect of human life. In 2017 Ambassador, Elle King, and Wiz Khalifa performed together on Alex Da Kid's single, ''Not Easy'' which ranked highly in the iTunes chart. The tune was created using IBM's Watson, which scanned the most popular songs from the last five years as well as analysing news, media, reports, movie scripts and social media posts. The results helped the artists to understanding the "emotional temperature" of people at that specific time.

Many predictions were made decades ago about an era when robots and humans would co-exist. Today thanks to major advancements in Robotics and AI, robots come in many different shapes and sizes. But the most intriguing ones are those which resemble humans. These humanoid robots have been growing in popularity in recent years. Humanoid robots are being used for research, space exploration, personal assistance, caregiving, education, entertainment, search and rescue, manufacturing, public relations and healthcare.

But before we can begin to analyse and realize the potential of humanitarian AI and robotics, we have to address the most common questions that people ask about the future of human and machine collaboration. Similarly, at this inflection point of artificial intelligence and robotics, I actually think that what we are looking at is the prospect of a huge leap forward in productivity that will allow humans to accomplish more, not less. But over longer time horizons I believe that by augmenting human abilities using AI and robotics all of humanity can be much better off. By assigning robots the task of working in hazardous conditions such as poor lighting, toxic chemicals, tight spaces and heavy lifting, we can remove the risk to humans of workplace injuries. We can also use robots to assist humans, so that they can continue to work without fearing long-term health issues. Stay updated on last news about Artificial Intelligence.

Robotics and artificial intelligence are beginning to transform a broad spectrum of industries, and I believe that in time, given its near-endless applications, omnipresent AI will contribute $150 trillion to the global economy. I also believe that humanitarian efforts all over the world will be greatly advanced by emerging artificial intelligence and robotics technologies as they continue on their rapid exponential growth trajectory. But before we can begin to analyse and realize the potential of humanitarian AI and robotics, we have to address the most common questions that people ask about the future of human and machine collaboration. Will robots take our jobs? And will artificial intelligence and robots create a more unequal society?

Professional traders are anticipating artificial intelligence and machine learning to be the most influential technology over the next three years. JP Morgan's flagship survey reveals more than half of professional and institutional traders anticipate machine learning to lead technology. Currently a third of client traders predict mobile trading applications to be the most influential this year. Certainly the Reddit Gamestop rally powered by low cost trading platform is already testament to just how quickly the environment has changed. Read more: 'Robots will take our jobs': Eigen boss Lewis Liu on the future of the City worker Electronic trading picked up last year and all surveyed expect to increase electronic volumes this year.

Is Elon Musk right to predict that artificial intelligence will overtake humans within five years? For the last few years we have been saying that by 2025 we will pass someone in the corridor and not know if they are human or android. That's not to say that we're going to find ourselves in a "terminator" situation of artificial intelligence taking over the world, but machines will be the faithful assistants taking care of all ordinary chores. Man will be liberated from subsistence to creative expression, where humans will continue to reign supreme. This diffusion of carbon and silicon forms will be inevitable but a bit weird initially, as Musk points out. But as humans settle to this new normal, the new hybrid workforce will make for an exponentially more efficient planet.