The increasing reliance on AI systems also poses potential risks. Underuse of AI is considered as a major threat: missed opportunities for the EU could mean poor implementation of major programmes, such as the EU Green Deal, losing competitive advantage towards other parts of the world, economic stagnation and poorer possibilities for people. Underuse could derive from public and business' mistrust in AI, poor infrastructure, lack of initiative, low investments, or, since AI's machine learning is dependent on data, from fragmented digital markets. Overuse can also be problematic: investing in AI applications that prove not to be useful or applying AI to tasks for which it is not suited, for example using it to explain complex societal issues. Liability: Who is responsible for damage caused by AI? An important challenge is to determine who is responsible for damage caused by an AI-operated device or service: in an accident involving a self-driving car.

EU countries are already strong in digital industry and business-to-business applications. With a high-quality digital infrastructure and a regulatory framework that protects privacy and freedom of speech, the EU could become a global leader in the data economy and its applications. AI could help people with improved health care, safer cars and other transport systems, tailored, cheaper and longer-lasting products and services. It can also facilitate access to information, education and training. The need for distance learning became more important because of the Covid-19 pandemic. AI can also make workplace safer as robots can be used for dangerous parts of jobs, and open new job positions as AI-driven industries grow and change.

This article about coronavirus and stock markets was written by Gabriel Plat, a Financial Analyst at I Know First. The year 2020 in the stock markets is what we call a roller coaster. Since the spread of the new Coronavirus outside China, we have seen stocks from different sectors and from different countries changing abruptly its trends. This can be seen clearly by the VIX Index chart below. This index is also called the "Fear Index" since it is a measure of the market expectation for volatility in the next 30 days.

Big data, unstructured or structured, fast or slow, in multiple contexts or one is a beast to manage. Big data is growing fast fueled by the democratization of data and the IoT environment. Often organizations simply control what they know they get results from and then store the rest for future leverage. In fact, most organizations use less than 20% of their data, leaving the remaining 80%, and the insights it contains, to be left outside to the operational and decision-making processes. Imagine if you used only 20% of any service you paid for every month and ignored the other 80%!

Big data, unstructured or structured, fast or slow, in multiple contexts or one is a beast to manage. Big data is growing fast fueled by the democratization of data and the IoT environment. Often organizations simply control what they know they get results from and then store the rest for future leverage. In fact, most organizations use less than 20% of their data, leaving the remaining 80%, and the insights it contains, to be left outside to the operational and decision-making processes. Imagine if you used only 20% of any service you paid for every month and ignored the other 80%!

Join the discussion about practical experiences and challenges, and the actual gains achieved, with Matti Aksela from F-Secure to learn: What are the actual practical applications of artificial intelligence and machine learning for any business? And what are the vulnerabilities of machine learning, and risks in using machine-based systems?

If the draft of its AI strategy is anything to go by, the EU has yet to recognize the technology's epochal significance Saul Loeb/AFP via Getty Images Brussels is failing to grasp threats and opportunities of artificial intelligence. When the computer program AlphaGo beat the Chinese professional Go player Ke Jie in a three-part match, it didn't take long for Beijing to realize the implications. If algorithms can already surpass the abilities of a master Go player, it can't be long before they will be similarly supreme in the activity to which the classic board game has always been compared: war. As I've written before, the great conflict of our time is about who can control the next wave of technological development: the widespread application of artificial intelligence in the economic and military spheres. That's why it's so worrying that while China has been quick to react to the threats and opportunities of AI, the European Union -- if the draft of its AI strategy is anything to go by -- has yet to recognize the technology's epochal significance.

One of the reasons leading to assess current definition of AI components, from a human and technological viewpoint, is to best understand the transformation needed to sustain an economic model rapidly shifting towards technologically driven intelligence. Beyond the skills, knowledge and culture questions, experts remind the strategic importance of AI for businesses. They develop their own approach of machine learning and outline requirements to generate more innovation. Applying Federated Learning requires machine learning practitioners to adopt new tools and a new way of thinking: model development, training, and evaluation with no direct access to or labeling of raw data, with communication cost as a limiting factor.

The concept of robotics has been in existence for a long time, with Egyptians using automated water clocks to strike the hour bell and hydraulically operated statues that could gesture and speak in 400 BC. Subsequently, there have been many such instances of robotics in the history of mankind. The first modern-day Industrial Revolution dates back to 1800s and had manufacturing processes for metals, chemicals, textiles and mining; leading to an increase in productivity and output. Robots have evolved tremendously over the years and are now being widely used in various sectors such as defence, disaster management, search and rescue operations, and the entertainment industry in the form of electronically operated toys. Automation is an extension of robotics and can be termed as the next phase of industrial revolution.