If you are in the Information Technology space, you are likely knowledgeable on what artificial intelligence holds. In fact, considering AI, the future of Information Technology appears bleak to some experts but promising to others. Some workers are concerned with the future of their jobs. Yes, research reveals that automation and artificial intelligence could be coming for these jobs. In fact, there is a possibility of a replacement of over 22 million jobs within the next decade – in the United States alone.

Upgrade your inbox and get our Daily Dispatch and Editor's Picks. CHINA'S "Sputnik moment" came on May 27th 2017. On that day an algorithm thrashed Ke Jie, the world's best player of Go, an ancient and demanding Chinese board game. Mr Ke's defeat by AlphaGo, an artificial intelligence (AI) system developed by DeepMind, a British firm that had been bought by Google, was as much a blow to China's psyche as the Soviet satellite was to America's self-esteem in 1957. Within months, China announced ambitious plans to dominate AI by 2030. Kai-Fu Lee thinks it will succeed.

Consumers check out products at Microsoft's booth at a tech fair in Beijing. Microsoft Corp plans to deepen its artificial intelligence push in China by teaming up with healthcare players and empowering them with algorithms needed to prevent and detect certain diseases, according to the company's top executive in China. Through partnerships with United States pharmaceutical major Eli Lilly and Co and Chinese image cognition startup Airdoc, the tech giant plans to create an AI-powered ecosystem in China that can reduce the burden on the country's growing healthcare system, said Alain Crozier, CEO of Microsoft in China. "China is going to play a fantastic and big role in this field ... we (need to) make sure companies partner together in order to resolve some of those big challenges that not only touch China but the rest of the world," Crozier told China Daily in Shanghai. Under the agreements, Microsoft will extend its AI and cloud computing capabilities in the realm of medical imaging and disease screening to its partners, and will optimize workflow such as digitalization of medical records using natural language processing.

How can you empower yourself? Because the skills required for jobs in the AI economy are changing so rapidly, we need to ensure that our systems for preparing, educating, training, and retraining the current and future workforce also evolve. Not only will the new AI economy require new technical skills, but there is a growing recognition that most workers will need to learn new skills throughout their working lives. At Microsoft, we believe everyone should have the resources to learn more and become an expert in AI, and this is why we are collaborating with organisations such as AI Singapore to empower as many persons as we can. In addition to that, we are making a lot of the AI learning assets that Microsoft uses free to use for individuals ranging from students to developers.

Simply put, the Internet of Things (IoT) is the intersection of hardware, the internet and sensors with one another. European engineering tends to be in the spotlight within this industry, because of the tradition of top technical and engineering universities. The Institute of Electrical and Electronic Engineers (IEEE) says that about 30bn connected objects will constitute the worldwide IoT by 2020 – an estimated $7.1bn market – and European hardware and IoT startups hold the controls to one of the biggest revolutions mankind will witness heavily in the near future. From very innovative chips to sensors and drones to IoT "in the cloud", here are 10 promising IoT startups to watch in 2018 – a top mix of technology innovators from all corners of Europe. Smartfrog has developed a universal IoT platform designed to build dedicated solutions across product areas.

Even though the benefits of artificial intelligence are widely acknowledged, a survey performed by Gartner, Inc. shows that the adoption of AI is slow. Only more than 10% of the companies that were surveyed have utilized or deployed AI in their businesses. Furthermore, the role of AI in marketing is more established in the Asia-Pacific region as compared to other areas. Let's take a closer look at what contributed to the current state of AI adoption among marketers. The fast evolution of technology has widened the use of AI for marketers.

Compositing multiple objects from different sources into one image is a formidable computer graphics challenge involving relative scaling, spatial layout, occlusion, and viewpoint transformation of objects from the 3D world to a 2D image. Now the task can be accomplished by an AI-powered Compositional Generative Adversarial Network (GAN). A new paper from a team of UC Berkeley researchers addresses the compositionality problem with no explicit prior information provided regarding the layout of objects. The key to this method is to fix one object while resizing and transforming other objects according to their complex joint interactions. These are learned by AI during a process of individual object combination and separation in the image.

In the previous article, I had outlined the rising anxieties with regard to the rise of A.I. and automation in various sectors of employment. As discussed earlier, there are various jobs that may get redefined in the wake of the automation revolution. But what are the jobs that will remain safe? Also, what are the new skills you may need to acquire to get you ready for an uncertain future? In this article, I will try to answer your questions.

Most of the attention on the relationship between the U.S. and China is about whether or not there will be a trade war, and, more generally, about how each country is trying to displace the other in a zero-sum game to be the world's dominant superpower. But the more important consequence of that relationship is how the two countries have created a duopoly -- as the dominant powers in AI -- which is going to change the world much more dramatically than any trade war has the potential to. It's one of those books you read and think, "Why are people reading any other book right now when this is so clearly the one they need to be reading?" His thesis -- urgent but hopeful -- goes something like this: Work on artificial intelligence has been going on since the 1950s. But in the last 5 or so years, advances have accelerated in deep learning, or what Kai-Fu Lee calls "narrow AI" technology, which can digest huge amounts of data from one particular domain and make decisions much more effectively or accurately than a human can.

In this interview, Tamim Saleh cuts through the hype around artificial intelligence with guidance for executives about where and how to employ AI in their businesses. In this episode of our Inside the Strategy Room podcast, senior partner Tamim Saleh cuts through the hype around artificial intelligence (AI) and offers clear guidance for executives looking to make precise strategic decisions about where and how to employ AI in their businesses. Tamim shares insights on the impact of machine vision on AI, the future of voice recognition, and the latest developments in advanced analytics, virtual assistants, and robotics. He outlines the challenges companies face when adopting AI and the steps CEOs can take to overcome them. Tamim is a senior partner in our London office, and he is with me at our Global CFO Forum, where he's speaking about AI and machine learning. Tamim, one of the things you've talked about is the notion of five different developments of AI. Tamim Saleh: Machine learning and AI are limited by the fact that when we input data as humans, first of all we are slow, and we make mistakes. One of the fastest-growing technologies is capturing data through image analytics and cameras. And the beauty of this is, cameras don't make the same mistakes we do, because they capture things the way they are, and they don't see the world the same way that we do. In fact, the spectrum is much wider than what we see. It includes infrared, et cetera.