Giant tech companies, like Google, Apple, and Amazon, believe that the next economic wave will be driven by artificial intelligence. Because of this, they have spent billions of dollars into research and development for the advancement of AI, a move that will place artificial intelligence in control of almost every sector of the society. Google, Amazon, Microsoft, Apple, IBM, and Facebook along with China's Baidu and Alibaba have spent a total of $58.2 billion in research and development. That price is more than what any of some developed countries are spending on the same activity. For example the UK only spent $53.5 billion on research and development while Russia spent $47.6 billion.

Whenever you spot a trend plotted against time, you would be looking at a time series. The de facto choice for studying financial market performance and weather forecasts, time series are one of the most pervasive analysis techniques because of its inextricable relation to time--we are always interested to foretell the future. One intuitive way to make forecasts would be to refer to recent time points. Today's stock prices would likely be more similar to yesterday's prices than those from five years ago. Hence, we would give more weight to recent than to older prices in predicting today's price. These correlations between past and present values demonstrate temporal dependence, which forms the basis of a popular time series analysis technique called ARIMA (Autoregressive Integrated Moving Average).

Powers planned by the Government aiming to pave the way for commercial space flights in Britain will be included in the Queen's Speech alongside a raft of investments in transport infrastructure. The legislation, according to Department for Transport (DfT), will allow the launch of satellites from the UK for the first time, horizontal flights to the edge of space for scientific experiments and the establishment of spaceports in regions across Britain. The Queen's Speech, which has been delayed by two days due to the current instability in British politics, will also include measures to improve conditions for the 100,000 drivers of plug-in vehicles by "removing barriers that are preventing more drivers switching to electric". "As things stand, those wanting to use publicly-accessible charging points may need to register with several different companies that run them," the Department for Transport added. "The planned legislation will include measures to ensure drivers need register only once to make full use of the existing infrastructure."

First, Text Analysis and Natural Language Processing make up the largest cluster in the network. Scientific papers here point to advances in machine learning through pattern recognition in language, leading to everything from faster crime analysis to more efficient assessments of clinical narratives. While much of the network is related to health and medicine, the fourth-largest cluster is focused on environmental topics; here, machine learning helps predict how climate shifts affect, say, small mammals in Alaska or plant species in Peninsular Thailand. The Artificial Neural Networks cluster, on the upper left, seems to have a foot in both worlds: a significant number of papers on neural networks deal with human health, while others deal with the health of lakes or forests.

Sony's answer to Lego Mindstorms is a robot-building kit called Koov. It's the first product from Sony's Global Education division, and it's meant to help kids learn to code while they have fun building robots. The company has put the design kit on Indiegogo to gather some $100,000 in crowd-sourced funding while getting valuable feedback on the kits, which include more than 30 hours of kid-friendly coding instruction and multi-colored blocks with sensors and actuators. The project currently sits at almost $5,000 in funding; kits are set to ship out to backers in November. Like Lego's Mindstorms and WeDo, the Koov project aims to help kids develop "21st Century Skills" like creativity, critical thinking, collaboration and communication in science, technology, engineering and math (STEM) curriculum areas.

Innovation in the business world is accelerating exponentially, with new, disruptive technologies and trends emerging that are fundamentally changing how businesses and the global economy operate. To adapt, thrive, and innovate, we all need to be aware of these evolutionary technologies and trends and understand the opportunities or threats they might present to our organizations, our careers, and society on a whole. With this in mind, I recently had the opportunity to compile 99 Facts on the Future of Business in the Digital Economy. This presentation includes facts, predictions, and research findings on some of the most impactful technologies and trends that are driving the future of business in the digital economy. To make it easier to find facts for specific topics, I have grouped the facts into six subsets; in this post I'll share the second subset.

Creative Capital is IT World Canada's series that examines the impact digital transformation is having to change the face of communities across Canada. We're doing deep dives looking at the major tech hubs on the leading edge of the 21st-century knowledge economy. Our first five stories will focus on York Regions, exploring the densest ICT hub in Canada, its verticals, startups, and the factors contributing to its success. When the federal government unveils its short-list in contention for the $950 million it has earmarked for innovation superclusters later this year, don't be surprised if a consortium from York Region is on it. Up to five superclusters will share the funding based on the merits of their proposals, with Innovation, Science, and Economic Development (ISED) Minister Navdeep Bains saying the objective is to create Canada's own "Silicon Valley," and create good middle-class jobs.

Industries such as healthcare, government service, IT and telecommunication, media and advertising, BFSI, retail, travel, tourism, and hospitality create a huge amount of data base which is difficult to maintain by the conventional computing system. However with the introduction of artificial intelligence in these industries processing and managing of database became much efficient and rapid. Manufacturing is one of the first industry to take advantage of emerging AI technology, especially in the manufacturing process where robots were used to assemble and package products. Moreover, with the advent of technology, advanced robots will be able to perform complex operation in the manufacturing process such as assembling and testing of smart homes, smart city, vehicles, and electronics. Healthcare is another industry largely impacted by the deployment of AI technology. In fact, AI in healthcare industry would be the key area of contribution towards the'Fourth Industry Revolution'.

Today's leading organizations are using machine learning-based tools to automate decision processes, and they're starting to experiment with more-advanced uses of artificial intelligence (AI) for digital transformation. Corporate investment in artificial intelligence is predicted to triple in 2017, becoming a $100 billion market by 2025. Last year alone saw $5 billion in machine learning venture investment. In a recent survey, 30% of respondents predicted that AI will be the biggest disruptor to their industry in the next five years. This will no doubt have profound effects on the workplace.

By now you probably know that the people who make our clothes, chocolate, and diamond rings often suffer in the process. With growing consumer consciousness and stricter regulations putting pressure on companies to clean up their act, one company has devised a machine learning system it says will sift through data and locate forced labor in the manufacturing process. SAP Ariba, a for-profit software and IT company based in California, works with millions of large and small-scale companies to streamline their supply chain, the system through which their products are sourced, made or delivered. It works with companies that deal with fashion and food, but also technology. "The fact that every country in the world has made forced labor illegal, the acknowledgement alone has made companies realize they cannot take this lightly," said Padmini Ranganathan, the vice president of products and innovation at Ariba.