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There was once a time when Xbox was the dream of every child and gaming was not cool without an Xbox at home . However, those moments belong to a different decade as the last ten years have quite clearly changed what you understand as gaming. That is why, in all probability, Microsoft left no stones un-turned in releasing the all new Xbox by using all the popularity stunts possible. The event was grand enough, but the 500 dollar price tag asked a pertinent question. Is the day for Xbox gone? Or are they truly numbered? Whatever be the case, the grandeur perhaps gave away the emptiness that surrounded the occasion. Microsoft claimed to be a dream object for serious gamers, but is serious gaming even possible in today's world? More importantly, what does the statistics say? The statistics hardly lies, and in this case, it points to an overwhelming percentage dedicated to mobile gaming. Mobile games share as much as 42 percent of the total revenue that gaming industry has generated. S...

Data science is now one of the most influential topics all around. Companies and enterprises are focusing a lot on gathering data science talent further creating more viable roles in the data science industry. It has also been stated that data science and data scientist are the two most popular career tracks as of now. Since the advent of big data industry, the roles were very blurred since the main objective was to get the insights. But due to a recent change in perspectives, a lot has been written about the difference between the different data science roles, and more specifically about the difference between data scientists and data engineers. The role of the data scientist and that of a data engineer will now be discussed thoroughly with intricacy. Work and Responsibilities Data engineer's responsibilities A data engineer is he/she who indulges in the art of construction, development, and maintaining the architecture of databases and large-scale processing systems. They also ...

Sometimes, certain industries start feeding each other the necessary demand and supply nexus that each business needs. Such has been the case with automobile industry and semiconductor development business where automobile industry is increasingly adopting state-of-the-art semiconductor technology to renovate the very idea of the car. Statistics don't lie and currently vehicles consume 10 percent of electronic semiconductor production around the world. As more computation, more sensory capability and more connectivity becomes the obsession, the presence of semiconductors seem inevitable to an extent with only increase in sight. From microprocessors to micro controllers to simple IC chips, vehicle industry may well lead the semiconductor consumption in near future. Why such demand? Of course, behind every story of increased demand lies a story of new necessities that arise because of certain changes. Automobile industry is trying to open new horizons by ensuring safety and security...

If you are leading an enterprise and you don't know what to do with analytics when your enterprise churns out data, you are in deep water. However, it is easier said than done as many companies are often clueless regarding leveraging data . While analytics has removed the barrier of sizes by enabling everyone to derive unprecedented business decisions from dat a, not everyone is very sure whom to hire and what data should be invested upon. Here are some of the crucial aspects to follow if you are such a leader of the pack- Understanding it as a corporate strategy First things first, you need to include analytical capabilities in your strategy making to know the extent of pulling it off. Unless you give yourself a direction and invest particular pockets of energy into it, you will never win the race. Recognize the tools and methods first and then you can develop products at will and provide services as required. Five Keys to Leading in the Age of Analytics If you are leading an ente...

Machine learning is doing wonders currently and its latest effort has been invested in locating the roots of various medical syndromes. In a recent study, several syndromes like Chronic Fatigue Syndrome, Gulf-war Syndrome, and Post-Accutane syndrome etc. has been studied from the perspective of their genetic origins, pathways and other factors. Machine learning has been applied on the researcher data and their abstracts and with the help of natural language processing and network analysis, this conclusion has been achieved. Several topics like Sulfation, Carboxylation, and Adrenal deficiency came up in this process, and they criss-crossed each other too at times. Vitamin K metabolism also came up in this situation and it has been treated as a foundational step in the hypotheses. The associations in this regard come handy in the network analysis further on. Then, the central nodes are identified accordingly. While there are certain areas where the connections are denser and vitamin K a...

If you open any e-commerce website, you will suddenly see a chat box springing on your screen and an instant message appears that will tell you something about the website or may give you suggestions regarding a purchase. Such a phenomenon is the classic example of a chatbot where you may then continue to interact with it and it will tell you about the products according to your wish. With the constant development of APIs, chatbots are the latest addition in an increasingly automated world. Such a trend is yet to explode a technological potential, but it surely bears the sign of a new way of marketing. Experts suggest that slowly, end users will stop searching online markets or search engines for products and chatbots will do the job for them. If created properly, chatbots can ensure that your searches will effectively be effortless to the extent that search engines will be replaced by chatbots with built-in features for search. The advantages at hand The chatbots are surely growing an...