E-Commerce industry has been growing constantly. The latest technological advancement have certainly accelerated its growth and on its way. The e-commerce industry has been expressively influenced by the rise in mobile internet usage, IoT and big data. Big data can be used for efficient trailing of transactions, sales analysis and for forecast demand and supply
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The transformational shift in HR functions from routine matter to strategic function has changed the role of HR manager from supporter to strategic adviser or business partner. With this shift, companies have understood that human resource is central resource.
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"Hey Siri, what is IIoT?" Every time you ask Siri, you get an accurate answer. Wonder how your virtual assistant suggests, thinks and talks like a human being? Because it has been taught that way through machine learning.
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Judea Pearl helped artificial intelligence gain a strong grasp on probability, but laments that it still can't compute cause and effect.
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The marketing landscape is continuously changing due to emerging technologies and it can be tough to keep up with the latest trends. However, to stay competitive you need to be ahead of the curve so that you can take benefit of new marketing opportunities.
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The shift towards data driven approach has created demand for data analyst. The application of big data and data analytics is increasing day by day. So, career in data analytics will provide students with opportunity in different industries.
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Artificial Intelligence and Machine Learning are the two major big fields that are going to affect all the industries now the Healthcare industry joins the hands with Artificial Intelligence and Machine Learning. We need tools that can help both clinicians and patients to make better healthcare decisions.
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From data driven strategies to decision making, the true worth of Big Data has been realized, and has led to opening up of amazing career choices. Check out these 12 interesting careers to explore in Big Data.
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Google is also implanting Artificial intelligence, Machine learning, algorithms, Natural language processing, neural network, Deep Learning. Lets explore how google is leveraging benefits from these technologies and delivering delightful experience to its user.
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Check out this collection of 9 (plus some additional freebies) must-have skills for becoming a data scientist.
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Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. The data science industry's job market is hot today.
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There are many different ways to do image recognition. Google recently released a new Tensorflow Object Detection API to give computer vision everywhere a boost.
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The trending technologies of 2018 like Artificial intelligence, machine learning and block chain is going to disrupt the utilities ad energy sector. Many utility companies have started to apply AI to lower their utility bills and block chain to offer a reliable and cost-effective way for operational and financial transaction.
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So yesterday someone told me you can build a (deep) neural network in 15 minutes in Keras. Of course, I didn't believe that at all. So the next day I set out to play with Keras on my own data.
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An artificial neural network, for short, is a machine learning algorithm based on a very crude approximation of the way we used to believe brains, the neurons in the human brain work or an animal brain work. We now know that it's actually quite a bit more complicated than this, but the mathematical model is actually quite useful.
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Now a day attending colleges and getting degrees is not sufficient to get a good and high paying job. Today getting a good job requires knowledge of recent trends and technologies and skill set to operate that technologies.
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Country's second-largest telecom service provider Vodafone is leveraging Artificial Intelligence (AI) and Big Data technologies to enhance consumer experience. Technologies such as Artificial Intelligence and Big Data are helping to understand customer preferences better and that enable to cater to them accordingly.
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Extensive list of 50+ APIs in Face and Image Recognition ,Text Analysis, NLP, Sentiment Analysis, Language Translation, Machine Learning and prediction.
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With the vast innovations and development of technologies such Artificial Intelligence, Robotics, Chatbots, Machine learning, almost all industries are seeing transformational change. Similarly, manufacturing industry is also seeing a new movement with the application of AI, Robotics, Block Chain Technology, Internet of things etc.
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Staying ahead in the promptly evolving Artificial Intelligence race needs enterprise leaders to make fast, informed decisions about where and how to leverage AI in their business. Artificial intelligence (AI) is a part of computer science that highlights the formation of intelligent machines that work and reacts like humans.
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The Internet of Things delivers real-value to the business and the term Internet of Things commonly referred to as IoT has increased popularity over the past few years. For small to medium-size businesses, IoT devices have the potential to optimize resources, streamline processes and in the end, result in significant overall savings but in order to achieve these benefits.
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When analyzing within Google Analytics. One needs to know what segments are, first of all, but also how to then build segments within the custom segments builder and slice ones data in a way that it gives one the right viewpoint on ones data.
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There are different methods of doing this. But also, you could upload data into your account or use the measurement protocol to track actually data in your account. There are different hit types that you need to know about and also the scopes of these hit types in order to send the data in and the right way.
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The main challenge for a data science team is to decide who will be responsible for labeling, estimate how much time it will take, and what tools are better to use.
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Now a day's mobile became the central part of everyone's life. This shows marketer to exploit mobile generated data to deliver delightful experience to their customers. The connectivity through the mobile devices using different mobile apps can tell more about consumers' needs, expectations and behaviors.
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Circa 1997, the reigning world chess champion Garry Kasparov was against an unknown opponent. The opponent was formidable. Garry was not playing a human. He was playing the game with IBM's behemoth supercomputer, Deep Blue.
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With the growing awareness about big data and data analytics, it has revolutionized many industries. Logistic is another field which is going to see transformations with the application of big data analytics in its process.
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As we know use of technology improves the efficiency of processes. Application of Block Chain in Supply chain Management will ensure transparency and efficiency in the whole process starting from inventory management to record keeping to vendor management to product distribution to the end user.
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If you are planning to visit Japan needn't to be panic because you have a companion with you named RoBoHon. It will be a helpful companion that can take photos for you and even dance on command. Whereas Amazon's Alexa and Apple's Siri focuses on giving you the necessary information like updates for news and weather, whereas RoBoHon manufactured by sharp, is made to be a companion for you.
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There are many questions which comes in our mind like How to build career in the recent technologies, how should we begin our career or are their any certifications that will add value to my skills and knowledge.
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When machines are connected to internet, we start getting real-time data in large amount. That real-time data is not only helpful in the Descriptive analysis but also helpful in understanding the behavioral patterns to get predictive and prescriptive analysis which means what will happen and actions we have to take. In short, with the emergence of IoT, the whole equation has transformed. Now we can leverage this data in our daily job to get best possible outcomes and also understand where their time and money are spent. So that we can use the resources in an effective manner hence wastage can be minimized.
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The voice, identifying technology behind devices, such Alexa, and numerous other voice-enabled devices are well at deep learning. So what is artificial neural networks? They are computer programs that empowers the machines to learn and some of the computation that goes on in our brains inspire them.
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For beginners and students to have better understanding about the emerging technologies and charity about the artificial intelligence, one need to understand the basic terms, concepts related to it.
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Data is gold, The amount of digital data in the universe is growing at an exponential rate, doubling every two years, and changing how we live in the world. Big Data is surely a big deal. Data has replaced oil as the world's most valuable resource. Data can help us achieve tremendous things on both the levels ie individual and businesses, and as a society. But to extract the best value from data, you need to be using the best techniques and the best technology
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One thing that all AI researchers agree strongly on is that when the singularity happens one of two extremes will happen - the human race will either become extinct or become immortal. When creating AI we are essentially creating a god, and we can t know if it will be a kind god or an evil god until it s too late. This is because the AI will be so many magnitudes smarter than us, so our puny minds can t even begin to imagine what a being of such supreme intelligence would be interested in.
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Before the AIs do take over and your brain becomes irrelevant, you should make the most of it whilst you still can. From our perspective, as a species, we feel like we are supremely intelligent, compared to our more primitive animal cousins. But in reality, humans are only fractionally more intelligent than say, an ape. But that tiny fraction of increased intelligence has allowed us to develop tools, language and thus civilization
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Our world is altering in many ways and one of the effects, which is going to have a huge influence on our future, is artificial intelligence, AI bringing another Industrial Revolution. Previous industrial revolutions depleted humans mechanical power, this new revolution, this second Machine Age, is going to expand our cognitive abilities. Our mental power computers are not just going to replace manual labor, but also mental labor.
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AI will take over the world. Most people are unaware at the phenomenal rate that our AI systems have improved over the past five years and the trend is only getting steeper and steeper.
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