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Showing posts with the label Tech in Business

How Augmented Reality Can Transform Your Startup

Article by Eshita Nandy . Augmented Reality (AR) is taken into account as a way that mixes a live view of varied things in real-time with virtual computer-generated images, creating a real-time ‘Augmented’ experience of reality. It's been one of the most important sectors of research for many years by scientists. Augmented reality seems like the technology of the near feature. AR is going to change how business is done completely.  The core advantage of business in using augmented reality for smartphones and tablets is that the hardware is available, and the usage is intuitive and easily understandable by the average consumer. Augmented reality can be applied to various industries as and when required. Augmented reality has been a hot topic in software development circles for several years, but it’s getting renewed focus and has been in the spotlight because of the development of products like Google Glass. While, AR has helped development of highly addictive game

How Data Science Can Boost Your StartUp

Data science is no longer the privilege of big technology companies. It has been a part of almost all offline and online industries. Abstract Focusing on innovation and implementing a smarter work plan is the only way to lead a startup towards success, and adding data science consulting would be a wise step towards it. This article will speak on how data science can help startups be successful with their specific goals. It will also help all professionals, founders of start-up companies and especially beginners in this field learn how to implement advanced data science technologies in a start-up and provide examples of profitable data-driven solutions out there. Article by Eshita Nandy. Introduction Data is an integral part of almost all industries whether it be technical or non-technical. Starting from the healthcare industry to the manufacturing industry, data science is quite popular nowadays. Many large scales, as well as small scale industries, are using pre