The digital transformation is driven primarily by the data. So today, companies are searching for as many opportunities to gain as much value from their data as they can. In reality, in recent years, machine learning (ML) has become a fast-growing force across industries. ML ‘s effect on driving software and services in 2017 was
Read MoreBefore discussing futuristic applications of computer vision in healthcare, let us talk a little about how computer vision works. Although the ability to make machines “see” a still image and read it, is related to human’s ability to see, the machines see everything differently. For example, when we see a picture of a car, we
Read MoreAfter Industrialization in the 20th century, Digitalization is one hot topic and an ever-changing environment. From your smartwatches to Android-powered TVs and wonderful IoT applications. Out of all important aspects for emerging technologies, Data is one of the deciding factors. We now have dedicated teams and departments to utilize the Data, for the purpose of
Read MoreFew biometric innovations cause creativity, like facial recognition. Equally, its launch in 2019 and early 2020 has caused profound doubts and unexpected reactions. But later on, something on that. Within this file, you can uncover the truth and patterns of seven facial detections, expected to change the landscape within 2020. Impact of top innovations and
Read MoreTo most, they consist of pixels only, but digital images, like any other form of content, can be mined for data by computers. Further, they can also be analyzed afterward. Use image processing methods, including computers, to retrieve the information from still photographs, and even videos. Here we are going to discuss everything you must
Read MoreAre you thinking of outsourcing AI requirement, when you are not sure of the value it can add to your business, during its initial phase of R&D. Whether it is the e-Commerce retail giants Amazon, eBay or an emerging startup, they all have one thing in common, the acceptance to technological advancements and the willingness
Read MoreMachine learning (ML) extracts concrete lessons from raw data to solve complex, data-rich business problems fast. ML algorithms iteratively learn from the data and enable computers to discover various types of deep insights without being specially trained to do so. ML develops at such a rapid rate and is driven primarily by emerging computational technology.
Read MoreArtificial Intelligence or AI in the pharma industry presents various opportunities to substantially improve the pace of drug discovery and distribution process. The current protocol followed needs to be upgraded in order to meet the rising demand for medicine and that too without compromising its quality. Advanced AI solutions will help pharma companies to process
Read MoreThe world is becoming smart, smarter than ever before. There are homes that know how to turn on the lights by judging their intensity and there are cars that can drive themselves. Isn’t it something like living in a sci-fi world? Everything that was imagined is turning into reality. Among all that we hear about
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