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How Clustering of Big Data elevates Businesses

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Clustering is a machine learning technique which divides the data points into specific groups that holds similar attributes to their peers. The primary goal is to segregate the data points into groups and assign them into clusters. The clustering algorithm classifies each data point based on today’s available technologies and frameworks. Clustering is a well-known technology which processes huge amounts of data. The clustering algorithms in big data solutions company focuses on optimization problems in a business. For example, an algorithm can assist in analyzing the same patterns of fabrics and groups together to create a textile product accordingly. They can differentiate a group from other groups depending on the characteristics like same colors with different patterns, different colors with identical patterns. The core part lies in identifying the specific elements by big data solutions which don’t share any of the characteristics. The strategy should work where the same data set

The Relevance of AI’ded e-Publishing

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From the time the printing press came to existence, publishing industry fluttered dramatically around the world. Though China was the first to print books, it was Germany who introduced the printing press to the world transforming civilization forever. Fast forward to a few centuries, when artificial intelligence service debuted into the publishing industry, we were in no doubt about AI creating a loud thunder yet again. The cutting-edge digital technologies of AI leads to huge productivity and unique business models. Automation and digitization of AI are implemented in the publishing industries regardless of its size. Additionally, it helps in publishing with text analytics, predictive analytics, translation, demographic analysis, text tagging and many more. When referring to AI service, there seems to be a contradiction as many assume it to be automation. In reality, AI development services play a better role through machine learning in the publishing industry with positive outcomes

Reinventing Retail Industry with Computer Vision

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A girl in a green scarf – we are pretty sure most of our minds triggered the thoughts of “Confessions of a shopaholic”. How is it barely relatable to computer vision one might ask. It is in view of the fact that just like the protagonist of the film, a lot of people feel retail shopping is an investment and not every investment has to yield returns in the form of money. It is all about the experience. Let’s time travel to the past decade along with the movie and compare what changed in the retail outlets. Humans need faster solutions and are all about speed. E-commerce websites serve as one huge advantage for them. However, what none realizes is that it has led to a huge plunge in the retail industry. While some retail outlets have become bygones, others have adopted new technologies with a wide range of innovations to thrive with the ever-evolving shopping spree or retail therapy of the customers. This has led to the upsurge of retail shopping. It is soaring high in sophisticated

Impact of Tokenized Assets in Business Environment

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Impact of Tokenized Assets in Business Environment From gold, art, buildings to energies and shares, the amount we invest in assets is an ever-evolving action by people. The arrival of asset tokenization makes it easier for people to make small investments into a huge market. They purchase shares of different sizes according to their affordability. The tokenized asset is a security token that is represented digitally as a real tradable asset. It is portrayed as a share of a company or as ownership for a piece of land or gold or energy. Further, it illustrates their participation in an investment fund. The  digital transformation consulting services  help in tokenizing the assets. Asset Tokenization The concept of asset tokenization platform refers to a process of distributing a token that represents a fragment of the asset digitally. These fragments of assets can be owned by n number of people for equity of the land property, gold, energy mine, etc… It helps in reducing the

A Manual on Context Analysis in Natural Language Processing

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Millions of tweets are processed every day by data analysts to understand the concept of “how people feel”. But, the utilization of context analysis in data analytics services tells why people feel that way. A practical natural language processing in an AI system must be good in making disambiguation decisions of word sense, word category, syntactic structure, and semantic scope. A Statistical NLP strategy seeks to solve these problems by learning lexical and structural preferences automatically from corpora. Concepts of NLP Applications In Business People’s expressions need to be read and understood well where stemming and lemmatization works with root forms of multiple variations. Those variations include Fuzzy matching, Phrase matching and Paraphrase detections. This involves operations like string or word representations. The number of such operations is determined based upon the extent of coverage requirement in a step versus performance cost. SpaCy is an open-source l

Decoding the AI Powered Chat Bots in Healthcare Industry

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Decoding the AI Powered Chat Bots in Healthcare Industry The hype regarding chat bots started when Mark Zuckerberg declared in F8 conference held on April 2016 that messenger would feature chat bots from outside brands. The myriad of industries facilitated customers by implementing them in their respective domains. Specifically, healthcare industry is on the road to success by creating varied AI powered Chat Bots. The interesting fact is that the first ever of those called ELIZA was an online electronic healthcare therapist. It is an early Natural Language Processing Program launched in 1966 assisting people with their depressions and different emotions. What is an Artificial Intelligence (AI) Chat Bot? Chat Bot is a standalone conversational software providing services through messenger applications.  Artificial intelligence healthcare Chat Bot system  enables human to request information in voice-based, image based and text-based format. The earlier versions of AI Chat Bo

A Quintessential Guide on Artificial Intelligence in Medical Imaging

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Life becomes simpler when Artificial Intelligence finds its way in real world scenario. AI is on the rise across varied industrial domains. Healthcare is one of those domains where it paved its way as a perfect epitome in the past two decades. Be it surgical robots, health monitors, drug creators, digital consultations, virtual nurses, image processing, the artificial intelligence assists the lives of patients, doctors and administrators precisely. Creating a Difference in Healthcare: In the healthcare domain, Artificial Intelligence Consulting has become a promising attribute for the patients in every walk of life. The AI development services uses the Machine Learning technology and predicts the right treatment for the patient based on their medical history instantly. The NLP (Natural Language Processing) helps by interacting with patients using text, voice and semantic analysis to diagnose their health issues. The Rule Based Expert systems helps by adopting with the