Big Data against COVID-19

The pandemic of the coronavirus infection COVID-19 has caused great interest in Big Data. Vast amounts of information help both monitor the spreading of the disease and plan prophylactic measures.
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Social media and Big Data: how to manage a company's reputation and handle customer reviews

Studying customer feedback in social media is similar to analyzing requests received through any other channel. However, reviews posted in social media bypass employees and are published immediately. They often have a positive connotation, but most frequently the tonality of reviews and comments is negative. A brand new niche obviously emerges: the data flow is immense, and, therefore, the technologies designed for handling Big Data should be employed to analyze this flow.
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Intelligent pricing system

Alexander Sergienko, Innodata’s executive director, described to the publishing house the advantages the Intellectual Pricing System provides.
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“Our goal is to teach a bank to use the opinion of social networks”

How important it is today for any bank to know what customers think of it, what customers say about the bank on social networks, how to monitor this information and develop analytics on its basis – these are the topics of the interview of Alexander Sergienko, Innodata’s Executive director, to, an information portal.
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Artificial intelligence now evaluates real estate

Today, competition in the construction industry is very strong and, as a result, the sales cycle is long, and significant efforts should be made to maintain the market value of real estate. In an unstable economic situation, it is very important to forecast demand correctly. Performing this process manually is not the best solution due to a high probability of making a mistake in pricing. State-of-the-art research is needed, which requires large investments and labor costs. Sales efficiency can only be ensured provided that a considerable number of factors are taken into account and calculations are error-free. It is a prerequisite for setting an optimal price and the getting the maximum profit. The best solution to achieve all of these goals is to use the innovative Intelligent Pricing System.
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IoT and IIoT: key differences between the two technologies

Nowadays, IoT and IIoT technologies have become widely popular. Consumer-oriented IoT (abbreviation of Internet of Things) and industrial IIoT (abbreviation of Industrial Internet of Things) are quite different, despite their names and a certain similarity between their top-tier concepts. The concepts behind these technologies have been developing in parallel while borrowing ideas from each other. Moreover, the similarity of the terms, IoT and IIoT, makes some people with small knowledge of the subject wonder why the latter does not penetrate our life as easily as the former. Is it because companies’ management teams are incompetent or reluctant to streamline production efficiency? To dismantle the myth, Alexander Drozdov identified essential differences between IoT and IIoT. The author does not aim at an exhaustive survey of the technologies, but the aspects mentioned below are sufficient for the business community to understand the difference.
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