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 Bankir.ru, an information portal.
Comments / Post
14.05.2018
Moscow, April 26, 2017 - Innodata and RAMAX Group held a workshop “Taming Social Networks: Machine Learning on the Guard of Reputation” for representatives of major financial institutions and trading corporations. Innodata’s experts, Executive Director Alexander Sergienko and Product Owner Konstantin Shabalin, presented an innovative Social Network Content Monitoring and Analysis System (SMACSS). They shared with the audience their views on how social networks can be effectively and profitably used for business, not only to track news events and any mentions about the company, but also to correctly analyze the received content, attract new and retain existing customers, mitigate reputation risks, and respond quickly and efficiently to various abnormal behaviors.
Moscow, March 20, 2018 - Innodata announced the market launch of its proprietary solution “Social Network Content Monitoring and Analysis System”. The growing diversification of business, the emergence of new brands, and the attempts of companies to enter new markets make it necessary to effectively study the market and obtain maximum information about potential customers to make right decisions and adopt correct strategies in non-standard or crisis situations. The Social Network Content Monitoring and Analysis System helps doing this by automating the continuous process of collection and predictive analytics of a large array of disparate data coming from customers in social networks. The technology employed is an Enterprise platform, the key features of which are the ability to adapt to the end customer’s preferences and requirements, off-the-shelf connectors for various industry platforms, wide integration possibilities, and connection of additional modules.
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.
Comments / Post
12.03.2018
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.
Comments / Post
27.02.2018
Innodata presents the Intelligent Pricing System designed for automated and accurate forecasting and balancing of prices and rates. The solution will be in demand among developers in construction, retail, transport and logistics companies and large service organizations with a constant range of services.