This document describes a set of customer feedback data concerning the Post Bank. We collected data from 16,659 feedback lines using the Beautiful Soup package from the authoritative site banki.ru is selected as the source of data for collection. The dataset is compiled to monitor the level of trust of bank customers in its banking service. The data presents text reviews for 2013 - 2019 and includes, with or without ratings. Scientists can predict feedback ratings with an empty value in the future. We added additional columns to the dataset with official comments of bank employees, as well as values for the fog-index by Gunning parameter, which is used for the readability of the text. The data can be useful for customer service managers to identify problems in customer service and solve these problems, to assess the dynamics of the appearance of positive and negative reviews of bank customers.
The fishery industry supports the food security of the State, provides a livelihood for a significant proportion of the population of our country and ensures their employment, and this will continue in the foreseeable future, provided that the industry is effectively managed. One of the most important areas of state management of the fishing industry in Russia since 2016 is the restoration and strengthening of the technical potential of the industry. The article examines the current state of the production and technical potential of the fishing industry, identifies problems and suggests mechanisms for strengthening the technical potential of the industry. At a time when the production of fish products is growing, it is critically important to increase the technical potential, while it is necessary to take into account the ongoing structural and systemic changes in the fishing industry.
The paper presents an overview of foreign practices of using artificial intelligence (AI) technologies in fish farming or aquaculture. It is noted how effective the management of a fish farm can become if there is access to new information that would have gone unnoticed without the use of artificial intelligence. Taking into account the fact that the pace of development of aquaculture in Russia is very insignificant and significantly lags behind foreign analogues, and also taking into account the active processes of digitalization of all spheres of the economy in our country, it seems that a review of foreign practice of using AI in aquaculture will further create its own resource base in the direction of AI for the agro-industrial sector.
Every year, the world’s reserves of aquatic biological resources are depleted, so the breeding and cultivation of fish, shrimp and shellfish becomes a reliable way to provide the population with enough fish and seafood. Recently, aquaculture has faced serious problems, including limited species diversity, labor intensity of technological processes, environmental pollution, fish diseases and others. For its reproduction, the latest technologies are needed to increase the production of products and the efficiency of business processes. The latest technologies, including artificial intelligence, aquaculture recycling systems, alternative proteins and oils to replace fish meal and fish oil, blockchain for marketing and the Internet of Things can be a solution for sustainable and profitable development of aquaculture. The article provides an overview of some of the latest technologies, and also discusses the possibilities of integrating these technologies into aquaculture for the breakthrough development of the industry.
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