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Protecting a company from leaks by employing personal neural networks entails building and utilizing self-developed artificial intelligence systems to secure confidential information.

Employee leverages ChatGPT for document summarization and responds to queries by quoting text; NetAngels director outlines measures to curb this practice.

Employee Utilizes ChatGPT to Summarize Document, Later Answers Queries with Text Excerpts; Insights...
Employee Utilizes ChatGPT to Summarize Document, Later Answers Queries with Text Excerpts; Insights from NetAngels Director on Prevention Strategies.

Protecting a company from leaks by employing personal neural networks entails building and utilizing self-developed artificial intelligence systems to secure confidential information.

Small and medium-sized businesses (SMBs) in Russia are jumping on the AI bandwagon, with nearly half regarding neural networks as beneficial for their work, and a third of leaders already incorporating AI-based tools into their operations. According to a NAFI study this year, this is a growing trend in the Urals region, where companies are increasingly interested in both publicly available solutions and in-house applications to maintain data confidentiality.

To deploy neural networks, hefty equipment is required, such as virtual servers with video cards, which NetAngels is now offering for rental. With these capabilities, businesses can leverage AI for a variety of tasks.

Reasons for the AI boom

Initially, neural networks seemed like a tool reserved for IT companies and scientists. But two years after the launch of ChatGPT, businesses are embracing large language models and reaping the benefits.

Social Media Management (SMM). Specialists in charge of a company's online presence have long been using AI to write texts, create content plans, and generate images and videos. YouTube hosts hundreds of thousands of channels where content is churned out by neural networks, with humans simply overseeing the process. With a bot, tasks like managing social media and creating website content can be automated, saving time and effort.

Data work. AI can help employees digest large amounts of information, such as industry reports, technical documentation, regulations, and scientific articles. By summarizing or extracting key points, AI can save valuable time and mental energy. Furthermore, AI can analyze communication between call-center or support service employees and clients. This can help companies identify common problems and assess the effectiveness of their operators.

Competitive Analysis. Neural networks are fantastic tools for monitoring competitors' news. They can analyze data about competitors' products, prices, and marketing strategies, identify trends, and offer valuable insights. Previously, this task would require several highly-paid professionals, but AI can now accomplish it in an hour.

Client and Partner Communication. AI can help gather information about clients and partners from social media, find useful facts, and identify shared interests. AI can also create a database and automate communication with clients, alleviating the workload of call-center and support service employees.

What's Halting Growth

Though there are plenty of neural networks available for various tasks, challenges persist. In Russia, popular solutions like ChatGPT are inaccessible due to sanctions, complicating work for specialists. Additionally, using third-party neural networks for continuous work, especially with commercial information, can risk data leakage, as these models use data from websites, social networks, and user queries, with some contract language possibly allowing the information to be used for training.

To ensure data privacy, SMBs can deploy their own neural networks. While it may seem daunting to create in-house solutions based on AI, given the skills gap, open-source projects from companies like Meta (banned in Russia), Mistral AI, Cohere AI, and more, offer easy-to-use solutions. As long as your equipment meets the system requirements, an IT specialist with average skills can handle this task.

The most important aspect of deploying neural networks successfully is access to powerful computational resources. If buying the necessary equipment strains the budget, cloud servers can provide a cost-effective alternative. By deploying solutions on their own infrastructure, businesses can guarantee data security and adapt AI to their specific needs for optimal benefits.

  1. Despite the availability of various neural networks, the growth in Russia is hindered by sanctions that make popular solutions like ChatGPT inaccessible to specialists.
  2. To mitigate this challenge, a growing number of small and medium-sized businesses (SMBs) are considering deploying their own networks in 2022, as it offers the advantage of maintaining data confidentiality.
  3. Vkontakte, a popular Russian social network, might be a potential option for these businesses, as they can rent virtual servers with video cards from NetAngels to deploy neural networks.
  4. However,it's not sure whether the average technology and resources available to SMBs are sufficient for deploying and managing these advanced AI-based systems, especially when considering artificial-intelligence,data work, competitive analysis, and client and partner communication tasks.

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