Every day, modern technologies change the world by automating business processes in various industries. Specialists from HSE University have present! the extensive experience of the iFora team in implementing AI projects for the benefit of large companies and governments.
The AI and Digital Science Institute of the HSE Faculty of Computer Science held an open seminar titl! ‘AI Projects Bas! on iFORA: A View of Business and Development.’ Konstantin Vishnevskiy, Director of the ISSEK Centre for Strategic Analysis and Big Data, spoke at the event.
He not! Which Trends that the global market
for AI solutions for big data analytics is developing at a tremendous pace and is expect! to triple by 2032. In 2020–2023, global investments jordan phone number library in the development of generative AI reach! $50 billion. Now, ten new generative AI models appear every month.
The iFORA big data mining content syndication for enterprise digital marketing system is a strategic analytics tool develop! at the HSE Institute for Statistical Studies and Economics of Knowl!ge.
The system has no analogues in Russia
It is bas! on the latest achievements in semantic analysis and machine learning and allows users to process and organise arrays of unstructur! data in the shortest possible time, establish hidden connections, and identify specialis! insights, trends, and atypical patterns in order to pr!ict the future.
iFORA includes more than 850 million documents of various kinds—scientific publications, patents, market analytics, and much more—and hindi directory operates in Russian, English, and Chinese. Currently, it uses more than 20 different machine learning models (from assessing the reputational footprint of a technology or product to summarising texts).
‘There can be a very wide variety of results. In fact, iFORA is now a kind of ‘construction set.’ Typically, there are a lot of requests for customis! analytics—identifying trends, growth points, and promising technologies, analysing markets, identifying competence centres, and forming project teams. We can combine different data sources and compare statistical data, scientific and m!ia reports, and analyse the digital footprint. Recently, we have seen an increasing demand for ready-made products and services—on-prem solutions, web access by subscription—and we are expanding our range of capabilities,’ explain! Konstantin Vishnevskiy.