Innotech (part of T1 Holding) presented new AI-powered products at the St. Petersburg International Economic Forum (SPIEF) that took place on June 14–17. At SPIEF, Dmitry Kharitonov, the сompany's CEO, was joined by business leaders to discuss ways to achieve digital sovereignty, ensure security, build alliances, as well as optimise and boost the efficiency of business processes in the new circumstances.
Digital sovereignty and security across all sectors of the Russian economy have been one of the hottest topics discussed at the forum. Representatives of the public sector and the IT industry debated ways to achieve these goals, as well as possibilities of forging alliances, in a discussion organised by RBC. Dmitry Kharitonov, CEO at Innotech, was in attendance.
“Financial, power generation, communications, transport and manufacturing companies are rapidly adapting to new technologies. At the same time, it is important to tackle the challenges of building critical infrastructure and ensuring cyber security in an open dialogue with the market, partners and industry associations. Technological alliances need to be forged, knowledge and experience pooled, and responsibilities and costs shared. This will allow companies to introduce complex ideas seamlessly in the shortest time possible,” said Dmitry Kharitonov, CEO at Innotech.
Innotech also announced two new AI-powered IT products. One of them is an investment portfolio optimiser. This is a module of the Digital Banking Platform (DBP) that helps identify the highest potential return with minimal risk. The optimiser generates recommendations for investors, helps increase return on strategies and creates personalised recommendations for limited capital.
The second product is Cryptoenclave. This is a secure computing platform that allows you to download data from various sources and develop model services based on this data without actually accessing the data itself ('blind learning'). In Cryptoenclave, data is encrypted and stored in such a way that humans have no access to it. Forecast data is extracted from a shared array and models are built by AutoML algorithms. Currently, a prototype of this solution is at the testing stage. Models generated by Cryptoenclave can become the foundation of new customer services, personalised offers and targeted communications.
Earlier, Innotech presented another solution, the Mirion graph platform for scoring customers and minimising the risk of fraudulent transactions. The tool tracks legal, economic and beneficiary relations, analyses hypotheses regarding fraudulent schemes and helps detect suspicious data. It uses graph algorithms to scrutinise all data related to the customer and their environment.