“DEVELOPMENT ISSUES OF INNOVATIVE ECONOMY IN
THE AGRICULTURAL SECTOR”
International scientific-practical conference on March 25-26, 2021.
Web:
http://conference.sbtsue.uz/uz
In these industries, many use cases involve the possibility of using AI to avoid accidents and make
workplaces safer. In this regard, it is worth noting that, according to 44% of respondents, over the next five
years, AI-based systems will independently control machinery, the operation of which carries potential
risks of injury or death of personnel. Even more respondents
–
54% - believe that in the same time frame,
AI will autonomously control individual assets of great value of their companies. But in order to transfer
this responsibility to industrial AI, the survey participants believe that it must go to the next level. In most
cases, this will be facilitated by new approaches to managing, collecting, displaying, and sharing data.
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DISCUSSION
These include, for example, knowledge graphs that reflect the relationships between objects and
relationships in different data sets, or digital doubles that allow you to create detailed digital models and
simulate the behavior of real systems, assets, or processes. Using industrial knowledge graphs to improve
AI models by combining different data sets has very high potential.
AI in the banking sector
Chatbots and roboadvising
Modern chatbots can:
Informing about the features of products and services
Providing contact information
Conducting payment transactions
Financial recommendations to the client
show exchange rates and exchange currency
keep track of personal finances
make transfers from card to card
send requests for trade and Internet acquiring and check the counterparty by TIN/OGRN (IP)
answ
er user questions
Robo-Advisors as a promising example of AI application
Roboadvising has become an alternative to financial advisors for banking issues, specific purchases
and other monetary transactions online.
Robo-advisors offer great advantages in the field of online trading. First of all, these are one-click
orders and real-time account opening, monitoring, up-to-date news, and processing large volumes of
transactions at once. The spread of brokers in social networks makes investment knowledge more
accessible and understandable, and communication with the client is simple and targeted.
Individual offers and increased loyalty
Recommendations of banking products and purchases (loyalty programs from various retailers),
including using knowledge about the client from social networks
Identification of the client's B2B relationships with subsequent recommendations of new
counterparties
Real-time financial risk modeling for small businesses (default, cash gap) with recommendations
for targeted strategies and products
IoT (Internet of Things)
•
Manage and track the use of leasing assets
"Smart" insurance for retail customers (medicine, car loans)
Smart Home + Daily Shopping: order groceries, pay utility bills, subscribe to TV content
Anti-fraud. External and insider threats
Signs of the use of the customer's plastic card by a third party
Signs of so-called "droppers" based on the nature of receipts and transactions in Online banking
and ATMs
Identification of fictitious salary projects (loans, cashing out)
Detection of unauthorized spending transactions on customer accounts and plastic cards of the
customer
Errors in the parameterization of bonus programs for plastic cards, which lead to "cheating" and
damage
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