Development

AZN will help introduce AI into your existing business model. The benefits of this adoption process largely determined by the nature of your enterprise and existing IT infrastructure. Important to note that AI and ML powered solutions integration depend on the ability to gather data – the more the better. Thus, whether you manage an international ecommerce portal, digital publication or a financial institution, the takeaway point is - if you can provide data already gathered by your applications then there are multiple advantage vectors for implementation of AI-powered solution.

Below are examples of the most frequent benefits gained by our customers after AI-powered solution integration;

• The ability to search for hidden models within dynamic systems. A dynamic system is a complex object that is influenced by many factors, each of which can change the degree of its influence on the object. An intellectual algorithm may in some cases replace a full group of qualified financial analysts, security specialists, surveillance center operators, database operators.

• The speed of decision-making by intelligent expert systems, which can be hundreds, even thousands of times faster than the speed of decision-making by a specific person.

• The absence of an emotional factor in decision making, specific to all types of specialists.

• The ability to dynamically adapt to changing conditions and to change the list of factors affecting outcomes. The fifth advantage is the ability to combine multiple algorithms, allowing one to self-learn and dynamically modify systems that can provide a wide range of services to a given organization.

Intellectual algorithms in finance can serve as financial advisors for investment or credit policy, as stock indicators to determine investment potential, analyze volumes and price movements. In addition, smart financial advisors are able to assume the role of security specialist: track suspicious financial transactions based on the behavioral patterns built by system users, reducing the number of financial frauds and unsatisfied users.

Your benefit: reduction of the cost of financial analysts, acquisition of prognostic functionalities to increase the percentage of profitability, search for hidden investment links to optimize the investment policy, reduction of accidents related to financial fraud.

Intelligent logistics algorithms will reduce product transportation costs and solve many other logistical issues related to moving objects. In addition, it is possible to create simulation models for moving objects of different types, to train operators of monitoring terminals or to obtain combinations of the occurrence of events.

Your benefit: reduction of transport costs, development of delivery plans for the future, acquisition of a tool to train surveillance operators without interacting with real objects, obtaining a wider range of possible coincidences of circumstances.

Intelligent metrics algorithms identify weaknesses in software products by collecting data about user behavior in the system. As a result, it is possible to optimize the interaction of users with the system, which will be a consequence of the increased number of conversions and the satisfaction of potential customers.

Your benefit: increase the conversion rate, increase the percentage of satisfied users, thus increase the income from the sale of the product.

Intelligent predictive algorithms allow the analysis of historical data in conjunction with dynamically changing real-world data, by constructing predictions of the behavior of the object in question in the future. The object of the study can serve as a set of moving objects, social interactions, product sales plans, etc.

Your benefit: widen visible horizons, develop plans for various behavioral situations.

If you have not found the use of smart algorithms in your system, but want to benefit from their integration, contact us and we will perform a full analysis of the need for their application.

Intelligent algorithms are, in many cases, practical alternative techniques for tackling and solving a variety of challenging business problems. The process of implementing intelligent algorithms includes the following steps:

• Analysis of the need to use neural networks, genetic algorithms, expert systems, logistic algorithms

• Parametric sampling (basic parameters affecting the result)

• Design and development of a smart system

• Support and additional product support

Intelligent control based on Intelligent algorithms is a class of control techniques that use various artificial intelligence computing approaches like neural networks, Bayesian probability, fuzzy logic, machine learning, reinforcement learning, evolutionary computation and genetic algorithms. These controls applied to business models provide insight and foresight to key factors affecting your business processes.