With our expert team in data, we develop solutions for our customers with advanced analytical techniques and domain knowledge expertise. We provide a competent infrastructure for data processing regardless of data type and size and we open the door for the transformation of data into advanced analytical solutions that will take business decisions to a higher level. The solutions we provide are being improved every day, deepened with various R&D projects, and blended with innovative perspectives to bring new experiences to customers and the industry.
With GTech Advanced Analytics and Artificial Intelligence solutions, we build your future on the right structures and ensuring that you make the right decisions with the most up-to-date technologies.
Artificial intelligence, machine learning, deep learning, and advanced analytical techniques are having a significant impact on data science projects by enabling data scientists to extract insights and make predictions from large and complex datasets. However, the data science techniques used require a lot of computational power and can require large amounts of data to train the models. In addition, it should be remembered that these techniques are not magic bullets and may not always be the best solution for a particular problem. Data scientists need to continue to use domain knowledge and critical thinking to evaluate results and interpret forecasts accurately.
Artificial intelligence, makes it possible to make inferences from data and make intelligent predictions by using mathematics and statistical methods. It processes information in the light of the reaction, output, decision, facts and rational decisions that occur. Machine learning, on the other hand, is an important milestone in reaching artificial intelligence.
Advanced Analytics, provides results far beyond the capacity of traditional Business Intelligence tools in analyzing data or business information. Techniques such as predictive modeling, statistical methods, machine learning and process automation are used.
Deep Learning is an artificial intelligence function that is developed to create patterns to implement data processing and decision-making steps and mimics the work of the human brain.
Deep Learning requires huge volumes of networks and a large amount of data. These networks are called “deep” because they have many layers, unlike traditional artificial learning algorithms, which have only one or two layers. It is also a technique that has been implemented to apply machine learning.
Tekfen Holding, started monitoring macro indicator reports with
uninterrupted and near real-time data with Forex integration.
With the Vehicle Purchase Prediction Model Project, Toyota created personalized
audiences based on data and increased campaign conversion rates by 71%.