Machine Learning Solutions

01 - The challenge

The challenge

Today's data-driven expectations place an increasing demand for the application of an integrated automatic decision model based on machine learning in the case of modern software. During its complex learning, Machine Learning (ML) can confidently absolve complex decision-making processes in hundredths of a second, which consumes extra time for human control and often presents the operators with an opaque, complex consideration situation, and cannot serve even a sudden increase in demand in this way. By applying ML, operators can receive decision-supporting information or outsource it entirely to machine learning, which greatly speeds up and facilitates their work.

02 - The solution

The solution

AWS’s ML portfolio provides effective and innovative solutions for typical machine learning problems as well as unique learning problems. For typical problems such as time-based prediction for statistical data, image content filtering and moderation, and many other areas, we can use pre-trained, high-accuracy models by calling programming interfaces in AWS. These interfaces are closely integrated with other AWS components, so for example, by using the TC2 Serverless accelerator, the ML function can be included in an easily integrated system. If the ML function is of a special, non-typed nature, AWS Sagemaker provides optimization tools for the entire life cycle of ML development and follow-up.

AWS Bedrock provides users with a generative AI platform with an ever-increasing number of AWS and 3rd party developed Large Language Models (LLM) available for use-based, immediate deployment. The support for independent providers, complemented by the transparent and secure data management model already familiar from AWS, provides a reliable environment for a company of any size and industry to test and deploy generative AI projects in a productive system.

TC2 can also support the early planning, implementation and operation phases based on proven best practices.

Related case studies

Bauer Media

Media & Entertainment

Bauer Media wanted to use AWS to create analyzes from the customer data of the price and product comparison portals it owned to improve its marketing activities.

ERBA – TE Food

Food

Erba was looking for an agile platform that provided standard operation, easy integration, low-cost operation, and fast and global scalability.

Richter

Pharma

Extending business and professional activities, Richter Gedeon acquired a gynecological application. The product was developed onto AWS, and they sought expert support for its hosting.

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Other solutions

TC2 MigrEase – the migraine free migration solution

The use of cloud computing and digitalization is a prerequisite for improving the efficiency of business operations, the ability to adapt to market changes, the development of elasticity agility and optimal cost structures.

DevOps

Automation is the key to the efficient functional expansion and operation of IT systems. Whether it is the development of a new function, preparation against attacks or other operations, the possibility of automatically building application environments, the automatic testing of our application and the promotion of versions between environments with minimal human intervention are now basic expectations in terms of competitiveness.

Financial Services

The financial sector is one of the slowest-changing, most conservative industries with a century-old history. The need for high levels of security and to adapt to market processes is made more difficult by the significant investments required to digitally transform, modernize infrastructure, embrace agile methodologies and embed a culture of innovation. All these complicate and slow down the transformation and modernisation needs of the sector and can have a significant impact on operational efficiency, customer experience and overall competitiveness.