01 - The challenge
02 - The solution
AWS offers the widest range of machine learning and AI services to its customers.
Amazon SageMaker allows developers and data scientists to quickly and easily create, teach, and deploy a machine learning model of any size. It eliminates the complexity that hinders the successful implementation of machine learning in individual application cases and industries. For AWS services, we can rent a server park with state-of-the-art GPU capacity on a per-second basis, which ensures efficient use of hardware over a physical server. AWS AI features can be easily integrated with applications to handle usage cases such as personalized recommendations, upgrade your contact center, improve security, and increase customer engagement. We can use the same in-depth learning technology that supports Amazon.com. An additional benefit is that AWS AI services do not require machine learning experience. TC2 helps Amazon SageMaker, quickly compile, learn, and deploy machine learning models.
Areas where AWS can help:
- Recommendations: you can customize your shopping experience
- Forecast: Create accurate forecast models
- Image and video analysis: Add image and video analysis to applications
- Document Analysis: Automatically retrieves text and data from millions of documents in as little as a few hours
- Voice: Converts text to lifelike speech so you can give sound to applications
- Translation: To reach a larger audience, you can increase your reach with fast and cost-effective translation
- Fraud Prevention: Identify potentially fraudulent online activities based on the technology used by Amazon.com
Related case studies
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
Erba was looking for an agile platform that provided standard operation, easy integration, low-cost operation, and fast and global scalability.
Richter Gedeon has requested expert support from TC2 for application hosting developed for AWS.
See our other case studies!
The cloud is the engine of today’s innovation, the foundation of the digital transformation. In many cases complex interconnected systems need to be migrated to the cloud which can raise a number of issues. The architecture and life cycle of traditional applications as well as the associated cost models and operational processes in the cloud may require optimization and redesign.
Cloud optimization (DevOps)
With the move to the cloud, the development and maintenance processes and habits also change, and efficiency gains a new meaning. The size and type of companies also determine what efficiency goals arise, and these can be achieved by DevOps, ie a set of infrastructure and application development tasks.
Support and Operation services
The project never ends with implementation. Operation, system availability, operational support, and ongoing improvements and modifications during operation make the picture complete and the system or application truly usable.