Cloud analytics

tc2-megoldasok-workshopok

01 - The challenge

01

The challenge

Today, more and more companies are turning to predictive analytics and artificial intelligence to turn available information and data into business advantage. However, launching a data and AI project with traditional tools can be a time- and cost-intensive process: it can require a large investment to procure GPU-powered servers, supporting software, build the development environment, and then secure and manage this productive environment with appropriate security and redundancy.

02 - The solution

02

The solution

AWS offers its customers one of the broadest portfolios of machine learning and AI services from any current provider.
Amazon SageMaker enables developers and data scientists to quickly and easily build, train and deploy machine learning models of any size. It simplifies the complexities that hinder the successful implementation of machine learning across use cases and industries. For AWS services, we can lease a fleet of servers with state-of-the-art GPU capacity on a per-second basis, ensuring efficient utilization of hardware versus a physical server.
AWS AI services can be easily integrated with applications to address use cases such as personalized recommendations, contact center modernization, improving security, and increasing customer engagement. The same deep learning technology that powers Amazon.com can be used, and an added benefit is that AWS AI services do not require machine learning experience. AWS data warehouse technologies can efficiently and cheaply scale to search on petabyte volumes of data. TC2 helps you design and build data warehouses and data lakes, and Amazon SageMaker helps you quickly build machine learning models, teach the model, and deploy it.

Areas where AWS can help:

  • Recommendations: customise your shopping experience
  • Forecasting: create accurate forecasting models
  • Image and video analysis: add image and video analysis to your applications
  • Document analysis: automatically extract text and data from millions of documents in just a few hours
  • Voice: converts text into lifelike speech, so you can add voice to your applications
  • Translation: increase your reach to a larger audience with efficient and cost-effective translation
  • Fraud prevention: identify potentially fraudulent online activities based on technology used by Amazon.com

Related case studies

Sorry, no posts matched your criteria.

See our other case studies!

See more→

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.

Read more →

Machine Learning Solutions

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.

Read more →

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.

Read more →
See more→