Data Science: new skills, new possibilities
As you know, many companies make huge efforts in order to adapt their businesses to mutable market conditions. In such a case, they need simple, yet scalable solutions to keep and increase their competitive advantages and ensure maximum ROI.
IT Svit is proud of its own inviolable strategy that aims to never give up and make the best implementation of any idea, so we are constantly learning and seeking for new sources of inspiration to let you benefit from our growing experience and creative insights.
Our latest achievement is related to data science, which means that our proficiency now includes the following areas, where we’re happy to provide you with any kind of support:
- data and text mining
- machine learning
- natural language processing
- data analysis and forecasting
Sounds weird? Perhaps. However, now, we can be at the origins of even more ingenious projects and implement the most fabulous ideas, related to data processing, decisionmaking systems, automated data analysis systems, stock exchange gamblers, etc.
Check our Data Science services and gain more with IT Svit.
Feel free to browse through the latest insights and hints on the DevOps, Big Data, Machine Learning and Blockchain from IT Svit!
10 principles of great customer service
The most valuable asset of any business is its team. And the most impactful action of any team is its interaction with your customer. Why is frustration the most frequent result of support calls?
Upcoming DevOps Conferences 2019
Huge DevOps conferences like AWS re:Invent, DevOps Days, QCon or Jax DevOps always attract lots of attention. We list the events you might want to attend in 2019.
Why perform a periodic IT infrastructure audit?
The product you run and the services you offer are supported by some IT infrastructure. Periodic infrastructure audit helps keep it in check — resilient, performant, reliable.
IT Svit deployment evolution — from 3 hours to 2 minutes
One of IT Svit products is Hurma — an integral HR & recruiting system we developed from scratch. This is the story of how we reduced its deployment time from 3 hours to 2 minutes.