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Datascience Platform
A cloud environment in which you can create machine learning models without being distracted by installing and configuring components and libraries using computing resources
Introduction
Data analysis continues to develop rapidly, more and more companies are investing in the development of expert competencies according to data.

Data experts are valuable and expensive specialists - they are selective in tools and overly autonomous in work.

A team of data experts needs a unified collaboration environment with the ability to calculate and train models using modern equipment.

Each company with more than 100 employees organizes its own data processing unit, and needs tools to increase its efficiency.
CLIENT PROFILE
TECHNOSERV Group
1992
FOUNDED
Russia
LOCATED
100 mln
FUNDING RAISED
$850 bln
PROJECTS SUPPORTED
TECHNOSERV GROUP, the largest Russian system integrator operating in Russia, the CIS and Europe, was founded in 1992. Technoserv's turnover in 2017 totaled more than $850 mln. The company's headquarters is located in Moscow, with regional offices situated in Krasnodar, Nizhny Novgorod, Novosibirsk, St. Petersburg, Khabarovsk, Vladivostok, Volgograd, Yekaterinburg, Tyumen subsidiaries in the CIS are in Almaty, Baku, Minsk, Tashkent and Yerevan. The number of Technoserv employees exceeds 2700.

Technoserv, the largest Russian system integrator operating in Russia, the CIS and Europe, was founded in 1992. Technoserv's turnover in 2017 totaled more than $850 mln. The company's headquarters is located in Moscow, with regional offices situated in Krasnodar, Nizhny Novgorod, Novosibirsk, St. Petersburg, Khabarovsk, Vladivostok, Volgograd, Yekaterinburg, Tyumen subsidiaries in the CIS are in Almaty, Baku, Minsk, Tashkent and Yerevan. The number of Technoserv employees exceeds 2700.
The focus areas of the company are system integration, cloud services based on Technoserv Cloud platform, Big Data, information security, Process Mining, computing complexes, network technologies, multimedia solutions and situation centers, DC infrastructure, etc. Moreover Technoserv Group develops its expertise in consulting and custom software development.
The Technoserv Group implements and develops engineering and IT systems based both on its own technological developments and solutions of the global leaders, including APC by Schneider Electric, Avaya, Cisco Systems, Dell EMC, Hitachi Vantara, HPE, HP Inc, Huawei, IBM, Juniper Networks, Microsoft, Oracle, VMware, etc.
The company's client list comprises major Russian companies and organizations from key sectors of the economy, including telecommunications, the public sector, oil and gas, manufacturing, transport and financial services. According to CNews Analytics, Technoserv is No1 in IT infrastructure complex projects implementation. Also Technoserv is one of Top 5 largest Russian IT companies (TAdviser, CNews Analytics, 2017) and Russian Consulting Groups (Kommersant, 2017).
FEATURES
Quick start and collaboration
The Data Science Workspace cloud platform includes everything you need to quickly start and collaborate with the Data Science team:
- Data management and modeling tools
- Work in a standardized environment
- Safe collaboration
- Increased data processing returns
FEATURES
Components
Cloud platform Data Science Workspace includes the best tools for advanced data analytics:
  • Jupiter Lab and Jupiter Notebook for interactive data manipulation, statistical modeling and machine learning.
  • Tensor Flow, PyTorch and more than 100 libraries for building various machine learning models, including neural networks.
  • Fast flexible access to CPU and GPU resources both in its data center, as well as in any other.
  • Ability to limit analysts by the amount of resources consumed, as well as control the load on computing power.
  • Ensure data security.
To have achieved the goal in such a condensed amount of time, with so many moving parts is a remarkable case study for anyone who is trying to pull something off like this.
Michail Blinov
Leader | TS Cloud
ENGAGEMENT
Our engagement with Ernesto started during the early days from started developing the platform. We worked closely with the team to build initial prototypes. We went through several quick iterations using Agile sprints to validate cloud platform as a viable alternative to traditional models for constructions services.

A relationship that started with building MVPs and prototypes slowly turned into a full fledged team extension and long term tech partnership. By working closely with the CIO and hardware teams, we have now become the proud software team driving Ernesto's hardware business.
Result
A cloud platform is deployed in one of the TIER III data centers.
Clients of the platform are DS' teams from large retail, telecom and financу companies.
Achieved indicators:
- no leakage of sensitive data
- optimized consumption of IaaS and GPU
- the ability to work remotely with the DS team while maintaining data privacy
FEATURES
Useful functions for the data scientist
Work with Jupyter Notebook or Lab with selectable profiles of computing resources.
The presence of a common command and personal folders for research and data.
Ability to run CPU or GPU calculations on different servers directly from Jupyter notebook.
Power can be limited at the level of each user, which means that each of the DS will always have a resource for data analysis.
FEATURES
Useful functions for the Head
Quick start of teamwork of data analytics in a secure data center, as well as the ability to install in the company's internal cloud.
Monitoring productivity and resource consumption, the ability to manage cost of ownership.
Saving all studies and their data in one place under the supervision of a supervisor.
somerandomdeveloper has made excellent technical choices and produces high-quality software... When you're trying to build quick, at scale, with a customer-first approach, there's probably no better organization to partner with than somerandomdeveloper.
Mihail Blinov
Leader | TS Cloud
TECHNOLOGIES
When developing this platform, a large stack of technologies is used, such as Data Mining in-depth analysis and predictive analytics, machine learning and the Internet of things, cloud video surveillance and video analytics, data storage and mobile technologies.
DESIGN
The platform allows you to show the key parameters of a group of projects both nationwide and in the local region for both the top-management of the company and the heads of regional departments.
The feedback on the product has been great. Users can
quickly get information they need. It's intuitive and easy for
them to work with.
Dmitriy Dorodnikh
Technical lead | TS Cloud
FEATURES
Control of of resources
Ability to limit analysts by the amount of resources consumed, as well as control the load on computing power