Moscow

CROC

CROC UAV is a universal management system that supports autopilots and UAVs: DJI, MavLink-compatible, Yuneec, Mikrokopter, Microdrones.



The system allows to plan and manage UAVs flights; manages drone flocks and conduct high-rise surveillance using tethered UAV (cable-powered from a ground station).



The solution also allows to manage one or several UAVs, receive and record telemetry and alert an operator about a dangerous drone approaching other aerial vehicles, support simultaneous activities of several operators and can be integrated with automatic dependent surveillance-broadcast (ADS-B) systems.

CROC UAV

drones

driverless

quadcopters

The <a href="https://amr.ru/" target="_blank" rel="nofollow">Association of Managers</a> and the Kommersant Publishing House have released an annual rating of the top 50 Russian IT directors by industry and business as part of “Top 1000 Russian Managers” ranking.

 
 The top three CIOs in the IT sector include Maxim Shahab from Kaspersky Lab, Alexander Filatov from Lanit, and Marina Konova from CROC.

 
 The telecom category includes Viktor Belov from MTS, Grigory Savenok from MegaFon, Aleksey Berzin from Transtelecom, and Anton Rubenchik from Beeline. 

 
 As the authors of the rating note, the CIO category this year came out on top in terms of the share of new names (58%).

 
 <a href="https://t.me/ICT_Moscow/5107" target="_blank">Original (in Russian)</a>

Kommersant

List of Top 50 Russian CIOs Compiled

Digital Leader, PwC Russia, IDC, and CROC have conducted a joint research to find out which technologies will have the greatest influence on the Russian business sector and job market by 2030. The research indicates that Artificial Intelligence &amp; Machine Learning (AI&amp;ML) will cause the most dramatic changes within Russian companies, followed closely by Internet of Things (IoT) and Robotic Process Automation (RPA). In 10 years, more than half of employees in Russia will be working remotely. Moreover, 89% of respondents claim that up to 50% of jobs will be replaced by robots and AI, primarily call center agents, salespersons, cashiers, consultants, accountants, drivers, machine operators, and secretaries. However, Russia will need IT specialists, engineers, doctors, bioengineers, geneticists, data analysts, cybersecurity specialists, as well as psychologists and teachers. Most respondents graded Russian business digitalization as ‘satisfactory’.

 
 Respondents graded current Russian business digitalization and innovation development at 3.2 out of 5 stars, claiming that the finance, retail and FMCG, telecom, and mass media and entertainment sectors are most successful in this area.

 
 Research participants were asked to assess various innovation adoption obstacles on the scale of 0 to 5. Inflexible and slow business processes turned out to be the main obstacle to digital transformation both today and over the coming 10 years, being awarded 3.77 and 2.83 stars, respectively.

 
 Lack of digitalization budgets is also hindering this process (3.62 points) and will continue to do so over the coming years (2.76 points). By 2030, regulations will become yet another obstacle to innovation (2.72 points).

 
 Most respondents believe that, over the next 10 years, AI&amp;ML will influence business the most (4.42 out of 5 points), saying that Russia will have an AI tax or license and a marketplace for AI models by 2030.

 
 According to experts, IoT will drive major change within Russian companies (3.96 points). For example, within five years, it will become common to use IoT-based systems for contactless reading of information on any person you meet at an offline event.

 
 Research participants awarded RPA 3.91 stars as a Russian business influencer, suggesting that robots will be answering 95% of all contact center calls by 2025.

 
 Over the coming 10 years, new technologies will mainly transform IT, marketing, customer support, and accounting departments within Russian companies.

 
 <a target="_blank" href="https://research.digitalleader.org/en/trendstechnologies">Read more →&nbsp;</a>

Research: technologies that will have the greatest influence on the Russian business sector and job market by 2030

Smart Metering comprises next-generation meters, upper-level systems that collect, process and analyze information received from metering points and transmit data to other information systems of the enterprise; advanced networks that transmit large amounts of information both from supplier to user, and vice versa.



The system provides automated energy metering and control over access to metering devices, allows to control energy consumption parameters in real time (changing tariff, reducing output power, disconnecting customer due to debt), notifying customers about payment arrears, new tariffs and services of the operator, failures and events; the system also analyzes energy consumption in a period of time.

Multi-tier system for electric power metering

smartcity

automation

meters

Smart Metering

VR technologies are used at all stages of designing - from creation of digital mockups to production.&nbsp; For design engineering departments they provide visualization of design data; visualization of design data from PLM systems and 3D information model created in BIM platforms; visualization of life-size design objects in CAVE systems (VR rooms).



For project organizations they provide visualization of projects created using BIM methodology and visualization of projects from CAD systems. For specialized laboratories they provide VR interface for software for its further use in VR rooms, headsets and glasses. In decision making center the technologies allow to visualize engineering design, CAD data and model results.

construction

Croc VR

BIM technology adds new dimensions in design - construction plans, time, cost - which can be conveniently displayed via an information model of an object (commercial building, road, bridge).
The system can be used in facility design (for creating information model with architectural and space planning and engineering solutions, for identifying mismatches among engineering systems, for conducting virtual tours across future building and development of BIM standard) as well as during construction (for example, for automated management of construction machinery).
The system can be adopted during operation (including full automated management of real estate, conducting trainings in VR for facility management service) and during reconstruction (for instant access to any data about the facility for planning and design of a reconstruction or overhaul project).

BIM Croc

Uavprof

EdTech

Base_technologies

video_surveillance

facial_recognition

Sledopyt

RoboCV

System for automation of floor movements of pallet cargo

driverless_cars

robotics

RoboCV X-MOTION NG

Skyeer

Cloud-based platform for analytics and control of construction and mining based on spatial data