CommLedgeWHAT WE DO
HOW WE DO IT
Standards
In the last ten years, ICT standardization has lost ground for two main - and related - reasons. On the one hand, the software product life-cycles have been drastically reduced, not leaving time to go through long processes for creating consensus-based standards: it was the time of mushrooming for lean and mean, narrow-mission-oriented standards organizations. On the other hand, the creation of eco-systems around large companies (and their associated environments: SDKs as well as Intellectual Property regimes, etc.) have favoured ‘semi-proprietary’ solutions over generic ones. In the mean time, Open source has become a major way to provide commonly agreed (and operational) solutions: this has been forcing a new way to create standards in which we (and others !) have found interesting avenues.
THINK
Artificial Intelligence
Artificial Intelligence (AI) is everywhere. It is not possible today to act in the field of ICT (and in many other sectors, actually) without undertaking (or at least pretending to) work pertaining to AI.
One of the main challenges for AI in specialised domains is to ensure that it really brings added value at the proper place. One example of that is AI for Edge Computing where the devices do not have the huge data sets and the associated huge computing capabilities offered in the cloud: finding the proper architectures and the appropriate choice of the AI/ML methods is key, promote them in standards is a bonus.
The approach of CommLedge is based on a long experience of Artificial Intelligence at large, beyond just Machine Learning, and apply it to some of the sectors in which it has been active in the recent years.(e.g., IoT and in particular Industrial IoT).
One of the main challenges for AI in specialised domains is to ensure that it really brings added value at the proper place. One example of that is AI for Edge Computing where the devices do not have the huge data sets and the associated huge computing capabilities offered in the cloud: finding the proper architectures and the appropriate choice of the AI/ML methods is key, promote them in standards is a bonus.
The approach of CommLedge is based on a long experience of Artificial Intelligence at large, beyond just Machine Learning, and apply it to some of the sectors in which it has been active in the recent years.(e.g., IoT and in particular Industrial IoT).
PUBLISH
Internet of things
The Internet of Things as a technical domain is vast and complex. The variety of industry segments (ICT, of course, but also energy, e-Health, etc.) and of the stakeholders (users, customers, service providers, vendors, regulators, etc.) makes it even more difficult to identify the major issues and generate solutions that have the largest footprint possible, are not restrained to silos and are usable beyond the sectors where that been created. From this standpoint, our work, largely undertaken with targets in standardisation, is done along these lines.
ADVISE
Accessibility
Designing products, devices, services, or environments for people with disabilities: this is the mission of accessibility. To empower individuals with varying abilities to access, understand, and use various resources and information effectively. To remove barriers and create inclusive experiences for everyone. This includes digital accessibility (e.g., apps or websites usable by people with visual or hearing impairments).
Our approach is based on the provision of standards that will help products and services developers by ensuring the largest possible usage by all kinds of disabilities communities.
DEVELOP
INNOVATION, CHALLENGE, TRANSFORMATION
IT Professionals acting in a world of global changes