Channel Tools partners with Ergosense to offer Environment Health and Occupancy Sensing Solution
Channel Tools partners with Ergosense to offer Environment Health and Occupancy Sensing Solution
This strategic agreement was formalised in July 2020.
By Bryony Sandy
13th July 2020
Channel Tools today announces signing a strategic agreement with Ergosense, a provider of smart sensor solutions that are designed to help organisations manage their physical workplace environments, monitor asset movement and monitor employee behaviour patterns. This agreement will allow Channel Tools to develop a sales channel for Ergosense in the EMEA region and will be delivered through Channel Tools partnership with Tech Data EMEA.
Ergosense sensing solutions not only provide you with the sensors to help you establish an efficient and optimised people centre office environment but they also provide you with a sensor-based platform to provide accurate and aggregated information to allow you to use real time data to optimise the working environment. These devices measure elements such as CO2 Levels, Temperature, Air quality, the occupancy of space, asset tracking and much more.
Kewal Gupta, Chairman and Founder at Channel Tools said, “IoT is now a part of the everyday fabric of the workplace. Ergosense are able to offer an end to end solution with the sensors you need through to the reporting and actionable insight providing a single, integrated and scalable solution delivered via a SaaS Model. We are pleased and excited to be adding Ergosense technology to our suite of smart sensor offerings”
Leon Roodt, CEO at Ergosense added, “A mayor success requirement, for any current and future IoT device and platform, is ease of use and ease of implementation. The Ergosense platform ticks both these essential boxes.”
If you are interested in finding out more about these sensing solutions and our strategic agreement, contact us.
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Channel Tools partners with PointGrab to offer smart building sensors for workplace analytics
Channel Tools partners with PointGrab to offer smart building sensors for workplace analytics
This strategic agreement was formalised in July 2020.
By Bryony Sandy
9th July 2020
Channel Tools today announces signing a strategic agreement with PointGrab, a leader in smart sensing technologies for smart buildings. This agreement will allow Channel Tools to offer PointGrab’s CogniPoint™ platform, a ground-breaking, field proven solution that enables automation of commercial buildings by sending and processing information about where and how occupants use the workspace. This agreement will allow Channel Tools to develop a sales channel for PointGrab in the EMEA region and will be delivered through Channel Tools partnership with Tech Data EMEA.
The CogniPoint™ platform allows you to optimise allocation of physical resources through highly intelligent image-based sensors, deep-learning algorithms and a cloud management system. These physical resources include workstations, meeting rooms, lighting, HVAC and more, leading to significant cost-savings and improved efficiency.
Kewal Gupta, Chairman and Founder at Channel Tools said, “Everything now is about delivering the vision of people centric smart spaces. Adding PointGrab’s technology to our offerings will help organisations deliver this vision. We are very excited to be adding PointGrab’s CogniPoint™ Platform to our Smart Space offering.”
Roee Peled, VP Global Sales and Business Development at PointGrab added, “The collaboration with Channel Tools and Tech Data EMEA is a significant milestone for PointGrab, as it facilitates an expansive service offering to an extensive customer base. As more enterprises realize their future involves creating an intelligent and flexible working environment to increase productivity and retain talent, the combined services from PointGrab and Channel Tools will enable these organizations to move smoothly forward in the right direction.”
If you are interested in finding out more about PointGrab’s flagship solution and our strategic partnership, contact us.
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Channel Tools and WiCis Health Sign Strategic Agreement
Channel Tools and WiCis Health Sign Strategic Agreement
This strategic agreement was formalised in July 2020.
By Bryony Sandy
7th July 2020
Channel Tools today announces signing a strategic agreement with US based Telehealth and Telemedicine Monitoring Solution provider WiCis. Through this relationship Channel Tools will aim to develop a sales channel for them in the EMEA region. This will be delivered in partnership with Tech Data EMEA.
The WiCis Health 3.0 Platform uses cloud-based workflows, video-conferencing, and live vital signs and is the mobile first HIPAA compliant Telehealth and Telemedicine Monitoring solution delivering the intelligence of the medical experience directly to a patient that can be located anywhere and in real-time.
Kewal Gupta, Chairman and Founder at Channel Tools said, “Telehealth and Telemedicine is becoming more and more relevant globally. In a recent US Survey, it was commented that 97% of Healthcare providers were looking at extending their reach into the community with Telehealth and Telemedicine services.”
Carlota Fenes, President at WiCis added, “The partnership between Channel tools UK and WiCis Health supports our goal to expand in the UK and Europe. Our comprehensive telemedicine platform replicates a real doctor visit from anywhere with no compromise in the quality of healthcare.”
If you are interested in finding out more about the WiCiS Health 3.0 Platform and our strategic agreement, contact us.
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Collaboration Tools for Remote Data Science Teams
Collaboration Tools for Remote Data Science Teams
This is an extract from an article written by Pascal Bugnion, Data Engineer at Faculty.
By Bryony Sandy
3rd July 2020
Due to the recent COVID-19 outbreak, millions of employees are having to embrace remote working, including thousands of data scientists. As data science teams grow larger and more complex, facilitating remote working has become more complex too. Data science is now done by cross-functional teams that bring together subject-matter experts, modellers, data visualisation experts, machine learning engineers, product managers and designers.
Unsurprisingly, when these teams begin to shift toward remote working, effective collaboration often becomes a huge challenge especially as communication is harder when teams are not co-located. Read on to see that the right tooling is essential to helping data science teams perform to the best of their ability while working remotely.
Avoiding Frustrations
High-functioning data science teams strive for consistent tooling and infrastructure across the team. It is much easier to call and help a colleague if you both work with similar tools and to write reusable, shareable code if the environment in which that code runs in is more constrained.
There are many components that make up a data science infrastructure. Faculty have found the below processes to be effective:
- Give everyone the same hardware.
- Enforce common tooling. If everyone in the team uses Python, sharing code and models is greatly simplified. Similarly, if everyone uses the same text editor, the organisation can develop processes or even software (e.g. editor plugins) to facilitate collaboration.
- Enforce common environment management. If everyone in the team uses the same environment management system (e.g. Conda environments or Docker containers), data scientists can collaborate both on the code and on the environment the code runs in.
- Always store data online as it is then accessible by everyone, making it much easier to share code or to debug issues together.
- Have an easy way to declare reproducible workflows that other team members can run. For instance, having a well-documented store of Docker containers that can run particular parts of the team’s data processing pipeline means that not everyone in the team needs to know every part of that pipeline at the same level of detail. In turn, this reduces the need for long phone calls explaining how to run the pipeline.
- As much as possible, deploy models behind documented APIs. Having a clear interface allows more people to leverage the team’s work.
Avoid Isolation by Making Work Visible
Sharing a goal is one of the most motivating elements of teamwork. However, when working remotely, it is hard to know what other team members are working on and to generate a sense of shared purpose. This can lead to team members feeling isolated.
Ensuring the work is visible is the best way to reduce this feeling. By having a good source code manager like GitHub, GitLab or Bitbucket you can see the steady flow of PRs, comments, and reviews to give a sense of motion to the team. Continuous integration pipelines running from this source code manager also increases visibility.As well as exposing activity through a source code manager, organisations also make other sources of activity available.
Avoid silos by sharing best practices
When teams work remotely, there is less space for ad-hoc knowledge sharing. Hallway conversation that can spark new ideas is less likely to happen. Therefore, teams need to be much more deliberate about knowledge sharing.
Faculty have seen teams build knowledge repositories in Confluence or the open source knowledge repo. In Faculty Platform, a data science workbench, Faculty are working on building a way to easily share blueprints for common data science tasks. This allows data scientists to gradually build an organisation-specific knowledge centre for a single, consistent view of best practices.
Conclusion
It is hard to build cross-functional teams to deliver on the promise of machine learning as well as to recruit people and to get them to speak the same language. Trying to do this with a remote team is even harder.
Good tools will not guarantee success, but they will make your team-members more productive and foster a feeling of collaboration and shared goals.
Faculty Platform gives remote data science teams a shared infrastructure for collaborating on model development and deployment – and all the best practices from this post are built into it.
If you are interested in finding out more about the Faculty Platform, contact us today.
This is an extract from an article written by Pascal Bugnion, Data Engineer at Faculty. To see the full details click here.
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