Thu, 25 Nov

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Webinar

SCLF Webinar 27

Using technology in land contamination assessments

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SCLF Webinar 27

Time & Location

25 Nov 2021, 12:00 – 13:00

Webinar

About the Event

We will have 2 speakers at this webinar looking at some data and technology that can be used to assist in land contamination assessments.  Read on for full details and speakers biographies.

Automation in site data collection and processing by using Ambilytics software  - by Anna Ward, Ambisense

Ambisense have a range   of connected devices we can deploy on your site (Gasflux, Water Level Logger,  Dissolved gases probes etc.) to monitor the environmental parameters   continuously and collect data. All field-generated data is then automatically  and securely sent to our smart platform Ambilytics. Ambilytics cleans,  analyses, and models your data, integrating it with contextual data such as weather giving you an easily understandable yet comprehensive view of your   entire pool of data in real-time. Better data gives more insights which, in turn, lead to:

  • Faster reporting and up to 5 times quicker regulatory approval
  • Reduction in project delivery costs (travel expenses, manpower on site, manual data analysis)
  • Reduction in programme time and quicker return on investment for your client
  • The ability to provide significant long-term reductions in 'person-days' on site, reducing health and safety risk
  • More robust data, resulting in money saving on over engineering (e.g. expensive gas protection measures)
  • Reduction of unnecessary journeys, supporting a sustainable approach to monitoring and reduction in CO2 footprint

With no manual data manipulation required, you can instead spend your time using your expertise to transform this data into actionable insights.

Our software was not created to replace the human decision  aspect, rather Ambilytics was created as a support tool that combines the   best of data visualisation and project management systems but then goes a step further, incorporating a suite of analytical tools that help project teams go beyond reacting in real-time to anticipating what is likely to   happen. This approach leads to a decreased risk of issues that will impact human health, reduced project costs, and accelerated project timelines. We at Ambisense believe in an approach that requires little to no human manual labour, that streamlines the data evaluation process, and is infinitely scalable, that eliminates potential human error and drastically improves processing efficiency.

Anna is a Commercial Manager at Ambisense. She has over 10 years’ experience working with customers in the environmental sector, helping them achieve better outcomes for their clients whilst increasing efficiency and saving money. Before joining Ambisense Anna worked at Groundsure and ALS which enabled her to connect and gain trust from numerous people in the environmental sector.

Environmental Data Management and Industry 4.0 - by Dr Marianne Broadgate, Earthsoft

There have been  four industrial revolutions. The most recent is referred to as Industry 4.0.  IoT (Internet of Things) devices and sensors, digitalization, and big data will change the whole manufacturing industry in the next 5-10 years. The only remaining question is how fast. EarthSoft is participating in this evolution by providing a digital solution to support environmental data management with its EQuIS suite of software applications. The workflows around environmental data management  can be digitized and automated to move these important processes along the changing landscape as all other industrial processes evolve in this manner.  

This session will discuss what these changes mean to industry and how they will continue to evolve.

Dr. Marianne Broadgate is EarthSoft’s Sales Executive, covering activities in EMEA, and Australasia. She previously worked for Esri and acQuire in sales and marketing roles in Australia, and has been providing information management solutions in Natural Resources for over 20 years. Marianne has a degree in Geophysics and a PhD in GIS and Geology from University of Edinburgh.

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