Converting a paradigm shift in Data & AI to new possibilities across design, engineering and operations.
The Challenge
- Can we develop a “control-room copilot” that transforms overwhelming SCADA alarms into clear, prioritised operator actions?
- How could early involvement of data engineers in capital projects result in “digital by design” predictive analytics across an entire company?
- Could machine learning flag underperforming assets and recommend alternatives based on operating data from similar sites?
Over the past two years, the fields of data engineering, machine learning and AI have evolved at incredible pace, offering powerful new tools, techniques and capabilities. As UK water enters a period of transformative capital investment, now is the perfect time to draw inspiration from successes in the chemicals, automotive and software industries and take advantage without previous constraints.
What new possibilities have been unlocked by this recent paradigm shift? The right innovations today will shape the sector for decades to come; this opportunity must not be wasted.
Our Proposal
We will develop novel, disruptive ideas across the water treatment lifecycle, looking specifically for solutions that the latest generation of data and AI innovations have taken from impossible to feasible.
We will critique existing industry practices, examine successes in other industries and learn from speakers at the cutting edge of data engineering to develop disruptive proposals across three key pillars:
Design and engineering of new-build plants
How can we use data from existing sites to make the best decisions for new capital projects?
Retrofitting existing facilities
How can we use data from a given site to make the most strategic investments in it?
Finding new possibilities from existing SCADA data
Where can SCADA data be used outside of standard control room operation?
This sprint will bring together experts from all areas of the water project lifecycle alongside specialists in data engineering, software development and AI. This sprint aims to break down silos – the most successful data innovations will come from merging ideas at the intersection of design, engineering and operations.
Target Audience
We aim to bring together a diverse audience for this sprint, combining the experience of water industry domain experts with data specialists – and more! This will maximise our impact: ensuring that we’re using the best modern toolset to solve real issues impacting the industry today.
This audience may include:
- Designers and developers of capital projects
- Plant maintenance and retrofit operations
- Project planners / finance
- Control room operators and SCADA specialists
- Data engineers, machine learning engineers and software engineers
As well as anyone else who wants to explore how the latest in Data & AI can be used to solve their problems.
