What would a more sustainable world powered by renewable energy look like? And how can a more evenly distributed offshore wind network help make this a reality?
We know that we’re only as good as our people, and at Ada Mode, we have an impressive team at the helm. This Humans Behind the AI series aims to highlight the talented individuals that work here. For this month’s edition, we’re featuring Alex Mollison-Ball, Senior Backend Developer at Ada Mode.
Asset Management. Dealing with disparate data
Legacy Assets: How data science can help
With the UK Government setting out its AI strategy last year, there has been time to take stock and reflect on what it means for industry, particularly civil nuclear, where the uptake of AI can be more challenging. In this post, we consider how AI assurance and governance for civil nuclear can be developed in line with existing regulatory principles.
We know that we’re only as good as our people, and at Ada Mode we have an impressive team at the helm. This Humans Behind the AI series aims to highlight the talented individuals that work here. For this month’s edition, we’re featuring Michelle Barker, Senior Front End Developer.
In this post we explore the benefits and complexities of calculating an asset's remaining useful life (RUL) and how machine learning can help.
In this post we explore the key considerations and techniques associated with a successful predictive maintenance strategy in FMCG to improve OA and OEE.
We know that we’re only as good as our people, and at Ada Mode we have an impressive team at the helm. This Humans Behind the AI series aims to highlight the talented individuals that work here. For this month’s edition, we’re featuring Rebecca Walton, Head of Operations at Ada Mode.
In this post we explore how machine learning and surrogate modelling can reduce the time, cost and complexity of the engineering design process.
There is no need to wait for data to accumulate before leveraging AI and data science to start benefitting from new instrumentation.
Race to Zero: How machine learning can help
This Humans Behind the AI series aims to highlight the talented individuals that work here. For this month’s edition, we’re featuring Samara Vazquez, Graduate Data Scientist at Ada Mode.
This Humans Behind the AI series aims to highlight the talented individuals that work here. For this month’s edition, we’re featuring Nick Barton, Senior Data Scientist at Ada Mode.
Digital Twins for Industrial Plants. They key elements for successful implementation
Easily digest current system operational state through visualising the system as a 2D map. Isolate zones on the map that represent faulty operation for simple condition monitoring and fault detection. Identify unexpected and potentially fault driven novel operation detected by a poor fit to the map
From non-data-rich plants to dealing with disparate data, in this mini-series, we look into the most common issues and constraints that industrial plants face when it comes to improving operations through data. In this edition, we discuss the difficulties that operators encounter when partnering with large technology companies.
From disparate data to dealing with many small assets, in this mini-series, we look into the most common issues and constraints that industrial plants face when it comes to improving operations through data.
Machine learning control can provide benefit to many industrial problems through the provision of optimal and automated control policies to support system owners
Audio data can contain a lot of information indicative of system performance, the unstructured nature of this data type lends it’s self best to deep learning approaches
Rail: How to use machine learning with video data to optimise rail infrastructure maintenance
