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5 Simple Steps to Start Using Industrial AI

5 simple steps to start using industrial AI

What is Industrial AI?

The term Industrial AI refers to the use of AI in industrial settings, primarily with Machine Learning (a subset of AI). With Industrial AI, we can build data-learning models that learn specific asset behaviours.


Who Benefits?

The use of Industrial AI has broad scope, however typically most benefits are realised by engineering and strategy teams that are working with industrial systems (e.g. energy, mining, manufacturing and motorsports).


When to use Industrial AI?

When there is vast amounts of data, complex operations, and limited time for decision-making.


How does Industrial AI Work?

Industrial AI combines physics, machine learning, and optimisation modelling to create advanced tools for detection, prediction, and optimisation. 


These tools are tailored to deliver recommended actions for specific engineering tasks, such as preventing equipment downtime or optimising asset performance.


Why use Industrial AI?

  1. Efficiency Intelligent systems that analyse data for you, helping you make faster decisions with actionable recommendations.

  2. Accuracy Get reliable, physics-informed insights at your fingertips.

  3. Configurability Configure and optimise AI systems to meet your specific operational needs.

  4. Performance Leverage multi-objective optimisers to maximise asset reliability and performance while reducing costs and emissions.


So where to begin?

We've compiled 5 simple steps to get you hands-on with Industrial AI:

1 Assess and Select Use Cases

Identify operational challenges where machine learning will have the most impact.  Look for equipment that is not running at peak reliability, performance, or run life.

Assess and Select Use Cases

Link with one or more of the following tasks:

> Equipment Monitoring

> Optimisation & Control

> Maintenance & Intervention

> Forecasting

> Asset Management


2 Link in with your Data and Digital Tools

Gain an overview of your current data and digital tools, and assess how data is being used and integrated across various systems within your engineering teams. 


Identify the data sets you would like to consolidate in one place to leverage AI systems effectively. Think about how these data sets can be used to calibrate and optimise intelligent systems, and where data quality will need to be in focus to manage well.


3 Deploy and Configure Industrial AI Systems
Configure the AI systems using NEXGINEER

Deploy NEXGINEER's pre-configured AI systems, tailored to your selected use cases. Integrate the use of these AI-based systems into your existing workflows, exploring where they can start eliminating manual effort and repetitive analysis, and guide your strategic decision-making.


Configure the AI systems according to your specific objectives, operational constraints, and desired outcomes, ensuring they align with your strategic goals. 


4 Monitor and Optimise Performance
Optimise Performance

Continuously monitor the performance of each deployed system using NEXGINEER Analysis.


Utilise pre-prioritised recommendations, integrated trending and mapping, and analysis features to track recommendations and take action.




5 Expand and Innovate with Industrial AI

Identify new use cases and opportunities for further NEXGINEER implementations. Continuously iterate the process to drive ongoing improvements and sustained benefits. Foster innovation by exploring new ways to leverage AI within your engineering workflows, ensuring you stay ahead of the curve and maximise the value of your AI investments.


Ready To Take The Next Step In Your Industrial AI Journey?


At SIG Machine Learning, we're dedicated to optimising and decarbonising industrial operations. Our flagship product, the NEXGINEERâ„¢ platform, empowers engineers with advanced machine learning tools to maximise the performance of industrial assets. NEXGINEER is an all-in-one AI software platform for engineers, where AI systems have been pre-configured for specific engineering tasks, such as asset monitoring, maintenance, optimisation, control and more.


By bringing more intelligent technology into engineering workflows, you’ll discover new ways for engineering work to get done, as more data is collected, analysed and modelled than ever before. If you’d like to have an honest conversation about whether Industrial AI could help improve efficiency and performance in your team, contact us today, and we’ll happily discuss if Industrial AI is right fit, and offer a demonstration of NEXGINEER.


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