AI in Energy and Natural Resources

Accelerating the transition to a more sustainable future with AI

4 min read

Transforming the energy and natural resources industry with AI

The energy and natural resources sector is addressing some of the world’s biggest problems. And AI is part of the solution. It’s already making energy production, delivery and use more efficient.

Businesses like yours are using AI to improve the accuracy of forecasting. You can also improve fault modelling and analyse infrastructure. You can build a stronger supply chain.

But where will it deliver the most value for your business? Which use cases should you prioritise? And how quickly can you implement AI while ensuring it’s done in a responsible way?

We help you understand where AI can add tangible value. We work with you to identify where AI can be used to solve your biggest challenges. We support you in closing the AI skills gap within your business and transforming your tech infrastructure. And we’ll help ensure your data and tools are relevant and resilient for the future.

Most importantly, our AI frameworks are designed with security and ethics at their core, so you get AI you can trust.

Want to know more? Read on to find out how we can make the difference to your AI transformation.

Unlocking value in the energy sector with AI

AI has a huge role to play in tackling the big challenges faced by energy and natural resource organisations. But it’s not the answer to everything. We’re not about reinventing for the sake of reinvention. You need to be able to draw a direct line from investment to business value.

We’re helping organisations like yours understand where AI can truly make the difference, developing agile technology systems that deliver maximum value.

We help you:

Understand the business problems that can be solved by AI, prioritising low-cost, high-value solutions
Analyse data and gain insights into complex issues.
Mitigate the risks associated with large-scale capital projects, helping to ensure predictable delivery and budget control.
More accurately predict supply chain challenges and opportunities.
Automate routine tasks and optimise workflows to increase efficiency.
Demonstrate ROI on AI investments.

Embedding trusted AI

The detection of pattern recognition across the value chain, real-time energy demand forecasting, the analysis of large datasets, and scenario modelling; these all depend on trusted AI tools.

How can you ensure that the output you get is founded on trusted data? And remains compliant? You need AI that’s implemented with accuracy at the core.

We help you:

Ensure accountability and transparency in AI decision-making.
Establish pragmatic risk and controls frameworks.
Deploy your AI solutions in an ethical and responsible way with our KPMG Trusted AI framework.
Improve cyber security to respond and recover fast.
Understand how AI legislation impacts your plans.
Get assurance of your AI model, including rigorous validation and lifecycle management.

Building the workforce of the future

The growth of renewables requires a workforce with specialised skills. As you prepare your teams for the future, we help you implement AI to augment roles, free up employee time, and increase productivity. We also upskill your workers so that they know how to use AI to solve even the most complex of challenges.

Are your teams ready with the knowledge needed to use AI tools? Do they fully understand its benefits?

We help you:

Educate your teams about the potential benefits of AI, and how to use AI in a responsible way.
Empower your workforce to use AI-enabled tools and to build a culture of trust.
Redesign your employee roles and experiences for a workplace where your people are augmented by AI.
Retain and attract skilled AI professionals into the energy sector.
Embed AI over the long-term – we make it happen, and we make it stick.

Enabling future growth with AI

Most companies recognise the value of data. And they understand the power of AI in supercharging analysis – both in terms of accuracy and speed.

But many organisations within the energy sector are working with technology and data that isn’t set up to support the implementation of AI.

We’re helping clients with legacy infrastructure make the seamless transition to AI-enabled solutions. We’re working with them to clean up their data and prepare their tech stacks so that they can embed AI quickly and at scale.

We help you:

Ensure your data assets are compatible with AI applications and your data strategy is ready for the future.
Build, deploy and support scalable and flexible cloud-based AI models.
Integrate AI with your existing tech stack.
Jumpstart your AI journey by enabling safe experimentation with AI tools.
Scale proven AI use cases across your organisation.
Define your future AI-enabled operating model.