There are so many opportunities to automate activities across the rail and wider transport sector, ranging from train scheduling and fleet maintenance to signalling and HR.

Automating arduous, time-consuming tasks in rail operations opens the door to numerous benefits. These include:

• Enhanced operational efficiency with more streamlined activities and processes
• Reduced energy consumption due to optimised driving patterns
• Allowing staff to focus their energy and efforts on higher-value activities for more reliable rail services

See automation in action by reading our case study with Network Rail.

Data management is about making an organisation’s data accessible, reliable, and useful. The more effective the management, the easier the right data is to access at the right time, driving numerous benefits to passengers and TOCs alike.

These include:

• Managing performance proactively
• Opening up cost savings
• Optimising train schedules
• Improving planning and resource allocation
• Spotting and remedying risks
• Faster incident responses

For more details on the impact of good data management, please head to our Data Management page.

Applying AI to automate activities in the transport sector omits the risk of human error, a leading cause of accidents.

AI is primed to monitor assets in real-time and make fast, informed decisions in critical situations. That could be diverting traffic due to the deteriorating condition of a road or re-timetabling platforms to accommodate train delays or cancellations.

Head over to our Custom AI Solutions page for more details about tailoring automation to your sector.

Transport has traditionally taken (and relied upon) a reactive approach to operations. With AI, it can shift to a more proactive, predictive, and autonomous model. Some of the most common uses of AI in transport are:

1. Predictive maintenance: By analysing real-time sensor data from vehicles and infrastructure, AI can anticipate component failures before they occur. Repairs can then be scheduled as a proactive, rather than reactive, activity. As a result, there’s a reduced need for unplanned downtime that would otherwise affect passengers, staff, and the wider network.
2. Optimisation of networks and logistics: Large networks can have routing and logistics optimised by complex AI algorithms to:
   • Reduce congestion
   • Improve on-time performance
   • Increase the efficiency of resources and fuel
3. Enhancing safety: With the ability to detect potential hazards on roads and tracks, and within assets themselves, AI enhances safety across all modes of transport.

Find out how you can leverage the power of AI by viewing our Artificial Intelligence page.

The more structured, accessible, and useful data is, the faster it is to gain the real-time insights needed to reduce rail delays. For instance, data that flags a minor maintenance issue before it has the chance to become a major disruption. Or, data that forecasts a rail diversion conflict before it happens. The more information operators have, the easier and quicker it is for them to keep services running smoothly.

GBR’s vision – to create a railway fit for Britain’s future – is underpinned by data. To effectively ‘deliver the leadership’ and ‘long-term strategic thinking’ the sector needs, GBR must prioritise the gathering, consolidating, understanding, organising, and use of data from multiple sources to create one truthful system that supports planning and operations for the entire network.

With the right data and supporting processes (from strategy and management to governance), GBR will be in the best position to make decisions that really can transform the experience, safety, and longevity of the UK’s rail network.

For over forty years, Oakland’s data and AI consultants have successfully implemented strategies and solutions tailored to the needs of the transportation sector. We’re particularly renowned in the rail industry, with our specialist team of transport consultants and analysts having completed over 100 projects for Network Rail. We’ve also delivered successful projects for:

• Govia Thames Link
• Cross Country Trains
• East Midlands Railway

To find out more about our experience and who we work with in the transport industry, please contact our team.

Leave the data and AI automation to us so you can concentrate on the complex stuff. Oakland offers support with activities including:

• Knowledge Management
• Financial Reporting and Cost Centre Management
• Signaller Competency Management
• Automating Tasks with AI
• Fraud Monitoring and Compliance Management
• AI Use Case Identification
• Data Platform Development
• Data Forecasting

Contact us to get started.

Telcos handle vast amounts of sensitive data, from personal customer information to business data. This data needs protection from threats, including unauthorised access and data breaches, all while complying with various legal and regulatory requirements. For instance, GDPR in Europe.

With the right data governance people and processes in place, telcos can feel confident that data:

• Is accurate and consistent
• Has clear ownership and levels of access
• Complies with regulatory requirements
• Conforms to quality standards
• Is protected from risks and operational inefficiencies

Our guide, Data Governance for Humans, has everything you need to understand about data governance strategies, from what to consider when developing one to how to implement and consolidate it.

If you’re looking to improve the services you offer, data is your goldmine – and a telecoms consulting firm is the catalyst. When you understand how to manage, analyse, and optimise the vast amounts of data your telco generates, you’re primed to:

• Build predictive maintenance models to reduce network downtime
• Make smarter network planning and infrastructure decisions
• Provide customers with consistent and high-quality connectivity

For more information, please read our blog: How to get the most from data consulting. You can also contact our team to find out about the opportunities we can open up for your organisation. We’d love to hear from you!

The most effective data strategy will be one that accounts for every area of the organisation. Data strategies are only as effective as their implementation, so it’s important that the right telecoms or media consultancy is chosen – one that can deliver the project in a language your people understand.

Designing and developing data strategies that align with core business objectives (such as monetising 5G or reducing OpEx) is Oakland’s bread and butter. For over forty years, we’ve helped some of the UK’s most prominent media and telecom organisations to implement data strategies that deliver tangible impact and long-term resilience.

A successful strategy must focus on four core pillars:

1. Establishing data trust and compliance through data governance
2. Modernising data platforms for scale via data engineering
3. Upskilling teams and improving data literacy with data training
4. Identifying and understanding the highest-value use cases to promote monetisation and ROI

For details on developing a data strategy, please reach out to our team or read our guide: How to write your data strategy.

Dark operating centres are essential for managing the scale and complexity of 5G and ‘edge’ networks. They use AI, machine learning, and automation to handle the majority of critical network operations, from monitoring and fault diagnosis through to resolution.

Though they don’t always omit it completely, dark ops centres reduce the need for human intervention, leaving them to focus on more complex issues. As a result, overall network resilience is as robust as possible, despite a reduction in operational costs.

By consolidating data from every customer touchpoint (network usage, billing, support requests), telcos are able to get a single view of the customer. Centralised data is a treasure trove for analysis, allowing businesses to:

• More accurately predict churn: Data from support and network gaps helps customer service teams to identify the customers most likely to leave and intervene with proactive offers or incentives.
• Personalise contracts or offers: With actual network usage data, sales teams can give the customer highly relevant upsell or cross-sell promotions.
• Resolve issues faster: Real-time network performance data ensures issues are diagnosed and resolved before the customer spots them, improving satisfaction and loyalty.

Leave the data and AI automation to us so you can concentrate on the complex stuff. Oakland offers support with media and telecoms activities including:

• Network Planning and Engineering
• Real-Time Threat Prediction
• Dark Operating Centres
• Fraud Management and Spoofing
• Contract Sales Analysis
• Billing Fraud
• Network Maintenance and Management
• GDPR and Privacy
• Cyber Security

Stream is a collaboration between UK water companies supported by industry and civil society partners. Stream’s mission is to unlock the power of water data for the benefit of customers, society, and the environment. They will be publishing their open data strategy early in 2026.

The Environmental Information Regulations 2004 (EIR) give the public access to environmental information held by public authorities, like water providers. The EIR aims to increase transparency between the public and public services. For the water industry, this includes:

• Water quality
• Waste management
• Environmental impact

Investment in water infrastructure has never been higher. £104bn will be injected into the sector during AMP8, which runs from 2025 to 2030. Within the framework, water companies have also proposed:

• The development of 10 new reservoirs
• A 50% reduction in sewage spills from storm overflows
• The creation of 30,000 new jobs

The potential for Big Data to transform the water sector is huge. From improving water resource management to developing more sustainable water systems, Big Data has the means to make sure everyone has access to the water they need.

If managed correctly, these vast amounts of data could help the water industry to:

Stay ahead of failures before they happen

With smart asset monitoring and predictive insights, utilities companies can spot early warning signs and take action before small issues become costly breakdowns.

• Act upon water crises with speed
  With real-time monitoring, utilities companies and water agencies can spot and respond to crises fast, limiting risks to the communities they serve.

• Predict water supply and quality to high levels of accuracy
  An activity that is becoming more significant as weather patterns – and their impacts – become more volatile as a result of climate change.

• Make informed water allocation decisions
  When water companies understand how, where, and why water is being used, they’re better equipped to make decisions that ensure people can access clean water.

We’re big believers in using AI for good. But all elements of using an AI model need to be considered, particularly when it’s being used to service a public service – like water supply.

AI systems can be prone to algorithmic bias, where they unintentionally favour inequities. With the right governance and robust controls, you can limit the risk and make sure you’re confident in the outcomes when using AI tools.

For information on how to govern your AI systems, please  contact our team.