• Sold by Mesh-AI

Increasing numbers of enterprise organisations are exploring how AI can enable their organisations to make money, save money and reduce risks. However, many are asking similar questions: How do we get started with AI? What are our competitors doing? How do we operate with AI? What investments should we make? How do we comply with regulations? Mesh-AI follows a tried-and-tested framework to baseline your organisation's AI readiness across people, process and technology and help you answer these questions. Our AI Strategy Accelerator identifies the areas within your organisation that require the most attention and have the biggest opportunities for AI impact within your business.

• Sold by Mesh-AI

Mesh-AI baselines your organisation's Generative AI readiness across people, process and technology. Our Generative AI Strategy Accelerator identifies the areas within your organisation that require the most attention and have the biggest opportunities for AI impact within your business.

• Sold by Mesh-AI

Organisations dependent on physical assets – such as energy companies, rail or telecommunications providers – face the challenge of tree and vegetation management to ensure the availability of service to their customers. Service disruption can impact revenue streams, reputation, fines from regulatory bodies and disadvantage vulnerable customers. The established approach for maintenance plans are typically policy based rather than risk based which leads to heightened risks of service outages and sub-optimal allocation of operational costs. At Mesh-AI, our solution uses data and AI so companies can proactively identify, manage and mitigate these risks to ensure availability of service while reducing operational costs.

• Sold by Mesh-AI

Increasing numbers of enterprise organisations are exploring how they can be data-driven by default. However, many are asking similar questions: Where do we start with our data transformation? How do we improve the quality of our data? How do we create a self-serve analytics capability? What does our future state architecture and op-model look like? Do we need to discard our existing data investments? What technical skills do we need in place? What do we need to scale ML and AI, in production? Mesh-AI follows a prescriptive framework across a four week data strategy accelerator, to baseline our customers’ data data-driven readiness across people, process and technology and help answer these questions.

• Sold by Mesh-AI

Using AI and digital twin technology to predict multi-weather hazard events and their relevant impact across the network. An integrated solution that utilises data from a variety of sources, including weather, geographical, network, customer and intervention/impact data to predict the probability of events occuring and the expected consequences in an overall risk score. Building a graph-based solution that captures the causal factors alongside ongoing network and asset data allows for a proactive response and prevention interventions for potential hazard events.