SPOTFIRE
AI is transforming basic tools into conversational interfaces.”
But for the deep industrial and scientific analysis on which sectors like energy depend, the human-AI connection is vital. Copilots can rapidly assemble complex multi-layer maps or run time series comparisons, but users retain control – ensuring trust and rigour in decision-making.
A key innovation, Spotfire Actions, allows users to string together configurations – such as building a multilayer map – in a series of repeatable, shareable steps. Communities can exchange these artefacts, supporting rapid innovation and best practice sharing across sectors.
Optimising production in oil and gas For upstream energy clients, Spotfire’ s value becomes clear on the production floor. Engineers deploy the platform to monitor“ non-productive time” – analysing pressures, temperatures and current draws on artificial lift
“ You have to deliberately slow down, stay curious, humble, grateful and kind”
MICHAEL O’ CONNELL CHIEF ANALYTICS OFFICER, SPOTFIRE systems to anticipate failures before they disrupt output.
“ Production surveillance and optimisation is a key use case. You want to reduce non-productive time, monitor downtime reasons and quickly resolve issues,” Michael explains
The platform’ s predictive tools allow real-time monitoring and forecasting not just of physical performance, but also of financial outcomes – informing everything from early maintenance to SEC filings. Benchmarking features support comparison against industry data, enabling users to measure performance, investigate anomalies and improve efficiency.
Wider benefits include the reduction of unnecessary costs, the prevention