Through their partnership, Dataiku and Schlumberger offer the energy industry a leading AI platform integrated with cross-domain engineering workflows. We’ve enabled the proliferation of a new breed of digital experts – now, everyone in the energy sector can build AI. Geoscientists and engineers can create, deploy, and manage AI-driven physics-based domain solutions globally.
Artificial Intelligence promises to help E&P professionals perform everyday tasks faster, better and at a much bigger scale. But what does that actually look like and how difficult is it? Schlumberger Software president Trygve Randen finds out – in a 1-2-1 tutorial with Florian Douetteau from AI leader Dataiku.
Listen to the EpisodeSchlumberger and Dataiku have entered into an exclusive technology partnership that will enable the E&P industry to build and deploy their own artificial intelligence (AI) solutions across the full breadth of their upstream workflows within the DELFI* cognitive E&P environment.
Learn MoreDataiku and Microsoft empower everyone - not just data scientists - to create, deploy, and manage AI-driven data projects at scale.
Learn MoreThe energy industry is facing a dynamic business environment with significant economic pressures over the last few years, to say the least. It was clear to many that new digital technology would help to enable our industry to create more efficient and effective ways of working, further focusing on and fostering a culture of innovation.
Learn MoreThe DELFI cognitive E&P environment is enriched with powerful artificial intelligence (AI) and industry-leading analytics. This is the first step in empowering you with a broad range of cognitive capabilities, in time we will go further than AI - there’s much more to come soon.
Learn More
A composite organization in the commissioned study conducted by Forrester Consulting on behalf of Dataiku saw the following benefits:
reduction in time spent on data analysis, extraction, and preparation.
reduction in time spent on model lifecycle activities (training, deployment, and monitoring).
return on investment
net present value over three years.
