From AI strategy to implementation, Endila helps energy industry clients transition to being data driven organisations.
 

AI STRATEGY

Every successful AI implementation starts with a clear strategy. Our AI strategy development services focus on:

  • Determining which specific technical, engineering or operational challenges should be prioritised for AI projects

  • In a portfolio context, identifying the most valuable AI use cases and aligning them with an overall digital strategy

  • Establishing governance frameworks with clearly defined roles, responsibilities and communication structures to ensure AI projects can succeed and grow

  • Defining the critical pathway to AI implementation while addressing cross-cutting issues such as infrastructure, competencies and organisation to streamline business transition towards a data-centric company

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Establish a compelling vision

Understand your readiness

Address critical enablers

Decide your use cases

Decide the right sourcing route

PROOF OF CONCEPT

The journey to becoming a data-centric company should always feature proof of concept projects. These projects have strategic alignment, a strong business case and a clear value proposition. Developing a proof of concept is a step-by-step process which has data and client involvement at its core.

  • Identify quantifiable technical, engineering or operational challenges which have sufficient data for AI

  • Explore the data and existing data management process to understand which technical approaches fit best the problem at hand

  • Prepare the data for modelling

  • Develop and test different AI models and workflows

  • Evaluate and refine towards the best possible solution

Business challenge definition

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Data analysis and modelling

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Data acquisition and understanding

02

Data preparation and transformation

03

Model evaluation and performance validation

05

Result communication and model deployment

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Ready to take the next step?

Start working with us today and accelerate your AI journey.