Accelerate ML

Find what works. Make better decisions. Avoid wasted investment.

Accelerate ML is our streamlined approach for maximising the impact of ML on your business.

We use data science and design thinking processes to come up with great ideas that solve a problem, rapidly deliver an MVP model in a time-boxed fashion, and deploy as measurable experiments.

Accelerate ML provides benefits that overcome common pitfalls in the ML model development lifecycle.

Focus on value

Initial concepts for ML typically lack the insight into how they will impact the business and deliver value.

Avoid rabbit-holes

ML model development is an iterative research activity with a high risk of wasting time on unnecessary investigations.

Measure impact

Plans for a ML deployment often miss the crucial element of how the impact will be measured and how to acquire the data for the optimisation feedback.

Try simple solutions

There are many ML tools and algorithms available today. Without up-to-date knowledge, simple solutions that address the problem can be overlooked.

ML Maturity Assessment

What’s your team’s ML maturity? Does ML drive business value? Is your team ready to deploy and scale ML models? Take this quick, online assessment to find out.


Driving Business Value through Machine Learning with BG&E

A framework for ML success

Accelerate ML is a phased program designed to uncover

business problems, rapidly develop ML models, validate

solutions, and iterate on success.

compatible with any networked camera

Tangible Outputs

  • Rapid MVP ML model development and data engineering
  • Three discovery workshops to articulate problem statements, explore solution spaces, and evaluate the impact of ideas
  • Validation of the fit between solution idea and existing data and systems
  • Business plan including roadmap for ROI
  • Deployment of MVP with integration into your business systems
  • Development of an experiment framework to measure and learn
compatible with any networked camera

Perfect For

  • Solving business problems with ML
  • Managing and focusing data science efforts
  • Measuring the effect of ML and changed business processes
compatible with any networked camera

Key Components

  • A business-value-first approach to ML
  • Time-boxed data science and engineering delivery
  • Using MLOps tools for efficiency and reproducibility
  • Advanced experimental framework to measure and learn
  • WFH-ready workshops
  • Local and global team options
  • Training and enablement
  • Cloud partner that delivers beyond ML

Servian puts data on display for JCDecaux

How do you determine the audience reached by an outdoor

display billboard? That was the challenge faced by advertising

company, JCDecaux. Read how Servian helped them gain this

insight and, using machine learning, built a pricing model to

accurately value each of their advertising assets.

“Servian is always very interested to understand what our end goals are, how our business model works and why we believe that certain data capabilities will benefit the sales process,” Wake said.“Then they help us to push it a little further than we imagined possible.”

Essie Wake, Chief Marketing Officer of JCDecaux


Interested to find out more? Book a free consultation.