Applied AI

Guiding organizations on their AI journey

Anchormen Applied AI Approach

With this approach, we take you through all the stages of leveraging Artificial Intelligence, from analyzing use cases to developing AI-driven solutions, so we can help you to realize your AI ambitions.

Companies are still facing many challenges when it comes to adopting advanced solutions. From unclear vision and organizational challenges to lack of technical infrastructure or trouble identifying use cases. That’s where Anchormen comes in. With our unique approach to scaling automation, AI, and Advanced Analytics, we can put your data to use and bring actual value within weeks.

Through our experience and proven track-record, we’ve distilled an approach that will help your organization discover potential use cases, identify available data, and develop a working model within 6 to 8 weeks that can also be integrated and taken into production. We always start small, test quickly, and improve efficiently!

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Are you curious how we can help you realize your AI ambitions? Contact Anchormen today:

What is our Applied AI approach?

We work with you to identify the most valuable use cases and scale AI throughout your entire organization. Our approach goes through the following steps:

1. Use case discovery

An ‘use case’ is a specific problem that can be addressed with AI or ML. For example, forecasting demand or predicting planned maintenance or reducing MRO costs.

Workshop with stakeholders – A team of Anchormen Consultants and Data Scientists meet with business stakeholders to investigate potential use cases and business needs.
Use case discovery & ranking – We rank use cases based on their expected ROI, business value, and AI opportunity, versus the feasibility from a technical, data or organizational perspective.

2. Quick scan

Once use cases are identified, our team analyses your data to identify the potential of applying AI and ML to solve the issue and bring value. The Quick Scan involves:

Business Justification – With the client, we describe the business need in detail and why it should be solved. We identify potential risks and define success criteria.
Solution Requirements – We clarify the business requirements and scope; what is the need we are trying to solve and what model fits best.
Data Assessment – We identify what data is available and what data is needed for a working solution. If there is a gap between the two, can it be resolved and what is the quality of the data?
Learnability – Can we bring value with AI and ML? We train a minimal model to assess to what extend a sufficient model is feasible.

3. Proof of value

We develop a working model and push its performance in line with success criteria. If necessary, we roll out a temporary Data platform to leverage Cloud. This phase involves:

Proof of Value – Within 6 to 8 weeks we deliver first results with a working model and can show the business value of the project.
Optimization – We constantly improve the model until the aimed results are achieved.

4. Integration

Once the model is developed, we integrate it with existing or new systems. If necessary, we develop Cloud architecture or a Data Hub. This phase involves:

Taking it to production – We make the solution retrainable, scalable, efficient, enable versioned deployment, logging and auditing, model monitoring, bias and fairness analysis.
Technical Integration – We make the AI solution available for integration.
Handover & Training – We prepare your team to start using the solution.
Iterate & extend – Continuous improvement of the current solution and extend to the next use case

Why the Applied AI approach?

With our proven track record to activate data, we know how to create success in the shortest possible time and deliver use cases with meaningful results.