Data & AI services

Data Science & Machine Learning

Develop and deploy advanced predictive models and AI solutions to enhance decision-making and automation.

 

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Data Scientist presenting an advanced predictive model and AI solution

What is Data Science & Machine Learning?

Data Science is a broad, complex field that combines the use of advanced math and statistics, programming, Artificial Intelligence (AI) and Machine Learning (ML) to examine large amounts of data, focusing particularly on predicting future trends and patterns. Data Science encompasses more specific areas such as Data Analytics and Data Engineering.

Machine Learning is, therefore, a core technology supporting Data Science. When they come together, Data Science & Machine Learning enable the development of predictive models and AI solutions to enhance decision-making and automation. As such, this service features the following pillars:

  • Data Science: predictive modeling, Natural Language Processing (NLP), computer vision, and statistical analysis.
  • Machine Learning engineering: deploying and optimising AI/ML models in production.
  • MLOps: automating ML lifecycle management (Continuous Integration/Continuous Delivery (CI/CD), monitoring, scaling).

Data Science & Machine Learning can make a difference for organisations looking to implement AI/ML strategies; businesses with large datasets needing insights; and companies wishing to value their data and assets to anticipate trends.

Data Science & Machine Learning with Alter Solutions

Discover how our Data Science & Machine Learning services can help your business:
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Predictive modeling

We develop sophisticated Machine Learning models to analyse historical patterns and forecast future outcomes and trends. Our predictive solutions help you anticipate customer behaviour, optimise operations, and identify emerging opportunities to get ahead of the competition.

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Computer Vision & NLP

We create computer vision applications that range from automated quality control to facial recognition systems. Plus, our NLP solutions enable intelligent document processing, sentiment analysis, and automated customer interactions.

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ML Engineering & MLOps

We implement robust frameworks for deploying, monitoring, and maintaining ML models at scale.

Our MLOps solutions automate the entire ML lifecycle, from data preparation to model deployment and monitoring.

The benefits of Data Science & Machine Learning

Predictive analytics

By leveraging predictive analytics, businesses can forecast future trends, market changes, and customer behaviours, empowering decision-makers to act proactively, make the most of on emerging opportunities, ensure long-term growth and competitive advantage.

Enhanced customer experience (CX)

Machine Learning models enable businesses to personalise their offer, predict customer behaviour, and optimise interactions, improving customer satisfaction, loyalty, and retention.

Optimised operations
By automating repetitive tasks and predicting outcomes, ML streamlines operations, reduces inefficiencies, and enhances decision-making, allowing businesses to focus on strategic growth while lowering operational costs.
Business transformation
Data Science & Machine Learning unlock new opportunities by enabling automation, driving innovation, and providing deep insights that lead to smarter, faster, and more informed decisions.
Continuous improvement
MLOps ensures models are continuously monitored and improved, allowing businesses to stay ahead of market trends, quickly adapt to changes, and maintain competitive advantage with responsive, high-performance solutions.
Data Scientists analysing data to forecast future market trends

Our technical expertise

Data Science & Machine Learning technical expertise

Getting started with Data Science & Machine Learning

Alter Solutions can help you implement a successful Data Science & Machine Learning strategy. Here’s how:
#1
Business understanding and problem definition

We translate business challenges into well-defined Data Science objectives, establish metrics and identify constraints.

#2
Data collection and exploration

To fully understand the potential and limitations of your data assets before the model development begins, we perform a thorough data analysis to uncover patterns and challenges.

#3
Data preparation and feature engineering

We establish the foundation for good model development by implementing sophisticated data cleaning procedures and developing automated feature engineering pipelines.

#4
Model selection and training

We select and develop the most suitable Machine Learning algorithms for your specific use case. We implement model training procedures, including cross-validation, to ensure model reliability and performance.

#5
Model validation and interpretability

Rigorous validation certifies that your models perform reliably under real-world conditions. We conduct comprehensive testing to ensure that.

#6
Deployment and MLOps integration

We establish automated deployment pipelines and integrate MLOps best practices to make sure that the model is as reliable and efficient as it can be.

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Post-deployment 

Our commitment extends beyond initial deployment, so count on us to provide regular performance analysis and proactive recommendations for updates and improvements.

Data experts integrating MLOps best practices

Our delivery models

Consulting & Audit
Whether you need model audits, algorithm evaluations, or strategic guidance for your data science initiatives, our experts collaborate closely with your organisation to assess your data science capabilities, processes, and technologies. We deliver actionable insights and strategic recommendations tailored to your business needs, including detailed assessments, roadmaps, and best practices for enhancing your Data Science and Machine Learning projects.
Team scaling
Reinforce your existing teams with our experienced data experts. This model allows you to quickly adjust team size based on project demands. Our experts work as an extension of your team, following your processes and methodologies while bringing fresh perspectives and specialised expertise. It’s the perfect approach for organisations needing to temporarily boost their development, testing, or operations capabilities.
Professional Services
End-to-end project delivery with defined scope, timelines, and outcomes. We take full responsibility for the project success, from initial planning through implementation and deployment. This model provides predictable costs and clear deliverables, making it ideal for organisations seeking turnkey solutions.
Managed Services
Your team can focus on core business activities while we handle the technical complexities of Data Science and Machine Learning operations. Our Managed Services include 24/7 support, continuous monitoring of models, proactive maintenance, automated incident response, and regular optimisation of your ML pipelines and algorithms.
On-site or Nearshore
We can adapt our delivery model to your specific needs. Our on-site experts integrate directly with your teams to implement and optimise data solutions. For organisations seeking cost-effective alternatives without compromising quality, our Nearshore model provides experienced teams in compatible time zones, ensuring effective collaboration and communication.
Alter Solutions' Data Scientist integrated into a client's team

Why Alter Solutions?

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From Data Science to production

By focusing on operational readiness from day one, we ensure AI investments translate into measurable business outcomes and sustainable competitive advantage. Our team combines data science excellence with production engineering expertise to build solutions that scale reliably in real-world environments.

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Use case-first approach

We begin every project by understanding specific business challenges and opportunities, as well as define clear success metrics, which then translate into concrete AI & data-driven solutions.

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Expertise in MLOps & Data Engineering

Our technical expertise spans the entire AI implementation lifecycle – by combining advanced Machine Learning capabilities with robust engineering practices, we are able to create maintainable, scalable, reliable AI systems with high-quality performance.

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Seamless integration with existing infrastructure

Whether you operate in the cloud, on-premises, or in hybrid environments, our solutions adapt to your infrastructure while maintaining performance and security.

Other Data & AI services

We operate across the entire data processing chain with other services like:

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Contact us today

Fill in our contact form and our dedicated Data & AI team will get back to you within 24 hours.

 

You can also e-mail us with more information about your project and requirements.

 

hello.brussels@alter-solutions.com