AI & Machine Learning

AI & Machine Learning
AI & Machine Learning

Machine Learning for Businesses with DIVINT

Machine Learning for Businesses with DIVINT

Machine Learning for Businesses with DIVINT

Precise forecasts, for example, for demand

Precise forecasts, for example, for demand

Compliance and audit-ready

Compliance and audit-ready

Productive in just 6-10 weeks

Productive in just 6-10 weeks

These companies
trust DIVINT
These companies trust DIVINT
These companies trust DIVINT

How can AI and Machine Learning be used in your company?

With AI and data, your daily life becomes easier: routines run automatically, decisions are based on facts, and customers receive more suitable offers. We start small with a specific topic (e.g., early detection of churn or better demand planning), set up a simple data connection, and launch an initial solution live within 6-10 weeks, which we demonstrate its benefits with a comparison test.

Services

Our machine learning focus areas at a glance

Our machine learning focus areas at a glance

Data Strategy & Use Case Prioritization

We identify value-creating use cases, assess data availability and ROI, and develop an actionable roadmap from MVP to rollout.

Data Strategy & Use Case Prioritization

We identify value-creating use cases, assess data availability and ROI, and develop an actionable roadmap from MVP to rollout.

Data Strategy & Use Case Prioritization

We identify value-creating use cases, assess data availability and ROI, and develop an actionable roadmap from MVP to rollout.

Data Preparation & Feature Engineering

From raw data collection through cleaning, labeling, and feature engineering to the training/validation pipeline – the foundation for robust models.

Data Preparation & Feature Engineering

From raw data collection through cleaning, labeling, and feature engineering to the training/validation pipeline – the foundation for robust models.

Data Preparation & Feature Engineering

From raw data collection through cleaning, labeling, and feature engineering to the training/validation pipeline – the foundation for robust models.

Model Development (Classical & Deep Learning)

Selection and training of suitable algorithms (e.g., Gradient Boosting, time series, NLP, computer vision, deep learning), including hyperparameter tuning and explainability.

Model Development (Classical & Deep Learning)

Selection and training of suitable algorithms (e.g., Gradient Boosting, time series, NLP, computer vision, deep learning), including hyperparameter tuning and explainability.

Model Development (Classical & Deep Learning)

Selection and training of suitable algorithms (e.g., Gradient Boosting, time series, NLP, computer vision, deep learning), including hyperparameter tuning and explainability.

MLOps & Integration

CI/CD for models, reproducible training runs, model registries, API/batch serving, and integration into existing applications and processes.

MLOps & Integration

CI/CD for models, reproducible training runs, model registries, API/batch serving, and integration into existing applications and processes.

MLOps & Integration

CI/CD for models, reproducible training runs, model registries, API/batch serving, and integration into existing applications and processes.

Monitoring, A/B Testing & Drift Detection

Continuous performance monitoring, fairness/bias checks, data and concept drift detection, as well as controlled A/B rollouts instead of a big bang approach.

Monitoring, A/B Testing & Drift Detection

Continuous performance monitoring, fairness/bias checks, data and concept drift detection, as well as controlled A/B rollouts instead of a big bang approach.

Monitoring, A/B Testing & Drift Detection

Continuous performance monitoring, fairness/bias checks, data and concept drift detection, as well as controlled A/B rollouts instead of a big bang approach.

Governance, Data Protection & Ethics

GDPR-compliant data processing, role/rights concepts, audit trails, model transparency, and responsible AI policies.

Governance, Data Protection & Ethics

GDPR-compliant data processing, role/rights concepts, audit trails, model transparency, and responsible AI policies.

Governance, Data Protection & Ethics

GDPR-compliant data processing, role/rights concepts, audit trails, model transparency, and responsible AI policies.

Your advantages

Why Machine Learning – and what happens without it?

With DIVINT as your partner, you benefit from clear advantages. Without machine learning, however, potential remains untapped and risks persist:

With DIVINT Machine Learning

With DIVINT Machine Learning

Benefits

Automated processes and noticeable efficiency gains

More accurate predictions (demand, churn, risk) and better decisions

Personalized experiences & recommendations for higher conversion/NRR

Early detection of fraud/anomalies and reduced risk of damage

Scalable insights from structured & unstructured data

Measurable business impact through MVPs, A/B tests, and continuous optimization

Without Machine Learning

Disadvantages

Decisions Based on Intuition Rather Than Data

Manual, error-prone processes and lengthy lead times

Unused data potentials in logs, texts, images, sensors

Increased risks due to lack of anomaly and fraud detection

Reduced relevance for customers due to lack of personalization

Difficult to scale insights and competitive disadvantages

FAQ

Frequently Asked Questions

What is Machine Learning?

What is Machine Learning?

For which company sizes is IT support beneficial?

For which company sizes is IT support beneficial?

How does an ML project start?

How does an ML project start?

Are internal specialist departments involved?

Are internal specialist departments involved?

How long does the implementation take?

How long does the implementation take?

Are projects possible remotely as well?

Are projects possible remotely as well?

How is the service billed?

How is the service billed?

Which tools and technologies are supported?

Which tools and technologies are supported?

How does ML address data protection, bias, and compliance?

How does ML address data protection, bias, and compliance?

What results are realistic?

What results are realistic?

Thang Nguyen

CEO, DIVINT

In a free consultation, you will find out how Fabric can transform your business.

Thang Nguyen

CEO, DIVINT

In a free consultation, you will find out how Fabric can transform your business.

Thang Nguyen

CEO, DIVINT

In a free consultation, you will find out how Fabric can transform your business.