Data Science, Business Intelligence and Artificial Intelligence

Antaes supports organizations in collecting,analyzing andexploiting their data. Our Data and AI experts create intelligent solutions to improve decision-making, optimize processes and generate competitive advantage.

Tell us about your challenges

The challenges of Data and Artificial Intelligence

In the age of big data andartificial intelligence, organizations need to leverage their data as a strategic asset to remain competitive. Data-driven transformation requires an integrated approach combining advanced technologies, data governance and business expertise.

Current issues include :

Harnessing the potential of massive data for decision-making
Implementing AI and Machine Learning for process automation
Data governance and regulatory compliance (GDPR, ISO 27001)
Real-time data visualization and reporting
Data security and protection of sensitive data

Tell us about your challenges

Our teams provide :

Data and Big Data Architecture

Modern data platforms

Big Data architecture and scalable data lakes
Automated data pipelines and ETL/ELT
Real-time data streaming and batch processing
Cloud data platforms (AWS, Azure, GCP)

Business Intelligence and Analytics

Visualization and reporting

Interactive dashboards and automated reporting
Data visualization with Power BI, Tableau, Qlik
Advanced analytics and performance indicators
BI self-service and the democratization of data

Artificial Intelligence and Machine Learning

Tailor-made AI solutions

Predictive and prescriptive Machine Learning models
Deep Learning and neural networks
Natural language processing (NLP) and computer vision
MLOps and industrialization of AI models

Data Science and Analytics

Insights and predictions

Statistical analysis and predictive modeling
Segmentation and behavioral analysis
Optimization and operations research
A/B testing and data-driven experimentation

Data Governance and Security

Compliance and quality

Data governance and data quality
RGPD compliance and personal data protection
Data security and encryption
Master Data Management (MDM) and repositories

Data Engineering

Infrastructure and integration

Data engineering and distributed architecture
Integration of heterogeneous sources and APIs
Performance optimization and scalability
Monitoring and observability of data systems

Examples of Data, BI and AI expert profiles

Our teams bring together experienced data scientists and BI experts covering the full range of skills required for data-driven transformation. Each profile brings specialized expertise to guarantee the success of your Data and Artificial Intelligence projects.

Advanced statistical analysis and predictive modeling
Machine Learning and optimization algorithms
Data visualization and storytelling with data
Experimentation and A/B testing for optimization
Transforming raw data into actionable insights

Dashboard design interactive and KPIs

Dimensional modeling and datawarehouse
BI self-service and business user training
Optimizing BI reportperformance
BI architecture and indicator governance

Big Data architecture and cloud platforms
Robust ETL/ELT pipelines and real-time streaming
Data lakes and modern data warehouses
Data integration and data quality
Scalability and optimization of data infrastructures

‍

Infrastructure automation and Infrastructure as Code
CI/CD pipelines for infrastructure deployment
Configuration management and orchestration
Infrastructure monitoring and observability
DevOps culture and development/operations collaboration

Data governance and regulatory compliance

Data quality and data repositories

Security and protection of sensitive data

Data policy and compliance training

Audit and control of data processes

Application areas

Digital / Public sector

Citizen analytics, open data, AI for public services, public performance dashboards, public data compliance.

Life Sciences & Biotech

Clinical and researchdata, drug discovery with AI, regulatory statistical analysis, real-world evidence.

Industry

‍

Predictive maintenance, production optimization, IoT analytics, computer vision quality, supply chain analytics.

Banking & Finance

Core banking architectures, high-availability systems, IT regulatory compliance, high-frequency trading infrastructures.

Methodologies & tools mastered

Languages : Python, R, SQL, Scala, Java for data science

Big Data: Spark, Hadoop, Kafka, Databricks, Snowflake
BI Tools: Power BI, Tableau, Qlik, Looker, Grafana
ML/IA: TensorFlow, PyTorch, Scikit-learn, MLflow, Kubeflow
Cloud: AWS, Azure, GCP AI and data services
Bases: PostgreSQL, MongoDB, Elasticsearch, Neo4j

Why choose Antaes?

An approach focused on innovation and software quality
The ability to design customized solutions tailored to your business challenges
Multi-technology expertise and agile methodologies
A team capable of managing your projects from concept to production
Scalable, secure, high-performance solutions to support your digital transformation

Tell us about your challenges

Do you have a Data, BI or AI project to develop?

Our experts in Data Science, Business Intelligence and Artificial Intelligence can help you make the most of your data and create intelligent solutions tailored to your business challenges.

Contact Antaes