Data & AI
Today’s marketplace is governed by agility and digitalisation, with successful companies demonstrating the ability to make quick decisions based on reliable information to meet the market’s needs (Time to Market).
Service Details
Our Data & Artificial Intelligence Offering
In a context where data is at the core of performance, the challenge for organizations is no longer merely to store or collect information, but to structure it, understand it, and transform it into value through Data technologies and Artificial Intelligence.
Objectware supports its clients across the entire data management value chain, from data ingestion to AI-driven advanced analytics, in order to enhance performance, anticipation, and decision-making.
A Unified and Modern Data Approach
Our consultants intervene across the full data lifecycle:
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Data collection, integration, and ingestion
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Data quality, governance, and security
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Modeling and storage
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Analysis, visualization, and exploration
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AI, machine learning, and intelligent automation
This holistic vision gives meaning to data, improves its reliability, and generates high–value-added insights.
Our Areas of Expertise
1. Data & AI Consulting and Architecture
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Support in selecting Data and AI solutions
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Definition of Data architectures (Data Lake, Data Warehouse, Lakehouse)
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Functional and technical scoping
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Data & AI maturity assessment and roadmap definition
2. Data Engineering: Building Strong Foundations
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Design and evolution of Data platforms
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Ingestion and processing of large volumes of data
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Migration, modernization, and optimization of Data environments
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Automation and continuous integration pipelines (Data CI/CD)
Technical expertise:
Hadoop, Spark, MapR, HBase, MongoDB, Cassandra, SOLR, ELK…
3. Data Analytics & Visualization
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Data structuring and reliability improvement
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Analytical modeling
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Dashboards, reporting, and interactive visualizations
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Descriptive, exploratory, and advanced analytics
Technical expertise:
Power BI, Tableau, Qlik, SAP BI, MicroStrategy, SAS, market ETL tools (Informatica, Datastage, Talend…)
4. Artificial Intelligence & Data Science
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Development of predictive and prescriptive models
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Machine Learning / Deep Learning
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Natural Language Processing (NLP, NLU)
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Chatbots and intelligent automation
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Anomaly detection, segmentation, scoring
Technical expertise:
Python, R, Scala, Data Science notebooks, ML/DL frameworks, AI pipelines…
OBJECTIVE : Transform data into a strategic asset, improve decision-making, and strengthen overall performance through intelligent and controlled data exploitation.