Artificial Intelligence, Data & Analytics
From context‑aware agentic systems to governed sovereign data platforms, Akkodis helps you turn complex data estates into real business outcomes, faster decisions, safer operations, and measurable ROI. We bring engineering depth, proprietary platforms, and a battle‑tested governance framework so AI moves from experiments to enterprise capability.
Akkodis is your partner in AI, Data & Analytics
Your data holds an untapped value. Our 2,000+ AI and data specialists, engineers, data scientists, and governance, privacy & security experts, combine platform IP, vertical knowhow, and an execution framework to deliver AI that works responsibly at scale, and grounded in ROI. Futureproof your business in the Age of Intelligence with our end-to-end expertise. Future-proof your business in the Age of Intelligence with our expertise and insights solutions.
Practice + Expertise
You have the data. We have the technology that can take that data and transform it into confident decisions at the macro and micro level, enabling you to drive innovation responsibly.
Unrivalled Business Intelligence
Elevate your organization into a cognitive enterprise, by combining deep expertise, AI & Machine Learning technologies and data that can deliver greater value to your enterprise and customers on a global scale.
Data and insights
Unlock the full potential of your data with Akkodis’ industry-leading and global award-winning capabilities in AI/ML and advanced analytics.
Enterprise mobility
Gain data security and compliance to empower your organization with future-ready mobile applications with integrated business processes, IT, and content.
Business Operations
Our experts with deep industry knowledge deliver our end-to-end capabilities to integrate your strategy, design, and technology to digitally reinvent your business.
The Akkodis AI Transformation Framework
We help you close the gap between pilots and production with five pillars that embed AI across your organization, securely and sustainably.
- Technology & Data Infrastructure
- People Development, Training & Enablement
- Cultural Adoption & Change Management
- Strategic Alignment, Value Management & Operational Excellence
- Governance, Risk & Compliance
Advanced Analytics & Business Intelligence
Your data is a strategic asset. We turn it into foresight and action creating dashboards for real-time visibility, automating reporting that eliminates manual effort, and predictive engines that anticipate what’s next. The result: faster decisions, lower operational risk, and consistent insights across the organization.
- Predictive & Prescriptive Analytics
- Interactive and Immersive Dashboards & Data Visualization
- Complex Report Automation
- Self-Service BI Enablement
- Decision Intelligence Systems
- Digital Twins & Simulation Analytics
- Real-time Decision-making
- Scalable BI Infrastructure
Data Platforms & Engineering
AI is only as good as the data beneath it. We design and operate modern data estates, fabric/mesh, streaming & real-time, and cloud native lake house on Azure, AWS, GCP, or sovereign infrastructure. The result: unify data, enforce governance, and deliver trusted, aIready pipelines.
- Sovereign and hybrid cloud data platform (Data@Scale Platform)
- Enterprise Data Fabric & Mesh Architecture
- Master Data Management & Data Quality
- Real-Time & Streaming Data Pipelines
- Data Security, Privacy & Governance
- Legacy Data Modernization
- Data Estate / Database administration
Cognitive & Agentic Systems
We build secure agentic AI, context aware systems that reason and execute multistep workflows. Designs incorporate bounded permissions, symbolic reasoning, and LLM/SLM/PMA models to ensure performance and compliance. The result: automate complex knowledge work safely, at enterprise scale.
- AI Agent Design, Development & Orchestration
- Retrieval-Augmented Generation (RAG) Systems
- Multi-Modal AI (Vision, Language, Document Intelligence)
- LLMOps & AI Platform Management
- AgentOps-as-a-Service
- Cognitive Computing Systems
- Simulation and Scenario Planning
- AI Modeling and Scientific Computation
- Adaptive Learning Systems
- AI-Driven Innovation Labs
Enterprise AI Enablement
We prioritize Responsible AI, ethics, governance, privacy, and security, so you can scale with confidence and avoid AI shadow IT. We align with emerging regulations and operationalize oversight. The result: build trustworthy systems that stand up to audit without slowing innovation.
- Responsible AI Framework Design & Implementation
- EU AI Act Readiness & Compliance
- AI Risk Management (AI-TRiSM)
- Automated Governance & Compliance Gates
- AI Steering Committee & Council Design
- AI Policy Development
- Privacy, Security & Trust Architecture
- AI Audit & Continuous Monitoring
- Operational / Technical Governance & Ops Oversight
Why leading enterprises choose Akkodis for AI, Data & Analytics
Proprietary Platforms, Not Just Services
AI-Core, Data@Scale, and our AI platform assets accelerate time-to-value and derisk delivery.
EU AI Act Ready Governance
Guardrails, registries, and automated compliance gates keep innovation moving safely.
Engineering DNA, Not Just Consulting
38 years of engineering heritage and 40,000+ experts. We build, integrate, and operate AI that works in production.
Global Scale, Local Delivery
On‑site, nearshore, and offshore centers across four hubs for cost, quality, and compliance balance.
Whole of Organization Transformation
AI Academy and Change Management ensure adoption and value realization.
Frequently Asked Questions About AI Solutions & Data Analytics
AI solutions and data analytics help organizations transform enterprise data into actionable insights, intelligent automation, and business outcomes. Together, they combine artificial intelligence, machine learning, advanced analytics, data engineering, and cloud technologies to support faster decision-making, improved operational performance, and innovation at scale.
While analytics helps organizations understand what has happened and why, AI enables systems to predict future outcomes, automate decisions, and generate recommendations. When these capabilities are integrated into day-to-day operations, organizations can move from reactive reporting to data-driven and AI-powered decision-making.
Akkodis helps organizations build and operationalize these capabilities through AI engineering, analytics, cloud platforms, and data modernization services that support scalable enterprise adoption.
While analytics helps organizations understand what has happened and why, AI enables systems to predict future outcomes, automate decisions, and generate recommendations. When these capabilities are integrated into day-to-day operations, organizations can move from reactive reporting to data-driven and AI-powered decision-making.
Akkodis helps organizations build and operationalize these capabilities through AI engineering, analytics, cloud platforms, and data modernization services that support scalable enterprise adoption.
The performance of any AI solution depends on the quality, accessibility, and governance of the data used to train and operate it. Many organizations continue to rely on fragmented legacy environments that make it difficult to scale analytics, machine learning, and generative AI initiatives.
Data modernization addresses these challenges by creating cloud-native, integrated, and governed data ecosystems. Modern platforms improve data quality, accessibility, security, and interoperability while enabling real-time analytics and AI workloads.
Akkodis supports data modernization through advanced data engineering, cloud transformation, and proprietary capabilities such as Data@Scale, helping organizations establish a strong foundation for analytics, machine learning, and generative AI adoption.
Data modernization addresses these challenges by creating cloud-native, integrated, and governed data ecosystems. Modern platforms improve data quality, accessibility, security, and interoperability while enabling real-time analytics and AI workloads.
Akkodis supports data modernization through advanced data engineering, cloud transformation, and proprietary capabilities such as Data@Scale, helping organizations establish a strong foundation for analytics, machine learning, and generative AI adoption.
Data analytics and AI are complementary capabilities that deliver greater value when deployed together. Analytics identifies patterns, trends, and opportunities within large volumes of data, while AI uses those insights to automate actions, generate predictions, and optimize business processes.
For example, analytics can identify operational bottlenecks or customer behavior patterns, while AI can recommend corrective actions, automate workflows, or predict future outcomes. This combination enables organizations to move beyond descriptive reporting and toward proactive, intelligent decision-making.
By integrating analytics and AI within a single operational framework, organizations can improve agility, increase efficiency, and unlock greater value from enterprise data assets.
For example, analytics can identify operational bottlenecks or customer behavior patterns, while AI can recommend corrective actions, automate workflows, or predict future outcomes. This combination enables organizations to move beyond descriptive reporting and toward proactive, intelligent decision-making.
By integrating analytics and AI within a single operational framework, organizations can improve agility, increase efficiency, and unlock greater value from enterprise data assets.
An AI-ready data platform provides the infrastructure, governance, and scalability required to support advanced analytics, machine learning, and generative AI initiatives. Core components typically include cloud-native architecture, data integration capabilities, governance controls, real-time processing, security frameworks, and scalable storage and computing resources.
Organizations also require robust data quality management, metadata management, and access controls to ensure AI systems operate reliably and securely. Without these foundations, AI initiatives often face challenges related to performance, trust, and scalability.
Akkodis helps organizations design and implement AI-ready platforms that support enterprise-wide analytics and AI deployment while maintaining governance, security, and compliance requirements.
Organizations also require robust data quality management, metadata management, and access controls to ensure AI systems operate reliably and securely. Without these foundations, AI initiatives often face challenges related to performance, trust, and scalability.
Akkodis helps organizations design and implement AI-ready platforms that support enterprise-wide analytics and AI deployment while maintaining governance, security, and compliance requirements.
Many organizations successfully develop AI proofs of concept but struggle to operationalize them across the enterprise. Moving from pilot to production requires more than model development—it requires standardized processes, scalable infrastructure, governance frameworks, and continuous operational management.
Akkodis industrializes AI by managing the entire lifecycle, including strategy alignment, data engineering, model development, deployment, monitoring, optimization, and governance. This approach ensures AI solutions become repeatable, secure, and scalable business capabilities rather than isolated experiments.
Supported by global delivery capabilities, AI engineering expertise, and proprietary accelerators such as AI Core, Akkodis helps organizations accelerate deployment while reducing risk and operational complexity.
Akkodis industrializes AI by managing the entire lifecycle, including strategy alignment, data engineering, model development, deployment, monitoring, optimization, and governance. This approach ensures AI solutions become repeatable, secure, and scalable business capabilities rather than isolated experiments.
Supported by global delivery capabilities, AI engineering expertise, and proprietary accelerators such as AI Core, Akkodis helps organizations accelerate deployment while reducing risk and operational complexity.
MLOps (Machine Learning Operations) is a set of practices that standardizes how machine learning models are developed, deployed, monitored, and maintained in production environments. Similar to DevOps for software development, MLOps enables organizations to automate testing, deployment, governance, performance monitoring, and model lifecycle management.
Without MLOps, machine learning initiatives often become difficult to scale because models require ongoing maintenance, retraining, and monitoring. MLOps improves reliability, accelerates deployment cycles, and helps organizations maintain consistent model performance over time.
Akkodis incorporates MLOps frameworks into its AI delivery approach to help enterprises deploy and manage machine learning solutions efficiently and securely at scale.
Without MLOps, machine learning initiatives often become difficult to scale because models require ongoing maintenance, retraining, and monitoring. MLOps improves reliability, accelerates deployment cycles, and helps organizations maintain consistent model performance over time.
Akkodis incorporates MLOps frameworks into its AI delivery approach to help enterprises deploy and manage machine learning solutions efficiently and securely at scale.
LLMOps (Large Language Model Operations) extends operational best practices to generative AI and large language models. It encompasses deployment, monitoring, governance, optimization, security, prompt management, and ongoing lifecycle management for AI systems operating in production.
As organizations deploy generative AI across customer service, software development, knowledge management, and business operations, managing model performance and compliance becomes increasingly important. LLMOps helps ensure AI systems remain reliable, secure, explainable, and aligned with enterprise governance requirements.
Akkodis integrates LLMOps into its generative AI delivery model to help organizations scale AI solutions while maintaining operational control and business trust.
As organizations deploy generative AI across customer service, software development, knowledge management, and business operations, managing model performance and compliance becomes increasingly important. LLMOps helps ensure AI systems remain reliable, secure, explainable, and aligned with enterprise governance requirements.
Akkodis integrates LLMOps into its generative AI delivery model to help organizations scale AI solutions while maintaining operational control and business trust.
Microsoft Azure AI and Databricks provide complementary capabilities that enable organizations to build, deploy, and scale AI solutions efficiently. Azure AI offers cloud infrastructure, AI services, machine learning tools, and security capabilities, while Databricks provides a unified environment for data engineering, analytics, and machine learning.
Together, these platforms help organizations accelerate data preparation, model development, deployment, and ongoing optimization. They also support governance, performance management, and enterprise scalability across multiple use cases.
Akkodis leverages deep expertise across both ecosystems, supported by certifications including AI-900, AI-102, DP-100, and AZ-900, to help clients accelerate AI and data initiatives from concept to production.
Together, these platforms help organizations accelerate data preparation, model development, deployment, and ongoing optimization. They also support governance, performance management, and enterprise scalability across multiple use cases.
Akkodis leverages deep expertise across both ecosystems, supported by certifications including AI-900, AI-102, DP-100, and AZ-900, to help clients accelerate AI and data initiatives from concept to production.
When deployed effectively, AI and data analytics can generate measurable business outcomes across the enterprise. Organizations can improve operational efficiency, reduce costs, accelerate decision-making, enhance customer experiences, increase workforce productivity, and improve forecasting accuracy.
AI and analytics also support innovation by enabling organizations to identify new opportunities, optimize resource allocation, and respond more effectively to changing business conditions. The greatest value is achieved when these capabilities are embedded into core business processes and continuously improved.
Akkodis focuses on delivering scalable and measurable outcomes that align AI investments with operational and strategic business objectives.
AI and analytics also support innovation by enabling organizations to identify new opportunities, optimize resource allocation, and respond more effectively to changing business conditions. The greatest value is achieved when these capabilities are embedded into core business processes and continuously improved.
Akkodis focuses on delivering scalable and measurable outcomes that align AI investments with operational and strategic business objectives.
Akkodis differentiates itself through its ability to combine AI consulting, data engineering, analytics, cloud integration, governance, and enterprise-scale deployment within a single delivery model. This enables organizations to move from strategy to implementation and operationalization with a consistent and scalable approach.
The company brings together more than 2,000 AI and data specialists worldwide, a Microsoft partnership dating back to 2014, strategic collaboration with Databricks, and certifications including AI-900, AI-102, DP-100, and AZ-900. Proprietary capabilities such as AI Core and Data@Scale further accelerate delivery, scalability, and business value.
By combining technical expertise with industrialized delivery practices, Akkodis helps organizations transform data and AI investments into production-ready solutions that generate sustainable business outcomes.
The company brings together more than 2,000 AI and data specialists worldwide, a Microsoft partnership dating back to 2014, strategic collaboration with Databricks, and certifications including AI-900, AI-102, DP-100, and AZ-900. Proprietary capabilities such as AI Core and Data@Scale further accelerate delivery, scalability, and business value.
By combining technical expertise with industrialized delivery practices, Akkodis helps organizations transform data and AI investments into production-ready solutions that generate sustainable business outcomes.