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Le baromètre de notre réussite"
« Je considère Agaetis comme un guide de haute montagne, qui nous a aidé à la gravir. Agaetis nous accompagne pour concrétiser une vision. Nous souhaitons offrir une expérience à nos clients et c’est cette expérience qui est au coeur de notre relation.»
CEO Platform Garden
“Agaetis nous a guidés avec des conseils précieux pour faire les bons choix en IA générative, en privilégiant des solutions concrètes et efficaces. Nous avons concrétisé un projet d’IA générative qui améliore déjà nos processus et innove notre manière de penser ”
Project Context Michelin aimed to develop a new generation of digital services based on data from connected tires. The goal was to deliver added value to truck fleet managers and maintenance centers worldwide. The challenge lay in the collection, processing, and supervision of massive sensor data, while ensuring robustness, scalability, and relevance of analytics. Objectives The main objective was to establish a technical and architectural framework to: Efficiently collect and process data from connected tires Monitor data flows and measure the impact of business use cases Create a Big Data platform ready to evolve with growing data volumes Mission Duration A long-term engagement , combining initial architectural study, implementation of monitoring systems, and ongoing support. Implementation Agaetis leveraged its Data and Cloud expertise to: Initial architecture study: Define technological and structural choices Platform monitoring: Implement monitoring principles to ensure robustness and availability Load analysis: Evaluate the impacts of various business use cases Big Data framework definition: Integrate best practices to accelerate implementation Data Science work: Perform domain-specific analysis and develop new indicators and services Results Achieved New digital services: Creation of innovative solutions for fleet managers Robust and scalable platform: A Big Data environment ready to handle massive data volumes Operational optimization: Improved traceability and KPI tracking Enhanced innovation: Data transformed into strategic levers for Michelin Key Success Factors Agaetis’ expertise in Big Data and IoT data processing End-to-end methodology: From architecture to Data Science Immersion in the client’s business environment Proactive supervision ensuring robustness and reliability And You? Are you wondering about: Leveraging data from your connected equipment ? Creating new digital services based on Data? Implementing a robust and scalable Big Data architecture ? 👉 Contact our experts to transform your IoT data into innovative, value-generating services.
Project Context France’s first research foundation dedicated to innovation in pain management aimed to launch a market-ready application resulting from its clinical research and development program. The goal was to transform the app into a Digital Therapeutic (DTx) reimbursed by the national health insurance system. Objectives The organization focuses on driving healthcare innovation through extensive collaborations with hospitals, research institutes, universities, and technology companies. The main challenges included: Transforming an application into a Digital Therapeutic (DTx) reimbursed by the national health system. Managing the transition of patients to this new platform. Preparing a new data warehouse to support scientific research. Mission Duration 3 collaborators over 3 years Methodology Agaetis provided its expertise through targeted and structured actions: Audit of existing systems: Evaluation of current infrastructure to identify needs and areas for improvement. Decision support for partner selection: Assistance in choosing competent and reliable technology partners. Technology advisory: Guidance on application architecture, security, and scalability to ensure long-term viability. Results Achieved Development of an application supporting patients in chronic pain management, progressing toward recognition as a reimbursable DTx. Rigorous technical assessment and selection of strategic partners. Adherence to roadmap milestones , ensuring steady progress and alignment with expectations. This project highlights how Agaetis leverages its technological and strategic expertise to transform challenges into innovative, effective solutions — creating tangible value for clients in the healthcare sector.
Context The topic of artificial intelligence is a major issue for an insurance and digital services group. The 2024 edition of a trade fair dedicated to local authorities, sponsored by the company, will focus on AI serving humanity . The company’s clients are already asking about its positioning regarding AI, and it aims to demonstrate its concrete commitment to this path. Proposal Support in developing an AI strategy and translating it into a 2- to 3-year roadmap , including the implementation of three proof-of-concept (POC) projects. Conclusion The POCs aim to demonstrate the practical capabilities of AI to improve support services, provide regulatory assistance, and facilitate multilingual communication. By assisting the company in defining and implementing its AI strategy, these POCs will showcase its commitment to innovation and continuous improvement of its services. 1. POC #1: Omnichannel Orchestrator for User Support Objective: Reduce employee workload and improve service quality. Solution: An omnichannel orchestrator that routes user requests to the best resolution channel. Technology Partner: A conversational orchestration solution provider. Timeline: 4 to 6 weeks. Budget: 12 to 15 joint workdays. Stakeholders: Support manager, customer relations expert, partner technical expert. 2. POC #2: AI Assistant for Urban Planning Objective: Provide additional regulatory assistance to municipal services. Solution: A chatbot based on a multi-source knowledge base, answering urban planning questions. Technology Partner: A specialized AI integrator. Timeline: 4 weeks. Budget: To be defined with partners. Stakeholders: Urban planning managers, AI experts, data scientists. 3. POC #3: Multilingual Chatbot for Local Authorities Objective: Facilitate communication between citizens and local administrations in multiple languages. Solution: A chatbot powered by public information from a website and other sources, supporting 3 to 4 languages. Technology Partner: A specialized AI integrator. Timeline: 4 weeks. Budget: To be defined with partners. Stakeholders: Web and business managers, AI experts, data scientists.
Project Context As part of its digital transformation program, a global leader in the tire industry launched a strategic initiative to modernize its IT infrastructure. The company aimed to deploy a Container-as-a-Service (CaaS) platform to accelerate application development and enhance agility in a highly competitive market. Objectives The main objective was to provide a robust Kubernetes foundation capable of: Hosting the majority of the company’s applications Ensuring fast and secure scalability Reducing time-to-market while optimizing infrastructure costs The challenge lay in successfully adopting and integrating Kubernetes within the IT department while balancing innovation, security, and operational continuity . Mission Duration Two consultants over four years , providing continuous support to define, build, and evolve the CaaS platform. Implementation To achieve these objectives, Agaetis adopted a progressive approach: Design and maintenance of the CaaS platform: Tailor-made architecture based on Kubernetes, designed for adaptability and long-term sustainability. Long-term partnership: Close collaboration with the client’s internal teams to co-develop the solution and adapt to evolving needs. Operational optimization: Implementation of modern DevOps practices (CI/CD, monitoring, security) to automate and secure deployments. Continuous innovation: Regular integration of the latest Kubernetes advancements to ensure a modern, high-performance platform. Results Achieved The deployment of this CaaS platform enabled: Enhanced agility: Rapid deployment of containerized applications across multiple environments. Improved performance: High availability, reduced downtime, and faster response times. Cost optimization: Better management of hardware and software resources. Accelerated innovation: Adoption of Kubernetes as a catalyst for digital transformation and operational efficiency. Key Success Factors Strong Kubernetes expertise from Agaetis teams. Co-construction with the client’s internal teams, ensuring ownership and skill transfer. Continuous technological watch guaranteeing a secure and up-to-date platform. Long-term partnership built on trust and transparency. And You? Are you wondering about: Modernizing your IT infrastructure? Adopting Kubernetes to accelerate your application development? Implementing a Container-as-a-Service platform tailored to your business needs? 👉 Contact our experts to discover how to transform your application strategy with Kubernetes.
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