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DATA, AI, and Generative AI LEVERAGE YOUR DATA

Apside transforms data into a powerful strategic asset, accelerating and simplifying decision-making while offering a 360° view essential for evolving towards relevant and effective artificial intelligence. Its experts support you throughout the entire process of implementing data intelligence projects to gain a deep and comprehensive understanding of your data.

DATA, AI, and Generative AI

Services

Apside positions itself as a trusted partner for transforming data into a strategic lever for growth and innovation, offering a two-phased service approach:

  • Operational Consulting: Assessment of an organization’s data maturity, co-construction of pragmatic strategies, and identification of priority projects and actions.
  • Implementation: Execution of recommended solutions with a strong ROI focus, while adhering to regulatory and governance constraints.

 

  • Data Office

    Data Office

    Structure your data to maximize value from the most relevant information (internal, external), generate added value, and enhance your operational efficiency.

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    Data Factory

    Leverage all relevant data (internal, external, structured, unstructured) through the implementation of algorithms, and maximize the agile deployment of high-ROI data projects.

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    Data As A Product

    Transform data to make it sustainably usable, strengthening teams' operational efficiency by harmonizing practices and implementing a Data Catalog.

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    Data Vizualisation

    Facilitate decision-making by leveraging data, particularly through the implementation of Self BI.

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    Generative AI Acceleration

    Accelerate and unlock the advancement and maturity of AI processes and applications within the company to innovate, boost creativity, enhance productivity, and reduce costs.

DATA, AI, and Generative AI

Maturity Assessment and Maximizing ROI

Optimal data exploitation is crucial for personalizing customer/partner relationships and improving operational efficiency. Innovation and economic viability today depend on strategic data management. Additionally, regulatory challenges, including GDPR, the AI Act, and CSRD, impose strict constraints on data storage and management. Apside establishes a data governance framework compliant with these regulations, combining efficiency, profitability, and market expansion through new services.

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DATA, AI, and Generative AI

Culture and Training: Empowering Teams

Apside firmly believes in empowering its clients. Its offer for fostering a data-driven culture and skill development includes training programs and hands-on workshops. By sharing its expertise, Apside helps its clients capitalize on their added value and maximize their return on investment. Apside, certified Qualiopi for its training activities, offers its skills in Digital Learning and solutions for hybrid and digitalized training.

  • Culture: Knowledge sharing, collaborative ideation, and strategic prioritization;
  • Training: Detailed modules on the posture to adopt for data management.

DATA, AI, and Generative AI

Process

Scoping Phase:

  • Business: Understanding the client’s context, identifying necessary actions, and defining governance and KPIs;
    • Deliverable: Specifications, governance framework, and schedule.
  • Technical: Analysis and definition of the appropriate technical environment;
    • Deliverable: Updated architecture diagrams, tool selection matrix, market benchmark.
  • Data: Data analysis and project data mapping.

Execution: Implementation of infrastructures and tools agreed upon during the scoping phase, and realization of the specifications;

  • Deliverable: BI reports, descriptive analyses, models, decision-making matrices, documentation, key insights summary, templates.

Pilot with End Users:

  • Identification of users to test the solution;
  • Establishment of an evaluation grid;
  • Regular feedback sessions;
  • Go/No-Go decision before production;
    • Deliverable: POC report + pilot evaluation grid.

Recommendations & Action Plan:

  • Workshops (linking with their DATA strategy);
  • Reflection on the results and analysis;
  • Final report and additional guidelines (business, data, technical, etc.).
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