Industry: Industry and Manufacturing

  • Building DATA team for a Manufacturing sector

    Building DATA team for a Manufacturing sector

    The platform had been designed and implemented by an external project team. The key challenge was ensuring a complete, structured, and transparent transfer of the solution to the internal engineering team.

  • Strengthening Cybersecurity in Manufacturing

    Strengthening Cybersecurity in Manufacturing

    The expansion of the OT environment and its integration with the corporate network increased the attack surface. An internal audit revealed the absence of a consistent security approach in the industrial environment.

  • Cloud Talent Recruitment for Manufacturing

    Cloud Talent Recruitment for Manufacturing

    The existing infrastructure was largely based on on-premises solutions managed locally at individual plants. The migration to the cloud required new architectural and operational capabilities that were not available within the current team.

  • Scaling AI & ML team in the Industry sector

    Scaling AI & ML team in the Industry sector

    Operational data was being collected, but analysis was mainly retrospective. Maintenance teams reacted to failures instead of preventing them, and production planning relied on static assumptions.

  • Scaling Azure Data Engineering & Databricks team

    Scaling Azure Data Engineering & Databricks team

    One of the world’s leading airlines was executing a program to scale its cloud-based data platform supporting critical operational and analytical processes. The rapid growth of data volumes and increasing needs of analytics and operational teams required: