Automating the event management process has become crucial. It enables organizations to streamline the capture, triage and routing of cases and non-conformances to appropriate channels, extending to tasks like proper coding. Moreover, companies are exploring how artificial intelligence (AI) can facilitate more efficient and accurate investigations without duplicating previous efforts.
Beyond event management, organizations are philippines whatsapp number data seeking a more holistic view of their reporting and understanding of the entire value chain. Rather than relying solely on point solutions from vendors like SAP or Microsoft, there’s a growing trend toward centralized data warehouses or data lakes. This approach allows companies to consolidate data from disparate systems, providing insights into inefficiencies, areas for improvement, and overall operational performance. when working with companies that have a range of differing data sets, data structures, and data sources across their existing systems, for example in companies that have grown through mergers and acquisitions and that have left legacy systems in place, or companies that have a range of different deployment and configurations of the same technological solution (i.e., multiple ERP or PLM systems).
However, as automation and AI become more prevalent in QM processes, organizations face the challenge of determining the right balance between automated and human-driven activities. While most quality professionals agree that automation and AI can’t entirely replace human involvement, there may be specific processes where manual work can be minimized. This human-in-the-loop approach is an ongoing industry dialogue, ensuring necessary checks and balances through human oversight.