Overview
- At the Pilares IA events on Thursday and Friday, logistics firms including Grupo Messina and Andreu Logística described concrete gains such as automated route optimization, real‑time fleet monitoring and invoice data extraction.
- Large surveys by the University of Melbourne with KPMG found high rates of unverified trust and hidden use of AI while a cited MIT analysis reports roughly 95% of corporate AI spending fails to produce measurable value.
- Providers and programs like Globant and Egg’s AI Talent Shift argue the main barrier is organizational, not technical, pointing to weak strategy, poor process design, limited skills and shaky change management.
- Reporting flagged common operational risks such as employees using personal AI tools, uploading confidential data to unsecured platforms and accepting AI outputs without human verification.
- Experts recommend a clear sequence to capture value: define objectives, run diagnostics, set governance or oversight committees, reskill staff and redesign processes so AI augments verified human decision‑making.