Innovazione nel manufacturing: esperienze concrete e nuove sfide
Invited to a roundtable bringing together industry professionals to discuss practical experiences in manufacturing innovation and the challenges ahead.
Speaking
Talks built for industrial audiences: grounded in factory reality, focused on what is changing and what actually scales.
Core themes
Human capability as the measure of industrial progress.
Why the second factory is often the real test.
A pragmatic view of embodied AI alongside conventional automation.
AI as an amplifier of engineering judgment and decision quality.
Formats
A clear point of view supported by factory reality and practical decision frameworks.
Direct discussion on human-centered manufacturing, industrial AI and Physical AI.
A bridge between industrial engineering fundamentals and emerging technology.
Working sessions focused on use cases, readiness, ownership and pilot-to-scale execution.
Selected engagements
Selected invited talks and university sessions connecting manufacturing practice with emerging technology.
Invited to a roundtable bringing together industry professionals to discuss practical experiences in manufacturing innovation and the challenges ahead.
Panel discussion on industrial digitalisation, AI and advanced robotics, exploring how factories can improve productivity and sustainability while keeping people at the centre of technological change.
Keynote on how AI is reshaping manufacturing processes, grounded in industrial applications and the path from technology potential to operational value.
Invited speaker in the Zero-Defect Manufacturing session, with a 15-minute industry contribution.
A seminar on why digital transformation becomes durable only when technology, operating practice and organizational culture evolve together.
A factory-based introduction to electric drives and automation, including energy efficiency, MES, regenerative braking, digital twins, cybersecurity and AI.
Public trail
What audiences leave with
Where new technology creates value, where conventional automation remains stronger and where evidence is still missing.
How architecture, lifecycle ownership, adoption and the second deployment determine whether innovation scales.