Artificial intelligence can help operational technology teams analyze vast datasets, reduce alert noise and improve decision-making. But industrial environments prioritize safety and uptime, and many still depend on legacy infrastructure that cannot support autonomous AI safely. Organizations must separate practical value from hype while governing shadow AI, supply chain exposure and workforce concerns.

In this session, the panel of experts will discuss:

• How knowledge search, firewall management and executive reporting provide manageable starting points for AI adoption;
• Why measurable business problems and incremental use cases should determine whether AI or simpler automation is appropriate;
• How human oversight, infrastructure modernization and change management can prepare industrial organizations for progressively greater autonomy.