How Data Management Tools Can Help Unpack the Unique Link Between Data and Industrial AI

Industrial leaders understand that AI success depends on more than algorithms, it requires a strong, connected data foundation. While purpose-built Industrial AI can deliver value on its own, organizations that effectively manage and contextualize data are better positioned to scale impact and sustain competitive advantage.

As data volumes and operational complexity increase, siloed systems limit visibility and slow decision-making. Modern industrial data management platforms securely connect OT and IT environments, providing real-time, enterprise-wide insight without disrupting critical operations.

Download this white paper to learn how forward-thinking organizations are using industrial data management to:

  • Create enterprise-wide visibility across assets, plants and systems
  • Enable AI initiatives with trusted, contextualized operational data
  • Improve operational efficiency, reliability and sustainability outcomes
  • Build a scalable digital foundation that supports long-term business resilience

Discover how BASF, Bayer and TotalEnergies are leveraging AspenTech Inmation to centralize real-time operational data at global scale, driving measurable improvements in reliability, efficiency, safety and emissions reduction while enabling enterprise-wide AI adoption.

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