Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental input–output data. This ...

Vast Data expands AI Operating System with global control plane, zero-trust agent framework and deeper Nvidia integration - ...

We are sleepwalking into a skills gap in Artificial Intelligence (AI).

Streamline Control and Snowflake deliver a unified data foundation that helps energy organizations modernize faster and ...

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.

In the modelic control paradigm, the first step is to establish a dynamic model through system identification. This model offers a continuous but inaccurate description of state transition information ...

How Governance-by-Design Frameworks Are Reshaping Responsible AI in Enterprise Systems As artificial intelligence cont ...

How finance and operations leaders can take back control of their telecom spending by using a data-driven approach ...

In the race to net-zero emissions, real-time data is the unsung hero. Event-driven systems—powered by technologies like Apache Kafka—are transforming how industries manage energy, optimize resources ...

Dr. Suruchi Kothari, BSc, MD, MRCGP, MSx: Health tech innovator reshaping clinical care. Driven by a tech-forward, patient-centric approach. Imagine a healthcare system where a patient's heart monitor ...

You often hear entrepreneurs say, “We don’t know what we don’t know,” when talking about deficiencies in data gathering. But when you have data in silos, it’s more a case of “We don’t know what we DO ...