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ISA provides technical resources and standards to help industrial automation professionals advance their careers and the field. We enable automation professionals worldwide to solve problems and enhance their skills by bringing people together to create new technologies and share best practices with future automation professionals.-
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1,032 Results Found
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Siemens Recognized as a Visionary in Gartner Magic Quadrant for AI Platforms for Data Science and Machine Learning
An industry analyst report recognizes Siemens as a Visionary in the current AI platforms for Data Science and Machine Learning. -
Why Smart Factories Are Still Leaving AI on the Table
The transition from static, siloed automation to a dynamic, agentic ecosystem is underway across the industry. -
Ask the Automation Pros: What University Projects Are Needed to Support Process Control?
Like a lot of things in engineering and construction, it’s hard to teach everything and risky not to, but getting it right the first time saves time and money. -
The Quiet Cost of Maintenance Inefficiency
When paired with strong data discipline, AI can help organizations identify where time, effort and budget are being misallocated. -
Datanomix Brings Production-Tested AI to Automate 2026
Datanomix is showing what AI looks like when it's running on real machine data, helping shop owners answer the one question that matters: Are we improving? -
74% of Manufacturers Caught in 'Data Chaos' Despite Increasing Tech Spend
New research by L2L finds that more than 65% of supervisors waste up to four hours per shift on manual data entry and reconciliation. -
Rethinking Continuous Process Verification with Advanced Analytics
Companies are evolving from static reports to living models by strengthening their data backbone with advanced analytics and AI platforms. -
Siemens and Partners Develop Reference Architecture Purpose-Built for NVIDIA AI Data Centers
As AI factories become more pronounced in the data center industry, next-generation platforms such as NVIDIA Vera Rubin NVL72 are redefining infrastructure requirements. -
Cognite Positioned as a Front Runner in LNS Research Solution Selection Matrix for Industrial AI Platforms
Cognite is recognized in three key areas: depth in user-centric industrial AI applications, its knowledge graph-based data model and its strong partner ecosystem. -
To Unlock Industrial AI’s Potential, We Need Frontline Worker Insights
Frontline maintenance insights are the key to accelerating innovation and unlocking its full potential. -
Quality Management and Traceability in Regulated Manufacturing: Moving from Silos to Integrated Data
As regulatory expectations continue to rise, manufacturers that invest in unified quality and operations data will be better positioned to maintain compliance, respond to change and support sustainable growth. -
From Pilot to Action: Manufacturers Now See Digital Transformation as Competitive Differentiator
Several threats to manufacturing progress are compounding — cost, workforce shortages, cyber risk and supply chain disruptions — but smart manufacturers are responding, according to Rockwell Automation’s annual survey. -
Why Enterprise Industrial AI Requires a Data Backbone, Not More Models
Industrial AI does not fail because the technology is weak. It fails when the foundations are treated as an afterthought. -
Report: 76% of European Manufacturers Do Not Fully Leverage Their Data
One in two European manufacturers (50%) lacks a clear digital roadmap. -
Predictive Maintenance: Using Displacement Sensors for Real-Time Condition Monitoring
Learn how laser, eddy and other displacement sensors work and how they plug into IIoT PdM systems. They’re game changers on the shop floor. -
The One Protocol Every Data Center Will Need in 2026
Redfish-inside PLCs — driven by Unitronics — are reshaping cooling, control and DCIM integration. -
Control Station Names Braskem’s Neal Plant Industry Leader in PID Performance
The recognition honors the Braskem facility’s exceptional performance in achieving world-class PID control loop effectiveness as measured by Overall Controller Effectiveness (OCE). -
Accelerate Quality Deviation Investigations Using Advanced Analytics and AI Platforms
Advanced analytics and AI tools, paired with SME knowledge, are helping processors accelerate quality deviation investigations, conduct intelligent root cause analyses, improve reporting ease and accuracy, and increase operational optimization insights. -
Real-Time Localization: Precise, Scalable Data Collection for Industrial Assets
Combining industrial grade ultra‑wideband technology and the omlox open locating standard, SICK’s Coriva real-time location system continuously monitors vehicles, goods and material to support operational efficiency improvements. -
Overcome Critical Cooling Challenges With Non-Intrusive Instrumentation
As cloud computing and AI demand surge, data centers require accurate, reliable and scalable measurement solutions to meet expanding needs.
