ProSoft Insights / Technology focus

Why a Strong Data Foundation is a Must in AI for Manufacturing

Contact Us

Search Insights

Categories

Tags

Subscribe

Yes, I would like to receive marketing information from ProSoft Technology, Inc., and its affiliates, subsidiary companies and brands indicated below.

I therefore provide my consent to the use of the personal information submitted here for the purpose of providing me marketing information related to ProSoft Technology, Inc. and its affiliates’ and subsidiaries’ products, services and marketing events. I understand that I may withdraw my consent at any time. Additional information regarding ProSoft’s data privacy policies, including how to withdraw this consent, is available at www.prosoft-technology.com/privacy. ProSoft Technology, Inc. is a subsidiary of Belden Inc., and their affiliates, subsidiary companies and brands include ProSoft Technology SAS, ProLinx Comunicacao Industria, LTDA; Global Blue Networks Inc., and ProSoft Technology (Asia Pacific) SDN BHD.

Recent Posts

Why a Strong Data Foundation is a Must in AI for Manufacturing

24 Nov, 2025 / Technology focus

To truly scale AI for manufacturing, the foundational step is to build a unified and ac...

Know Your Network Before You Set Up Your Automated Warehouse System

30 Oct, 2025 / Technology focus

Before any advanced automated warehouse systems can deliver on their promise, a critica...

Improve Your Warehouse’s Efficiency with Secure Connections

09 Oct, 2025 / Technology focus

Your warehouse’s intricate dance of logistics and efficiency hinges entirely on a robus...

How to Track Overall Equipment Effectiveness in a Multi-Site Operation

18 Sep, 2025 / Work Smarter

Traditional metrics like overall equipment effectiveness (OEE) offer valuable insights ...

  • Monday November 24 2025
  • Sam Veng – Digital Automation Consultant

Why a Strong Data Foundation is a Must in AI for Manufacturing

The promise of artificial intelligence in manufacturing is vast, yet a significant hurdle remains before its full potential can be realized: unlocking the critical data AI needs to generate meaningful, actionable insights and drive real efficiency gains. In today's rapidly evolving industrial landscape, data isn't just abundant; it's an overwhelming "data ocean," scattered across disparate systems, trapped in silos and flowing through networks ill-equipped for real-time analytics. This fragmentation and complexity prevent organizations from harnessing the power of AI effectively.

To truly scale AI for manufacturing, the foundational step is to build a unified and accessible data infrastructure. This means meticulously bringing together data from various systems and formats, dismantling departmental and technological silos, and ensuring consistent data quality across all sources. Furthermore, this data must be properly labeled, organized and made accessible in real-time, transforming raw information into an AI-ready asset. Without this robust groundwork, the sheer volume and complexity of enterprise data will continue to overwhelm, hindering AI's ability to deliver on its transformative potential.

This blog post from our parent company, Belden, will guide you through the essential steps to prepare your data for AI success. Discover how to identify, connect and prepare the right data, ensuring it's clean, contextualized and enriched for optimal AI model performance. By focusing on building a strong data foundation, manufacturers can move beyond data chaos to unlock new possibilities, optimize operations and minimize downtime.