Overcome Manufacturing Data Challenges with Trustworthy Data and AI

Overcome Manufacturing Data Challenges with Trustworthy Data and AI

Get insights from Stibo Systems and Sitation about how manufacturers use AI and master data management (MDM) strategies to support digital transformation and operational resiliency.

While some stagnant manufacturers are struggling to move to Industry 4.0 or 5.0, those adopting AI, creating connected data ecosystems and prioritizing data quality are realizing significant improvements in machine downtime, productivity and forecasting.

But with tariffs, 30-year-old legacy equipment, siloed data and dozens of disconnected applications across the enterprise, the majority of manufacturers are still trying to find their way to total digital transformation. The first step? Achieving trusted connectivity and interoperability.

To take advantage of everything AI and a trusted and connected ecosystem has to offer, you need a solid data foundation — that starts with strong data governance and data quality.

In this expert-led fireside chat, leaders from Stibo Systems, Sitation and Information Security Media Group (ISMG) explore how manufacturers are overcoming data quality, governance and legacy system challenges to build resilient, trusted and AI-ready data ecosystems across the enterprise.

You'll learn:

  • Why a unified data foundation is crucial for trustworthy, AI-ready data, interoperability and increased visibility
  • How to create a solid data governance culture, from C-suite buy-in to establishing a data governance office
  • How predictive AI and GenAI help manufacturers clean data, predict supply chain disruptions, increase agility and more
  • How to leverage AI and MDM to stay competitive
  • How to modernize legacy systems without expensive overhauls or adding yet another tool to manage

Plus, James Van Pelt, Manufacturing Practice Lead at Stibo Systems, and Pramit Rajkrishna, Director of Solution Consulting at Sitation, share specific use cases for AI across the supply chain, product, marketing and more.

Click the button to access the chat and proven strategies to help you modernize without disruption — and lead with data you can trust.


session manufacturing data challenges with trustworthy data and AI

Quote:

The way you get to speed and trust is if you have really clean data that comes out of the system. We have to put really high-quality information in.

Pramit Rajkrishna

Director of Solution Consulting, Sitation

Trusted by the world’s top brands

Stibo Systems Client: Walgreens, dark logo Toyota Stibo Systems Customer Logo Customer: Sysco Corporation logo Adidas Stibo Systems Client saintGobain-logo Royal London logo meijer fleetPride-logo Customer: Marriott International logo Danfoss customer logo AT&T customer logo McDonald's customer logo Customer: Kellanova logo Customer: Estee Lauder logo Customer: AEON TEXT logo Customer: Miele logo sainsburys