For CIOs, Chief Data Officers, and IT Leaders in the Manufacturing and Industrial Sector

This exclusive webinar dives deep into the challenges many industrial organizations face when scaling their DataOps initiatives. Traditional methods involve tedious processes of collecting, managing, and analyzing data that are fraught with inefficiencies. These methods involve a complex journey from sensors to cloud-based data lakes for contextualization, and back to the plant floor for model implementation, creating a cycle that is hard to scale and prone to errors.

In the realm of industrial DataOps, the difference between success and failure hinges not on choosing between traditional methods and new innovations, but on leveraging a solution that ensures agility, scalability, and the ability to make fact-based decisions across an entire distributed asset class and across all your plants, not just the first few.

Why Attend?

In this webinar, we will take a closer look at some of the pitfalls in scaling DataOps as it stands today - different data formats across plants create more maintenance headaches and slow down decision-making. Thus, understanding the inefficiencies of conventional DataOps scaling where IT teams are focused on a “ladder process” of data collection, model adjustments, and continuous updates across the first few initial plants — underlines the urgency for a strategic pivot.

The core of our approach addresses the vital need to:

Replicate what you want and need in plant #1 in every other plant.
Propagate use cases across all your sites.
Have centralized updates for templates, firmware versions, and new data tags, etc. from all your plants.
Manage all of this consistently and quickly — being agile and nimble.

Date: June 27, 2024
Time: 8 am Pacific | 11 am Eastern
Location: Online (Link will be provided upon registration)

Register Now

Brought by Litmus – Enabling Industrial DataOps At Scale.

Speakers2 Speakers

Marc Dekker

Dave McMorran