💡 Is AI falling short in the energy industry?
In the era of machine learning hype during the 2010s, predictive maintenance became the golden child of AI. But here's the issue: what worked like magic for Netflix's algorithms struggled to find its way into the realm of heavy machinery.
Why? Unlike recommending your next binge-watch, maintaining heavy machinery isn't just about crunching one type of data. Engineers need more than just a chart; they need context.
A record of previous maintenance events, images, BSI reports, vendor documentation, etc — these are the critical pieces of the puzzle to properly assess the condition of the equipment.
While the entire industry was fixated on predicting the next failure, reality hit hard. Virtually every plant has several failures every day, and engineers are more occupied with troubleshooting and performance RCA. Which often turns into a data-searching time-consuming nightmare.
At Cognite, we're tackling the exact problem that engineers in the field face every day. Sure, predictions are great, but let's not forget the basics. Engineers need tools to solve problems efficiently and effectively.
Keen to learn what that is?
See the video below featuring our latest product aimed at field engineers!
#generativeai #industrialdata #digital #energy
Experience the power of Cognite Data Fusion firsthand! 🚀
Our click-through demos showcase the transformative potential of data in context and generative AI for your industrial operations.
If you're still navigating the challenges of siloed data, explore how Cognite brings secure and trustworthy AI into your industrial operations with unmatched data management 👉 https://hubs.ly/Q02mdhtc0
#ClickableDemo #Cognite #GenerativeAI #IndustrialData
Investor | Board Member | Official Member, Forbes Technology Council
2wLooking forward to this!