Predictive Analytics & Anomaly Detection

Predictive Analytics & Anomaly Detection
We optimize on-site operations by leveraging machine learning for demand forecasting and predictive maintenance to detect equipment failures before they occur.
1~13 item / All 13 items
-

Mechanism for Improving Profitability through Predictive Maintenance: Free explanatory materials provided.
The operating rate is directly linked to revenue. A shift from reactive maintenance to "strategic investment."
last updated
-

How to Avoid the "Three Pitfalls" that Hinder Predictive Maintenance Projects
Why do many PoCs fail? Free explanatory materials provided.
last updated
-

The three major hurdles that hinder AI implementation in manufacturing sites and the barrier of specialized knowledge.
From network to AI analysis. Free explanatory materials that break through the limits of in-house development.
last updated
-

Databricks' "data lakehouse" is transforming predictive maintenance.
A technology that directly connects vast amounts of IoT data to AI learning. Free explanatory materials available.
last updated
-

Predictive maintenance AI model that digitizes the "intuition" of veterans.
Transforming the insights of experts into the organization's treasure. Free explanatory materials provided.
last updated
-

Support through "FDE (Frontline Deployment Engineer)" provided by NTP.
Kubota × IBM's hybrid team implements it in a down-to-earth manner. Free explanatory materials available.
last updated
-

The innovation of implementing an "NTP-type" system that dramatically improves ROI.
Thoroughly eliminate intermediate costs and invest in "moving assets." Free explanatory materials provided.
last updated
-

Invitation to a free assessment of the "Predictive Maintenance Roadmap" to be presented in 30 minutes.
How to fight with the assets we currently have? The first step to obtaining internal approval. Free explanatory materials provided.
last updated
-

Example: Introduction of Azure Databricks in the manufacturing industry
[Free Distribution of Explanatory Materials] Automating Failure Prediction and Condition-Based Maintenance Using IoT Data
last updated
-

Example: Predicting failures through the integration of devices and spatial data. Free materials available.
Advanced predictive maintenance utilizing Azure Databricks. Detection accuracy that takes into account changes in the surrounding environment.
last updated
-
[Case Study] Avoiding tens of millions of yen in losses from unexpected shutdowns | Chemical Plant
"Although there are sensors, they cannot be used" and "Neither PoC nor approval can be obtained." To those in charge of plant maintenance: We are revealing all the procedures that have avoided losses of tens of millions of yen annually due to unexpected shutdowns.
last updated
-

Optimization of field operations realized by predictive analytics and anomaly detection AI.
Break away from personalized "intuition and experience"! Transition to a decision-making process centered on data. Free explanatory materials available now.
last updated
-

Checking for Data Silos through NTP's Support for DX in Manufacturing
We visualize data and processes divided by department and organize your company's information structure. Free explanatory materials are currently available.
last updated