Tracking Industrial Assets for Better Business Decisions
· Predictive Analytics

Tracking Industrial Assets for Better Business Decisions

While Industrial IoT continues to mature, many customers are hesitant to share project details for obvious competitive reasons.  As an alternative, it can be useful to look at potential use cases to see how IoT can benefit industrial enterprises. In this industrial asset tracking use case, the sample customer is a large multinational mining company with […]

Read more →
Use of IoT and OEE for improving the performance of production
· Connected Industry

Use of IoT and OEE for improving the performance of production

Overall Equipment Effectiveness (OEE) is the most reliable practices metric for measuring manufacturing productivity. OEE is used as a baseline and benchmark to measure the utilization of a manufacturing operation or piece of equipment. Many uses OEE numbers to trace the progress of the company’s production quality over time. Benchmarks for OEE An OEE score […]

Read more →
The railway predictive maintenance and the enabling role of the Internet of Things
· Predictive Analytics

The railway predictive maintenance and the enabling role of the Internet of Things

The availability of innovative technologies and the huge amount of data are the key factors able to revolutionizing maintenance in the 21st century. Leveraging deep engineering knowledge and data analytics capabilities, analysis of this data can be utilized to predict component failures and carry out root cause analysis when failures do occur, supporting continuous improving […]

Read more →
Machine Learning is the New Jake
· Predictive Analytics

Machine Learning is the New Jake

Everyone in, and serving, manufacturing businesses has encountered terms such as Industry 4.0, Digital Transformation, and Smart Factory. Small compute footprints, low-cost, high-availability communication systems, high-capacity–low-cost memory, rapidly evolving sensor technology, and new time-series data structures supporting real-time analytics are all conspiring to empower industrial operators to transform their businesses from “tribal knowledge systems” to […]

Read more →
The Power of Pattern Learning for Industrial Operations
· Predictive Analytics

The Power of Pattern Learning for Industrial Operations

The next industrial revolution is here. Whether you call it Industry 4.0 or Industrial IoT or Digital Transformation, the increased access to machine and operational data, proliferation of two-way communication, speed of data flow, combined with the lower cost of computing, connectivity and storage has created the perfect environment to transform industrial operations. The time […]

Read more →
How Machine Learning can help SMEs to maximize the value of operational data
· Predictive Analytics

How Machine Learning can help SMEs to maximize the value of operational data

Data generated by manufacturing or process operations, especially time series data, is very rich in information that can provide actionable insights on the current and future health of the production systems and the products they create. As companies start to digitize their industrial operations, they are learning that they are rich in operational data but poor in the […]

Read more →
Take your company from reactive/proactive to predictive analytics
· Predictive Analytics

Take your company from reactive/proactive to predictive analytics

Big Data and cloud technology has provided organizations new ways to drive efficiency and productivity. Among companies recognized as industry leaders and innovators, Asset Optimization has become a trending initiative and is producing strong results for these adopters. So what is stopping other organizations from adopting Asset Optimization? The reasons vary across organizations but include […]

Read more →
Rearview Business Intelligence misleads strategy for most of today’s enterprises
· Predictive Analytics

Rearview Business Intelligence misleads strategy for most of today’s enterprises

Businesses are quickly joining the big data revolution. The outcome is a collection of massive efforts to collect and condition enterprise data that represents the last month, the previous quarter, or past years. Then, they crunch the big data into a digestible view that makes some predictions about the future. We now know this practice […]

Read more →
There is no single “killer app” for anything, particularly for IIoT
· Connected Industry

There is no single “killer app” for anything, particularly for IIoT

As a Product Manager, we can’t keep chasing the next big thing all the time. It’s true we need to understand where technology is going, but we need to be more pragmatic and realize there is no single “killer app” for anything. Particularly for IIoT. Is predictive maintenance the killer app for IIoT? Predictive maintenance […]

Read more →
10 Myths Surrounding Predictive Maintenance
· Predictive Analytics

10 Myths Surrounding Predictive Maintenance

When managing the maintenance practices for a facility it’s important to understand the different approaches and the benefits of each. At the core, maintenance styles can be classified into a few different categories. Some of the most common approaches include reactive maintenance and preventative maintenance. You may already be familiar with those or even practicing […]

Read more →
Case Study: Drillship Fleet Performance Modeling
· Predictive Analytics

Case Study: Drillship Fleet Performance Modeling

Clockwork identifies $2 billion in Increased Revenue When Optimally Investing $120 Million in Critical Capital Spares A world leader in offshore drilling contracted Clockwork to create a high fidelity drillship fleet Reliability, Availability and Maintainability (RAM) Model, to optimize overhaul intervals for critical drillship equipment & investments in drillship capital spares. The Challenge At the highest breakdown level, […]

Read more →
Advanced Predictive Analytics versus Traditional Historical Forecasting
· Predictive Analytics

Advanced Predictive Analytics versus Traditional Historical Forecasting

Traditional forecasting, using historical observations estimate future business metrics such as inventory requirements, asset performance, budgets and revenue. Compared to predictive analytics, this practice fails to deliver the precision and agility required of leading enterprises and effective IoT asset management programs meeting difficult challenges. The reason for this shortfall is simple: the past does not […]

Read more →