Five Steps to More Effective Operational Data Collection

In the increasingly high-tech, high-touch realm of manufacturing, actionable data is an ever-growing factor in business and technical decision making. It's tempting to think that data collection can be a fully automated process, especially in the age of IoT and AI.

A Sustainability Process That Drives Business Value

Iota has developed a framework called the Sustainability Process Blueprint that allows businesses to easily monitor, measure, and curate data pertaining to their sustainability performance.

Data Integration is a Key Driver for Industry 4.0 in Polymer Manufacturing

One of Industry 4.0's key drivers is data integration. By expanding the scope of data collection and making information readily retrievable, computers on the production floor have evolved to facilitate a higher level of collaboration and innovation.

Could Predictive Analytics Help Tesla Drop the Cost of the Battery Pack to $100 per kWh?

The battery pack cost of $100/kWh is a primary target for Tesla. To achieve this, the company must solve one of the world's most demanding technology challenges - and it is how to increase the volumetric energy density of battery cells while slashing production costs.

Transforming Manufacturing Takes Good Data Management

By mirroring physical assets as digital systems, manufacturers create products better and cheaper than ever before and, by bridging the physical and digital worlds, solve physical issues faster.

How to Make Sense of Machine Data in Smart Factory 101

The idea of machine to machine communication has raised the initial excitement and high hopes but now owners of mid-size and small factories ask: "What's next? How do I start adopting these technologies in my factory?"

Data Requirements for Artificial Intelligence in Manufacturing

In the manufacturing context, an example of a pattern might be the ways in which a set of parameters contained in that data, which are related to a process in a factory, vary together.

Sensor Data in the Cloud

UrsaLeo is an IoT platform company that aims to make it easy for companies to collect their sensor data in the cloud, store it, visualize it and integrate it with other IT systems. This is done in a highly secure and scalable fashion.

Why Data Empowerment Matters

To successfully empower product and developer teams with data, iteration speed matters. Rather than having a central team determine what data can be used and who can access it, agility is essential.

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A Data Science Platform for Manufacturing

A Data Science Platform for Manufacturing

RapidMiner offers a data science platform that's built to enable people of all skill levels across the enterprise to quickly build and operate AI solutions to drive hard ROI for their organizations. Many data science tools are built to create accurate models, but cannot help manage the models into production, where they can have an impact. The platform covers the full lifecycle of the AI production process from data exploration and data prep to model building, model deployment and model operations. RapidMiner can help with a wealth of manufacturing use cases, like designing smart products, running smart factories, forecasting demand, ensuring quality, reducing production downtime, and managing supply chain risk.