Collaborating Authors

Maximize Safety, Sustainability and Productivity by Turning Unplanned Downtime Into Planned Downtime


Unplanned downtime has wide-ranging impacts that affect more than just a plant's productivity and profitability. Forced shutdowns also have a major impact on plant and personnel safety, as well as greenhouse gas emissions and environmental compliance. But what if you could actually plan for downtime? In this paper, learn how advances in machine learning and predictive analytics are eliminating the surprise of unplanned downtime--enabling companies to minimize the most dangerous conditions, reduce the amount of gases released into the environment, and improve productivity and profitability.

Newcrest Mining leverages Azure IoT & data science to cut downtime


By using an Azure-based IoT solution to make good use of data and push AI workloads to the edge, Newcrest can optimise operational performance and enable predictive maintenance--reducing unplanned downtime and delivering quantifiable financial value.

Branch Out: Making the Most of Your Downtime on a Business Trip


When you book a room with La Quinta Inns & Suites, your next business trip won't have to be all work and no play. Take advantage of your downtime by doing something you enjoy. Our infographic will help you find the perfect way to make the most out of your time away.

Industry 4.0


Accumulates, analyzes, and generates actionable insights from relevant sensors. This helps you identify faults before they occur and decrease downtime with predictive maintenance. ADAPT was conceived after detailed interactions with industrialists and operators to understand the requirements for a lightweight, user-friendly solution to boost productivity. ADAPT helps your industry undergo digital transformation to ensure the right person has access to the right data and insights at the right time. All secure and Access controlled.

Data Observability: How to Fix Your Broken Data Pipelines


While the technologies and techniques for analyzing, aggregating, and modeling data have largely kept pace with the demands of the modern data organization, our ability to tackle broken data pipelines has lagged behind. So, how can we identify, remediate, and even prevent this all-too-common problem before it becomes a massive headache? The answer lies in the data industry's next frontier: data observability. When you were growing up, did you ever read a Choose Your Own Adventure novel? You, the protagonist, are responsible for making choices that will determine the outcome of your epic journey, whether that's slaying a fire-breathing dragon or embarking on a voyage into the depths of Antarctica.