Let’s start with the word “autonomous”, which means “self-governing”. Autonomous manufacturing is the manifestation of “self-governing” systems at every step of the manufacturing process.
To understand the basic principles of autonomous systems, consider a scenario in which a human driver approaches a stop sign.
It’s been two years since we were acquired by Rockwell Automation. The things that felt like science fiction just a few years ago are being built by Kalypsonians today. We’re excited for what the future of this partnership holds!
To address social, political, and economic challenges, manufacturers are accelerating digital transformation efforts and prioritizing the application of artificial intelligence (AI) and machine learning (ML) to solve their complex production challenges.
We talked to Jordan Reynolds, Global Director of Data Science, about how traditionally non-"tech" companies can leverage AI to solve business problems.
Advanced analytics is not new in the oil and gas exploration and production ecosystem. But as the need increases and technology improves, we’ve reached a tipping point that underscores the urgent imperative to improve oil and gas operations with advanced analytics.
How can medical device manufacturers leverage insights from PLM data to remain competitive? Here's the story of one manufacturer and how they drove measurable business results with machine learning.
As the global demand for oil rises, the US shale industry can leverage smart connected operations – enabled by digital technologies – to deliver operational excellence in field operations. Here's an example.
In the second video of our KNOW series, we explore the application of advanced analytics to product development data.
Discrete manufacturers and R&D professionals have long viewed product lifecycle management (PLM) as a means to enhance manufacturing and design process management, data integrity and digital mockup. While these capabilities serve as a baseline to address operational challenges, current out-of-the-box solutions lack the maturity to maximize the value of product data and quickly tie it to business decisions.