AI-powered manufacturing

Why data science experimentation drags out production optimization programs

Written by Binny Samuel | October 22, 2018 | Manufacturing

Production optimization programs aim to increase production throughput and eliminate waste by leveraging data insights. But what happens when data identification – and creating analytical models relevant to use cases – becomes a job in its own right? Can out-of-the-box templates both support production optimization and reduce the need for data science experimentation? This blog explores ...read more


Are MES systems dead? How IoT and AI are transforming the shop floor

Written by Ashok Kumar | October 8, 2018 | Manufacturing

Manufacturing is changing due to advancements in the Internet of Things (IoT) and Artificial Intelligence (AI). With  consumer demand for customization driving new requirements for speed and agility, many manufacturers are struggling to keep up. On top of this, more competition and increased demand is putting higher pressure on manufacturers to increase overall plant performance.  ...read more


Do you have the needed data around yield, throughput, and quality to make sound operational decisions?

Written by Chris O'Connor | October 2, 2018 | Factories, Manufacturing

Here is a bold idea – your machines, your connected systems, your factories all diagnosing themselves and predicting needs before they affect production. What do you think when you read that? Are you thinking early and accurate identification of defects, improved production, optimized throughput, less waste and no product recalls? You should. Because that is what ...read more


Data Integration is still the biggest hindrance to Industry 4.0

Written by Binny Samuel | October 1, 2018 | Manufacturing

Manufacturing plant operators have been working for years on data integration infrastructure in the plant floor. Yet despite the effort, availability of the right data for use cases continues to be an unresolved challenge for the success of Industry 4.0 programs. So what’s the issue? This isn’t because plants aren’t collecting data. In many cases, ...read more


Overcome production challenges with IBM Production Optimization and IBM Production Quality Insights

Written by Jason Spaulding | September 26, 2018 | Asset Management

This week, we announced the details of two offerings designed to help companies overcome production challenges: IBM Production Optimization, and IBM Production Quality Insights. These solutions support streamlined and efficient production processes that are underpinned by Artificial Intelligence (AI) and machine learning. Together, they increase throughput, improve quality, drive down expenditures and reduce costly waste. ...read more


How to get started with AI-powered manufacturing

Written by Dr. Stephan Biller | April 24, 2018 | Manufacturing

In a recent post, I examined how AI-powered manufacturing solutions enable manufacturers to aggregate data from multiple sources and apply AI for better outcomes. Now, it’s time to talk about how. Below, I have some recommendations on how to begin your AI-powered manufacturing journey. Start small, start anywhere, start now Some manufacturers are put off ...read more


IBM joins GMIS Mission to change the future of manufacturing

Written by Jason Spaulding and Jen Clark | April 23, 2018 | Manufacturing

We are delighted to announce that IBM has joined the Global Manufacturing and Industrialisation Summit (GMIS) as a founding partner. The news first broke at Think 2018 – IBM’s landmark conference, and a unique opportunity for IBMers, partners and clients to innovate together. Given our focus on the power of collaboration, it was an apt ...read more