As VP of Offering Management for IBM Watson IoT, I am often asked what Watson can do for manufacturing. As it happens, I had the chance to speak to Ralph Rio, of ARC Advisory Group about exactly this a few weeks ago at the ARC Industry Forum. The answer lies in artificial intelligence (AI). AI-powered solutions enable manufacturers to aggregate data from multiple sources and apply AI for better outcomes. This means healthier assets and equipment, more efficient operations, and reduced costs.
To understand the benefits of AI-powered manufacturing, we start with data and how manufacturers are using it to understand and optimize their assets and operations. The problem here is that many aren’t using it. There’s simply too much plant data to make sense of. As much of it is siloed, its potential remains unrealised. With IBM’s AI-powered solutions, however, we can leverage machine learning and artificial intelligence to integrate vast quantities of plant data – and use the resulting holistic data picture to improve throughput, quality, cost and fulfilment.
Machine learning and artificial intelligence: making sense of the data
Machine learning and artificial intelligence represent a revolution for understanding and acting on plant floor data. With these capabilities at our disposal, we can train models much faster than ever before and better integrate data from disparate sources. For example, while it typically takes three to four weeks to train an operator in quality inspection to achieve 80% accuracy, with AI, this figure shrinks to just hours to achieve 95% accuracy. That’s a considerable time reduction and much higher level of accuracy than was previously possible.
Artificial intelligence and machine learning algorithms like the one in the example above are a game-changer for manufacturers. They allow us to sift through the available data at faster and faster rates, to yield insights that enable us to manage and optimize assets and operations. This means better predictive maintenance, better approaches to quality inspection and increased production efficiency. And the more data there is, the better the insights we can glean from it, and the better informed our decision making can be.
The winners in manufacturing will be the companies with the most data at their disposal, and the right tools to leverage it. Our asset management and optimizations solutions can help you do just that.
The journey forward
In the next installment of this blog, I’ll talk about how to get started with AI-powered manufacturing. In the meantime, take a look at the video for a deeper look at our AI-powered manufacturing solutions. For more information about our portfolio, visit our website.
From October 29-30, companies from across industries gathered in Atlanta, GA for the Industrial IoT World conference to accelerate their projects “from inspiration to implementation.” As a leader in the IIoT space, IBM was invited to share its expertise. I joined IBM five months ago, and was excited to see our capabilities in person. Here […]
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. […]
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 […]