Manufacturers come to Sight Machine looking for an answer:
How do we keep improving productivity?
What we have heard from manufacturing customers, the theme has become quite constant really around not being able to scale beyond individual pilots.
The problems could be sustainability, it could be availability, it could be just quality. But the theme of: we are looking for a manufacturing data platform that can help us use all this data at scale and drive Improvement at scale – is a big theme that is beginning to take shape quite a bit.
The operational data, or the OT data as the world calls it, is not the same as existing IT data which a number of us are used to.
It is not possible to just go take the operational data and start using it for productivity improvement.
That’s what Sight Machine does. We work with manufacturers across a spectrum of manufacturing productivity levels.
It could be anything ranging from, how do we run our machines faster for more throughput?
How do we run our machines longer for more throughput?
How do we improve the quality of our product?
How do we become more sustainable?
How can we think about having a network of plants that is much more flexible to operate?
The real key differentiator in the way Sight Machine is solving the problem of making operational and manufacturing data usable is a data centric versus an app-centric approach.
Sight Machine works with manufacturers to make sure that all the manufacturing data that’s available can be acquired and transformed in real-time in a streaming fashion into a usable data foundation.
Typically Sight Machine’s customers start seeing true value coming from their manufacturing data within a matter of about the first 6 months after they start working with Sight Machine.
The ROI and the payback period on Sight Machine investment is much, much faster—in a number of cases it is less than 12 months. In most cases it is far better than what technology investment payback periods look like in traditional IT investments in the market.
That is the biggest advantage that a manufacturer can get while being able to solve multiple problems across multiple plants at the same time.
We also started doing technology integrations with Azure and the kind of seamless end-to-end value proposition that we are now able to offer our customers by integrating into the Azure ecosystem has been significantly more powerful than what Sight Machine was offering individually.
We see customers, again and again, taking Sight Machine’s standardized data from the manufacturing data platform and use it with tools that Azure provides.
Sight Machine’s manufacturing data platform is helping manufacturers drive true transformation of their operations and get ready for the future.
