-
In the previous blog, we discussed the impact of emerging technologies such as AI, Machine learning, IIoT, GenAI, etc., and the revolutionising potential they have on the manufacturing industry. These technologies rely on harnessing data and processing it effectively — transforming raw information into actionable insights that drive smarter decision-making, predictive maintenance, optimised production cycles, and enhanced operational efficiency. As manufacturers increasingly adopt these technologies, data becomes not just a byproduct of operations but the backbone of strategic innovation, enabling businesses to not only stay competitive but lead the charge in industry advancements. In this blog, we will explore the importance of data and the need for a strong data engineering solution, to facilitate adoption of emerging technologies in the manufacturing sector.
To gain a competitive edge through technology, manufacturing companies must focus on harnessing and synthesising vast volumes of unstructured data, as this is critical to unlocking its full potential and driving transformative value.
Today, the ever increasing complexity of modern manufacturing processes is leading to higher and higher volumes of raw, unstructured data being generated, that goes unutilised. Research shows that manufacturing operations generate a staggering 1.8K petabytes of data on an annual basis. Data is no longer a by-product of regular operations, it has now become a vital business asset that needs to be harnessed to maximise value across the manufacturing value chain.
medium.com
In the previous blog, we discussed the impact of emerging technologies such as AI, Machine learning, IIoT, GenAI, etc., and the…
