In this contributed article, Srinath Kalluri, CEO of Oyla, suggests that by blending AI, 3D and video analytics, businesses will be able to bring better information to big data and enable smarter and safer ways of working.
Industry Perspectives
Stop Building Models, Start Training Data
In this special guest feature, Sanjay Pichaiah, VP of Product Growth at Akridata, highlights why it is time for data scientists to stop building models and start training data. The path to better models and greater model accuracy doesn’t lie exclusively with the model, even though that has been the greatest focus in recent years. To truly accelerate and increase model performance, we need to be focusing more on the training data sets we are supplying the models and stop hoping the data is good enough.
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insideBIGDATA Guide to Computer Aided Engineering
The essential first step for manufacturers is to consider how much data the enterprise has at its disposal. Most manufacturers collect vast troves of process data but typically use it only for tracking purposes, not as a basis for improving operations. The challenge is for these players to invest in the systems and skillsets that will allow them to enhance their use of existing process statistics. This Guide, sponsored by Dell Technologies, will walk through some of the ways to expand the scope of analytics to further increase business value.
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