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Data Visualization: The Lynchpin of AI/ML and Business Analytics

In today’s digital age, data is everything. Data acquired might be massive in volume, but how do you make sense of it if it does not get represented in an easy to comprehend manner? That is where data visualization comes in. Read more about how the power of data visualization translates into AI/ML for business analytics.

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What Is the Right Approach to Resolving Operational Pain Points?

30% of manufacturers will use AI and customer data to deliver more personalization in 2022. [1] Smart manufacturing not only enables you to solve your business problems more efficiently but also helps you forward a better customer experience. Read about how Neewee’s AI apps and ML algorithms work to identify and resolve your operational pain points.

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How to Unlock Connectivity for Holistic Digital Transformation of Manufacturing

Different generations of assets on manufacturing shop floor increases the challenge of data acquisition, hence creating data silos. The efforts for the end-to-end digital transformation of processes get hampered. However, Neewee can create connectivity to interface at any manufacturing level with all types of machines having different communication ports using various protocols. And it may all begin to seem as easy-breezy as a walk in the park! Read to find out how?

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How Does Industrial Edge Computing Increase Your Competitive Edge?

Is there a solution for the heavy computation and industrial big data analytics that the manufacturing sector requires? Centralized data processing does have its limitations. Here, we share how Edge Computing can address these problems and help manufacturers achieve operational efficiency in real-time.

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Data Experts Can Help Improve Manufacturing; Here’s How…

Businesses and industries engaged in complicated production processes look at data for viable business intelligence. Data experts are now playing a vital role in improving manufacturing productivity and profitability by leveraging data-powered AI/ ML algorithms. Read to understand why data is called the ‘New Oil’. 

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