digital transformation

Stop Losing Time: How Engineering Data Can Save Millions

Posted by Barry Hutt on Mar 31, 2025 5:27:15 PM

Engineering teams possess an underutilized goldmine in today’s fast-paced industrial landscape: their data. From sensor readings and vibration logs to video, sound, and test metadata, engineering data holds critical insights that can accelerate innovation, reduce costs, and safeguard operations against failure. Yet, a significant portion of engineering time is wasted merely searching for, organizing and wrangling data to make it usable.

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Topics: Engineering Data, Big Data, Analytics, Viviota, IIoT, automotive industry, Autonomous Vehicles, Sensor Data, Machine Learning, aerospace, Analog Data, Sensor Data Management, data cleansing, simulation, Edge Computing, Manufacturing, Intelligent Data handling, Build Back Better Act, EV, Digital transformation

NVIDIA Show Report: AI & ML Take Center Stage at the "Woodstock of AI"

Posted by Barry Hutt on Mar 25, 2025 11:07:19 AM

Barry Hutt co-founder Viviota

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Topics: Engineering Data, Big Data, automotive industry, Autonomous Vehicles, Machine Learning, Analog Data, data cleansing, Edge Computing, Intelligent Data handling, Digital transformation

The 5 Things Engineering Teams Should Be Doing Right Now to Utilize AI & ML Technologies

Posted by Barry Hutt on Sep 25, 2024 8:45:00 AM

Listen to our blog:

The 5 Things Engineering Teams Should Be Doing Right Now to Utilize AI & ML Technologies
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According to a recent survey, 47% of companies today consider AI/ML as a top priority in 2024. Yet, according to Harvard Business Review “cross-industry studies show, on average, less than half of an organization's structured data is actively used in making decisions—and less than 1% of its unstructured data is analyzed or even used at all.” 1

This statistic should concern R&D or Engineering decision-makers. Companies are drowning in data, and very few companies can leverage their data because they are stuck trying to find, access, and connect various data sources. So first ask yourself these three questions:

 

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Topics: Analytics, simulation, Intelligent Data handling, Digital transformation

The 5 Things Engineering Teams Should Be Doing Right Now to Utilize AI & ML Technologies

Posted by Barry Hutt on Jun 16, 2024 12:03:55 PM

According to a recent survey, 47% of companies today consider AI/ML as a top priority in 2024. Yet, according to Harvard Business Review “cross-industry studies show, on average, less than half of an organization's structured data is actively used in making decisions—and less than 1% of its unstructured data is analyzed or even used at all.” 1

This statistic should concern R&D or Engineering decision-makers. Companies are drowning in data, and very few companies can leverage their data because they are stuck trying to find, access, and connect various data sources. So first ask yourself these three questions:

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Topics: Analytics, simulation, Intelligent Data handling, Digital transformation

Digital Transformation

Posted by Pete Zogas on Jan 5, 2024 3:59:35 PM

Are You “Digital Transformation-Ready”?

So, your customers are committed to a Digital Transformation (DT) journey. How does this affect the engineering organization? Engineering executives expect integrating digital technology into all aspects of the business will deliver great value. They expect DT to fundamentally change and improve business operations. As part of the DT journey, engineering teams want to unify and update systems, organizations, and processes to support next-generation product development cycles. Their engineering tools requirements, infrastructure ,and processes will be viewed through this lens. Are your offerings ready to support your customers’ DT projects with scalable, digital enterprise-ready architecture and capabilities?

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Topics: Engineering Data, Intelligent Data handling, Digital transformation