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Big Data

Big data refers to extremely large and complex sets of data that cannot be easily managed, processed, or analyzed using traditional data processing methods. It involves the collection, storage, and analysis of massive volumes of data to extract valuable insights, patterns, and trends, often requiring specialized tools and techniques to handle its scale and complexity. As businesses seek to optimize their operations through data, they will become increasingly reliant on complementary technologies like artificial intelligence and cloud computing to maximize the potential of large data stores.

Crain’s Detroit Business Op-ed: Michigan should welcome data centers — but on Michigan’s terms

Michigan has a choice to make. We can look at the rise of artificial intelligence, cloud computing and data centers as something happening to us, or we can decide Michigan will help shape what comes...

Data and Industrial Intelligence Academia Recommendations

The academic sector is essential for equipping the future workforce to shape how dataand industrial intelligence are developed, trusted, and implemented in manufacturing.It is crucial for learning...

From Data to Industrial Intelligence: How Manufacturers Are Confronting the Next Operational Challenge

Manufacturing has become the most data-intensive industry in the global economy. Factories generate massive streams of information from machines, sensors, inspection systems, supply chains and...

Repeat Successful OT Rollouts with Software Containers

Like shipping containers, software containers package apps to run consistently anywhere. Containerization is well-established in IT and is now gaining traction in OT (industrial) deployments...

Data and Industrial Intelligence Government Recommendations

Data-driven manufacturing necessitates a solid infrastructure capable of providing firmsecurity, promoting employee advancement, and refining data analytics.Government initiatives are instrumental...

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