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AI and generative AI are revolutionizing manufacturing…here’s how

CIO Business Intelligence

Manufacturing has been a longstanding pillar of progress for humankind. From the Industrial Revolution over 200 years ago to today, manufacturing has had a profound impact on our lives, made possible by its unrelenting innovation. Supply chain management Manufacturing can benefit from more predictive supply chain management.

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3 key digital transformation priorities for 2024

CIO Business Intelligence

Improving search capabilities and addressing unstructured data processing challenges are key gaps for CIOs who want to deliver generative AI capabilities. But 99% also report technical challenges, listing integration (68%), data volume and cleansing (59%), and managing unstructured data (55% ) as the top three.

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Commercial Lines Insurance- the End of the Line for All Data

Cloudera

There is a wealth of data now available to make this possible. For example, the types of data sourced from other industries that we can use in the underwriting process include: Manufacturing – sensors (for quality, safety and maintenance-related). The tools and technology to analyze this data have advanced also of course.

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What Are the Industries That Benefit Most from Big Data?

Smart Data Collective

Also, thanks to Big Data, recruitment is now more accurate. Keep in mind that recruitment agencies have to deal with huge volumes of unstructured data, and analyzing all this data by traditional means is not only slow, but also ineffective. The post What Are the Industries That Benefit Most from Big Data?

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Making intelligent automation work at scale

CIO Business Intelligence

For example, IDP uses native AI to quickly and accurately extract data from business documents of all types, for both structured and unstructured data,” Reis says. Another benefit is greater risk management.