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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

An inaccurate AI prediction in a marketing campaign is a minor nuisance, but an inaccurate AI prediction on a manufacturing shopfloor can be fatal. For example, as manufacturers, we create a knowledge base, but no one can find anything without spending hours searching and browsing through the contents.

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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

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Ontotext Marketing Gets a Boost from Knowledge Graph Powered LLMs

Ontotext

Motivated by our marketing team’s aim to simplify content discovery on our website, we initiated the Ontotext Knowledge Graph (OTKG) project. Our years-long experience in aiding organizations to gain maximum benefits from their content taught us the necessity of more than just a rudimentary search interface.

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6 ecommerce trends to watch

IBM Big Data Hub

As the ecommerce market grows exponentially, six trends projected to heavily impact the global market are artificial intelligence (AI), augmented reality, live commerce, online-to-offline ecommerce, social commerce and voice assistants.

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IBM watsonx Assistant: Driving generative AI innovation with Conversational Search

IBM Big Data Hub

Generative AI has taken the business world by storm. Organizations around the world are trying to understand the best way to harness these exciting new developments in AI while balancing the inherent risks of using these models in an enterprise context at scale. These search engines are reliant on keywords and human feedback.

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From Chaos to Control with Data Intelligence

erwin

As the amount of data grows exponentially, organizations turn to data intelligence to reach deeper conclusions about driving revenue, achieving regulatory compliance and accomplishing other strategic objectives. It’s no secret that data has grown in volume, variety and velocity, with 2.5

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Five benefits of a data catalog

IBM Big Data Hub

Fortunately, the library has a computer at the front desk you can use to search its entire inventory by title, author, genre, and more. An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more.