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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. Coupled with search and multi-modal interaction, gen AI makes a great assistant. IBM built a workforce advisor that uses summarization and contextual data understanding with intent detection and multi-modal interaction.

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Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

Knowledge graphs can also enable the creation of “digital twins”, which make sense of the collected data from various sensors in different systems, spanning the entire vehicle lifecycle. Read our post: Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What?

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Understanding Social And Collaborative Business Intelligence

datapine

This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. Resources can be optimized through this type of sharing by allowing users to access reports, dashboards, and data that can possibly be just what they require to complete a task or analysis.

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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

François Scharffe of The Data Chefs presenting at KGF 2023 Aurelije Zovko CEO at Zenia Graph, presented another example of a knowledge graph humming under optimized sales processes in his talk “Leveraging the Power of Knowledge Graphs, LLMs, and ML to Turbocharge Sales Growth”.

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How Do Super Rookies Start Learning Data Analysis?

FineReport

Data analysis is a type of knowledge discovery that gains insights from data and drives business decisions. Professional data analysts must have a wealth of business knowledge in order to know from the data what has happened and what is about to happen. For super rookies, the first task is to understand what data analysis is.

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Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

Here, I will draw upon our own experience from client projects and lessons learned to provide a selection of optimal use cases for knowledge graphs and semantic solutions along with real world examples of their applications. For many organizations, however, the question remains, “Is it the right solution for us?”

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Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

This is essentially the same as finding a truly useful objective to optimize. Since we work in Google’s Search Ads group, the long-term effects our studies focus on are ads blindness and sightedness , that is, changes in users’ propensity to interact with the ads on Google’s search results page. For more details see [1] Section 4.