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Data democratization: How data architecture can drive business decisions and AI initiatives

IBM Big Data Hub

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that. What is data democratization?

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

Ontotext

So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic data integration , and ontology building.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 2: Cloud Adoption

BizAcuity

Cloud is now the backbone of digital transformation. Benefits of Cloud Adoption. Quick recap from the previous blog- The cloud is better than on-premises solutions for the following reasons: Cost cutting: Renting and sharing resources instead of building on your own. Starting with cloud adoption.

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Strategically Approaching Graph Technologies

Ontotext

If one can figure out how to effectively reuse rockets, just like airplanes, the cost of access to space will be reduced by as much as a factor of a hundred.” ” Elon Musk SpaceX succeeded in building reusable rockets, drastically reducing the cost of sending them into orbit or taking astronauts to the International Space Station.

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How Metadata Makes Data Meaningful

erwin

As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. Faster Speed to Insights: Reverse the current 80/20 rule that keeps high-paid knowledge workers too busy finding, understanding and resolving errors or inconsistencies to actually analyze source data.

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How Metadata Makes Data Meaningful

erwin

As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. Faster Speed to Insights: Reverse the current 80/20 rule that keeps high-paid knowledge workers too busy finding, understanding and resolving errors or inconsistencies to actually analyze source data.