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Do Large Language Models Dream of Knowledge Graphs – Impressions from Day 2 At SEMANTiCS 2023

Ontotext

LLMs] call into question a fundamental tenet of Data Management: that in order to address non-trivial information needs, the first step is to explicitly structure data in order to lift them from the ambiguous swamp of our human language. He also reminded us all about his wonderful book , available online with open access.

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Introduction To The Basic Business Intelligence Concepts

datapine

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. 2) The data warehouse. Let us explain.

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Enhance query performance using AWS Glue Data Catalog column-level statistics

AWS Big Data

Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams. The queries on these large datasets read vast amounts of data and can perform complex join operations on multiple datasets.

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Conversational AI: Design & Build a Contextual Assistant – Part 1

CDW Research Hub

For instance, a level 1 travel bot can provide a link for you to book travel. Level 5 and beyond : at this level, contextual assistants are able to monitor and manage a host of other assistants in order to run certain aspects of enterprise operations. I want to book a trip. Can you book a trip for me? ## intent:inform.

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On the Hunt for Patterns: from Hippocrates to Supercomputers

Ontotext

Ever since Hippocrates founded his school of medicine in ancient Greece some 2,500 years ago, writes Hannah Fry in her book Hello World: Being Human in the Age of Algorithms , what has been fundamental to healthcare (as she calls it “the fight to keep us healthy”) was observation, experimentation and the analysis of data.

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Conversational AI: Design & Build a Contextual Assistant – Part 2

CDW Research Hub

The primary purpose of the assistant—let’s name it Coop—is to book awesome vacations, so Coop requires key pieces of information from the user. Now let’s tell our model to invoke the booking form action. As seen from the config above, the “DucklingHTTPExtractor” is expected to be running at the specified host and port.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

For the downstream consumption by all departments across the organization, smava’s Data Platform team prepares curated data products following the extract, load, and transform (ELT) pattern. The following diagram shows the high-level data platform architecture before the optimizations.