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ChatGPT: le nuove sfide della strategia sui dati nell’era dell’IA generativa

CIO Business Intelligence

Nella Pubblica amministrazione c’è un ulteriore parametro che entra nella data governance: la maturità sugli open data. Questo indice misura la capacità degli Stati di portare avanti la pubblicazione e il riutilizzo dei dati aperti, in linea con la Direttiva sugli open data (UE) 2019/1024.

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Context-Driven Natural Language Processing (NLP) Beats ‘Dumb’ NLP Every Time!

Smarten

How many donuts were sold in Scottsdale, Arizona during Thanksgiving 2019 and 2018? c) that Az means Arizona and that d) last year was 2019. They can simply ask the question. The system will understand the question and interpret it to provide the right information. Just ask the question…and you will get an answer. It’s that simple.

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Get Context-Driven Natural Language Processing for the Best Search Results!

Smarten

Which sales representative sold the most pancake mix during April 2015 to May 2019? Who sold the most cake in Phoenix, Arizona in the last quarter of 2019? Enter a question and receive results based on absolute time, or on a range or relative time period. Sample Date Range Question. Sample Relative Time Period Question.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Over the past decade, business intelligence has been revolutionized. Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain.

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Natural Language Processing (NLP): The Value of Context-Driven Searches!

Smarten

To truly understand the value of context-searching in NLP, let’s look first and what is commonly used in analytics and business intelligence today. IT or Data Scientist Business Intelligence and Analytics – scripted or programmed by IT. Now, let’s consider Context-Driven NLP.

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AWS Professional Services scales by improving performance and democratizing data with Amazon QuickSight

AWS Big Data

The AWS Professional Services (ProServe) Insights team builds global operational data products that serve over 8,000 users within Amazon. Our team was formed in 2019 as an informal group of four analysts who supported ad hoc analysis for a division of ProServe consultants. Outside of work, Ameya is a professional pilot.