AWS Machine Learning Blog
NOVEMBER 12, 2024
NOTE : Since we used an SQL query engine to query the dataset for this demonstration, the prompts and generated outputs mention SQL below. A user can ask a business- or industry-related question for ETFs. The question in the preceding example doesn’t require a lot of complex analysis on the data returned from the ETF dataset.
Dataconomy
MAY 27, 2024
Despite the furore that erupted after Cambridge Analytica, the dirty data problem hasn’t gone away: major breaches are commonplace, with a report by Apple last year indicating that the total number of data breaches tripled between 2013 and 2022. In the past two years alone, 2.6
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AWS Machine Learning Blog
JANUARY 4, 2024
One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. The primary goal is to automatically generate SQL queries from natural language text. What percentage of customers are from each region?”
AWS Machine Learning Blog
JUNE 13, 2023
The natural language capabilities allow non-technical users to query data through conversational English rather than complex SQL. The AI and language models must identify the appropriate data sources, generate effective SQL queries, and produce coherent responses with embedded results at scale.
Tableau
DECEMBER 1, 2021
IPO in 2013. Tableau had its IPO at the NYSE with the ticker DATA in 2013. Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases. March 2013), which is our cloud product. Release v1.0 April 2005) is in the top left corner. The Salesforce purchase in 2019.
IBM Journey to AI blog
JANUARY 10, 2023
This data will be analyzed using Netezza SQL and Python code to determine if the flight delays for the first half of 2022 have increased over flight delays compared to earlier periods of time within the current data (January 2019 – December 2021). Figure 9 – Flight delays were lower during 2013 through 2018.
NOVEMBER 24, 2023
This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning. He is an industry leader with a passion for innovation.
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