Analytics Vidhya

MAY 16, 2024

Introduction You can easily create a simple application that can chat with SQL Database. If the database is huge, it’s impractical to include the complete list of columns and tables in the prompt […] The post How to Create an AI Application That Can Chat with Massive SQL Databases appeared first on Analytics Vidhya.

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Analytics Vidhya

APRIL 23, 2024

Microsoft has unveiled its latest innovation in artificial intelligence (AI), the Phi-3 Mini. Also Read: Alibaba’s LLM-R2: Revolutionizing SQL Query […] The post Microsoft’s Phi-3 Mini: The New Era of Compact AI Models appeared first on Analytics Vidhya. Let’s explore its features and capabilities.

Artificial Intelligence 320

Artificial Intelligence Artificial Intelligence SQL AI 320

Analytics Vidhya

JUNE 27, 2022

The post Movie Recommendation with SQL Using Google Cloud Platform appeared first on Analytics Vidhya. Or have you ever think how Amazon shows your the recommended product based on your search item? So the magic behind these technologies is called the […].

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SQL Data Science Analytics Analytics 271

Flipboard

DECEMBER 26, 2024

The ever-growing presence of artificial intelligence also made itself known in the computing world, by introducing an LLM-powered Internet search tool, finding ways around AIs voracious data appetite in scientific applications, and shifting from coding copilots to fully autonomous coderssomething thats still a work in progress.

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Artificial Intelligence Artificial Intelligence SQL AI 177

Analytics Vidhya

FEBRUARY 24, 2021

ArticleVideo Book Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry Ready Data Science Professional appeared first on Analytics Vidhya.

Data Science 366

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 366

Pickl AI

OCTOBER 30, 2024

Summary: Dynamic SQL is a powerful feature in SQL Server that enables the construction and execution of SQL queries at runtime. Introduction Dynamic SQL is a powerful programming technique that allows developers to construct and execute SQL statements at runtime. What is Dynamic SQL?

SQL 52

SQL Database Data Science Artificial Intelligence 52

Pickl AI

NOVEMBER 3, 2024

Summary: Pattern matching in SQL enables users to identify specific sequences of data within databases using various techniques such as the LIKE operator and regular expressions. SQL provides several techniques for pattern matching, enabling users to efficiently query databases and extract meaningful insights.

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SQL Database Data Analysis Data Analysis 52

KDnuggets

OCTOBER 4, 2023

By training GPT to query with few-shot prompting.

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SQL Artificial Intelligence Artificial Intelligence 345

Smart Data Collective

DECEMBER 21, 2021

Artificial intelligence holds the key to pulling insights from these enormous volumes of data. In NoSQL databases, the data does not follow a structured format like SQL, making it easier to store. As your database ingests new data, artificial intelligence goes to work parsing the data.

Big Data 142

Big Data Big Data Artificial Intelligence Artificial Intelligence 142

Flipboard

SEPTEMBER 16, 2024

You have learnt a new programming language and understand the elements of machine learning and artificial intelligence. Now you’re thinking about learning SQL. Image by Author | Canva You’ve learned the fundamentals of computer science. You're starting to see all the pieces of the puzzle coming together.

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SQL Computer Science Computer Science Artificial Intelligence 117

IBM Data Science in Practice

APRIL 26, 2024

Photo by Tim van der Kuip on Unsplash In the era of digital transformation, enterprises are increasingly relying on the power of artificial intelligence (AI) to unlock valuable insights from their vast repositories of data. The ability to dynamically edit SQL queries within dynamic views enhances adaptability in data analysis.

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SQL Data Quality Data Governance Data Scientist 130

IBM Journey to AI blog

NOVEMBER 29, 2023

Artificial intelligence is also key for businesses, helping provide capabilities for both streamlining business processes and improving strategic decisions. Events as fuel for AI Models: Artificial intelligence models rely on big data to refine the effectiveness of their capabilities.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Apache Kafka AI 105

Analytics Vidhya

NOVEMBER 6, 2020

Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry-Ready Data Science Professional appeared first on Analytics Vidhya.

Data Science 264

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 264

Analytics Vidhya

DECEMBER 12, 2023

This article dives into the dynamic synergy between vector databases and generative AI solutions, exploring how these technological bedrocks are shaping the future of artificial intelligence creativity. appeared first on Analytics Vidhya.

Database 318

Database Artificial Intelligence Artificial Intelligence AI 318

AWS Machine Learning Blog

APRIL 16, 2024

They then use SQL to explore, analyze, visualize, and integrate data from various sources before using it in their ML training and inference. Previously, data scientists often found themselves juggling multiple tools to support SQL in their workflow, which hindered productivity.

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SQL AWS Database Data Scientist 108

Analytics Vidhya

NOVEMBER 2, 2023

empower this by understanding and generating SQL, Python, text summarization, and visualizations from data. Introduction Generative AI enhances data analytics by creating new data and simplifying tasks like coding and analysis. Large language models (LLMs) such as GPT-3.5 Yet, limitations persist, like handling short contexts and errors.

Analytics 309

Analytics Analytics SQL AI 309

AWS Machine Learning Blog

AUGUST 1, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. For Model name , enter llama-3-8b-text-to-sql. Choose Import model.

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SQL AWS ML ML 117

AWS Machine Learning Blog

AUGUST 8, 2024

As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads. Managing and retrieving the right information can be complex, especially for data analysts working with large data lakes and complex SQL queries.

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SQL Data Lakes Data Analyst AWS 113

AWS Machine Learning Blog

JUNE 20, 2024

The data is stored in a data lake and retrieved by SQL using Amazon Athena. The following figure shows a search query that was translated to SQL and run. Data is normally stored in databases, and can be queried using the most common query language, SQL. Constructing SQL queries from natural language isn’t a simple task.

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SQL Database AWS Machine Learning 100

AWS Machine Learning Blog

FEBRUARY 28, 2024

Structured Query Language (SQL) is a complex language that requires an understanding of databases and metadata. Today, generative AI can enable people without SQL knowledge. This generative AI task is called text-to-SQL, which generates SQL queries from natural language processing (NLP) and converts text into semantically correct SQL.

SQL 126

SQL AWS Database ML 126

Data Science Dojo

APRIL 6, 2023

While Python and R are popular for analysis and machine learning, SQL and database management are often overlooked. However, data is typically stored in databases and requires SQL or business intelligence tools for access. They use Structured Query Language (SQL) for managing and querying data. What is SQL?

Database 195

Database SQL Data Science Business Intelligence 195

Towards AI

JULY 6, 2023

NSQL is a new family of open-source large foundation models (FMs) designed specifically for SQL generation tasks Raise your hand if you have tried to use ChatGPT or any of the other LLMs to generate SQL queries. Why SQL; SQL is still the most commonly used language. I have, and I currently am! Its name is NSQL.

SQL 98

SQL AI AI Data Science 98

KDnuggets

OCTOBER 21, 2019

Also: The 5 Classification Evaluation Metrics Every Data Scientist Must Know; Artificial Intelligence: Salaries Heading Skyward; Writing Your First Neural Net in Less Than 30 Lines of Code with Keras; How to select rows and columns in Pandas using [ ],loc, iloc,at and.iat; The Last SQL Guide for Data Analysis You'll Ever Need.

Data Scientist 125

Data Scientist Artificial Intelligence Artificial Intelligence SQL 125

Dataconomy

MARCH 17, 2025

Its performance in handling instruction-following tasks, SQL queries, and retrieval-augmented generation (RAG) applications has shown exceptional accuracy in real-world evaluations, outperforming its competitors in multilingual scenarios. Exceptional execution in SQL, agentic tasks, and tool-based applications.

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SQL AI AI Artificial Intelligence 104

ODSC - Open Data Science

APRIL 6, 2023

Though both are great to learn, what gets left out of the conversation is a simple yet powerful programming language that everyone in the data science world can agree on, SQL. But why is SQL, or Structured Query Language , so important to learn? Let’s start with the first clause often learned by new SQL users, the WHERE clause.

SQL 98

SQL Data Scientist Database Data Science 98

Towards AI

MARCH 29, 2024

Best AI SQL Query Tools Want to quickly get answers from your database? It’s an open-source tool that helps you generate SQL to let the data speak for itself. Vanna is precisely such a Python package that utilizes RAG technology to quickly generate SQL queries for you. Ask questions, and it answers with SQL.

SQL 98

SQL AI AI Database 98

Data Science Dojo

OCTOBER 4, 2024

Their research can lead to breakthroughs in fields such as artificial intelligence, machine learning, and cybersecurity, which are essential for the progress of modern society. Programming Skills: Proficiency in programming languages such as Python, R, Java, and SQL.

Computer Science 409

Computer Science Computer Science Database Administration Data Scientist 409

Data Science Dojo

MARCH 7, 2023

Programming Data scientists need to have a solid foundation in programming languages such as Python, R, and SQL. SQL is a must-have for data scientists as it is a database language and allows them to extract data from databases and manipulate it easily.

Data Scientist 221

Data Scientist Exploratory Data Analysis Data Science Data Visualization 221

Towards AI

SEPTEMBER 26, 2024

Fine-tuning LLMs for Natural Language to SQL Query Generation Using Synthetic Data: A Comprehensive Guide for Beginners by Anoop Maurya This article explores how to fine-tune LLMs to generate SQL queries from natural language inputs. Our must-read articles 1.

SQL 105

SQL AI AI Machine Learning 105

Flipboard

DECEMBER 6, 2023

In this post, we discuss a Q&A bot use case that Q4 has implemented, the challenges that numerical and structured datasets presented, and how Q4 concluded that using SQL may be a viable solution. RAG with semantic search – Conventional RAG with semantic search was the last step before moving to SQL generation.

SQL 168

SQL Database AWS Machine Learning 168

Data Science Dojo

OCTOBER 10, 2023

The emergence of Artificial Intelligence in every field is reflected by the rise of its worth in the global market. The global market for artificial intelligence (AI) was worth USD 454.12 The global market for artificial intelligence (AI) was worth USD 454.12 billion by 2032. billion by 2032.

AI 243

AI AI Data Observability Artificial Intelligence 243

Dataconomy

NOVEMBER 16, 2018

Indeed, IBM has held the record for receiving the most patents every year for the past 25 years and has developed countless revolutionary technologies, from SQL to the world’s fastest supercomputer. In terms of pioneering data-based technology, IBM are the gold standard. It should come as no surprise that IBM.

Deep Learning 174

Deep Learning Deep Learning Data Scientist SQL 174

Pickl AI

NOVEMBER 5, 2024

Summary : This article highlights the differences between Db2 ODBC and Embedded SQL, focusing on their performance, flexibility, and use cases. This article introduces ODBC (Open Database Connectivity) and Embedded SQL, two vital methods for interacting with DB2. How Embedded SQL Works Embedded SQL involves several key steps.

SQL 52

SQL Database Data Analysis Data Analysis 52

AWS Machine Learning Blog

SEPTEMBER 12, 2024

In this post, we discuss how generative artificial intelligence (AI) can help health insurance plan members get the information they need. From a broad perspective, the complete solution can be divided into four distinct steps: text-to-SQL generation, SQL validation, data retrieval, and data summarization.

SQL 123

SQL AWS AI AI 123

Flipboard

JULY 13, 2023

Thanks to the technology behind ChatGPT, it's become surprisingly simple to query a data set in plain English. As with most generative AI, results …

SQL 123

SQL AI AI Artificial Intelligence 123

Pickl AI

SEPTEMBER 19, 2024

Summary: The CASE statement in SQL provides conditional logic within queries, enabling flexible data manipulation. Proper usage and optimisation enhance query performance and adaptability, making it a crucial tool for effective SQL data management. What is a CASE Statement in SQL? Learn the Differences Between SQL and T-SQL.

SQL 52

SQL Database Data Analyst Data Analysis 52

Pickl AI

NOVEMBER 4, 2024

Each database type requires its specific driver, which interprets the application’s SQL queries and translates them into a format the database can understand. The driver manages the connection to the database, processes SQL commands, and retrieves the resulting data. INSERT : Add new records to a table.

Database 52

Database SQL ETL Azure 52