Business Intelligence, ML and SQL - Data Science Current

Governing ML lifecycle at scale: Best practices to set up cost and usage visibility of ML workloads in multi-account environments

AWS Machine Learning Blog

NOVEMBER 14, 2024

By setting up automated policy enforcement and checks, you can achieve cost optimization across your machine learning (ML) environment. The following table provides examples of a tagging dictionary used for tagging ML resources. A reference architecture for the ML platform with various AWS services is shown in the following diagram.

ML

ML ML AWS Machine Learning

Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas

AWS Machine Learning Blog

OCTOBER 24, 2024

Machine learning (ML) helps organizations to increase revenue, drive business growth, and reduce costs by optimizing core business functions such as supply and demand forecasting, customer churn prediction, credit risk scoring, pricing, predicting late shipments, and many others. Basic knowledge of a SQL query editor.

Data Warehouse

Data Warehouse Machine Learning Machine Learning Cloud Data

How Twilio generated SQL using Looker Modeling Language data with Amazon Bedrock

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. Data is the foundational layer for all generative AI and ML applications.

SQL

SQL Data Lakes Data Analyst AWS

Webinars

What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

MORE WEBINARS

Import a fine-tuned Meta Llama 3 model for SQL query generation on Amazon Bedrock

AWS Machine Learning Blog

AUGUST 1, 2024

By demonstrating the process of deploying fine-tuned models, we aim to empower data scientists, ML engineers, and application developers to harness the full potential of FMs while addressing unique application requirements. We use the sql-create-context dataset available on Hugging Face for fine-tuning.

SQL

SQL AWS ML ML

Harness the power of AI and ML using Splunk and Amazon SageMaker Canvas

AWS Machine Learning Blog

AUGUST 12, 2024

Instead, organizations are increasingly looking to take advantage of transformative technologies like machine learning (ML) and artificial intelligence (AI) to deliver innovative products, improve outcomes, and gain operational efficiencies at scale. Data is presented to the personas that need access using a unified interface.

ML

ML ML AWS AI

Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning Blog

DECEMBER 4, 2024

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. Use Amazon Athena SQL queries to provide insights.

AWS

AWS AI AI SQL

Enabling AI-powered business intelligence across the enterprise

IBM Journey to AI blog

JUNE 8, 2023

Essential data is not being captured or analyzed—an IDC report estimates that up to 68% of business data goes unleveraged—and estimates that only 15% of employees in an organization use business intelligence (BI) software.

Business Intelligence

Business Intelligence Business Intelligence AI AI

AWS at Databricks Data + AI Summit 2025

databricks

JUNE 4, 2025

160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

AWS

AWS AI AI Data Science

Shaping the future: OMRON’s data-driven journey with AWS

AWS Machine Learning Blog

APRIL 3, 2025

Part of a comprehensive approach to using artificial intelligence and machine learning (AI/ML) and generative AI includes a strong data strategy that can help provide high quality and reliable data. One key initiative is ODAPChat, an AI-powered chat-based assistant employees can use to interact with data using natural language queries.

AWS

AWS Data Governance Data Silos SQL

Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time

AWS Machine Learning Blog

APRIL 19, 2023

Businesses are increasingly using machine learning (ML) to make near-real-time decisions, such as placing an ad, assigning a driver, recommending a product, or even dynamically pricing products and services. Teams can now deliver robust features once and reuse them many times in a variety of models that may be built by different teams.

ML

ML ML Apache Kafka SQL

Future of Data and AI – March 2023 Edition

Data Science Dojo

MAY 18, 2023

Additionally, how ML Ops is particularly helpful for large-scale systems like ad auctions, where high data volume and velocity can pose unique challenges. Getting Started with SQL Programming: Are you starting your journey in data science? If you’re new to SQL, this beginner-friendly tutorial is for you!

Data Science

Data Science AI AI SQL

How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

APRIL 8, 2020

This data is then processed, transformed, and consumed to make it easier for users to access it through SQL clients, spreadsheets and Business Intelligence tools. The company works consistently to enhance its business intelligence solutions through innovative new technologies including Hadoop-based services.

Data Warehouse

Data Warehouse Big Data Big Data Big Data Analytics

11 Open Source Data Exploration Tools You Need to Know in 2023

ODSC - Open Data Science

FEBRUARY 24, 2023

Apache Superset GitHub | Website Apache Superset is a must-try project for any ML engineer, data scientist, or data analyst. This tool automatically detects problems in an ML dataset. VisiData works with CSV files, Excel spreadsheets, SQL databases, and many other data sources.

Exploratory Data Analysis

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis

Exploring the Data Science vs Computer Science Debate

Data Science Dojo

SEPTEMBER 5, 2024

Data Manipulation Proficiency : Ability to manipulate and preprocess data using tools like SQL, Python, or R. Read more about the top 7 software development use cases of Generative AI A data scientist applies the knowledge of data science in business analytics, ML, big data analytics, and predictive modeling.

Computer Science

Computer Science Computer Science Data Science Machine Learning

Exploring the Data Science vs Computer Science Debate

Data Science Dojo

SEPTEMBER 5, 2024

Data Manipulation Proficiency : Ability to manipulate and preprocess data using tools like SQL, Python, or R. Read more about the top 7 software development use cases of Generative AI A data scientist applies the knowledge of data science in business analytics, ML, big data analytics, and predictive modeling.

Computer Science

Computer Science Computer Science Data Science Machine Learning

Transitioning off Amazon Lookout for Metrics

AWS Machine Learning Blog

OCTOBER 9, 2024

Amazon Lookout for Metrics is a fully managed service that uses machine learning (ML) to detect anomalies in virtually any time-series business or operational metrics—such as revenue performance, purchase transactions, and customer acquisition and retention rates—with no ML experience required.

AWS

AWS ML ML Data Quality

How to become a data scientist

Dataconomy

JULY 24, 2023

Phase 2: Mastering appropriate programming languages While an undergraduate degree provides theoretical knowledge, practical command of specific programming languages like Python, R, SQL, and SAS is crucial. Look for internships in roles like data analyst, business intelligence analyst, statistician, or data engineer.

Data Scientist

Data Scientist Data Science Data Analyst Machine Learning

Get insights on your user’s search behavior from Amazon Kendra using an ML-powered serverless stack

AWS Machine Learning Blog

MAY 25, 2023

Create a dashboard using QuickSight After you have collected the metrics and preprocessed the aggregated metrics, you can visualize the data to get the business insights. For this solution, we use QuickSight for the business intelligence (BI) dashboard and Athena as the data source for QuickSight.

ML

ML ML AWS Database

Data Science Career Paths: Analyst, Scientist, Engineer – What’s Right for You?

How to Learn Machine Learning

APRIL 26, 2025

The processes of SQL, Python scripts, and web scraping libraries such as BeautifulSoup or Scrapy are used for carrying out the data collection. such data resources are cleaned, transformed, and analyzed by using tools like Python, R, SQL, and big data technologies such as Hadoop and Spark.

Data Science

Data Science Data Analyst Data Scientist Machine Learning

CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning Blog

MAY 30, 2024

AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. The wrapper function runs the SQL query using psycopg2.

AWS

AWS SQL Database AI

Analyzing the history of Tableau innovation

Tableau

DECEMBER 1, 2021

Tableau has been helping people and organizations to see and understand data for almost two decades, bringing exciting innovations to the landscape of business intelligence with every product release. Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases.

Tableau

Tableau ML ML Database

Microsoft secures your place in the world of business

Dataconomy

SEPTEMBER 27, 2023

The Microsoft Certified Solutions Associate and Microsoft Certified Solutions Expert certifications cover a wide range of topics related to Microsoft’s technology suite, including Windows operating systems, Azure cloud computing, Office productivity software, Visual Studio programming tools, and SQL Server databases.

Database Administration

Database Administration Database Azure Cloud Computing

Using Large Language Models on Amazon Bedrock for multi-step task execution

AWS Machine Learning Blog

APRIL 2, 2025

Traditionally, answering these queries required the expertise of business intelligence specialists and data engineers, often resulting in time-consuming processes and potential bottlenecks. Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice.

Machine Learning

Machine Learning Machine Learning AWS Analytics

Asure’s approach to enhancing their call center experience using generative AI and Amazon Q in Quicksight

AWS Machine Learning Blog

MARCH 20, 2025

Amazon Bedrock offers fine-tuning capabilities that allow you to customize these pre-trained models using proprietary call transcript data, facilitating high accuracy and relevance without the need for extensive machine learning (ML) expertise. In addition, traditional ML metrics were used for Yes/No answers. Choose Create new.

AWS

AWS AI AI Analytics

Top 10 Generative AI Companies Revealed

Towards AI

APRIL 19, 2024

· Code generation · Product development · Graphic design and video creation · Hyper-personalized communication · Streamlined content creation · Automated project management tasks · Enhanced business and employee management · 24/7 inquiry handling · Heightened customer support and service · Fraud detection and risk management · Generating synthetic (..)

AI

AI AI Artificial Intelligence Artificial Intelligence

Generative AI for Data Analytics: Top 7 Tools, Use-cases, and More

Data Science Dojo

AUGUST 16, 2024

These models process vast amounts of text data to learn language patterns, enabling them to respond to queries, summarize information, or even generate complex SQL queries based on natural language inputs. It democratizes access to data analytics across an organization.

Analytics

Analytics Analytics Power BI AI

Key Takeaways From Week 4 of the AI Builders Summit — Building AI

ODSC - Open Data Science

FEBRUARY 13, 2025

Attendees left with a clear understanding of how AI can enhance data analysis workflows and improve decision-making in business intelligence applications. She explained how to integrate structured (SQL, CSV) and unstructured data (documents, Slack messages) into Neo4js graph database to create a more context-aware AI system.

AI

AI AI Data Analyst Database

Analyzing the history of Tableau innovation

Tableau

DECEMBER 1, 2021

Tableau has been helping people and organizations to see and understand data for almost two decades, bringing exciting innovations to the landscape of business intelligence with every product release. Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases.

Tableau

Tableau ML ML Database

Celebrating 40 years of Db2: Running the world’s mission critical workloads

IBM Journey to AI blog

SEPTEMBER 11, 2023

Boyce to create Structured Query Language (SQL). Don Haderle, a retired IBM Fellow and considered to be the “father of Db2,” viewed 1988 as a seminal point in its development as D B2 version 2 proved it was viable for online transactional processing (OLTP)—the lifeblood of business computing at the time.

Database

Database SQL Data Warehouse Machine Learning

Connecting Amazon Redshift and RStudio on Amazon SageMaker

AWS Machine Learning Blog

DECEMBER 29, 2022

You can quickly launch the familiar RStudio IDE and dial up and down the underlying compute resources without interrupting your work, making it easy to build machine learning (ML) and analytics solutions in R at scale. Create a SQL editor tab and be sure the sagemaker database is selected. Loading data in Amazon Redshift Serverless.

AWS

AWS Machine Learning Machine Learning Clustering

Build an automated insight extraction framework for customer feedback analysis with Amazon Bedrock and Amazon QuickSight

AWS Machine Learning Blog

JUNE 25, 2024

To create and share customer feedback analysis without the need to manage underlying infrastructure, Amazon QuickSight provides a straightforward way to build visualizations, perform one-time analysis, and quickly gain business insights from customer feedback, anytime and on any device.

AWS

AWS Natural Language Processing Machine Learning Machine Learning

Top Big Data Tools Every Data Professional Should Know

Pickl AI

FEBRUARY 23, 2025

Apache Spark Apache Spark is a unified analytics engine for Big Data processing, with built-in modules for streaming, SQL, Machine Learning , and graph processing. Google Cloud BigQuery Google Cloud BigQuery is a fully-managed enterprise data warehouse that enables super-fast SQL queries using the processing power of Googles infrastructure.

Big Data

Big Data Big Data Apache Hadoop Apache Kafka

Exploring RDBMS: The Backbone of Structured Data Management

Pickl AI

OCTOBER 16, 2024

This article explores RDBMS’s features, advantages, applications across industries, the role of SQL, and emerging trends shaping the future of data management. Additionally, we will examine the role of SQL in RDBMS and look ahead at emerging trends shaping the future of structured data management.

Database

Database SQL Big Data Analytics

Discover the Snowflake Architecture With All its Pros and Cons- NIX United

Mlearning.ai

FEBRUARY 16, 2023

The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. Implementation of Business Intelligence All business intelligence operations heavily rely on quality data, making data warehousing a crucial part of the process.

Data Warehouse

Data Warehouse Business Intelligence Business Intelligence Database

Discover Best AI and Machine Learning Courses For Your Career

Pickl AI

JULY 10, 2024

Machine Learning (ML) is a subset of AI that involves using statistical techniques to enable machines to improve their performance on tasks through experience. AI aims to create intelligent systems capable of performing any task that requires human intelligence. Despite these differences, AI and ML share several similarities.

Machine Learning

Machine Learning Machine Learning Deep Learning Deep Learning

Definite Guide to Building a Machine Learning Platform

The MLOps Blog

MARCH 21, 2023

As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale. Supporting the operations of data scientists and ML engineers requires you to reduce—or eliminate—the engineering overhead of building, deploying, and maintaining high-performance models.

Machine Learning

Machine Learning Machine Learning Data Scientist ML

How to Build an End-to-End Energy Price Forecasting Solution with Snowflake

phData

JANUARY 31, 2024

We’ll cover how to get the data via the Snowflake Marketplace, how to apply machine learning with Snowpark , and then bring it all together to create an automated ML model to forecast energy prices. Where Streamlit shines is creating interactive applications, not typical business intelligence dashboards and reporting.

Machine Learning

Machine Learning Machine Learning Python Data Scientist

What Do You Actually Need from a Data Catalog Tool?

Alation

SEPTEMBER 23, 2021

Business intelligence reports. It offers a broad range of data intelligence solutions, including analytics, data governance, privacy, and cloud transformation. It should also use automation to build a lexicon of your enterprise’s terminology while allowing for manual business glossary suggestions. What Is a Data Catalog?

Data Preparation

Data Preparation SQL Data Governance Data Analysis

The Cloud Connection: How Governance Supports Security

Alation

APRIL 14, 2022

And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. In today’s AI/ML-driven world of data analytics, explainability needs a repository just as much as those doing the explaining need access to metadata, EG, information about the data being used. Support for languages and SQL.

Data Governance

Data Governance ML ML Cloud Data

Tackling AI’s data challenges with IBM databases on AWS

IBM Journey to AI blog

MARCH 14, 2024

.   Request a live demo or start a proof of concept with Amazon RDS for Db2 Db2 Warehouse SaaS on AWS The cloud-native Db2 Warehouse fulfills your price and performance objectives for mission-critical operational analytics, business intelligence (BI) and mixed workloads.

AWS

AWS Database ETL AI

Marketing Questions phData Can Answer with Data

phData

JULY 24, 2024

This analysis can be visualized in a business intelligence dashboard , similar to the example our analytic engineers created here. Utilizing AI and machine learning (ML) models can sound like a daunting task, but it is achievable, especially with the ML engineering experts at phData by your side to guide you in your data journey.

Machine Learning

Machine Learning Machine Learning Data Engineering Data Engineering

Alation 2022.2: Open Data Quality Initiative and Enhanced Data Governance

Alation

MAY 24, 2022

Alation has been leading the evolution of the data catalog to a platform for data intelligence. Higher data intelligence drives higher confidence in everything related to analytics and AI/ML. The glossary experience will be fundamentally enhanced by improving the UI and discoverability of glossaries and related business terms.

Data Quality

Data Quality Data Governance ETL Data Observability

Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise. IBM watsonx.ai

AI

AI AI Machine Learning Machine Learning

Governing ML lifecycle at scale: Best practices to set up cost and usage visibility of ML workloads in multi-account environments

Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas

Webinars

Trending Sources

How Twilio generated SQL using Looker Modeling Language data with Amazon Bedrock

Webinars

Import a fine-tuned Meta Llama 3 model for SQL query generation on Amazon Bedrock

Harness the power of AI and ML using Splunk and Amazon SageMaker Canvas

Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

Enabling AI-powered business intelligence across the enterprise

AWS at Databricks Data + AI Summit 2025

Shaping the future: OMRON’s data-driven journey with AWS

Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time

Future of Data and AI – March 2023 Edition

How Will The Cloud Impact Data Warehousing Technologies?

11 Open Source Data Exploration Tools You Need to Know in 2023

Exploring the Data Science vs Computer Science Debate

Exploring the Data Science vs Computer Science Debate

Transitioning off Amazon Lookout for Metrics

How to become a data scientist

Get insights on your user’s search behavior from Amazon Kendra using an ML-powered serverless stack

Data Science Career Paths: Analyst, Scientist, Engineer – What’s Right for You?

CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

Analyzing the history of Tableau innovation

Microsoft secures your place in the world of business

Using Large Language Models on Amazon Bedrock for multi-step task execution

Asure’s approach to enhancing their call center experience using generative AI and Amazon Q in Quicksight

Top 10 Generative AI Companies Revealed

Generative AI for Data Analytics: Top 7 Tools, Use-cases, and More

Key Takeaways From Week 4 of the AI Builders Summit — Building AI

Analyzing the history of Tableau innovation

Celebrating 40 years of Db2: Running the world’s mission critical workloads

Connecting Amazon Redshift and RStudio on Amazon SageMaker

Build an automated insight extraction framework for customer feedback analysis with Amazon Bedrock and Amazon QuickSight

Top Big Data Tools Every Data Professional Should Know

Exploring RDBMS: The Backbone of Structured Data Management

Discover the Snowflake Architecture With All its Pros and Cons- NIX United

Discover Best AI and Machine Learning Courses For Your Career

Definite Guide to Building a Machine Learning Platform

How to Build an End-to-End Energy Price Forecasting Solution with Snowflake

What Do You Actually Need from a Data Catalog Tool?

The Cloud Connection: How Governance Supports Security

Tackling AI’s data challenges with IBM databases on AWS

Marketing Questions phData Can Answer with Data

Alation 2022.2: Open Data Quality Initiative and Enhanced Data Governance

Top 20 most-asked questions about Amazon RDS for Db2 answered

Exploring the AI and data capabilities of watsonx

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