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.

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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.

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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.

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Data Warehouse Big Data Big Data Big Data Analytics 144

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.

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Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

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 52

Data Science Data Analyst Data Scientist Machine Learning 52

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.

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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.

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Computer Science Computer Science Data Science Machine Learning 195

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.

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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.

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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.

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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.

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ML ML AWS Database 96

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.

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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.

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Database Administration Database Azure Cloud Computing 113

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 (..)

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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.

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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.

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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.

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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.

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Database SQL Data Warehouse Machine Learning 101

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.

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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.

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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.

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AWS Natural Language Processing Machine Learning Machine Learning 128

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.

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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.

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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.

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Machine Learning Machine Learning Data Scientist ML 69

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.

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Machine Learning Machine Learning Python Data Scientist 52

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?

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Data Preparation SQL Data Governance Data Analysis 52

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.

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Data Governance ML ML Cloud Data 59

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.

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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.

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Data Quality Data Governance ETL Data Observability 98

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.

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Machine Learning Machine Learning Data Engineer Data Engineering 52

IBM Journey to AI blog

APRIL 8, 2024

Also, it supports existing configurations, such as the use of stored procedures (PL/SQL and Java-based), with the ability to change database parameters and registry variables with DBADM access. How can I find out about new features or planned technical updates for RDS for Db2? . Amazon RDS   Scalability 5.

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AWS Database Data Warehouse Analytics 87

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

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AI AI Machine Learning Machine Learning 74

AWS Machine Learning Blog

SEPTEMBER 28, 2023

Building an embeddings model requires massive amounts of data, resources, and ML expertise, putting RAG out of reach for many organizations. In concert with our ongoing investments in ML infrastructure, Amazon Bedrock is the best place for customers to build and scale generative AI applications.

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IBM Journey to AI blog

JULY 11, 2023

They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics that enable faster decision making and insights. The BDI workload is an IBM-defined workload that models a day in the life of a Business Intelligence application.

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IBM Journey to AI blog

AUGUST 4, 2023

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. It uses knowledge graphs, semantics and AI/ML technology to discover patterns in various types of metadata.

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Data Lakes AI AI Data Governance 73

Pickl AI

JANUARY 9, 2025

Expertise in tools like Power BI, SQL, and Python is crucial. Expertise in programs like Microsoft Excel, SQL , and business intelligence (BI) tools like Power BI or Tableau allows analysts to process and visualise data efficiently. Key Takeaways Operations Analysts optimise efficiency through data-driven decision-making.

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Power BI Machine Learning Machine Learning Tableau 52

Alation

SEPTEMBER 7, 2021

Imagine writing a SQL query or using a BI dashboard with flags & warnings on compliance best practice within your natural workflow. Second, managing policies in SQL is simply not scalable. TrustCheck can be integrated with popular business intelligence BI tools, like Tableau, which supply quality information as you use these tools.

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Data Governance Data Scientist Data Quality Data Profiling 59