Smart Data Collective

APRIL 15, 2021

Business Intelligence is the practice of collecting and analyzing data and transforming it into useful, actionable information. In order to make good business decisions, leaders need accurate insights into both the market and day-to-day operations. What kinds of BI tools are available ? This article aims to outline the process.

Business Intelligence 108

Business Intelligence Business Intelligence Analytics Analytics 108

databricks

JUNE 12, 2025

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

Data Engineer 130

Data Engineer Data Engineering Data Engineering Data Engineering 130

Flipboard

MAY 1, 2025

Mortgage processing is a complex, document-heavy workflow that demands accuracy, efficiency, and compliance. These agents orchestrate the entire mortgage approval processintelligently verifying documents, assessing risk, and making data-driven decisions with minimal human intervention. Why agentic IDP?

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AWS AI AI Cross Validation 153

Dataconomy

JUNE 11, 2025

End-users of data catalogs Typical users include data scientists, analysts, data engineers, and business users. Additionally, roles within business intelligence (BI) and data governance teams frequently rely on data catalogs to perform their tasks. AI and machine learning: Automation of metadata processes to enhance efficiency.

Data Governance 91

Data Governance Business Intelligence Business Intelligence Analytics 91

databricks

JUNE 4, 2025

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

AWS 130

AWS AI AI Data Science 130

Flipboard

NOVEMBER 27, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL, business intelligence (BI), and reporting tools. To add documentation: Run dbt docs generate to generate the documentation for your project.

ETL 138

ETL Data Warehouse Analytics Analytics 138

Tableau

JANUARY 27, 2021

This week, Gartner published the 2021 Magic Quadrant for Analytics and Business Intelligence Platforms. Gartner Magic Quadrant for Analytics and Business Intelligence, 15 February 2021 , James Richardson, Rita Sallam, Kurt Schlegel, Austin Kronz, Julian Sun. Francois Ajenstat. Kristin Adderson. January 27, 2021 - 4:36pm.

Tableau 102

Tableau Business Intelligence Business Intelligence Analytics 102

Flipboard

MAY 14, 2025

Their information is split between two types of data: unstructured data (such as PDFs, HTML pages, and documents) and structured data (such as databases, data lakes, and real-time reports). Documents require standard search tools, and structured data needs business intelligence (BI) tools such as Amazon QuickSight.

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AWS Machine Learning Blog

SEPTEMBER 3, 2024

collect() Next, you can visualize the size of each document to understand the volume of data you’re processing. Adjust the layout plt.tight_layout() # Show the plot plt.show() %matplot plt Every PDF document contains multiple pages to process, and this task can be run in parallel using Spark. latest USER root RUN dnf install python3.11

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AWS Clustering Big Data Big Data 121

Flipboard

MARCH 25, 2025

Asking an LLM to summarize specific documents bounds the probabilistic output to the content within the documents selected. What if that offering could also provide links and references to those documents too? a leading provider of information, business intelligence, regulatory and legal workflow solutions.

Database 144

Database Business Intelligence Business Intelligence AI 144

Pickl AI

JANUARY 28, 2025

Summary: Understanding Business Intelligence Architecture is essential for organizations seeking to harness data effectively. By implementing a robust BI architecture, businesses can make informed decisions, optimize operations, and gain a competitive edge in their industries. What is Business Intelligence Architecture?

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

Smart Data Collective

SEPTEMBER 29, 2022

One study by Think With Google shows that marketing leaders are 130% as likely to have a documented data strategy. Optical Character Recognition, or OCR, is a technology for reading documents and extracting data. Optical Character Recognition, or OCR, is a technology for reading documents and extracting data.

Data Quality 145

Data Quality Big Data Big Data Artificial Intelligence 145

phData

APRIL 5, 2024

With an endless stream of documents that live on the internet and internally within organizations, the hardest challenge hasn’t been finding the information, it is taking the time to read, analyze, and extract it. What is Document AI from Snowflake? Document AI is a new Snowflake tool that ingests documents (e.g.,

AI 52

AI AI Natural Language Processing Tableau 52

Data Science Dojo

SEPTEMBER 19, 2024

It’s particularly useful for working with extensive documents or performing detailed code analysis. Legal Document Analysis and Processing: In legal and professional services, the o1 models can be used to analyze lengthy contracts, case files, and legal documents.

Business Intelligence 195

Business Intelligence Business Intelligence Artificial Intelligence Artificial Intelligence 195

Flipboard

NOVEMBER 22, 2024

We are excited about the potential productivity gain and acceleration for generative-AI application development with Bedrock Flows.” – Laura Skylaki, VP of Artificial Intelligence, Business Intelligence and Data Platforms at Thomson Reuters. We have successfully leveraged Amazon Bedrock Flows to transform customer experiences.

AWS 165

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AWS Machine Learning Blog

NOVEMBER 19, 2024

Its agent for software development can solve complex tasks that go beyond code suggestions, such as building entire application features, refactoring code, or generating documentation. Learn how to harness the power of AWS AI chips to create intelligent systems that understand and process text, images, and video.

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AWS ML ML AI 111

Data Science Dojo

SEPTEMBER 19, 2024

It’s particularly useful for working with extensive documents or performing detailed code analysis. Legal Document Analysis and Processing: In legal and professional services, the OpenAI o1 models can be used to analyze lengthy contracts, case files, and legal documents.

Business Intelligence 195

Business Intelligence Business Intelligence Artificial Intelligence Artificial Intelligence 195

Smart Data Collective

JANUARY 26, 2021

However, big data often encapsulates using constantly growing data sets to determine business intelligence objectives, such as when to expand into a new market, which product might perform overseas, and which regions to expand into. How do I choose a translation business? How to Find a Quality Translation Company.

Big Data 141

Big Data Big Data Business Intelligence Business Intelligence 141

Smart Data Collective

SEPTEMBER 26, 2021

An analyst can examine the data using business intelligence tools to derive useful information. . A NoSQl database can use documents for the storage and retrieval of data. The central concept is the idea of a document. Documents encompass and encode data (or information) in a standard format. Speaking of which.

Database 130

Database Data Visualization Big Data Big Data 130

Data Science Dojo

SEPTEMBER 19, 2024

It’s particularly useful for working with extensive documents or performing detailed code analysis. Legal Document Analysis and Processing: In legal and professional services, the OpenAI o1 models can be used to analyze lengthy contracts, case files, and legal documents.

Business Intelligence 195

Business Intelligence Business Intelligence Artificial Intelligence Artificial Intelligence 195

AWS Machine Learning Blog

DECEMBER 3, 2024

Although generative AI is fueling transformative innovations, enterprises may still experience sharply divided data silos when it comes to enterprise knowledge, in particular between unstructured content (such as PDFs, Word documents, and HTML pages), and structured data (real-time data and reports stored in databases or data lakes).

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AWS Database Data Silos Data Lakes 106

Dataconomy

SEPTEMBER 4, 2023

Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence. Documentation: Maintain comprehensive documentation for data sources, analytics processes, and data transformations.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

AWS Machine Learning Blog

APRIL 3, 2025

Embracing generative AI with Amazon Bedrock The company has identified several use cases where generative AI can significantly impact operations, particularly in analytics and business intelligence (BI). This tool democratizes data access across the organization, enabling even nontechnical users to gain valuable insights.

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AWS Data Governance Data Silos SQL 91

AWS Machine Learning Blog

FEBRUARY 25, 2025

These included document translations, inquiries about IDIADAs internal services, file uploads, and other specialized requests. This approach allows for tailored responses and processes for different types of user needs, whether its a simple question, a document translation, or a complex inquiry about IDIADAs services.

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Algorithm Machine Learning Machine Learning K-nearest Neighbors 86

AWS Machine Learning Blog

JUNE 3, 2025

Amazon Simple Storage Service (Amazon S3) provides secure storage for conversation logs and supporting documents, and Amazon Bedrock powers the core natural language processing capabilities. Amazon Elastic Compute Cloud (Amazon EC2) serves as the primary compute layer, using Spot Instances to optimize costs.

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AWS AI AI Machine Learning 100

Data Science Dojo

APRIL 6, 2023

However, data is typically stored in databases and requires SQL or business intelligence tools for access. Instead, they store data in a flexible format, such as key-value pairs, document-based, or graph-based. It is widely used in data warehousing, business intelligence, and scientific applications.

Database 195

Database SQL Data Science Business Intelligence 195

Smart Data Collective

AUGUST 8, 2022

It’s a prominent free new feature to integrate better documentation and daily engineering and product work execution. According to its co-founder and CEO, Kurt Schrader , “With Docs, we want to make Shortcut an even more flexible space to create and collaborate around design documents.”

AI 119

AI AI Artificial Intelligence Artificial Intelligence 119

Dataconomy

MARCH 21, 2025

Historically, NLP has evolved significantly from its early days in the 1950s to contemporary applications in areas like medical diagnostics and business intelligence. Gensim: Primarily used for topic modeling and document similarity analysis. Open source NLP tools Several open-source tools empower NLP practitioners.

Natural Language Processing 103

Natural Language Processing Deep Learning Deep Learning Machine Learning 103

AWS Machine Learning Blog

APRIL 30, 2024

If you want to learn more about how to set up and administer Q Business, check out the News Blog: Amazon Q Business. Generative BI allows analysts and business users to build detailed dashboards in minutes Amazon QuickSight is AWS’s unified Business Intelligence (BI) service built for the cloud.

AWS 133

AWS Business Intelligence Business Intelligence AI 133

Tableau

JANUARY 27, 2021

This week, Gartner published the 2021 Magic Quadrant for Analytics and Business Intelligence Platforms. Gartner Magic Quadrant for Analytics and Business Intelligence, 15 February 2021 , James Richardson, Rita Sallam, Kurt Schlegel, Austin Kronz, Julian Sun. Francois Ajenstat. Kristin Adderson. January 27, 2021 - 4:36pm.

Tableau 52

Tableau Business Intelligence Business Intelligence Analytics 52

Data Science Dojo

JUNE 22, 2023

Free to use] Docugami is an AI-driven business document management system that can help you to organize, store, and share documents more effectively. Free trial available] Notion AI is a content and writing assistant that is tailored for business applications.

AI 195

AI AI Business Intelligence Business Intelligence 195

AWS Machine Learning Blog

MARCH 18, 2025

Site monitors conduct on-site visits, interview personnel, and verify documentation to assess adherence to protocols and regulatory requirements. However, this process can be time-consuming and prone to errors, particularly when dealing with extensive audio recordings and voluminous documentation.

AWS 116

AWS AI AI Data Quality 116

Flipboard

FEBRUARY 1, 2023

A new third-party add-in for Microsoft Word, called Ghostwriter, allows users to query OpenAI’s ChatGPT in a Word sidebar and watch content generated by the natural language chatbot unfurl directly in the document they’re drafting. He makes software through his Creative Data Studios one-person development shop.

Natural Language Processing 177

Natural Language Processing Azure Business Intelligence Business Intelligence 177

AWS Machine Learning Blog

OCTOBER 23, 2024

Enrich and boost your post-call recording files with Amazon Q and Amazon Quicksight Amazon QuickSight is a unified business intelligence (BI) service that provides modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and embedded analytics at scale.

Analytics 90

Analytics Analytics AWS Business Intelligence 90

Smart Data Collective

AUGUST 17, 2022

For example- If you are supposed to process and document which has many key data sets like an employee insurance policy form. For example- you may use various business intelligence tools like QuickSight to embed the data into an internal Kafka dashboard.

Apache Kafka 130

Apache Kafka ETL Data Lakes AWS 130

Smart Data Collective

AUGUST 9, 2022

The four main types are: Document databases. These store data in JSON-like documents, with each document containing pairs of values and fields. One of the most common drawbacks of most NoSQL databases is the inability to carry out ACID transactions between multiple documents. What are the types of NoSQL databases?

Database 122

Database SQL Big Data Big Data 122

Data Science 101

DECEMBER 3, 2019

Do you have a data governance document? Do you have a Business Intelligence (BI) tool? Do you currently use data to answer any questions? Do you have any dashboards? What data do you collect? What are the organizations long-term plans? Technical Questions Before Starting a Data Strategy. What is the current data infrastructure?

Data Warehouse 84

Data Warehouse Data Governance Business Intelligence Business Intelligence 84