Marktechpost

JUNE 5, 2024

Analytics, management, and business intelligence (BI) procedures, such as data cleansing, transformation, and decision-making, rely on data profiling. Content and quality reviews are becoming more important as data sets grow in size and variety of sources.

Data Quality 113

Data Quality Metadata Data Integration ETL 113

IBM Journey to AI blog

JULY 13, 2023

The more complete, accurate and consistent a dataset is, the more informed business intelligence and business processes become. To standardize data, business rules are applied to ensure datasets conform to an organization’s standards and needs.

Data Quality 189

Data Quality Data Integration Metadata Automation 189

AWS Machine Learning Blog

AUGUST 8, 2024

This post highlights how Twilio enabled natural language-driven data exploration of business intelligence (BI) data with RAG and Amazon Bedrock. Twilio’s use case Twilio wanted to provide an AI assistant to help their data analysts find data in their data lake.

Metadata 118

Metadata LLM Prompt Engineer Prompt Engineering 118

IBM Journey to AI blog

SEPTEMBER 17, 2024

Performance benchmarks Our in-memory TM1 engine rapidly analyzes big data, delivering real-time insights and AI-powered forecasting for faster, more accurate planning. Data updates are processed instantly, reflecting changes in real time and handling millions of rows per second, so decision-makers have up-to-date information.

Big Data 100

Big Data Metadata Business Intelligence Data Integration 100

Pickl AI

NOVEMBER 15, 2023

Data scientists can explore, experiment, and derive valuable insights without the constraints of a predefined structure. This capability empowers organizations to uncover hidden patterns, trends, and correlations in their data, leading to more informed decision-making. It often serves as a source for Data Warehouses.

ETL 52

ETL Metadata Business Intelligence Data Analysis 52

Artificial Corner

JUNE 6, 2023

Timeline of data engineering — Created by the author using canva In this post, I will cover everything from the early days of data storage and relational databases to the emergence of big data, NoSQL databases, and distributed computing frameworks.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

Pickl AI

JULY 19, 2024

Network software facilitates data communication, and application software interacts with the DBMS to perform specific tasks. Data The core of the system. It includes the database itself, which is a collection of interrelated data. Metadata, or data about data, describes the database’s structure and organisation.

Data Integration 52

Data Integration Metadata Big Data Business Intelligence 52

AWS Machine Learning Blog

OCTOBER 2, 2024

Additionally, you can enable model invocation logging to collect invocation logs, full request response data, and metadata for all Amazon Bedrock model API invocations in your AWS account. Tanvi Singhal is a Data Scientist within AWS Professional Services.

Generative AI 119

Generative AI Data Ingestion AI AI 119

Viso.ai

NOVEMBER 19, 2023

It is useful for various tasks related to machine learning, deep learning, data management, Natural Language Processing (NLP) , etc. Infosys Nia provides companies with the opportunity to leverage AI on existing big data, by automating repetitive tasks and scheduled responsibilities. You can schedule a demo with an Observe.AI

Computer Vision 97

Computer Vision Natural Language Processing Machine Learning Deep Learning 97

Pickl AI

JANUARY 16, 2024

Trends in Data Analytics career path Trends Key Information Market Size and Growth CAGR Big Data Analytics Dealing with vast datasets efficiently. Cloud-based Data Analytics Utilising cloud platforms for scalable analysis. billion 28% AI-Powered Data Analytics Transformation in decision-making speed.

Data Analysis 52

Data Analysis Data Scientist Data Science Machine Learning 52

AWS Machine Learning Blog

MAY 10, 2023

Business analysts play a pivotal role in facilitating data-driven business decisions through activities such as the visualization of business metrics and the prediction of future events. You can add metadata to the policy by attaching tags as key-value pairs, then choose Next: Review. Choose Next: Tags.

ML 89

ML Data Analysis Machine Learning Metadata 89

Unite.AI

SEPTEMBER 19, 2024

It leverages both GPU and CPU processing to query massive datasets quickly, with support for SQL and geospatial data. The platform includes visual analytics tools for interactive dashboards, cross-filtering, and scalable data visualizations, enabling efficient big data analysis across various industries. How does HEAVY.AI

Metadata 130

Metadata Big Data Large Language Models Natural Language Processing 130

AWS Machine Learning Blog

AUGUST 12, 2024

AWS data engineering pipeline The adaptable approach detailed in this post starts with an automated data engineering pipeline to make data stored in Splunk available to a wide range of personas, including business intelligence (BI) analysts, data scientists, and ML practitioners, through a SQL interface.

ML 115

ML Data Quality AI AI 115