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

ODSC - Open Data Science

SEPTEMBER 27, 2023

In contrast, data warehouses and relational databases adhere to the ‘Schema-on-Write’ model, where data must be structured and conform to predefined schemas before being loaded into the database. Storage Optimization: Data warehouses use columnar storage formats and indexing to enhance query performance and data compression.

Big Data 98

Big Data Metadata ETL Data Science 98

AWS Machine Learning Blog

NOVEMBER 15, 2023

After a few minutes, a transcript is produced with Amazon Transcribe Call Analytics and saved to another S3 bucket for processing by other business intelligence (BI) tools. PCA’s security features ensure that any PII data was redacted from the transcript, as well as from the audio file itself.

Data Ingestion 120

Data Ingestion Metadata NLP Data Scientist 120

AWS Machine Learning Blog

SEPTEMBER 27, 2024

We can also gain an understanding of data presented in charts and graphs by asking questions related to business intelligence (BI) tasks, such as “What is the sales trend for 2023 for company A in the enterprise market?” Second, we want to add metadata to the CloudFormation template. csv files are uploaded.

Metadata 123

Metadata Generative AI LLM Large Language Models 123

AWS Machine Learning Blog

OCTOBER 2, 2024

However, a more holistic organizational approach is crucial because generative AI practitioners, data scientists, or developers can potentially use a wide range of technologies, models, and datasets to circumvent the established controls. Tanvi Singhal is a Data Scientist within AWS Professional Services.

Generative AI 122

Generative AI Data Ingestion AI AI 122

Pickl AI

NOVEMBER 15, 2023

Unlike traditional databases, Data Lakes enable storage without the need for a predefined schema, making them highly flexible. Importance of Data Lakes Data Lakes play a pivotal role in modern data analytics, providing a platform for Data Scientists and analysts to extract valuable insights from diverse data sources.

ETL 52

ETL Metadata Business Intelligence Data Analysis 52

Viso.ai

NOVEMBER 19, 2023

Hence, the list includes AI software for innovation teams and the best AI platforms for developers and data scientists looking to adopt new, emerging technology for innovation projects. It enables businesses and organizations to analyze calls using the most up-to-date speech and natural language processing technologies effectively.

Computer Vision 97

Computer Vision Machine Learning Natural Language Processing Deep Learning 97

Mlearning.ai

FEBRUARY 16, 2023

Today, companies are facing a continual need to store tremendous volumes of data. The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. Data warehousing is a vital constituent of any business intelligence operation.

Business Intelligence 52

Business Intelligence Data Ingestion Metadata Machine Learning 52

Pickl AI

JANUARY 16, 2024

Cybersecurity Analyst Safeguarding organisations by analysing data to identify and prevent cyber threats, ensuring the security and integrity of digital systems. Spatial Data Scientist Utilising geographical data to gain insights, solve location-based problems, and contribute to urban planning, environmental conservation, and logistics.

Data Analysis 52

Data Analysis Data Scientist Data Science Machine Learning 52

Pickl AI

JULY 29, 2024

Master Nodes The master node is responsible for managing the cluster’s resources and coordinating the data processing tasks. It typically runs several critical services: NameNode: This service manages the Hadoop Distributed File System (HDFS) metadata, keeping track of the location of data blocks across the cluster.

Big Data 52

Big Data Metadata Data Quality Machine Learning 52

Heartbeat

NOVEMBER 20, 2023

The data in other blockchain applications can represent various information, including voting records, medical records, identification information, supply chain data, and executable code for smart contracts. The block header is the first piece of metadata in each block. Nonce: This is a complete 32-bit value.

Machine Learning 52

Machine Learning Algorithm ML Deep Learning 52

Artificial Corner

JUNE 6, 2023

This period also saw the development of the first data warehouses, large storage repositories that held data from different sources in a consistent format. The concept of data warehousing was introduced by Bill Inmon, often referred to as the “father of data warehousing.”

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

The MLOps Blog

MARCH 21, 2023

From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. 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.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69

Unite.AI

SEPTEMBER 19, 2024

HeavyIQ excels in environments where you're dealing with large-scale, high-velocity data—exactly the kind of data telcos, utilities, and government agencies handle. Traditional business intelligence tools often struggle with the volume and speed of this data. 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 117

ML Data Quality AI AI 117

IBM Journey to AI blog

AUGUST 4, 2023

When done well, data democratization empowers employees with tools that let everyone work with data, not just the data scientists. When workers get their hands on the right data, it not only gives them what they need to solve problems, but also prompts them to ask, “What else can I do with data?

Machine Learning 183

Machine Learning Metadata Automation AI 183

Pickl AI

FEBRUARY 9, 2025

As a software suite, it encompasses a range of interconnected products, including Tableau Desktop, Server, Cloud, Public, Prep, and Data Management, and Reader. At its core, it is designed to help people see and understand data. It disrupts traditional business intelligence with intuitive, visual analytics for everyone.

Big Data 52

Big Data Data Quality Data Analysis Data Discovery 52