Alation

JUNE 28, 2022

With a metadata management framework, your data analysts: Optimize search and findability: Create a single portal using role-based access for rapid data access based on job function and need. Establish business glossaries: Define business terms and create standard relationships for data governance.

Data Governance 52

Data Governance Data Analyst Machine Learning Machine Learning 52

The MLOps Blog

MAY 17, 2023

Often the Data Team, comprising Data and ML Engineers , needs to build this infrastructure, and this experience can be painful. We also discuss different types of ETL pipelines for ML use cases and provide real-world examples of their use to help data engineers choose the right one. fillna( iris_transform_df[cols].mean())

ETL 59

ETL Data Pipeline ML ML 59

IBM Journey to AI blog

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

AWS 93

AWS Database ETL AI 93

IBM Journey to AI blog

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. 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.

Data Warehouse 58

Data Warehouse Cloud Data Analytics Analytics 58

Pickl AI

DECEMBER 4, 2023

Imagine this: we collect loads of data, right? Data Intelligence takes that data, adds a touch of AI and Machine Learning magic, and turns it into insights. They guide our decisions, making them more intelligent and more effective. So, what is Data Intelligence with an example?

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

IBM Journey to AI blog

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52

Pickl AI

NOVEMBER 15, 2023

This centralization streamlines data access, facilitating more efficient analysis and reducing the challenges associated with siloed information. With all data in one place, businesses can break down data silos and gain holistic insights. It often serves as a source for Data Warehouses.

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52

phData

JULY 14, 2023

Snowflake Data Cloud is a cloud-based data platform that enables marketers to store, manage, and analyze their data in a secure and cost-effective way. Snowflake provides a unified platform for data storage , analytics, and machine learning, allowing marketers to gain insights into their customers and optimize their campaigns.

Analytics 52

Analytics Analytics Machine Learning Machine Learning 52

IBM Journey to AI blog

SEPTEMBER 5, 2024

Access to high-quality data can help organizations start successful products, defend against digital attacks, understand failures and pivot toward success. Emerging technologies and trends, such as machine learning (ML), artificial intelligence (AI), automation and generative AI (gen AI), all rely on good data quality.

Data Governance 75

Data Governance Data Quality DataOps Artificial Intelligence 75

Alation

OCTOBER 12, 2021

In the past, businesses would collect data, run analytics, and extract insights, which would inform strategy and decision-making. Nowadays, machine learning , AI, and augmented reality analytics are speeding up this process, so that collection and analysis are always on. One step followed the other.

Analytics 52

Analytics Analytics Data Governance DataOps 52

Pickl AI

DECEMBER 10, 2024

Unified Data Fabric Unified data fabric solutions enable seamless access to data across diverse environments, including multi-cloud and on-premise systems. These solutions break down data silos, making it easier to integrate and analyse data from various sources in real-time.

Analytics 52

Analytics Analytics Augmented Analytics Machine Learning 52

Alation

APRIL 7, 2021

It automatically surfaces clues in the data to remove the manual effort of discovery within the huge volume, variety, and veracity of data produced by the modern enterprise. Alation’s data intelligence comes from user behavior. For example, many enterprises find that data workers only use 5 to 10% of all data.

Data Governance 52

Data Governance AWS Data Silos Data Lakes 52

Dataversity

NOVEMBER 10, 2021

Data is generated and collected at each one of these – and numerous other – touchpoints. The post 4 Key Steps to Using Customer Data More Effectively appeared first on DATAVERSITY. Customers now interact with brands in a variety of ways. But many companies do not know […].

Data Silos 95

Data Silos Business Intelligence Business Intelligence Analytics 95

phData

NOVEMBER 13, 2023

Enhanced Collaboration: dbt Mesh fosters a collaborative environment by using cross-project references, making it easy for teams to share, reference, and build upon each other’s work, eliminating the risk of data silos. Tableau (beta) Google Sheets (beta) Hex Klipfolio PowerMetrics Lightdash Mode Push.ai

Database 52

Database Business Intelligence Business Intelligence Data Silos 52

Dataversity

APRIL 1, 2021

Click here to learn more about Amit Levi. In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business.

Analytics 69

Analytics Analytics Data Silos Data Lakes 69

Flipboard

DECEMBER 4, 2024

The use of separate data warehouses and lakes has created data silos, leading to problems such as lack of interoperability, duplicate governance efforts, complex architectures, and slower time to value. You can use Amazon SageMaker Lakehouse to achieve unified access to data in both data warehouses and data lakes.

Data Lakes 138

Data Lakes Data Warehouse AWS Database 138

Alation

JULY 12, 2022

And even then I would focus on building in small manageable chunks focused around business need.”. For instance, I have experienced machine learning libraries that worked on-premises but not for the cloud version of a database system. In some cases, you might need to keep some data or components on-premises.

Cloud Data 52

Cloud Data Data Warehouse Database Machine Learning 52

Dataconomy

MARCH 18, 2025

Continuous intelligence is the real-time analysis and processing of data streams to enable automated decision-making and insights. It integrates artificial intelligence, machine learning, and analytics to provide dynamic responses, often used in fraud detection, IoT monitoring, and operational optimization.

Machine Learning 91

Machine Learning Machine Learning Data Analysis Data Analysis 91

AWS Machine Learning Blog

DECEMBER 3, 2024

Amazon Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems.

AWS 86

AWS Database Data Silos Data Lakes 86