Dataconomy

AUGUST 24, 2023

In the modern era of data-driven decision-making, business intelligence projects have become the cornerstone for organizations aiming to harness their data for strategic insights. There are perhaps thousands of different approaches to the analysis of data, each with the potential to create new business intelligence projects.

Business Intelligence 172

Business Intelligence Business Intelligence Data Analysis Data Analysis 172

Tableau

MAY 27, 2021

Dylan Tong, Global Segment Lead Architect, AI Augmented Analytics, AWS. The ability to forecast demand and predict behavior can drive business growth, reduce churn and attrition, and optimize processes and supply chains. . Formulate machine learning (ML) problem. May 27, 2021 - 2:29pm. May 27, 2021. Madeleine Corneli, Sr.

Tableau 102

Tableau AWS Data Science ML 102

ODSC - Open Data Science

JUNE 1, 2023

Real-Time ML with Spark and SBERT, AI Coding Assistants, Data Lake Vendors, and ODSC East Highlights Getting Up to Speed on Real-Time Machine Learning with Spark and SBERT Learn more about real-time machine learning by using this approach that uses Apache Spark and SBERT. Register for free!

Data Lakes 52

Data Lakes ML ML Citizen Data Scientist 52

Dataversity

JULY 15, 2021

There is currently a massive insights gap caused by silos between business intelligence (BI) dashboards and machine learning (ML) and AI tools that is preventing organizations from capturing new business opportunities hidden in their data. Click to learn more about author Ajay Khanna.

Business Intelligence 52

Business Intelligence Business Intelligence Machine Learning Machine Learning 52

Tableau

MAY 27, 2021

Dylan Tong, Global Segment Lead Architect, AI Augmented Analytics, AWS. The ability to forecast demand and predict behavior can drive business growth, reduce churn and attrition, and optimize processes and supply chains. . Formulate machine learning (ML) problem. May 27, 2021 - 2:29pm. May 27, 2021. Madeleine Corneli, Sr.

Tableau 52

Tableau AWS Data Science ML 52

Pickl AI

DECEMBER 10, 2024

This democratisation of data access empowers cross-functional teams to collaborate effectively on analytics initiatives. Feature Stores for AI/ML Feature stores play a vital role in operationalising Machine Learning (ML). They centralise and standardise the creation, storage, and reuse of featureskey inputs for ML models.

Analytics 52

Analytics Analytics Augmented Analytics Machine Learning 52

Alation

AUGUST 26, 2021

Under an active data governance framework , a Behavioral Analysis Engine will use AI, ML and DI to crawl all data and metadata, spot patterns, and implement solutions. Data Intelligence and Active Metadata. How Do Data Intelligence Tools Support Data Culture? BI and AI for Data Intelligence. Augmented Analytics.

Data Governance 64

Data Governance ML ML Augmented Analytics 64