ML

The ever-growing data landscape drives initiatives to automate many aspects of the analytics lifecycle; such as data access, enablement of semantics, BI and others. Automation has become an integral part of our daily lives in the enterprise data fabric. The AI-driven initiative to automate the data access and provide guidance to the right data assets, correlates with the initiatives of the data scientists to get access to more curated data.In this session we will discuss:The need for AI driven automation and associated challengesLogical Data Fabric architecture for AI initiativesEmpowering...

Chris Walters, Senior Data Solutions Consultant for Denodo, demonstrates an scenario based on how to integrate data from 3 disparate sources to determine the impact of a new marketing campaign on total sales in each country in which they do business to show how a properly implemented logical data fabric is the most suitable approach for Unified Data Platforms across enterprises and organizations.Watch full webinar here.

Given the growing demand for analytics and the need for organizations to advance beyond dashboards to self-service analytics and more sophisticated algorithms like machine learning (ML), enterprises are moving towards a unified environment for data and analytics. What is the best approach to accomplish this unification?In TDWI’s recent Best Practice Report, Unified Platforms for Modern Analytics, written by Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics, adoption, use, challenges, architectures, and best practices for unified platforms for modern analytics is...

Data Scientists are often in need of data from many datasets to get proper insights for their AI / ML needs. Even if they figure out the location of their datasets, accessing, transforming and having the ability to store in a single place for frequent access is often difficult and time intensive. With Denodo Platform, you can easily apply the transformations and then make it available for your end users. Additionally, you can also automate this process using our Scheduler jobs.Watch on-demand & Learn how Denodo helps you:Combine data from multiple datasetsTransform the data into a usable...