What machine learning framework works best for personalized email optimization?
Category - Article
The 6th Edition of Data 2030 Summit: All About Data Management and Much More
This year's Data 2030 Summit was more insightful, immersive, and collaborative. Allow us to tell you why!
Value Management for Sustainable Data and AI Transformations: Interview With Jo Coutuer, BNP Paribas Fortis
The key to sustainable value management of any Data and AI transformation are practices around Discovery, Ensuring Efficiency, Setting Priorities, & Valorisation.
Responsible AI: From Principles to Practice
As organisations move from words to principles, find out why should organisations consider Responsible AI through the AI life cycle.
The Role of Metadata and Metadata Lake For a Successful Data Architecture: Interview with Mahmoud Yassin, Booking.com
Find out about the role of metadata & Metadata Lake for a successful data architecture
Data Visualisation and Storytelling – Facts, Tools, Skills & Use Cases
Why Data Visualisations and Storytelling are the future for organisations? Find out through the stories in this article.
What You Need to Know About Data Lakehouse
We are in an era of a massive collection of different types of data through tremendous sources. But for businesses leveraging data is not easy. There are several reasons.
How Can Private Markets Benefit From ML and Deep Learning Models?
This article presents one solution that proposes a way to overcome the challenges that private markets face when applying ML and deep learning.
Introduction to Knowledge Graph: Importance, Tools and Examples
You may come across different opinions about what Knowledge Graph is across the industries since every organisation is trying to come up with their own definition and ways to maximize the value from it.
If Data Mesh Is Not Architecture, What Is It?
Data Mesh has been seeing a lot of hype over the last couple of years because it is a new way of managing data, aiming to solve the problem of scalability of monolithic data architecture.