In a world where not only data volumes, but also the speed of data creation keep growing, data experts spend more than 80% of their time treating and preparing data. As a result, according to the “80-20 data science dilemma”, only 20% of a data scientist’s time goes into the actual modeling of data. What does this mean for your data-related projects, and how can organizations optimize their data preparation processes?
SHARE :
This Excel document is part of the company profiles PAC publishes every year at local, regional and worldwide level;
Event Date : June 06, 2025
Over the past few years, governments and international bodies (UN, OECD) worldwide have developed guidelines and regulations on using artificial ...
Event Date : June 15, 2023
This short vendor profile provides a quick overview of the local portfolio and performance of Capgemini in Germany.
Event Date : December 09, 2024
This document provides market volumes, growth rates and forecasts for the AI market in Italy for the 2022-2028 period.
Event Date : October 11, 2024
This report focuses on the largest services providers and other companies that are active in the metaverse space today as well as on the most ...
Event Date : October 05, 2022
Expert View: Creating Cohesive Omnichannel Experiences Using Agentic AI
Market Reports April 01, 2026
Atos - Figures - Netherlands – FY 31-Dec-2025
Datamart March 31, 2026
Infosys - Figures - UK - FY 31-Mar-2025
Datamart March 31, 2026
Vendor Profile March 31, 2026
Expert View: The Role of AI Agents in Conversational Commerce
Market Reports March 31, 2026
Atos: Cause for Optimism, Despite the Headlines
Blog Post February 05, 2024
Blog Post March 27, 2026
NTT DATA’s Horizons Innovation Summit 2026 Explores AI Opportunities
Blog Post March 27, 2026
Part 10: The Future of IAM – Decentralized Identity, AI, and What’s Coming Next
Blog Post March 26, 2026
Part 9: IAM and Compliance – Turning Control into Confidence
Blog Post March 24, 2026
Blog Post March 18, 2026