CIO Business Intelligence

APRIL 24, 2025

The first wave of generative artificial intelligence (GenAI) solutions has already achieved considerable success in companies, particularly in the area of coding assistants and in increasing the efficiency of existing SaaS products. How many such AI agents might a large company need? The short answer is no.

Enterprise 125

Enterprise Sales Cost-Benefit B2B 125

Dataiku

DECEMBER 19, 2024

Most of the time, business teams have a good idea of what they want to achieve when implementing AI use cases. However, when it comes to getting started they often face roadblocks. These projects often require specialized skills and a strong understanding of industry best practices.

IT 52

IT 52

CIO Business Intelligence

MAY 26, 2022

How can it be built? How can it be trained? But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems. As a result, it can take more than nine months on average to deploy an AI or ML solution, according to IDC data. “We This is where MLOps comes in.

Machine Learning 145

Machine Learning Data-driven Modeling Dashboards 145

CIO Business Intelligence

MAY 28, 2022

How can it be built? How can it be trained? But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems. As a result, it can take more than nine months on average to deploy an AI or ML solution, according to IDC data. “We This is where MLOps comes in.

Machine Learning 143

Machine Learning Data-driven Modeling Dashboards 143

Alation

JANUARY 17, 2023

But you may not actually know what it really meant because many people use it as a buzzword! The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. How Did the Modern Data Stack Get Started? What Is the Modern Data Stack?

Data Warehouse 52

Data Warehouse Cost-Benefit Data Science Data Transformation 52