DataRobot Blog

AUGUST 16, 2022

If you’ve been keeping up with business literature lately, you know that adopting artificial intelligence (AI) strategies can increase company revenue, improve efficiency, and keep customers happy. Companies using Data/MLOps tools do particularly well in versioning and creating documentation, providing management frameworks, and testing.

DataOps 52

DataOps AI AI ML 52

IBM Journey to AI blog

OCTOBER 22, 2024

Data is the differentiator as business leaders look to utilize their competitive edge as they implement generative AI (gen AI). Leaders feel the pressure to infuse their processes with artificial intelligence (AI) and are looking for ways to harness the insights in their data platforms to fuel this movement.

Data Silos 102

Data Silos Data Pipeline DataOps Business Intelligence 102

Dataconomy

MAY 26, 2025

Building robust architecture Creating a flexible data architecture ensures that the management system is able to adapt to evolving needs. Enhancing data accessibility Strategies to eliminate data silos are crucial for ensuring that data flows smoothly across various systems.

Big Data 91

Big Data Big Data Apache Hadoop Data Quality 91

Precisely

FEBRUARY 9, 2024

In 2023, organizations dealt with more data than ever and witnessed a surge in demand for artificial intelligence use cases – particularly driven by generative AI. They relied on their data as a critical factor to guide their businesses to agility and success.

Data Quality 69

Data Quality DataOps Data Silos Artificial Intelligence 69

IBM Journey to AI blog

SEPTEMBER 5, 2024

Access to high-quality data can help organizations start successful products, defend against digital attacks, understand failures and pivot toward success. Emerging technologies and trends, such as machine learning (ML), artificial intelligence (AI), automation and generative AI (gen AI), all rely on good data quality.

Data Governance 75

Data Governance Data Quality DataOps Artificial Intelligence 75

Pickl AI

DECEMBER 11, 2024

Summary: Lean data management enhances agility by streamlining data processes, reducing waste, and ensuring accuracy and relevance. By leveraging AI and automation, organisations optimise operations and maintain competitive advantage in fast-changing markets. It enables faster decisions, better collaboration, and scalability.

Data Silos 52

Data Silos Data Pipeline Artificial Intelligence Artificial Intelligence 52

Alation

OCTOBER 12, 2021

Data engineering. DataOps. … In the past, businesses would collect data, run analytics, and extract insights, which would inform strategy and decision-making. Nowadays, machine learning , AI, and augmented reality analytics are speeding up this process, so that collection and analysis are always on. Linear programming.

Analytics 52

Analytics Analytics Data Governance DataOps 52