Remove Cost-Benefit Remove Data Enablement Remove Data Processing Remove Document
article thumbnail

A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

How do you scale an organization without hiring an army of hard-to-find data engineering talent? Or, as one of our customers put it, “How do I increase the total amount of team insight generated without continually adding more staff (and cost)?” Staff turnover, stress, and unhappiness. Summary: 10x your data engineering game.

article thumbnail

Buy Your Embedded Analytics and Empower Your End-Users With the Right Data

Jet Global

While embedded dashboards create real value, they can also come with real costs. These costs are not always visible when companies plan for their analytics offering but can significantly impact production, scale, and the speed of bringing analytics to market. What Are the Hidden Costs and Challenges?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Transforming IT operations and application modernization with artificial intelligence

IBM Big Data Hub

Economic pressures are driving enterprises to minimize costs as they transition from traditional to more innovative operations. The abundance of data within IT Operations (including tickets, events, logs and metrics) serves as a crucial resource for any organization aiming to cut operational costs.

IT 50
article thumbnail

How to choose the best AI platform

IBM Big Data Hub

These development platforms support collaboration between data science and engineering teams, which decreases costs by reducing redundant efforts and automating routine tasks, such as data duplication or extraction. Will it be implemented on-premises or hosted using a cloud platform?

article thumbnail

CIOs rise to the ESG reporting challenge

CIO Business Intelligence

“Always the gatekeepers of much of the data necessary for ESG reporting, CIOs are finding that companies are even more dependent on them,” says Nancy Mentesana, ESG executive director at Labrador US, a global communications firm focused on corporate disclosure documents.

article thumbnail

Big Data Analytics Is The 21st Century’s Biggest Disruptor In Healthcare

Smart Data Collective

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big Data is Driving Massive Changes in Healthcare. Big data storage.