CIO Business Intelligence

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Data Integration 93

Data Integration IoT Cost-Benefit Data Quality 93

CIO Business Intelligence

APRIL 28, 2022

Even so, the sheer growth of data being consumed globally— 79 zettabytes in 2021 and expected to grow to 180 zettabytes by 2025 —suggests that traditional solutions employed by financial services will struggle to scale at the same rate.

Analytics 97

Analytics Insurance Big Data Uncertainty 97

CIO Business Intelligence

JUNE 13, 2022

According to IDC , worldwide spending on AI will likely top $204 billion by 2025. In some parts of the world, companies are required to host conversational AI applications and store the related data on self-managed servers rather than subscribing to a cloud-based service. Just starting out with analytics?

Data Processing 102

Data Processing Deep Learning Insurance Cost-Benefit 102

Smart Data Collective

SEPTEMBER 25, 2019

Whether you work remotely all the time or just occasionally, data encryption helps you stop information from falling into the wrong hands. It Supports Data Integrity. Something else to keep in mind about encryption technology for data protection is that it helps increase the integrity of the information alone.

Technology 84

Technology Statistics Strategy Insurance 84

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #6: Data Quality and Governance The size and complexity of data sources and datasets is making traditional data dictionaries and Entity Relationship Diagrams (ERD) inadequate.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

IBM Big Data Hub

MAY 15, 2024

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. Unified, governed data can also be put to use for various analytical, operational and decision-making purposes. There are several styles of data integration.

Cost-Benefit 68

Cost-Benefit Data Integration Data Architecture Manufacturing 68

erwin

FEBRUARY 6, 2020

Searching for data was the biggest time-sinking culprit followed by managing, analyzing and preparing data. Protecting data came in last place. In 2018, IDC predicted that the collective sum of the world’s data would grow from 33 zettabytes (ZB) to 175 ZB by 2025. That’s a lot of data to manage!

Management 144

Management Data Governance Cost-Benefit Metadata 144