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. As such, most large financial organizations have moved their data to a data lake or a data warehouse to understand and manage financial risk in one place.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

CIO Business Intelligence

FEBRUARY 22, 2024

Amy Cravens, research manager for GRC and ESG at analyst firm IDC, anticipates significant market growth in 2024 and 2025 “as companies prepare for regulatory requirements and perhaps suffer ramifications of compliance failures resulting from insufficient tech enablement.”

Software 93

Software Reporting KPI Enterprise 93

CIO Business Intelligence

MAY 24, 2022

However, more than 99 percent of respondents said they would migrate data to the cloud over the next two years. The Internet of Things (IoT) is a huge contributor of data to this growing volume, iotaComm estimates there are 35 billion IoT devices worldwide and that in 2025 all IoT devices combined will generate 79.4

Data-driven 94

Data-driven Data Lake Data Warehouse Cost-Benefit 94

Cloudera

SEPTEMBER 12, 2022

It sounds straightforward: you just need data and the means to analyze it. The data is there, in spades. Data volumes have been growing for years and are predicted to reach 175 ZB by 2025. First, organizations have a tough time getting their arms around their data. Yes and no.

Unstructured Data 72

Unstructured Data Data Architecture Data Lake Snapshot 72

CIO Business Intelligence

MARCH 22, 2022

Data about customers, supply chains, the economy, market trends, and competitors must be aggregated and cross-correlated from myriad sources. . But the sheer volume of the world’s data is expected to nearly triple between 2020 and 2025 to a whopping 180 zettabytes. Set up unified data governance rules and processes.

Analytics 111

Analytics Key Performance Indicator Data Warehouse Data-driven 111

IBM Big Data Hub

OCTOBER 12, 2023

AI-optimized data stores enable cost-effective AI workload scalability AI models rely on secure access to trustworthy data, but organizations seeking to deploy and scale these models face an increasingly large and complicated data landscape.

Cost-Benefit 79

Cost-Benefit Metadata Data Governance Modeling 79