2016 Enterprise Unstructured Data 
Cloudera
NOVEMBER 15, 2021
The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). Most of that data will be unstructured, and only about 10% will be stored. And data moves around. of that data is analysed.
CIO Business Intelligence
JUNE 18, 2024
Enterprise resource planning (ERP) is ripe for a major makeover thanks to generative AI, as some experts see the tandem as a perfect pairing that could lead to higher profits at enterprises that combine them. I would say that any process where a decision is made is a potential target for AI,” he says.
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David Menninger's Analyst Perspectives
OCTOBER 31, 2024
It was not until the addition of open table formats— specifically Apache Hudi, Apache Iceberg and Delta Lake—that data lakes truly became capable of supporting multiple business intelligence (BI) projects as well as data science and even operational applications and, in doing so, began to evolve into data lakehouses.
CIO Business Intelligence
JULY 23, 2023
More than 60% of corporate data is unstructured, according to AIIM , and a significant amount of this unstructured data is in the form of non-traditional “records,” like text and social media messages, audio files, video, and images.
CIO Business Intelligence
MARCH 19, 2024
Around the turn of the century, Autonomy Corporation was one of the darlings of the UK technology industry, specializing in knowledge management and enterprise search. Its Agentware internet search tools are used by enterprises including Barclays Bank and Unilever and sold as shrink-wrapped software through retail outlets.
FineReport
NOVEMBER 6, 2019
c: Enterprise Ability Model Spider Diagram. b: Estimated % of adults who think global warming is happening, 2016. By translating abstract indicator data into familiar, easy-to-perceive data, which is easier for users to understand the meaning of the graphics. a: What is Unstructured Data? From Google.
datapine
NOVEMBER 19, 2019
This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience. Thus, deep nets can crunch unstructured data that was previously not available for unsupervised analysis. How it will be used in enterprises , we will yet to see. Quantum Computing.
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