CIO Business Intelligence

MARCH 19, 2024

It went on an acquisition spree in the early 2000s, driving up its revenue, before being swallowed itself by Hewlett-Packard in 2011, in a deal that valued it at over $10 billion. May 2011: Autonomy sneaks in one last acquisition, of online backup service Iron Mountain Digital, for $380 million. 19, 2011, and Nov.

Software 105

Software Sales Unstructured Data Enterprise 105

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 106

IT Data Architecture Unstructured Data Big Data 106

CIO Business Intelligence

JUNE 23, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 97

IT Data Architecture Unstructured Data Big Data 97

BizAcuity

MAY 10, 2022

2011: IBM enters the cloud market with IBM SmartCloud. Businesses find the need to manage unstructured data efficiently as a major business problem. Data lakes or data lake houses alone cannot solve the efficiency problem. [You can read more on IaaS, PaaS and SaaS here ]. who saw the potential that cloud offered.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Sisense

MAY 4, 2020

According to an Accenture study, 79 percent of enterprise executives say that not embracing Big Data will cause companies to lose competitive position and risk extinction. In order to get any value from it, 95 percent of businesses say they need to manage unstructured data. Organizations must adapt or die.

Big Data 78

Big Data Data-driven Snapshot Unstructured Data 78

Smart Data Collective

MARCH 16, 2020

According to Feldman “the potential of big data in medicine lies in the possibility of combining traditional data with other new forms of data at both the individual and population level”; that is, carrying out the integration of structured and unstructured data.

Deep Learning 78

Deep Learning Unstructured Data Cost-Benefit Big Data 78