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The HP-Autonomy lawsuit: Timeline of an M&A disaster

CIO Business Intelligence

The 2000s: Spending spree September 2003: Autonomy completes its purchase of video management software vendor Virage and rebuilds the company’s software on its own IDOL (Intelligent Data Operating Layer) unstructured data management platform. June 2010: Autonomy acquires CA Technologies’ information governance business.

Software 106
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Benevolence of Assistive AI in Decreasing Natural Disaster Damage

Smart Data Collective

Among the 115 costly catastrophes since 2010 were so-called “ 1,000-year floods ,” Category 5 hurricanes, and the most massive wildfires in history. These problems put the importance of big data and AI to the test, as we strive to fight the problems they cause. Unfortunately, these severe weather events now occur more frequently.

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6 Spectacular Reasons You Must Master the Data Sciences in 2020

Smart Data Collective

Data Science is a field that extracts useful information from loads of structured and unstructured data using algorithms, statistics, and programming. Its primary focus is to use user-generated data to good use. The concept of data science was first introduced in 2001, but it started gaining popularity in 2010.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

Apache Hadoop Apache Hadoop is a Java-based open-source platform used for storing and processing big data. It is based on a cluster system, allowing it to efficiently process data and run it parallelly. It can process structured and unstructured data from one server to multiple computers and offers cross-platform support to users.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

The platform was acquired by Salesforce in 2010 for over USD $200 million. 2010: Windows Azure is now Microsoft Azure (IaaS) aggressively trying to penetrate into the cloud market with a redefined strategy. The platform was acquired by Salesforce in 2010 for over USD $200 million. You can read more on IaaS, PaaS and SaaS here ].

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Structural Evolutions in Data

O'Reilly on Data

While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” ” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012.