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Cognitive Computing: Definition, Working, Examples and MoreĀ 

Analytics Vidhya

Introduction In 2011, a special robot called Baxter joined factory teams. It stood six feet tall, weighing 300 pounds, with two handy arms and expressive digital eyes. What made Baxter unique was that it could work alongside humans, thanks to cognitive computing. This AI approach copied how humans think and learn.

Analytics 304
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Build a Scalable Data Pipeline with Apache Kafka

Analytics Vidhya

It was made on LinkedIn and shared with the public in 2011. Introduction Apache Kafka is a framework for dealing with many real-time data streams in a way that is spread out.

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A Detailed Guide of Interview Questions on Apache Kafka

Analytics Vidhya

Introduction Apache Kafka is an open-source publish-subscribe messaging application initially developed by LinkedIn in early 2011. It is a famous Scala-coded data processing tool that offers low latency, extensive throughput, and a unified platform to handle the data in real-time.

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Google BigQuery Architecture for Data Engineers

Analytics Vidhya

BigQuery was first launched as a service in 2010, with general availability in November 2011. This article was published as a part of the Data Science Blogathon Introduction Google’s BigQuery is an enterprise-grade cloud-native data warehouse.

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

CIO Business Intelligence

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 103
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Generative AI sparks family business renaissance: PwC report

CIO Business Intelligence

Now, 90% of family businesses are open to private equity investment compared to 18% in 2011. Another aspect of the family businesses, the report mentioned, is that such businesses favor proven technologies more compared to emerging technologies like AI, which restrict them from infusing any new money into businesses.

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Does Data Always Need to End Up in a Centralized Repository?

Data Virtualization

As far back as 2011 Gartner proposed the concept of a logical data warehouse as a way to overcome some of the challenges organizations. Reading Time: 3 minutes This is an age-old question, and one that has been asked many times over the years. The post Does Data Always Need to End Up in a Centralized Repository?