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12 Jobs That Are Booming in the Age of Big Data

Smart Data Collective

Did you know that big data consumption increased 5,000% between 2010 and 2020 ? Big data technology is changing countless aspects of our lives. A growing number of careers are predicated on the use of data analytics, AI and similar technologies. This should come as no surprise. Genetic Engineer.

Big Data 127
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How artificial intelligence went from science fiction to science itself?

Dataconomy

Nonetheless, starting from around 2010, there has been a renewed surge of interest in the field. This can be attributed primarily to remarkable advancements in computer processing power and the availability of vast amounts of data. Big data encompasses data from various sources such as social media, sensors, transactions, and more.

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Top 9 AI conferences and events in USA – 2023

Data Science Dojo

A Glimpse into the future : Want to be like a scientist who predicted the rise of machine learning back in 2010? These events often showcase how AI is being practically applied across diverse sectors – from enhancing healthcare diagnostics to optimizing financial algorithms and beyond. Want to build a career in Generative AI?

AI 243
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6 Spectacular Reasons You Must Master the Data Sciences in 2020

Smart Data Collective

The global demand for big data is surging. Is the Booming Big Data Field Right for You? Everyone has heard about Data Science in 2020. Data Science is a field that extracts useful information from loads of structured and unstructured data using algorithms, statistics, and programming.

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Video auto-dubbing using Amazon Translate, Amazon Bedrock, and Amazon Polly

AWS Machine Learning Blog

In our pipeline, we used Amazon Bedrock to develop a sentence shortening algorithm for automatic time scaling. Here’s the shortened sentence using the sentence shortening algorithm. Yaoqi Zhang is a Senior Big Data Engineer at Mission Cloud. Adrian Martin is a Big Data/Machine Learning Lead Engineer at Mission Cloud.

AWS 113
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Structural Evolutions in Data

O'Reilly Media

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Hadoop 102
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Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas

AWS Machine Learning Blog

By harnessing the transformative potential of MongoDB’s native time series data capabilities and integrating it with the power of Amazon SageMaker Canvas , organizations can overcome these challenges and unlock new levels of agility. As a Data Engineer he was involved in applying AI/ML to fraud detection and office automation.