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Written by Scott Koegler

The Role of Big Data in Machine Learning and Artificial Intelligence
In recent years, the use of big data in machine learning and artificial intelligence (AI) has become increasingly popular. Big data refers to the vast amounts of data collected from various sources such as social media, the internet of things, and sensors. This data can be used to create powerful models that can predict outcomes and make decisions. AI is… Read more...
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Written by Danielle Loughnane

How One Nonprofit is Bridging the Gender Gap in the Data Industry
According to Kaggle, an online community for data scientists and… Read more...

Written by Danielle Loughnane

Why Machine Learning Failed at Predicting the Academy Awards
Can predictive analytics be used to forecast which movie will… Read more...
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The Role of Big Data in Machine Learning and Artificial Intelligence

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Assemble an Effective Cross-functional Data Team

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Analytics
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Written by Scott Koegler

Big Data and IoT
As our world becomes more interconnected, the amount of data being generated and collected has grown exponentially. The Internet of Things (IoT) is one area where this trend is particularly obvious. IoT devices are everywhere - from smart homes to self-driving cars - and they are constantly gathering and transmitting data. But what happens to all of this data? That's… Read more...
Popular Article

Written by Danielle Loughnane

Careers in Analytics: How to Succeed as a Growth Manager
According to the Harvard Business Review, every company needs a Growth Manager. A growth manager’s… Read more...

Written by Danielle Loughnane

Starting Out in Data Science
Not everyone needs to be a data scientist, but every company should utilize data to… Read more...
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Big Data and IoT

Big Data Can Help Understand Behavior

Creating Systems for Real-Time Processing and Analysis of Streaming Data

Creating Systems for Real-Time Processing and Analysis of Streaming Data

Using Machine Learning Algorithms to Make Predictions and Automate Decisions

Cleaning and Preprocessing Data to Prepare it for Analysis

Online Black Friday Spend Swells to a Record Breaking $9 bln
Providers
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Written by Scott Koegler

What Happens to Big Data Projects
Big data is fast gaining momentum, and so are the big data projects. Companies are increasing in size and ambition. However, the rising number of big data projects does not mean that they all succeed. Gartner estimates that the number of big data projects that fail is about 60 percent in 2016. In 2017, Gartner revised the number of big… Read more...
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Written by Scott Koegler

What Happens to Big Data Projects
Big data is fast gaining momentum, and so are the big data projects. Companies are… Read more...

Written by Scott Koegler

Big Data as a Service is Gaining Value
According to reports, the global big data as a service (BDaaS) industry is expected to… Read more...
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What Happens to Big Data Projects

Big Data as a Service is Gaining Value

Big Data is making a Difference in Hospitals
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Written by Scott Koegler

Big Data, AI and IoT: How are they related?
Ever since the invention of computers many developments have shaped… Read more...

Written by Scott Koegler

What Is Big Data Analytics And Why Do Companies Use It?
The concept of big data has been around for a… Read more...
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Big Data, AI and IoT: How are they related?

What Is Big Data Analytics And Why Do Companies Use It?
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The Importance of Data Engineers

Monday, Mar 06 2023

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Written by News

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Danial Igdery

The Importance of Data Engineers

Danial Igdery

According to Analytics Insight, data engineers are the ones responsible for maintaining the systems that process big data.

Data engineers are critical in managing and processing large amounts of data. They are in charge of designing, constructing, and maintaining the infrastructure and tools required to effectively manage and process large amounts of data.

Read the Article Analytics Insight

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