Author Archives: kailemkes

How Artificial Intelligence Will Change Decision-Making For Businesses

From The Terminator to Blade Runner, pop culture has always leaned towards a chilling depiction of artificial intelligence (AI) and our future with AI at the helm. Recent headlines about Facebook panicking because their AI bots developed a language of their own have us hitting the alarm button once again.

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Medical AI startup Aidence raises 2.25 million euro seed capital

Aidence, an Amsterdam-based start-up applying Artificial Intelligence to the interpretation of medical images, today announced its raise of €2.25M in seed funding from notable investors Northzone, HenQ, Health Innovations, and the medical specialists of the Haaglanden hospital group. The investment will be used to strengthen its sales and technical teams and expand international reach.

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Data Scientists vs. Data Engineers and Data Analysts

Data engineers, data analysts, and data scientists are all valuable additions to businesses of all size and scope. But they each have a different job to do.

Data scientists, data engineers, and data analysts all have one prominent task in common: They apply analysis to data. Granted, there are additional overlapping components to each job description,

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Big Data Set To Get Much Bigger By 2021

According to the latest market study released by Technavio, the global big data services market is expected to grow at a CAGR of more than 24 per cent by 2021.

The market research analysis categorises the global big data services market into four major end-user segments, of which,

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What Does a Data Scientist Really Do?

Hadoop? R? Machine learning algorithms? A data scientist must know a lot more than programming and platforms.

All too often the emphasis is placed on the word “data” within the title “data scientist.”

While there is robust reason for this – after all data is the currency of the data scientist – it’s more accurate to emphasize the word “scientist.” If you run a Google search “what does a data scientist do?”,

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The Apache Software Foundation Announces Apache® Beam™ v2.0.0

The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today the availability of Apache® Beam™ v2.0.0, the first stable release of the unified programming model for both batch and streaming Big Data processing.

An Apache Top-Level Project (TLP) since December 2016,

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MongoDB Expands Database As A Service to 14 AWS Regions

MongoDB announced an expansion of its Atlas cloud-hosted DBaaS offering to 14 regions on the Amazon Web Services Inc. (AWS) platform, adding nine regions to the five regions previously available.

“The new AWS regional capabilities allow customers to deploy their cloud databases locally for better performance, reduced costs and improved regulatory compliance,”

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Hadoop databases expose 5 Petabytes of data to the Internet

Unsecured Hadoop databases are exposing a massive 5 petabytes (PB) of data to the Internet, putting it at risk from ransom attacks, according to a researcher.

The findings follow a spate of ransom attacks that began in January, when hackers discovered they could steal exposed data and demand payment for its return.

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Elasticsearch stack wises up with machine learning

Elastic, the commercial company supporting the Elasticsearch stack for searches of real-time data, has added machine learning functionality to all the pieces of the Elastic stack.

Unlike some other companies, Elastic is not claiming this addition is cure-all magic dust, rather, it is for performing specific analysis for explicitly defined use cases.

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Apple announces new machine learning API to make mobile AI faster

Like the rest of the tech world, Apple wants to make AI on your mobile device as fast and powerful as possible. That’s why the company unveiled a new machine learning framework API for developers today named Core ML.

 The key benefit of Core ML will be speeding up how quickly AI tasks execute on the iPhone, read more