Big Data/Business Intelligence

Big Data/Business Intelligence news, trend analysis and opinion

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Big data's big role in humanitarian aid

Mission-based organizations, including those helping the recent wave of Syrian refugees, are using big data to improve their response efforts.

Anodot uses real-time analytics and anomaly detection to provide business insight  

The world of big data has outgrown the static capabilities of traditional business intelligence. Anodot's system can scale to millions of metrics and data points to provide real-time business insight.

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IBM doubles down on data with four new cloud tools

Data is what makes today's business world go 'round, and IBM on Thursday launched a suite of new tools designed to help companies make the most of what they've got.

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Big data projects on the rise (but data use could be better)

Companies putting big data initiatives in place report positive results, but most also say their business could improve by making better use of that data.

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This online tool can show you how much Trump dominates election coverage

OpenText's Election Tracker '16 is an interactive online tool that lets anyone view findings about about U.S. presidential election coverage.

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Study: Untamed analytics will take your business on a wild ride

The potential business benefits of data analytics are great, but the predictive models can also “go awry” and produce unintended consequences if underlying assumptions are faulty or outdated. Companies need a governance strategy to...

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5 reasons you need to hire a Chief Privacy Officer

Businesses are increasingly relying on data, but they're overlooking another key aspect of data: privacy. In order to keep up with the growing regulations surrounding data privacy, it may be time to hire a Chief Privacy Officer.

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8 ways IBM Watson Analytics is transforming business

IBM Watson Analytics is a cloud-based data discovery service intended to provide the benefits of advanced analytics without the complexity. Here are eight organizations using Watson Analytics to transform their operations.

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Machine-learning, social media data help spot flooded areas

A new machine-learning algorithm, combined with social media and remote sensing, has successfully identified flooded areas without using satellites alone.

13 frameworks for mastering machine learning

13 frameworks for mastering machine learning

Venturing into machine learning? These tools do the heavy lifting for you

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When big data gets too big, this machine-learning algorithm may be the answer

Big data may hold a world of untapped potential, but what happens when your data set is bigger than your processing power can handle? A new algorithm that taps quantum computing may be able to help.

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Hiring a data scientists? You're doing it all wrong

Businesses and technology leaders have learned a lot about the importance of data and the need for data scientists, but do they understand what the role of a data scientist should entail?

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TD Ameritrade’s big data push 1 yr. later: Benefits coming from all corners

Data quality is improving, personalization capabilities are emerging, and the pace of innovation is on the rise

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How to determine if big data security analytics will produce useful outcomes

Five “sniff tests” to determine whether proposed big data security techniques really measure up

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6 analytics trends that will shape business in 2016

Deloitte identifies six major trends and market disruptions that will drive C-suite technology investments in 2016.

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Why open source is the 'new normal' for big data

It's no secret that Hadoop and Apache Spark are two of the hottest technologies in big data today, but what's less commonly remarked upon is the fact that they're both open-source software.

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Hottest Enterprise Networking & IT Startups of 2016

Running timeline of mainly enterprise networking and computing startups that have received funding in 2016

Hadoop

The top 5 Hadoop distributions, according to Forrester

In a new report Forrester Research’s big data analysts say that adopting Hadoop is “mandatory” for any organization that wishes to do advanced analytics and get actionable insights on their data. But which vendor is best to use?

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