Big Data/Business Intelligence

Big Data/Business Intelligence news, trend analysis and opinion

big data risks
employees technology planning data [Computerworld, January-February 2017 - HR IT]

Intel Security General Manager Chris Young

RSA: Watch out for a new weapon - your own data

As tens of thousands of the world’s top security pros gather at RSA Conference 2017 they are being called upon to watch out for a new threat: their own data.

spark summit

What’s next for open-source Spark?

A crowd of more than 1,500 gathered Wednesday in Boston to hear about the future for the open-source big data engine.

TRC

In the Labs: Connected vehicles in Ohio, artificial intelligence with UMass, Nortthwestern

A whirlwind wrap-up of tech lab activity, from connected vehicles in Ohio to GPU clusters in Massachusetts

Computerworld, January-February 2017 - Does your data discriminate?

How to root out bias in your data

Analytics is a top priority for savvy CIOs. But if implicit biases are hiding under the surface of your most trusted data sets, your algorithms could be leading you to make bad decisions. 

2016 digital transformation

Why managing trust is critical for digital transformation

Businesses planning on staying ahead in digital transformation find traditional methods used to establish trust in the physical world fall short in the digital world.

What is deep learning really?

What deep learning really means

GPUs in the cloud put the predictive power of deep neural networks within reach of every developer

HP Hewlett Packard Enterprise new signs

HPE acquires security startup Niara to boost its ClearPass portfolio

Hewlett Packard Enterprise has acquired Niara, a startup that uses machine learning and big data analytics on enterprise packet streams and log streams to detect and protect customers from advanced cyberattacks that have penetrated...

application segmentation

Cisco amps-up Tetration platform with better security, reduced footprint, AWS cloud option

Cisco has rolled out a second release of its Tetration Analytics package with features such as a smaller footprint and a cloud service that will go a long way toward making the system alluring to more data center customers.

frames for sale

Review: The best frameworks for machine learning and deep learning

TensorFlow, Spark MLlib, Scikit-learn, MXNet, Microsoft Cognitive Toolkit, and Caffe do the math

stats big data stocks analytics

Pharmaceutical giant partners to push analytics

Merck KGaA is banking on partnerships with Silicon Valley analytics companies as it automates a supply chain challenged by spikes in demand.

20160224 stock mwc sap booth sign 100647700 orig

Cloud services accounted for half of revenue growth at SAP in 2016

SAP's revenue from cloud subscriptions and support grew so quickly in 2016, the company has raised its forecasts for 2017 and 2020.

tips for hiring data scientists

Best & most promising tech jobs of 2017 revealed

Data scientists continue to be in huge demand, and you won't fare badly either if you have expertise as a technical program manager, data engineer or DevOps engineer, according to the latest rankings from a couple of big jobs-related...

RISELab

Open-source oriented RISELab emerges at UC Berkeley to make apps smarter & more secure

UC Berkeley on Monday launched a five-year research collaborative dubbed RISELab that will focus on enabling apps and machines that can interact with the environment around them securely and in real-time.

artificial intelligence public domain

Want to be a software developer? Time to learn AI and data science

Data science skills will become more important for coding as software is 'trained' via AI

swamp data

If your data lake turned into a data swamp, it might be time to take the next step

A conversation with Deloitte’s analytic practice leader about common analytic problems and new solutions

Big Data analytics machine learning

Review: Scikit-learn shines for simpler machine learning

Well-tended Python framework offers wide selection of robust algorithms, but no deep learning

dashboard analytics stats monitoring

3 security analytics approaches that don’t work (but could) — Part 1

Bayesian networks, machine learning and rules-based systems individually don't work well. They don’t produce good results, don’t scale or are too hard to work with.

digitization concept

API adoption: Traditional industries lag

Businesses need to digitize and adopt APIs to connect systems and be more customer-facing, but the energy, logistics, packaging and banking sectors have a lot of catching up to do.

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