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Don’t Make These Data Science Mistakes in IoT

Don’t Make These Data Science Mistakes in IoT

Data science is tough enough already. Whether you’re looking to act upon data collected from IoT sensors or human generators, don’t make it harder than it has to be by making these three common data science mistakes. Read more…

At ASF 2019: The Virtuous Circle of Big Data, AI, and HPC

At ASF 2019: The Virtuous Circle of Big Data, AI, and HPC

We’ve entered a new phase in IT — in the world, really — where the combination of big data, artificial intelligence, and high performance computing is pushing the bounds of what’s possible in business and science, in work and play. Read more…

‘Data Scientist’ Title Evolving Into New Thing

‘Data Scientist’ Title Evolving Into New Thing

Who is a data scientist, and what do they do? It’s a worthy question, and one that’s been asked an untold number of times over the years. Read more…

Big Data Career Notes: April 2019 Edition

Big Data Career Notes: April 2019 Edition

In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the big data community. Read more…

Datanami Headlines

Will Neural Nets Replace Science Writers?

“Researchers have developed a new representation process on the rotational unit of RUM, a recurrent memory that can be used to solve a broad spectrum of the neural revolution in natural language processing.”

The sentence above was written by a natural language processing technique known as a rotational unit of memory, or RUM. Read more…

Quobyte Plugs TensorFlow Into Scale-Out File System

Quobyte designed its file system with scalability in mind. It also designed it to handle multiple types of files and workload without burdening human administrators with extra complexity. Both of those characteristics are at play with today’s addition of a TensorFlow plug-in for machine learning workloads on the Quobyte Data Center File System. Read more…

Microsoft Expands Hadoop on Azure

Microsoft has upgraded its open source analytics services running on Azure with a new version of Hadoop incorporating enhancements of Apache Hive and other open source analytics frameworks.

The software giant (NASDAQ: MSFT), which completed its blockbuster acquisition of GitHub last October, continued its push into open source with this week’s release of Hadoop 3.0 on its Azure HDInsight analytics service. Read more…

The Rise of the Data Team

Leaks of confidential customer data, whether the result of malicious hacks or corporate missteps, are a growing threat across industries. In the first half of 2018, there were 945 major data breaches globally that exposed more than 4.5 billion records, a 133% increase from the previous year. Read more…

Is Data Science the Fourth Pillar of the Scientific Method?

Nvidia CEO Jensen Huang revived a decade-old debate last month when he said that modern data science (AI plus HPC) has become the fourth pillar of the scientific method. While some disagree with the notion that statistical analysis alone can reveal undiscovered laws, the argument may be moot if data science continues its current course being an extremely useful and in-demand tool for all manners of scientific discovery. Read more…

Startup Trovares Brings HPC to Graph Analytics

A startup launched by HPC veterans is combining supercomputers and graph analytics to forge a new suite of tools for applications ranging from cyber security to scientific research.

Along with the launch of its xGT graph analytics tool, Seattle-based Trovares announced the close of a Series A funding round. Read more…

EU Ethics Rules Seek to Balance AI Risks, Benefits

European regulators continue to take the lead on a range of critical technology policy issues spanning data privacy and, now, “trustworthy” AI.

On the heels of its sweeping General Data Protection Regulation, considered by at least one observer as “the most significant change in privacy law in decades,” the European Union this week unveiled ethics guidelines for “building trust in human-centric AI.”

First and foremost, the EU framework emphasizes human oversight of AI development: Read more…

From Big Beer to Big Data: Inside AB InBev’s Digital Transformation

With more than 500 beer brands and $55 billion in sales, Anheuser-Busch InBev is already the world’s biggest beer company. And if all goes as planned with its digital transformation project, it will be the best beer company in the world, too. Read more…

Google Cloud Unveils Slew of New Data Management and Analytics Services

Google today unveiled a handful of new cloud services designed to simplify common tasks in the data analytics workflow, including a beta of a new data integration and ETL service called Cloud Data Fusion, the capability to leverage BigQuery from a spreadsheet interface, and the addition of Tensorflow machine learning capabilities to BigQuery ML, among others. Read more…

Rethinking Data for AIOps-Driven IT Operations

The rise of the hybrid enterprise is wreaking havoc on IT teams. IT service/operations management (ITSM/ITOM) is more challenging than ever, as infrastructure continues to become more complex, more involved, and more resource-intensive.

Emerging technologies such as cloud-native architectures, DevOps, and multi-cloud infrastructure are creating as many problems for IT teams as they are creating opportunities. Read more…

ScyllaDB Rolls Cloud Database Service

Databases continue to migrate to the cloud with mix results, often requiring customers to choose between the convenience of cloud services and the countervailing costs associated with scaling and performance metrics like low latency.

NoSQL database vendor ScyllaDB claims to have addressed those issues with a new cloud service running on Amazon Web Services (NASDAQ: Read more…

Google Extends Olive Branch to Open Source Tech

Google Cloud today announced strategic partnerships with seven prominent providers of big data technologies that will bring those vendors’ solutions to the Google Cloud Platform as managed services. The move appears designed to position Google in a more favorable light relative to Amazon, which has taken a more heavy-handed approach with the open source backers. Read more…

Toward ‘Biologically Plausible’ AI

In the latest attempt at understanding the mechanism(s) by which machines learn, and AI researcher and a neuroscientist probed for similarities in the computational properties between deep neural networks and human brain.

They propose a learning algorithm that overcomes a “particularly nonbiological aspect” of deep learning: Read more…


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