Data Science Ed: 5 Tips for Undergrads

Data Science Ed: 5 Tips for Undergrads

Demand for data scientists continues to rise as organizations seek new ways to monetize their data. Those who want to be considered for top data science jobs need a solid education behind them, including postgraduate degrees in many cases. Read more…

The Serverless ETL Nextdoor

The Serverless ETL Nextdoor

When Nextdoor set out to rebuild its data ingestion pipeline so it could better handle billions of files per day, it brought in all the usual suspects in the real-time racket: Read more…

Bots Are Learning Their ABCs, But They’ve Got a Ways To Go

Bots Are Learning Their ABCs, But They’ve Got a Ways To Go

You learned your ABCs long ago in elementary school, and honed your reading and writing skills in the ensuing years. Read more…

How to Build a Data-Driven Culture

How to Build a Data-Driven Culture

What drives companies to have a successful data-driven culture? It’s important to understand that it’s not necessarily about the data itself. Read more…

Center Stage

Leveraging Singularity to Unleash the Power of Hybrid HPC Clouds

Today’s HPC centers demand the flexibility of hybrid computing environments.  CFOs and CIOs understand the potential cost benefits of cloud computing and do not wish to be limited by on-premise compute investments.  A challenge administrators face when extending their computing capacity outside of their datacenter is delivering a cloud resource in a way that is easy for users to adopt. They need a straightforward extension of computing power into on-demand cloud services…

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Datanami Headlines

AI Adopters Confront Barriers to ROI

Heavy investors in artificial intelligence are rethinking their strategies, according to a new vendor survey, in an attempt to find ways to make the technology central to their operations.

The survey released last week by data analytics specialist Teradata Corp. Read more…

AWS, Microsoft Partner on Gluon AI Tool

Cloud services rivals Amazon Web Services and Microsoft are collaborating on a deep learning library designed to accelerate development of models used to construct neural networks.

The open source project dubbed “Gluon” would deliver an API that leverages a collection of neural network components to define machine-learning models. Read more…

‘Internet of Drones’ Adds AI

A startup has come up with a scheme for securely connecting drones to the cloud, effectively making them another cloud-based application and, the startup claims, the first “Internet of Drones” platform.

FlytBase Inc., a startup based in Redwood City, Calif., developing interfaces for connecting commercial drones, recently released an AI platform aimed at adding machine learning and other onboard intelligence to cloud-connected drones. Read more…

Mature MADlib Moves Up Apache Development Chain

As the in-database analytics library MADlib makes inroads in emerging cloud-based AI applications, the open source initiative is moving up the development chain as a priority project within the Apache Software Foundation.

Pivotal, which last month released the latest version of its MADlib-based Greeplum analytics platform, said the promotion to a “top level” Read more…

This Data Lake Runs On Graph

When some people hear the words “data lake,” they assume that it must run on Apache Hadoop or maybe Amazon S3. But the folks at Cambridge Semantics are finding traction in certain industries with a data lake solution that runs atop a graph database. Read more…

IBM Object Storage Targets Compliance Data

IBM rolled out on-premises storage options this week targeting the management of regulatory data along with an object storage scaling capability billed as reducing hardware requirements.

The company said the object storage offerings address requirements in regulated industries such as health care for storing growing volumes of compliance data in company datacenters. Read more…

Cloud In, Hadoop Out as Hot Repository for Big Data

If you’re in charge of architecting a big data strategy for your organization, you have a lot of tough decisions to make. One of the easiest, however, may be to use cloud repositories to store and process the biggest sets of data instead of Hadoop — Read more…

Who Controls Our Algorithmic Future?

The accelerating pace of digitization is bringing real, tangible benefits to our society and economy, which we cover daily in the pages on this site. But increased reliance on machine learning algorithms brings its own unique set of risks that threaten to unwind progress and turn people against one another. Read more…

Solving the ‘Last Mile’ Problem in Data Science

There’s a ton of innovation occurring within the realm of data science at the moment thanks to a blossoming of machine learning technologies and techniques. But much of that innovation isn’t getting into production because of an impedance mismatch between data science and IT. Read more…

The Role of Self-Service Data Preparation in Analytics Modernization

It’s no secret that data is playing an increasingly important role in not only today’s business environment but also within our society as a whole. In a May 2017 article, The Economist laid out why data has overtaken oil as the world’s most valuable resource. Read more…

Machine Learning Used to Value Real Estate

Determining the value of commercial real estate, among the largest of asset classes for investors, remains difficult, likely lending itself to the application of new machine-based valuation models that among other things take advantage of “hyper-local” Read more…

Looker’s Audacious Moonshot to Outgrow Oracle

You may have considered Looker to be just another business intelligence tool. After all, that’s the bucket analysts at Forrester and Gartner put the company in. But talk a bit with its founder, Lloyd Tabb, and you quickly realize that BI is just a part of the story. Read more…

AtScale Revs ‘Universal Layer’ to Keep Data ‘Big’

Keeping the “big” in big data is the mission of a four-year-old startup launched by Hadoop and business intelligence veterans with the aim of bridging the gap between users, their favorite tools and underlying Hadoop data platforms that are no longer scaling. Read more…