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Location Solves Just Part of the Geospatial Challenge

Location Solves Just Part of the Geospatial Challenge

There is no greater difference in how enterprises and consumers use technology than in their use of location data. Read more…

Three Ways Biased Data Can Ruin Your ML Models

Three Ways Biased Data Can Ruin Your ML Models

Machine learning provides a powerful way to automate decision making, but the algorithms don’t always get it right. Read more…

The Pain of Watching AI Become A Pawn in the Geopolitical Fray

The Pain of Watching AI Become A Pawn in the Geopolitical Fray

Artificial intelligence (AI) has been a predominantly transnational phenomenon for most of this decade.

Radical cross-border openness has been a central driver of the AI revolution. Read more…

Big Data Career Notes

Big Data Career Notes

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…

Center Stage

Revving up HPC Workloads with FPGAs

In enterprise data centers, big data just keeps getting even bigger — and that’s a good problem to have. There is a tremendous amount of potential business value in the flood of data flowing from the Internet of Things, social media, customer information systems and other pipelines filled with incoming bits and bytes. The trick is to capture value from all of that data — and that takes ever-faster computing systems.

Read more...

Datanami Headlines

Python Gains Traction Among Data Scientists

Data scientists have a growing range of options when choosing analytical tools, and a new survey of tool preferences reveals a roughly even split in preferences among the three leading programming languages.

In its annual survey of leading analytics tools, executive recruiting firm Burtch Works reported this week that nearly 1,200 data scientists and analysts were evenly divided in their preferences for SAS (34 percent), R and Python (both 33 percent). Read more…

MapD’s GPU-Powered Database Now Available in Google Cloud’s Marketplace

GPU-powered database pioneer MapD Technologies today announced that customers can now get its software through the Google Cloud Launcher, the online marketplace for Google Cloud Platform. The news comes on the heals of a major version 4.0 launch, which adds more geospatial capabilities. Read more…

Transforming ‘Data Swamps’ into Data Lakes

Data lakes and the growing number of analytics tools emerging to access their contents are expanding the universe of business users able to reap insights via what a new survey calls “point-and-click” accessibility.

The vendor survey of more than 500 business users released on Tuesday (July 17) by visual analytics specialist Arcadia Data found that 72 percent use data lakes to gather business intelligence. Read more…

Anaconda Enterprise Now Supports GPU Clusters

Organizations that need to train machine learning models on massive amounts of data may be interested in the latest release of Anaconda Enterprise, which adds support for training on GPU clusters.

Customers running Anaconda Enterprise 5.2 will be able to take their Python- or R-based machine learning models directly from the laptop and deploy them on big GPU clusters without making changes to the code or fiddling about with command lines, says Mathew Lodge, SVP of products and marketing for Anaconda. Read more…

Agile Integration Comes to Microservices

As enterprises shift from the “waterfall” software development model to agile microservices architectures, integrators are offering new frameworks for easing the transition. Among them is WSO2, the open source integration vendor that this week released the latest version of its platform designed to hasten the implementation of microservices used to roll out distributed applications. Read more…

MongoDB Cloud Cases: Three Studies

During the recently MongoDB World conference, Datanami was invited to talk shop with three customers – Braze, Ticketek, and Longbow Advantage – that have implemented the NoSQL database in production cloud environments. Here are their stories: Read more…

Ecosystem Play to Generate $100T by 2028, Accenture Says

Digital disruption can be a scary thing. You either innovate by building a digital platform that leverages big data and emerging tech like AI, blockchain, and the Internet of Things, or you get disrupted by somebody who can. Read more…

How the Machine Learning Catalogs Stack Up

You can’t do anything with data – let alone use it for machine learning – if you don’t know where it is. In the age of big data, this is not a trivial matter. It is also the main driver that’s propelling the rise of machine learning data catalogs, which the analysts at Forrester recently ranked and sorted. Read more…

Tamr Preps for Growth with $18M Round

Tamr today announced that it has raised $18 million in venture capital to help it grow its business, which is focused taking a “machine-driven, human-guided” approach to taming messy data.

The funding round, which was Tamr‘s fourth, brings the five-year-old Cambridge, Massachusetts company’s total funding to $59.4 million, according to Crunchbase. Read more…

Thwart Breaches by Taking an Operational Approach to Cybersecurity Data

Cybersecurity threats are a constant concern for every modern business. Countless examples of breaches make headlines regularly, and they seem to be increasing in number. The 2018 Thales Data Threat Report found that over one-third of global organizations were breached in 2017, a 10% increase than 2016. Read more…

Why Innovation Chains Require a Tech-First Approach

During the heyday of the big data hype bubble, companies would invite criticism by spending large sums on emerging tech, such as Hadoop clusters, graph databases, and streaming analytics, before they had devised solid business plans around them. Read more…

Drone Data Ecosystem Growing Fast, Report Says

The ecosystem that’s emerged around the collection and analysis of data from drones is growing very quickly, according to a new report issued by DroneDeploy, one of the companies operating in the space.

According to DroneDeploy‘s “2018 Commercial Drone Industry Trends” Read more…

Neustar Finds the ‘Last Mile’ for Hadoop Analytics

Like many companies in the marketing analytics business, Neustar uses Hadoop to store and process large amounts of highly granular data on behalf of its clients. In fact, the company has used Hadoop for over a decade, a success story in its own right. Read more…


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