Why Analytics Are Now Assumed to Run in the Cloud

Why Analytics Are Now Assumed to Run in the Cloud

Not long ago, companies considered big data analytics such a strategic advantage that they wouldn’t dream of letting it outside their firewall. Read more…

Code Modernization Enables New Economics in the Data Center

Code Modernization Enables New Economics in the Data Center

Through a collaboration with Intel to modernize code and take advantage of machine learning algorithms, Pikazo was able to drop the cost of their service to create high-resolution “artistic” images – suitable for framing or content creation – from $14 per image to $0.99. Read more…

Journey Analytics: A Killer App for Big Data?

Journey Analytics: A Killer App for Big Data?

So you’ve got lots of data about your customers. Now what? One potentially impactful application emerging for big data is customer journey analytics, or just “journey analytics,” Read more…

How AI Will Spoof You and Steal Your Identify

How AI Will Spoof You and Steal Your Identify

People generally appreciate how the new wave of artificial intelligence-powered chatbots from Web giants can perform basic online tasks on our behalf. Read more…

Datanami Headlines

Startup Looks to Move Machine Intelligence to Net Edge

As industrial applications continue to push technology investments ranging from networking to data analytics, a data science startup behind a “mesh intelligence” platform designed to close the “machine-to-human” gap said it has closed an early funding round. Read more…

This Week in Graph and Entity Analytics

Yahoo, Cambridge Semantics, and Ravel Law are among the companies making news this week in the burgeoning field of graph and entity analytics.

Wouldn’t it be nice to automatically extract meaningful information from text, such as what it’s about and identifying the major entities (people, places, things) without explicitly training a program to do so? Read more…

Artistic Algorithms, Deep Learning Shift to Cloud

Application builder Algorithmia has expanded its marketplace to include a cloud-based platform for creating deep learning environments for training style transfer models, a type of filter that can for example convert images to match a particular artist’s work. Read more…

Big Data Financial Update (Dec. 2016)

In our latest recurring feature, we’ll provide you with financial highlights from companies in the Big Data industry. Check back in regularly for an updated list with the most pertinent fiscal information. Read more…

AWS Reaches Out to the Edge in Vegas

Amazon Web Services scaled up its edge computing initiative with a series of new services unveiled at the AWS re:Invent conference in Las Vegas this week, including a new AWS Greengrass framework for off-network processing of IoT data, and an extension of the AWS Lambda service for edge computing. Read more…

Exabytes Hit the Road with AWS Snowmobile

Big data, meet your big rig. Amazon Web Services took containerization technology to new levels yesterday when it unveiled plans to use 45-foot trailers equipped with scads of disk and fast fiber optic connections to help customers upload 100 petabytes of data into the cloud. Read more…

Amazon Adds AI, SQL to Analytics Arsenal

By any measure, Amazon Web Services is already a monster in the field of analytics via pre-built Hadoop, Redshift, Kinesis, and deep learning services. With today’s unveiling of its new Amazon AI offering and a new ad-hoc query mechanism for data stored in S3 called Athena, the company is extending its considerable lead. Read more…

Attention Shoppers: You’re Being Analyzed

Commerce Signals, developer of a bridge platform designed to connect advertisers and publishers with data from financial institutions, announced a partnership this week that combines transaction with location data so retailers can understand customers’ “purchase journey.” Read more…

Multi-Cloud Strategy Begets Data Connector

As more enterprises adopt so-called multi-cloud strategies, data management specialists are offering platforms that allow users to access data across different public clouds and web services. Cloud platform vendor Treasure Data has sought to expand that concept to include a data workflow manager designed to transfer and analyze data across major public clouds. Read more…

Birst Dishes Up Data Prep, ML Automation, and More

Groups of data scientists and regular users will be able to collaboratively prepare and share their data for analysis with the latest release of Birst’s analytics platform. Version 6 of the company’s suite also adds more automated smarts through tactical applications of machine learning, and extends the company’s advancements in lineage tracking. Read more…

Should Your Analytics Be ‘Real-Time’?

It’s widely acknowledged that the quicker an organization can collect, analyze and act on data the more of an advantage they will have in the marketplace. In fact, many organizations believe that the data they’re collecting must even be “real-time”—which is to say accurate up to the very second. Read more…

Data Platform Seeks to Cut Soaring Rx Drug Costs

A cloud-based data management platform designed to straighten out what critics say is the mess that is the current approach to managing drug benefits got a boost when ex-Apple CEO John Sculley joined the cause. Read more…

Elastic Stack Searches for Bigger Data Problems

Elastic is best known as the commercial vendor behind Elasticsearch, the open source search engine that’s widely used around the world. But with this month’s release of Elastic Stack V5, the company is staking a claim with a wider range of big data processing capabilities, including graph analytics and visualization. Read more…