Don’t Be a Big Data Snooper

Don’t Be a Big Data Snooper

One of the biggest challenges that data scientists face is separating true predictors from false ones. When an airtight causal model can’t be created, data scientists often look to a secondary class of models based on correlations to accurately predict outcome. Read more…

How Machine Learning and Push Computing Can Pull Employees In

How Machine Learning and Push Computing Can Pull Employees In

You have a problem: Businesses all over the world are facing a serious issue. Employees are increasingly overworked, disengaged, and bogged down by inefficient processes. Read more…

5 Factors Driving the Graph Database Explosion

5 Factors Driving the Graph Database Explosion

There’s no denying it: Graph databases are hot. According to DB-Engines.com, graph databases have outgrown every other type of database in popularity since 2013, and not by a small margin either. Read more…

The SQL Service at the Heart of Amazon Kinesis Analytics

The SQL Service at the Heart of Amazon Kinesis Analytics

Amazon Web Services gave real-time application developers a boost last week when it unveiled Amazon Kinesis Analytics, a new service for continuously querying streaming data using good old SQL. Read more…

Center Stage

Bridging the Gap between Insight and Action

In recent years, organizations have handled their big data by diving further into transactions to identify trends. However, this approach leaves out a critical mass of potentially impactful information: all the data created in the here and now. Many have turned to in-memory data processing frameworks to alleviate this gap between transactions and analytics.

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Datanami Headlines

Another Self-Service Database Tool Emerges

The democratization of big data continues apace with a new self-service analytics tool that allows non-data scientists to query databases and get answers without formal training in, for example, SQL.

The startup VQL Technologies Inc. Read more…

Search Engines Get a Machine Learning Boost

Online retailer eBay is attempting to extend its machine language capabilities beyond automatic language translation to e-commerce uses designed to make product searches more relevant. As automation improves, the company said one goal eliminating the search box. Read more…

‘Smart Machines’ Top the Hype Cycle, Gartner Says

Every summer, technologists turn to Gartner’s Hype Cycle for Emerging Technologies, which has become a barometer of sorts for gauging the state of various hardware and software innovations that are expected to impact business and society over the next decade. Read more…

HPE Extreme Performance Solutions

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Navigating the Unstructured Retail Data Storm

Retail is a rapidly evolving marketplace where product demand, customer expectations, and shopping behaviors are constantly changing. Successfully predicting the needs of shoppers and anticipating emergent trends requires real-time analysis of vast quantities of retail information. Read more…

More Datanami Headlines

NSF Funds New Cognitive Science Research

As part of its BRAIN initiative, the National Science Foundation announced a second series of grants this week awarded to multidisciplinary teams to further explore cognitive and neural systems, including “data-intensive neuroscience and cognitive science.” Read more…

Adobe Parses Target Audiences to Promote Brands

Parsing the segments of target audiences has become a time sink for retails and other data analysts looking to compare and contrast those segments to glean insights, spot overlaps and pinpoint meaningful differences among audience segments for particular brands. Read more…

Ford Accelerates Driverless Car Effort With Machine Learning

A key component driving the development of driverless cars is machine learning and other artificial intelligence capabilities along with computer vision approaches used for image and signal processing. Ford Motor Co., which is targeting fully autonomous vehicles for ride sharing by 2021, unveiled a series of machine learning and machine vision deals as it doubles the size of it Silicon Valley research campus. Read more…

Finding Hidden Value in IoT Analytics

Sensors on the Internet of Things (IoT) are already generating a ton of data, but turning that data into business value isn’t always easy. In particular, businesses must be creative in how they mine their IoT data, which can yield unexpected gems. Read more…

Life Sciences Cultivate Streaming Analytics

Transatlantic partners are applying machine-learning algorithms to a financial HPC platform to develop predictive models for studying crop growth patterns and agriculture practices. The partners said the models would include variables such as crop response and adaptation to environmental stresses. Read more…

Python Eats Into R as SAS Dominance Fades

A new survey of data science tools shows that Python usage is quickly gaining steam among advance analytic professionals, at the expense of both R and SAS.

Last month the executive recruiting firm Burtch Works published the latest results of an ongoing “flash survey” Read more…

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. Whether it’s a promotion, new company hire, or even an accolade, we’ve got the details. Read more…

The Modernization Dilemma: Breaking the Myths of On-Premise Versus Cloud Storage

Several years into the cloud computing revolution, the general assumption in enterprises is that cloud storage is better storage. It can be easy to implement, eliminates much of the burden on IT departments, and can be more cost-effective. Read more…

Flash Memory Gives Databases a Jolt

Database vendors are looking for new memory technology options as datasets continue to soar. With that in mind, Redis Labs Inc. claimed this week that its database running on flash memory along with Intel Corp.’s NVM Express flash-based SSDs achieved record performance. Read more…

Quantum Researchers Eye AI Advances

Researchers wringing out new quantum computing architectures are increasingly looking at the nascent processing technology as a way to advance machine-learning algorithms for new AI applications.

As quantum computing efforts scale up at corporate, university and government laboratories, the promising yet largely unproven technology could help unlock facets of artificial intelligence, leading to more powerful cognitive computing technologies like IBM’s (NYSE: Read more…