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Features

Is 2016 the Beginning of the End for Big Data?

Jan 5, 2016 |

Part of my job as managing editor of Datanami is to be a hype buster. Over the past five years, the amount of hoopla and hysteria over big data has reached epic proportions at times. That’s why some in the industry are calling for a slowdown in the analytic platitudes, a return to sanity about what big data can really do. Despite my skeptic tendencies, it’s hard not to be optimistic about big data analytics, given its trajectory. If you Read more…

How Big Data Analytics Is Shaking Up the Insurance Business

Jan 5, 2016 |

The insurance industry is–by definition and by practice–generally averse to risk. But thanks to the success of early adopters of data analytics, insurance companies in the $1.1-trillion U.S. market are scrambling to ramp up their own data analytics practices before it’s too late. In his 25 years in the insurance business, Capgemini’s Seth Rachlin has never seen insurance companies move so quickly to change their business models. “Traditionally insurance has been a slow-moving business,” says Rachlin, who is a vice Read more…

Industry Speaks: Top 33 Big Data Predictions for 2016

Dec 15, 2015 |

What will happen in big data in 2016? You’d think that would be a cinch to answer, what with all the deep neural net and prescriptive analytic progress being made these days. But in fact the big data predictions from the industry are all over the map. Datanami received dozens of predictions from prominent players in the industry. Here is a culled collection of the most interesting ones. Oracle sees the rise of a new type of user: the Data Read more…

Beauty Contest Features Algorithmic Judges

Nov 20, 2015 |

It’s often said that beauty is in the eye of the beholder. That concept will be put to the test next year during a unique beauty contest where robots trained by deep neural networks will judge human contestants based on perceived “wrinkliness” and other features. “What would you say if I told you that today’s beauty contests are very biased and limited and we are looking at the wrong features when evaluating other people?” writes Olga Kairova, a deep learning Read more…

Three Unique Ways Machine Learning Is Being Used In the Real World

Nov 18, 2015 |

Machine learning has emerged as the key technology enabling predictive analytic uses cases upon big data. Accompanying that emergence is a set of common use cases, such as fraud detection in credit card processing and product recommendation in retail. But the technology has many more potential use cases in industries that you may not expect. Here are three examples of how actual companies are using machine learning technology upon big data to solve real-world problems in unique and non-intuitive ways. Read more…

News In Brief

IBM Rolls Power-based ‘Data Engine’

Feb 10, 2016 |

A new IBM “data engine” for running key open source analytics frameworks is built on the company’s recently added line of OpenPower Linux servers customized for big data workloads. Technical details of the IBM data engine for Hadoop and Spark were released this week (Feb. 9). The company said the analytics platform would be available on March 18. IBM (NYSE: IBM) said its date engine targets retailers increasingly combining customer-buying patterns with real-time social media feedback along with manufacturers analyzing Read more…

Anaconda Platform Gets Boost From Intel

Feb 8, 2016 |

The latest version of the Anaconda open source analytics platform incorporates Intel Corp.’s math kernel library (MKL) to significantly boost performance. Version 2.5 extends Anaconda capabilities rolled out last fall. Along with the Intel (NASDAQ: INTC) library, Continuum Analytics said the 2.5 version of its Python-based platform also is bundled with Microsoft R Open, a leading enterprise R language distribution. The latter is dubbed the “R-Essentials” package. Anaconda is designed to ease installation and maintenance of open source Python environments. Read more…

Google, Chipmaker Collaborate on Deep Learning For Mobile

Jan 27, 2016 |

Google and Movidius, a specialist in low-power machine vision chips, said this week they would collaborate to bring deep learning technology to mobile devices. Google (NASDAQ: GOOG) said Wednesday (Jan. 27) it would integrate Movidius processors with the San Mateo, Calif., company’s software development tools. The search giant also said it would contribute to the Movidius neural network technology roadmap. The partners said the agreement would allow Google to deploy its neural computation engine on the Movidius low-power platform as Read more…

Melding Human, Machine Computing to Solve Big Problems

Jan 6, 2016 |

Machine learning and intelligence attract a lot of attention in the big data community. Now researchers are looking for ways to combine the emerging technology with human computation skills in areas like “creative abstraction” to tackle some of the planet’s toughest problems. Researchers at the Human Computation Institute and Cornell University stressed in a recent article published in the journal Science that they seek to combine the raw horsepower of high-performance computing with the subtle cognitive skills of humans. The Read more…

New NVIDIA GPU Drives Launch of Facebook’s ‘Big Sur’ Deep Learning Platform

Dec 17, 2015 |

Facebook continues to pour internet-scale money into Deep Learning and AI, announcing its new “Big Sur” computing platform designed to double the speed for training neural networks of twice the size. NVIDIA’s new Tesla M40 GPU, introduced last month, is the chip of choice to power the Big Sur system, which was designed by Facebook AI Research (FAIR) beginning in mid-2014 to support development of more sophisticated models and new classes of advanced applications. The system includes eight Tesla M40s, Read more…

This Just In

Macrogen Deploys Multiple DRAGEN Processors From Edico Genome

Jan 11, 2016 |

SEOUL, South Korea and SAN DIEGO, Calif., Jan. 11 — Macrogen, a global leader in genome sequencing services and Edico Genome today announced Macrogen has chosen multiple DRAGEN Bio-IT Processors to reinforce its big data processing and analysis capacity for large-scale genome analysis and clinical sequencing services. Macrogen has world-class next-generation sequencing (NGS) facilities, which are equipped with Illumina’s HiSeq X Ten, HiSeq 2000, HiSeq 2500, HiSeq 4000 and MiSeq sequencing systems; Thermo Fisher’s Ion PGM and Ion Proton systems; Roche’s Read more…

Anaconda Brings High Performance Python to Innovative GPU Technology

Nov 16, 2015 |

AUSTIN, Tex., Nov. 16 — Continuum Analytics, developer of Anaconda, the leading modern open source analytics platform powered by Python, today announced the availability of Anaconda on AMD’s Accelerated Processing Units (APU), giving Anaconda users a simple way to exploit AMD’s latest technology innovation for the most demanding data science applications with the simplicity of Python. This combined technology is useful for advanced analytic workloads where communication overhead has previously made GPU acceleration challenging. These situations come up often when working Read more…

Ryft Open API Library Extends Lightning-Fast Batch and Streaming Analysis to Existing Big Data Environments 

May 21, 2015 |

ROCKVILLE, MD., May 21 — Ryft announced today the availability of the Ryft Open API Library, expanding the company’s Ryft ONE high-performance data analysis capabilities into existing big data environments. Developers can now invoke or extend the Ryft Open API to add hardware-driven acceleration to applications that demand real-time intelligence from all types of batch and streaming data. Now, Ryft combines the flexibility of an open, future-proof 1U platform with the speed, simplicity, scalability and security of a purpose-built analytics accelerator for 100X faster enterprise decision-making Read more…

NEC Launches New Express5800 Servers for Big Data Utilization

May 7, 2015 |

IRVING, Tex. & TOKYO, Japan, May 7 — NEC Corporation has announced the global release of a new Express5800/A2000 Series of enterprise servers for Windows and Linux operating systems with the latest Intel Xeon Processor E7 v3 Family (up to 18 CPU cores), suitable for mission critical systems and processing Big Data. These new servers enhance memory controller features, memory sparing functions and memory mirroring functions (Address Based Memory Mirroring, which enables efficient use of memory space), making them ideally suited for the growing Read more…

NVIDIA Unveils Tesla K80 Dual-GPU Accelerator Designed for Data Analytics

Nov 17, 2014 |

NEW ORLEANS, La., Nov. 17 — NVIDIA today unveiled a new addition to the NVIDIA Tesla Accelerated Computing Platform: the Tesla K80 dual-GPU accelerator, the world’s highest performance accelerator designed for a wide range of machine learning, data analytics, scientific, and high performance computing (HPC) applications. The Tesla K80 dual-GPU is the new flagship offering of the Tesla Accelerated Computing Platform, the leading platform for accelerating data analytics and scientific computing. It combines the world’s fastest GPU accelerators, the widely used CUDA parallel computing Read more…