Predicting Hurricane Damage with Machine Learning

Predicting Hurricane Damage with Machine Learning

Next week marks the start of a hurricane season that weather experts predict will generate an above-average number of tropical storms. Read more…

Google/ASF Tackle Big Computing Trade-Offs with Apache Beam 2.0

Google/ASF Tackle Big Computing Trade-Offs with Apache Beam 2.0

Trade-offs are a part of life, in personal matters as well as in computers. You typically cannot have something built quickly, built inexpensively, and built well. Read more…

Committers Talk Hadoop 3 at Apache Big Data

Committers Talk Hadoop 3 at Apache Big Data

The upcoming delivery of Apache Hadoop 3 later this year will bring big changes to how customers store and process data on clusters. Read more…

The Motivation for Native Graph Databases

The Motivation for Native Graph Databases

Building a dependable database management system is a difficult task. We must be aware of the design trade-offs in the construction of a database management system and understand how those trade-offs impact end-user problems that we want to help solve. Read more…

Datanami Headlines

Largest Tech Fund Targets AI

A huge private equity fund launched over the weekend by Japan’s Softbank Group and a Saudi sovereign wealth fund targets artificial intelligence and other technologies while giving the new $93 billion fund the option of acquiring a larger stake in processor maker ARM Ltd. Read more…

GE Invests on Data Prepper Tamr

The investment arm of GE, a steady customer of startup Tamr Inc., has made a strategic investment in the data preparation platform vendor and placed a director on its board of directors.

Tamr was spun out from the Massachusetts Institute of Technologies’ Computer Science and Artificial Intelligence Laboratory in 2014. Read more…

‘Cloud TPU’ Bolsters Google’s ‘AI-First’ Strategy

Google fleshed out its artificial intelligence efforts during its annual developers conference this week with the roll out of an initiative called Google.ai that serves as a clearinghouse for machine learning research, tools and applications designed to help automate AI development. Read more…

Data Deals Heat Up

It’s looking more like buyers’ market as the number of data analytics deals grows.

Seeking to break out of the pack of business intelligence and analytical tool vendors, Tibco Software said it would acquire data science platform vendor Statistica. Read more…

How Big Data Can Save Lives at the Hospital

As a trauma nurse at one of the largest hospitals in the country, Charles Boicey saw his share of sickness and injuries, amazing recoveries and unfortunate deaths. But for all the good he and his fellow clinicians were able to do, Boicey was frustrated that he didn’t have the information to do more. Read more…

Massive Autonomous Vehicle Sensor Data: What Does It Mean?

It was reported by Ford that connected car sensors generate 25 gigabytes of data per hour, and then by the WSJ that a typical autonomous vehicle generates 4 terabytes of data in 90 minutes, and then by Intel of 45 terabits per hour.  Read more…

Auto Database Fills Recall Gap

As the massive Takata airbag scandal illustrates, it has become nearly impossible to track down affected consumers who must bring cars to dealerships for repairs. One problem is that government watchdogs do not collect data on the soaring number of auto recalls or how dealerships handle them. Read more…

Neo4j Now ‘Multi-Data Center Aware’

Customers can now scale their Neo4j graph databases horizontally across multiple data centers around the globe, Neo Technology announced today. Neo4j version 3.2 also brings new governance and security capabilities and a focus on performance, among other enhancements. Read more…

Striking a Balance: Big Data Debt and Big Data Value

In technology, the concept of “technical debt” is used to describe the obligation side of a trade-off, usually when something is built “fast” rather than being built “right.”

Just as with personal or corporate debt, a certain amount of technical debt can be very useful. Read more…

Nvidia’s Mammoth Volta GPU Aims High for AI, HPC

At Nvidia’s GPU Technology Conference (GTC17) in San Jose, Calif., yesterday morning, CEO Jensen Huang announced the company’s much-anticipated Volta architecture and flagship high-end GPU, the Tesla V100, noting that it took several thousand engineers several years to create, at an approximate development cost of $3 billion. Read more…

Machine Learning, Deep Learning, and AI: What’s the Difference?

You hear a lot of different terms bandied about these days when it comes to new data processing techniques. One person says they’re using machine learning, while another calls it artificial intelligence. Still others may claim to be doing deep learning, while “cognitive” Read more…

Twitter Ranking Tweets With Machine Learning

Machine learning is entering production at Twitter as a way of ranking tweets and boosting engagement.

Twitter engineers this week unveiled the social media platform’s ranking algorithm driven by deep neural networks. In a blog post, company engineers said their approach leverages an in-house artificial intelligence platform that includes new modeling capabilities. Read more…

Automation of Automation: IBM PowerAI Tools Aim to Ease Deep Learning Data Prep, Shorten Training

A new set of GPU-powered AI software announced by IBM today brings automation to many of the tedious, time consuming and complex aspects of AI project on-ramping while reducing deep learning training times, according to Big Blue, from weeks to hours with a new, distributed version of TensorFlow running on clusters. Read more…