Cloud Computing Growth & Deployment Considerations

The emergence of cloud computing has greatly impacted how companies manage and process big data. Cloud computing has reduced costs and made a variety of applications available to businesses, regardless of size or revenue. As the cloud continues to grow and emerges as a popular option for the development and testing of new analytics applications, […] Read More

The Era of Personalization

Who actually likes going to the doctor? I guess there are always a few exceptions to the rule, but for most people, doctors’ visits are a necessary evil. The human element of medicine is a required one—right now, nuance is still a critical part of diagnosing most conditions; however, changing innovations in the data analytics, […] Read More

Eliminating Self-Service BI Limitations With Machine Learning

According to a recent ZDNet article by Doug Henschen, Machine Learning and Artificial Intelligence will dramatically change business intelligence and analytics in 2018 and into the foreseeable future. Previous trends in BI have revolved around self-service. New ML and AI features will help propel us past the limitations of the self-service Era. Henschen’s premise is […] Read More

FPGAs, the Next Big Machine Learning Chips

An article I read in EnterpriseTech last month—in conjunction with dozens of conversations at SC17 in November—has had me thinking a lot about fast, efficient machine learning capabilities. Many enterprises began to realize the power of machine learning in 2017, especially with hardware vendors like Nvidia capitalizing on the trend by building accelerators that are […] Read More

Power High Performance Analytics in the AWS Cloud with Ryft: Video Webinar from AWS

With the announcement of the general availability of the Amazon EC2 F1 instance, more and more companies are trying to figure out how and why FPGA-accelerated compute will fit into their data analytics ecosystem. To help provide some answers, AWS hosted a webinar last week that took a closer look at the FPGA-accelerated F1 instance, […] Read More

Learn How to Streamline and Extend Elasticsearch with Ryft at Elastic{ON} 2017

We’re looking forward to attending our first Elastic{ON} conference next week! Search based analytics are a critical function for any organization, and Elasticsearch has received wide-scale adoption as one of the most popular open source tools used today. Next week, users and developers alike will converge in San Francisco to learn how to get the […] Read More

The Truth Behind FPGAs & Why Amazon Deployed Them in The Cloud

Video Webinar from AWS

Amazon’s been making waves the past few weeks after announcing that Amazon Web Services’ customers will soon have access to FPGA-based heterogeneous compute power with their new F1 instances. This new offering is a great step forward to putting the power of heterogeneous compute into the hands of everyone, but there are still several questions that […] Read More

Finally, Fast, Simple Data Discovery in the Cloud: Amazon Web Services Debuts FPGA-Based Heterogeneous Compute With Ryft Virtual Analytics

Running complex analytics against massive amounts of all types of data—legacy, streaming, structured, semistructured and unstructured—is a difficult challenge.  At Ryft, we’ve blazed the trail to solve this struggle with FPGA/x86 heterogeneous compute accelerators that eliminate data preparation latency and make data discovery fast and simple. But until now, only companies willing to modernize their […] Read More

Transforming High Performance Analytics: Converged Storage and Compute Powered by FPGAs Unlocks 100X Faster Analytics

In the new era of fast data, we must free analytic performance from the prison of x86 and GPU sequential processors, which are architecturally incapable of scaling to analyze and identify trends and anomalies in massive quantities of data. Don’t get me wrong—these processors have their place, but most CPU and GPU clusters max out […] Read More