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Video: New Survey Looks at What’s Driving Companies to the Cloud

In this video from KubeCon 2018 in Seattle, Abby Kearns from the Cloud Foundry Foundation looks at the results of a recent survey on key factors driving the enterprise to the Cloud. “We’re seeing a virtuous cycle, as comfortability with one technology results in lightning-speed adoption of more advanced technologies. In a decade, we can expect serverless to be as commonplace as PaaS.”

Book Review: The Model Thinker – A new way to look at Data Analysis

In this special guest feature, Carol Wells reviews the new book by Scott E. Page entitled “The Model Thinker.” “A hands-on reference for the working data scientist, “The Model Thinker” challenges us to consider that the historical methods we have used for data analysis are no longer adequate given the complexity of today’s world. The book opens by making the case for a new way of using mathematical models to solve problems, offers a close look at a number of the models, then closes with a pair of demonstrations of the method.”

Fast Machine Learning for Smart Cities: RocketML at Global Tech Jam

In this video from the Global Tech Jam 2018 conference on Smart Cities, Santi Adavani from RocketML describes how the company’s innovative software speeds Machine Learning. “To find the best model for a problem, data scientists try out different algorithms. With RocketML, they don’t have to. It is like a Hyperloop solution to go from point A to point Z. Simplified workflow yields new benefits.”

Big Data Meets HPC – Exploiting HPC Technologies for Accelerating Big Data Processing

DK Panda from Ohio State University gave this talk at the Stanford HPC Conference. “This talk will provide an overview of challenges in accelerating Hadoop, Spark and Memcached on modern HPC clusters. An overview of RDMA-based designs for Hadoop (HDFS, MapReduce, RPC and HBase), Spark, Memcached, Swift, and Kafka using native RDMA support for InfiniBand and RoCE will be presented.”

Analytics Development Life Cycle: Pangea is Panacea

Sai Prakash from HCL America gave this talk at the Stanford HPC Conference. “In this short talk we shall present an analytics workbench perspective (Pangea) that brings entire ADLC under single umbrella thus enabling collaboration, shrinking overall cycle time, easing model deployment efforts and allowing model monitoring. Actionable insights and visualizations are facilitated though service integration interfaces.”

Global Tech Jam Event for Smart Cities returns to Portland in June

The Global Tech Jam conference is coming up June 20-22 in Portland, Oregon. “This symposium will provide a leading venue for the presentation of the highest-quality original research, groundbreaking ideas, and compelling insights on future trends in Smart City Technology and Deployment.”

Take Our HPC & AI Survey and Win an Echo Show Device

“We invite you to take our Survey on the intersection HPC & AI. In return, we’ll send you a free report with the results and enter your name in a drawing to win one of two Echo Show devices with Amazon Alexa technology.”

Five Reasons to Attend a New Kind of Developer Event

In this special guest feature, Ubuntu Evangelist Randall Ross writes that the OpenPOWER Foundation is hosting an all-new type of developer event. “The OpenPOWER Foundation envisioned something completely different. In its quest to redefine the typical developer event the Foundation asked a simple question: What if developers at a developer event actually spent their time developing?”

Dr. Eng Lim Goh on New Trends in Big Data and Deep Learning for Artificial Intelligence

In this video from SC16, Dr. Eng Lim Goh from HPE/SGI discusses new trends in HPC Energy Efficiency and Deep Learning for Artificial Intelligence. “Recently acquired by Hewlett Packard Enterprise, SGI is a trusted leader in technical computing with a focus on helping customers solve their most demanding business and technology challenges.”

FPGAs Speed Machine Learning at SC16 Intel Discovery Zone

In this video from SC16, Intel demonstrates how Altera FPGAs can accelerate Machine Learning applications with greater power efficiency. “The demo was put together using OpenCL design tools and then compiled to FPGA. From an end-user perspective, they tied it together using Intel MKL-DNN with CAFFE on top of that. This week, Intel announced the DLIA Deep Learning Inference Accelerator that brings the whole solution together in a box.”