Datanami
EnterpriseAI
HPCwire Japan
QCwire
HPC & AI Wall Street
Yottamine Serves Up Predictive Analytics On-Demand
February 15, 2013
Startup Yottamine Analytics is riding the twin waves of cloud and big data. Its cloud-based predictive modeling solution combines the benefits of EC2 spin-up automation and large-scale program parallelism to provide predictive power by the hour for pennies a minute. Read more…
A Crystal Ball for Enterprise May Exist in the Cloud
June 19, 2012
A growing trend in enterprise environments is the ability to deploy predictive analytics. Cloud services match up well with the requirements of these applications. Read more…
A Global Mood Ring for Financial Markets
May 11, 2011
Research out of Indiana University is seeking to make sense of global social network data in near real-time to arrive at a sense of universal mood. Johan Bollen and his team have a way to mine the tweets of the world to mesh data into an overall sense of emotion--a concept that is finding an eager audience among financial services players. Read more…
The Opportunity for Predictive Analytics in Finance
April 21, 2011
It is often said that managing enterprise risk and micro risk is about finding the needle in the haystack. Predictive analytics uses powerful computers with large memory and storage to eliminate 90 percent of the hay, those "easy" decisions that a computer can handle effortlessly. The modeling systems then score the remaining 10 percent, prioritizing the activities of the human analysts and investigators to do what they do best, which is to make the optimal decision. Read more…
Ford Motor Company Turns to Cloud-Based Prediction Market Software
February 22, 2011
Ford Motor Company and a number of other mega-enterprises are turning to cloud based solutions for prediction market software, which uses heavy-duty predictive analytics to determine outcomes on markets, stocks, and products. Read more…
Startup Aims to Transform Computing with Probability Processing
August 16, 2010
MIT spin-out Lyric Semiconductor Inc. has launched a new breed of integrated circuits that replaces the binary logic of traditional computing with probabilistic logic. The aim is to deliver a much more efficient architecture for applications based on probability computing. For these types of workloads, the company is promising orders-of-magnitude improvement in energy efficiency, performance and cost. Read more…
Revolution Analytics Lifts R Language into Terascale Computing
August 4, 2010
R language booster Revolution Analytics is going after the predictive analytics crowd with its latest Revolution R Enterprise software platform. The company announced this week it will be introducing a package called RevoScaleR to bring the R language into the world of "Big Data," enabling analytics applications to turbo-charge their performance and scale terabyte-sized mountains of data. Read more…
IBM Workload Optimized: Here Comes the Hype Wave
April 15, 2010
Big Blue pushes forward on predictive analytics offerings. Read more…
- Click Here for More Headlines
Leading Solution Providers
Whitepaper
Transforming Industrial and Automotive Manufacturing
In this era, expansion in digital infrastructure capacity is inevitable. Parallel to this, climate change consciousness is also rising, making sustainability a mandatory part of the organization’s functioning. As computing workloads such as AI and HPC continue to surge, so does the energy consumption, posing environmental woes. IT departments within organizations have a crucial role in combating this challenge. They can significantly drive sustainable practices by influencing newer technologies and process adoption that aid in mitigating the effects of climate change.
While buying more sustainable IT solutions is an option, partnering with IT solutions providers, such and Lenovo and Intel, who are committed to sustainability and aiding customers in executing sustainability strategies is likely to be more impactful.
Learn how Lenovo and Intel, through their partnership, are strongly positioned to address this need with their innovations driving energy efficiency and environmental stewardship.
Download Now
Sponsored by Lenovo
Whitepaper
How Direct Liquid Cooling Improves Data Center Energy Efficiency
Data centers are experiencing increasing power consumption, space constraints and cooling demands due to the unprecedented computing power required by today’s chips and servers. HVAC cooling systems consume approximately 40% of a data center’s electricity. These systems traditionally use air conditioning, air handling and fans to cool the data center facility and IT equipment, ultimately resulting in high energy consumption and high carbon emissions. Data centers are moving to direct liquid cooled (DLC) systems to improve cooling efficiency thus lowering their PUE, operating expenses (OPEX) and carbon footprint.
This paper describes how CoolIT Systems (CoolIT) meets the need for improved energy efficiency in data centers and includes case studies that show how CoolIT’s DLC solutions improve energy efficiency, increase rack density, lower OPEX, and enable sustainability programs. CoolIT is the global market and innovation leader in scalable DLC solutions for the world’s most demanding computing environments. CoolIT’s end-to-end solutions meet the rising demand in cooling and the rising demand for energy efficiency.
Download Now
Sponsored by CoolIT
Advanced Scale Career Development & Workforce Enhancement Center
Featured Advanced Scale Jobs:
HPCwire Resource Library
HPCwire Product Showcase
© 2024 HPCwire. All Rights Reserved. A Tabor Communications Publication
HPCwire is a registered trademark of Tabor Communications, Inc. Use of this site is governed by our Terms of Use and Privacy Policy.
Reproduction in whole or in part in any form or medium without express written permission of Tabor Communications, Inc. is prohibited.