https://insideainews.com/author/kevin/ Illuminating AI's Frontiers: Your Go-To News Destination. Tue, 25 Jun 2024 21:07:31 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.1 https://insideainews.com/wp-content/uploads/2024/06/iain-favicon.png https://insideainews.com/author/kevin/ 32 32 136462205 https://insideainews.com/2019/04/16/prepare-for-production-ai-with-the-hpe-ai-data-node/ https://insideainews.com/2019/04/16/prepare-for-production-ai-with-the-hpe-ai-data-node/#respond Tue, 16 Apr 2019 21:37:04 +0000 https://insidebigdata.com/?p=22491 https://insideainews.com/2019/04/16/prepare-for-production-ai-with-the-hpe-ai-data-node/feed/ 0 22491 https://insideainews.com/2016/05/06/iot-and-machine-learning-experts-gather-in-boston/ https://insideainews.com/2016/05/06/iot-and-machine-learning-experts-gather-in-boston/#respond Fri, 06 May 2016 11:11:29 +0000 http://insidebigdata.com/?p=14978 RE•WORK will host it’s annual East Coast events on Deep Learning and the Internet of Things in Boston on 12 & 13 May. Over 300 machine learning and IoT enthusiasts and experts will come together to hear keynote presentations, panel discussions, fireside chats and to explore the startup showcase area.]]> https://insideainews.com/2016/05/06/iot-and-machine-learning-experts-gather-in-boston/feed/ 0 14978 https://insideainews.com/2016/03/21/dive-into-deep-learning-revolution-at-the-gpu-technology-conference/ https://insideainews.com/2016/03/21/dive-into-deep-learning-revolution-at-the-gpu-technology-conference/#respond Mon, 21 Mar 2016 20:38:04 +0000 http://insidebigdata.com/?p=14687 https://insideainews.com/2016/03/21/dive-into-deep-learning-revolution-at-the-gpu-technology-conference/feed/ 0 14687 https://insideainews.com/2015/11/17/big-data-reliability-with-lustre/ https://insideainews.com/2015/11/17/big-data-reliability-with-lustre/#respond Tue, 17 Nov 2015 20:16:47 +0000 http://insidebigdata.com/?p=14053 Data is money for businesses—now more than ever. With Big Data analytics that means big money, and companies don’t want to risk losing their data and the value it represents. Lustre has proven its performance over the years. And, lately, companies are engaging Lustre on their HPC clusters for Big Data analytics. But, can Lustre maintain and keep a company’s data available? Does Lustre’s latest release have what it takes to take care of enterprise Big Data?]]> https://insideainews.com/2015/11/17/big-data-reliability-with-lustre/feed/ 0 14053 https://insideainews.com/2014/11/13/bridging-mapreduce-skills-gap/ https://insideainews.com/2014/11/13/bridging-mapreduce-skills-gap/#respond Thu, 13 Nov 2014 16:30:03 +0000 http://insidebigdata.com/?p=12355 Data is exploring at large organization. So is the adoption of Hadoop. Hadoop’s potential cost effectiveness and facility for accepting unstructured data is making it central to modern, “Big Data” architectures. Yet, a significant obstacle to Hadoop adoption has been a shortage of skilled MapReduce coders.]]> https://insideainews.com/2014/11/13/bridging-mapreduce-skills-gap/feed/ 0 12355 https://insideainews.com/2014/10/07/lustre-101/ https://insideainews.com/2014/10/07/lustre-101/#respond Tue, 07 Oct 2014 13:00:11 +0000 http://inside-bigdata.com/?p=11864 This week's lustre 101 article looks at the history of lustre and the typical configuration of this high-performance scalable storage solution for big data applications.]]> https://insideainews.com/2014/10/07/lustre-101/feed/ 0 11864 https://insideainews.com/2014/09/30/learning-define-software-defined-storage/ https://insideainews.com/2014/09/30/learning-define-software-defined-storage/#respond Tue, 30 Sep 2014 16:00:11 +0000 http://inside-bigdata.com/?p=11540 Let’s start the conversation here: If you work with big data in the cloud or deal with structured and unstructured data for analytics, you need software defined storage.]]> https://insideainews.com/2014/09/30/learning-define-software-defined-storage/feed/ 0 11540 https://insideainews.com/2014/09/29/optimizing-life-sciences-deploying-ibm-platform-computing/ https://insideainews.com/2014/09/29/optimizing-life-sciences-deploying-ibm-platform-computing/#respond Mon, 29 Sep 2014 19:00:51 +0000 http://inside-bigdata.com/?p=11481 In your world – numbers and data can save lives. Minutes and seconds absolutely matter. Whether engaged in genome sequencing, drug design, product analysis or risk management, life sciences research teams need high-performance technical environments with the ability to process massive amounts of data and support increasingly sophisticated simulations and analyses. ]]> https://insideainews.com/2014/09/29/optimizing-life-sciences-deploying-ibm-platform-computing/feed/ 0 11481 https://insideainews.com/2014/09/25/elastic-storage-power-flash-software-defined-storage-data-analytics/ https://insideainews.com/2014/09/25/elastic-storage-power-flash-software-defined-storage-data-analytics/#respond Thu, 25 Sep 2014 19:00:56 +0000 http://inside-bigdata.com/?p=11479 The rapid, accelerating growth of data, transactions, and digitally aware devices is straining today’s IT infrastructure. At the same time, storage costs are increasing and user expectations and cost pressures are rising. This staggering growth of data has led to the need for high-performance streaming, data access, and collaborative data sharing. So – how can elastic storage help? ]]> https://insideainews.com/2014/09/25/elastic-storage-power-flash-software-defined-storage-data-analytics/feed/ 0 11479 https://insideainews.com/2014/09/23/guide-to-big-data-solutions-in-the-cloud/ https://insideainews.com/2014/09/23/guide-to-big-data-solutions-in-the-cloud/#respond Tue, 23 Sep 2014 20:21:17 +0000 http://inside-bigdata.com/?p=11416 For a long time, the industry’s biggest technical challenge was squeezing as many compute cycles as possible out of silicon chips so they could get on with solving the really important, and often gigantic problems in science and engineering faster than was ever thought possible. Now, by clustering computers to work together on problems, scientists are free to consider even larger and more complex real-world problems to compute, and data to analyze.]]> https://insideainews.com/2014/09/23/guide-to-big-data-solutions-in-the-cloud/feed/ 0 11416