ºÝºÝߣshows by User: gkorland / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: gkorland / Sun, 15 Dec 2024 07:27:01 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: gkorland Increasing the Accuracy of LLM Applications with Graph-based RAG_ Practical Implementations.pdf /slideshow/increasing-the-accuracy-of-llm-applications-with-graph-based-rag_-practical-implementations-pdf/274076949 googlecloudexpertshub-increasingtheaccuracyofllmapplicationswithgraph-basedragpracticalimplementatio-241215072702-751d912f
Ref: https://www.falkordb.com/ The presentation, "Increasing the Accuracy of LLM Applications with Graph-based RAG: Practical Implementations," explores how integrating knowledge graphs with Retrieval-Augmented Generation (RAG) enhances the performance, accuracy, and scalability of large language models (LLMs). It highlights the limitations of traditional RAG approaches, introduces the benefits of graph-based RAG (GraphRAG), and details its architecture, use cases, and tools. Key applications include chatbots for finance, healthcare, and customer support, leveraging graph databases like FalkorDB for low-latency and dynamic knowledge retrieval. The presentation concludes with strategies to scale and optimize GraphRAG systems in production environments, emphasizing improved accuracy, explainability, and efficiency.]]>

Ref: https://www.falkordb.com/ The presentation, "Increasing the Accuracy of LLM Applications with Graph-based RAG: Practical Implementations," explores how integrating knowledge graphs with Retrieval-Augmented Generation (RAG) enhances the performance, accuracy, and scalability of large language models (LLMs). It highlights the limitations of traditional RAG approaches, introduces the benefits of graph-based RAG (GraphRAG), and details its architecture, use cases, and tools. Key applications include chatbots for finance, healthcare, and customer support, leveraging graph databases like FalkorDB for low-latency and dynamic knowledge retrieval. The presentation concludes with strategies to scale and optimize GraphRAG systems in production environments, emphasizing improved accuracy, explainability, and efficiency.]]>
Sun, 15 Dec 2024 07:27:01 GMT /slideshow/increasing-the-accuracy-of-llm-applications-with-graph-based-rag_-practical-implementations-pdf/274076949 gkorland@slideshare.net(gkorland) Increasing the Accuracy of LLM Applications with Graph-based RAG_ Practical Implementations.pdf gkorland Ref: https://www.falkordb.com/ The presentation, "Increasing the Accuracy of LLM Applications with Graph-based RAG: Practical Implementations," explores how integrating knowledge graphs with Retrieval-Augmented Generation (RAG) enhances the performance, accuracy, and scalability of large language models (LLMs). It highlights the limitations of traditional RAG approaches, introduces the benefits of graph-based RAG (GraphRAG), and details its architecture, use cases, and tools. Key applications include chatbots for finance, healthcare, and customer support, leveraging graph databases like FalkorDB for low-latency and dynamic knowledge retrieval. The presentation concludes with strategies to scale and optimize GraphRAG systems in production environments, emphasizing improved accuracy, explainability, and efficiency. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/googlecloudexpertshub-increasingtheaccuracyofllmapplicationswithgraph-basedragpracticalimplementatio-241215072702-751d912f-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Ref: https://www.falkordb.com/ The presentation, &quot;Increasing the Accuracy of LLM Applications with Graph-based RAG: Practical Implementations,&quot; explores how integrating knowledge graphs with Retrieval-Augmented Generation (RAG) enhances the performance, accuracy, and scalability of large language models (LLMs). It highlights the limitations of traditional RAG approaches, introduces the benefits of graph-based RAG (GraphRAG), and details its architecture, use cases, and tools. Key applications include chatbots for finance, healthcare, and customer support, leveraging graph databases like FalkorDB for low-latency and dynamic knowledge retrieval. The presentation concludes with strategies to scale and optimize GraphRAG systems in production environments, emphasizing improved accuracy, explainability, and efficiency.
Increasing the Accuracy of LLM Applications with Graph-based RAG_ Practical Implementations.pdf from Guy Korland
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GraphRAG is All You need? LLM & Knowledge Graph /slideshow/graphrag-is-all-you-need-llm-knowledge-graph/269450550 nlpiljournalclubonline-240601055935-a1f2707f
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs. 1. Unifying Large Language Models and Knowledge Graphs: A Roadmap. https://arxiv.org/abs/2306.08302 2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs: https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/]]>

Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs. 1. Unifying Large Language Models and Knowledge Graphs: A Roadmap. https://arxiv.org/abs/2306.08302 2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs: https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/]]>
Sat, 01 Jun 2024 05:59:35 GMT /slideshow/graphrag-is-all-you-need-llm-knowledge-graph/269450550 gkorland@slideshare.net(gkorland) GraphRAG is All You need? LLM & Knowledge Graph gkorland Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs. 1. Unifying Large Language Models and Knowledge Graphs: A Roadmap. https://arxiv.org/abs/2306.08302 2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs: https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nlpiljournalclubonline-240601055935-a1f2707f-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs. 1. Unifying Large Language Models and Knowledge Graphs: A Roadmap. https://arxiv.org/abs/2306.08302 2. Microsoft Research&#39;s GraphRAG paper and a review paper on various uses of knowledge graphs: https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
GraphRAG is All You need? LLM & Knowledge Graph from Guy Korland
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FalkorDB - Fastest way to your Knowledge /slideshow/falkordb-fastest-way-to-your-knowledge/267763897 falkordb-slides-240503140330-2c02928e
https://www.falkordb.com An ultra-low latency Graph Database that perfects the Knowledge Graph for GraphRAG. Effectively overcoming the existing limitations of RAG for Large Language Models (LLM).]]>

https://www.falkordb.com An ultra-low latency Graph Database that perfects the Knowledge Graph for GraphRAG. Effectively overcoming the existing limitations of RAG for Large Language Models (LLM).]]>
Fri, 03 May 2024 14:03:30 GMT /slideshow/falkordb-fastest-way-to-your-knowledge/267763897 gkorland@slideshare.net(gkorland) FalkorDB - Fastest way to your Knowledge gkorland https://www.falkordb.com An ultra-low latency Graph Database that perfects the Knowledge Graph for GraphRAG. Effectively overcoming the existing limitations of RAG for Large Language Models (LLM). <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/falkordb-slides-240503140330-2c02928e-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> https://www.falkordb.com An ultra-low latency Graph Database that perfects the Knowledge Graph for GraphRAG. Effectively overcoming the existing limitations of RAG for Large Language Models (LLM).
FalkorDB - Fastest way to your Knowledge from Guy Korland
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Redis Developer Day TLV - Redis Stack & RedisInsight /slideshow/redis-developer-day-tlv-redis-stack-redisinsight/256124322 redisdeveloperdaytlv-redisstackredisinsight-1-230226085315-a69ff056
A breakdown of Redis Stack capabilities and the enhanced developers experience it brings. Starting from Redis Stack Server, the clients and the new RedisInsight UI for developers. ]]>

A breakdown of Redis Stack capabilities and the enhanced developers experience it brings. Starting from Redis Stack Server, the clients and the new RedisInsight UI for developers. ]]>
Sun, 26 Feb 2023 08:53:15 GMT /slideshow/redis-developer-day-tlv-redis-stack-redisinsight/256124322 gkorland@slideshare.net(gkorland) Redis Developer Day TLV - Redis Stack & RedisInsight gkorland A breakdown of Redis Stack capabilities and the enhanced developers experience it brings. Starting from Redis Stack Server, the clients and the new RedisInsight UI for developers. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/redisdeveloperdaytlv-redisstackredisinsight-1-230226085315-a69ff056-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A breakdown of Redis Stack capabilities and the enhanced developers experience it brings. Starting from Redis Stack Server, the clients and the new RedisInsight UI for developers.
Redis Developer Day TLV - Redis Stack & RedisInsight from Guy Korland
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Using Redis As Your Online Feature Store: 2021 Highlights. 2022 Directions /slideshow/using-redis-as-your-online-feature-store-2021-highlights-2022-directions/251150275 applymeetupfeb22-redis-220210194236
Using Redis As Your Online Feature Store: 2021 Highlights. 2022 Directions]]>

Using Redis As Your Online Feature Store: 2021 Highlights. 2022 Directions]]>
Thu, 10 Feb 2022 19:42:36 GMT /slideshow/using-redis-as-your-online-feature-store-2021-highlights-2022-directions/251150275 gkorland@slideshare.net(gkorland) Using Redis As Your Online Feature Store: 2021 Highlights. 2022 Directions gkorland Using Redis As Your Online Feature Store: 2021 Highlights. 2022 Directions <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/applymeetupfeb22-redis-220210194236-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Using Redis As Your Online Feature Store: 2021 Highlights. 2022 Directions
Using Redis As Your Online Feature Store: 2021 Highlights. 2022 Directions from Guy Korland
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Vector database /slideshow/vector-database/251053508 vectordatabase-220125150057
Vector Database is a new vertical of databases used to index and measure the similarity between different pieces of data. While it works well with structured data, when utilized for Vector Similarity Search (VSS) it really shines when comparing similarity in unstructured data, such as vector embedding of images, audio, or long pieces of text]]>

Vector Database is a new vertical of databases used to index and measure the similarity between different pieces of data. While it works well with structured data, when utilized for Vector Similarity Search (VSS) it really shines when comparing similarity in unstructured data, such as vector embedding of images, audio, or long pieces of text]]>
Tue, 25 Jan 2022 15:00:56 GMT /slideshow/vector-database/251053508 gkorland@slideshare.net(gkorland) Vector database gkorland Vector Database is a new vertical of databases used to index and measure the similarity between different pieces of data. While it works well with structured data, when utilized for Vector Similarity Search (VSS) it really shines when comparing similarity in unstructured data, such as vector embedding of images, audio, or long pieces of text <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/vectordatabase-220125150057-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Vector Database is a new vertical of databases used to index and measure the similarity between different pieces of data. While it works well with structured data, when utilized for Vector Similarity Search (VSS) it really shines when comparing similarity in unstructured data, such as vector embedding of images, audio, or long pieces of text
Vector database from Guy Korland
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The evolution of DBaaS - israelcloudsummit /gkorland/the-evolution-of-dbaas-israelcloudsummit theevolutionofdbaas-israelcloudsummit-210622083155
The evolution of DBaaS presented israelcloudsummit. From Relational Database to Serverless NoSQL]]>

The evolution of DBaaS presented israelcloudsummit. From Relational Database to Serverless NoSQL]]>
Tue, 22 Jun 2021 08:31:55 GMT /gkorland/the-evolution-of-dbaas-israelcloudsummit gkorland@slideshare.net(gkorland) The evolution of DBaaS - israelcloudsummit gkorland The evolution of DBaaS presented israelcloudsummit. From Relational Database to Serverless NoSQL <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/theevolutionofdbaas-israelcloudsummit-210622083155-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The evolution of DBaaS presented israelcloudsummit. From Relational Database to Serverless NoSQL
The evolution of DBaaS - israelcloudsummit from Guy Korland
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From kv to multi model RedisDay NYC19 /slideshow/from-kv-to-multi-model-redisday-nyc19/152362715 fromkvtomultimodel-redisdayny19-190628093936
Turning Redis from a Key-Value store to a Multi-Model database]]>

Turning Redis from a Key-Value store to a Multi-Model database]]>
Fri, 28 Jun 2019 09:39:36 GMT /slideshow/from-kv-to-multi-model-redisday-nyc19/152362715 gkorland@slideshare.net(gkorland) From kv to multi model RedisDay NYC19 gkorland Turning Redis from a Key-Value store to a Multi-Model database <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/fromkvtomultimodel-redisdayny19-190628093936-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Turning Redis from a Key-Value store to a Multi-Model database
From kv to multi model RedisDay NYC19 from Guy Korland
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From Key-Value to Multi-Model - RedisConf19 /slideshow/from-keyvalue-to-multimodel/139617530 fromkvtomultimodel-190404190955
Turning Redis from a Key-Value store to a Multi-Model database]]>

Turning Redis from a Key-Value store to a Multi-Model database]]>
Thu, 04 Apr 2019 19:09:55 GMT /slideshow/from-keyvalue-to-multimodel/139617530 gkorland@slideshare.net(gkorland) From Key-Value to Multi-Model - RedisConf19 gkorland Turning Redis from a Key-Value store to a Multi-Model database <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/fromkvtomultimodel-190404190955-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Turning Redis from a Key-Value store to a Multi-Model database
From Key-Value to Multi-Model - RedisConf19 from Guy Korland
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Paractical Solutions for Multicore Programming /slideshow/open-u/31127282 openu-140212092522-phpapp01
From Crafting a High-Performance Ready-to-Go STM to non-Linearizable Data Structures]]>

From Crafting a High-Performance Ready-to-Go STM to non-Linearizable Data Structures]]>
Wed, 12 Feb 2014 09:25:22 GMT /slideshow/open-u/31127282 gkorland@slideshare.net(gkorland) Paractical Solutions for Multicore Programming gkorland From Crafting a High-Performance Ready-to-Go STM to non-Linearizable Data Structures <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/openu-140212092522-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> From Crafting a High-Performance Ready-to-Go STM to non-Linearizable Data Structures
Paractical Solutions for Multicore Programming from Guy Korland
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Crafting a Ready-to-Go STM /slideshow/deuce-stm/31072654 deucestm-google-140211042636-phpapp01
Crafting a Ready-to-Go Java STM]]>

Crafting a Ready-to-Go Java STM]]>
Tue, 11 Feb 2014 04:26:36 GMT /slideshow/deuce-stm/31072654 gkorland@slideshare.net(gkorland) Crafting a Ready-to-Go STM gkorland Crafting a Ready-to-Go Java STM <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/deucestm-google-140211042636-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Crafting a Ready-to-Go Java STM
Crafting a Ready-to-Go STM from Guy Korland
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Building Scalable Producer-Consumer Pools based on Elimination-Diraction Trees /slideshow/ed-tree-presentation/31072543 edtreepresentation-140211042259-phpapp02
We present the ED-Tree, a distributed pool structure based on a combination of the elimination-tree and diffracting-tree paradigms, allowing high degrees of parallelism with reduced contention]]>

We present the ED-Tree, a distributed pool structure based on a combination of the elimination-tree and diffracting-tree paradigms, allowing high degrees of parallelism with reduced contention]]>
Tue, 11 Feb 2014 04:22:59 GMT /slideshow/ed-tree-presentation/31072543 gkorland@slideshare.net(gkorland) Building Scalable Producer-Consumer Pools based on Elimination-Diraction Trees gkorland We present the ED-Tree, a distributed pool structure based on a combination of the elimination-tree and diffracting-tree paradigms, allowing high degrees of parallelism with reduced contention <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/edtreepresentation-140211042259-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> We present the ED-Tree, a distributed pool structure based on a combination of the elimination-tree and diffracting-tree paradigms, allowing high degrees of parallelism with reduced contention
Building Scalable Producer-Consumer Pools based on Elimination-Diraction Trees from Guy Korland
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Lowering STM Overhead with Static Analysis /slideshow/lowering-stm-overhead-with-static-analysis/31072481 better2-140211042048-phpapp02
Instrumenting all transactional memory accesses induces a huge performance overhead. STM compiler optimizations reduce the overhead]]>

Instrumenting all transactional memory accesses induces a huge performance overhead. STM compiler optimizations reduce the overhead]]>
Tue, 11 Feb 2014 04:20:48 GMT /slideshow/lowering-stm-overhead-with-static-analysis/31072481 gkorland@slideshare.net(gkorland) Lowering STM Overhead with Static Analysis gkorland Instrumenting all transactional memory accesses induces a huge performance overhead. STM compiler optimizations reduce the overhead <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/better2-140211042048-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Instrumenting all transactional memory accesses induces a huge performance overhead. STM compiler optimizations reduce the overhead
Lowering STM Overhead with Static Analysis from Guy Korland
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Cloudify 10m /slideshow/cloudify-10m/13339290 cloudify10m-120615093720-phpapp01
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Fri, 15 Jun 2012 09:37:18 GMT /slideshow/cloudify-10m/13339290 gkorland@slideshare.net(gkorland) Cloudify 10m gkorland <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cloudify10m-120615093720-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Cloudify 10m from Guy Korland
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Open stack bigdata NY cloudcamp /slideshow/open-stack-bigdata-ny-cloudcamp/13339262 openstackbigdatacloudcamp-120615093308-phpapp02
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Fri, 15 Jun 2012 09:33:07 GMT /slideshow/open-stack-bigdata-ny-cloudcamp/13339262 gkorland@slideshare.net(gkorland) Open stack bigdata NY cloudcamp gkorland <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/openstackbigdatacloudcamp-120615093308-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Open stack bigdata NY cloudcamp from Guy Korland
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The Open PaaS Stack /slideshow/the-open-paas-stack/13144310 theopenpaas-120531014049-phpapp01
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Thu, 31 May 2012 01:40:47 GMT /slideshow/the-open-paas-stack/13144310 gkorland@slideshare.net(gkorland) The Open PaaS Stack gkorland <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/theopenpaas-120531014049-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
The Open PaaS Stack from Guy Korland
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Quasi-Linearizability: relaxed consistency for improved concurrency. /slideshow/quasilinearizability-relaxed-consistency-for-improved-concurrency/6243458 quasi-linea-101219144011-phpapp02
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Sun, 19 Dec 2010 14:40:06 GMT /slideshow/quasilinearizability-relaxed-consistency-for-improved-concurrency/6243458 gkorland@slideshare.net(gkorland) Quasi-Linearizability: relaxed consistency for improved concurrency. gkorland <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/quasi-linea-101219144011-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Quasi-Linearizability: relaxed consistency for improved concurrency. from Guy Korland
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The Next Generation Application Server – How Event Based Processing yields scalability /gkorland/gigaspaces-canoe09 gigaspaces-canoe09-090902062416-phpapp01
GigaSapces on CANOE'09 ]]>

GigaSapces on CANOE'09 ]]>
Wed, 02 Sep 2009 06:24:07 GMT /gkorland/gigaspaces-canoe09 gkorland@slideshare.net(gkorland) The Next Generation Application Server – How Event Based Processing yields scalability gkorland GigaSapces on CANOE'09 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/gigaspaces-canoe09-090902062416-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> GigaSapces on CANOE&#39;09
The Next Generation Application Server – How Event Based Processing yields scalability from Guy Korland
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Deuce STM - CMP'09 /slideshow/deuce-stm-cmp09/1907800 deuce-stm-cmp09-3410
Deuce STM - CMP'09 ]]>

Deuce STM - CMP'09 ]]>
Wed, 26 Aug 2009 05:40:09 GMT /slideshow/deuce-stm-cmp09/1907800 gkorland@slideshare.net(gkorland) Deuce STM - CMP'09 gkorland Deuce STM - CMP'09 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/deuce-stm-cmp09-3410-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Deuce STM - CMP&#39;09
Deuce STM - CMP'09 from Guy Korland
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