IBM TechXchange 2025嘉宾演讲PPT合集-数据(共162套打包)

IBM TechXchange 2025嘉宾演讲PPT合集-数据(共162套打包)

更新时间:2025-12-03 报告数量:162份

4139 - Presto C++ 的学习与基准测试.pdf   4139 - Presto C++ 的学习与基准测试.pdf
4243 - 利用企业记录和 FileNet 内容管理器进行可辩护的处置.pdf   4243 - 利用企业记录和 FileNet 内容管理器进行可辩护的处置.pdf
4143 - 使用 Apache Cassandra® 处理无限的企业数据工作负载.pdf   4143 - 使用 Apache Cassandra® 处理无限的企业数据工作负载.pdf
4135 - 使用 Velox 和 NVIDIA cuDF 加速 Presto.pdf   4135 - 使用 Velox 和 NVIDIA cuDF 加速 Presto.pdf
3382 - Db2 12.1:为未来的部署和工作负载做好准备.pdf   3382 - Db2 12.1:为未来的部署和工作负载做好准备.pdf
3254 - 使用 Power 升级到下一代本地分析.pdf   3254 - 使用 Power 升级到下一代本地分析.pdf
3165 - SQL 应用程序增强.pdf   3165 - SQL 应用程序增强.pdf
3161 - 停止痛苦开始虚拟化.pdf   3161 - 停止痛苦开始虚拟化.pdf
4384 - 佛蒙特信息处理公司使用 DataStage 实现每天 34 万个实例、1500 个作业定义.pdf   4384 - 佛蒙特信息处理公司使用 DataStage 实现每天 34 万个实例、1500 个作业定义.pdf
4224 - 使用 Apache Iceberg 支持增强 watsonX.data:集成 Presto C++ 和 Gluten 以实现高级分析.pdf   4224 - 使用 Apache Iceberg 支持增强 watsonX.data:集成 Presto C++ 和 Gluten 以实现高级分析.pdf
4136 - 使用 Velox、Presto 和 CuDF 加速数据处理.pdf   4136 - 使用 Velox、Presto 和 CuDF 加速数据处理.pdf
3255 - 使用 Db2 Bridge、Q Replication 等进行数据迁移策略.pdf   3255 - 使用 Db2 Bridge、Q Replication 等进行数据迁移策略.pdf
3169 - 龟兔赛跑:释放数据库的全部潜能和速度.pdf   3169 - 龟兔赛跑:释放数据库的全部潜能和速度.pdf
3162 - 保护您的 Db2 for z_OS 环境免受网络攻击.pdf   3162 - 保护您的 Db2 for z_OS 环境免受网络攻击.pdf
3142 - 开放数据湖中的 IBM z_OS 数据.pdf   3142 - 开放数据湖中的 IBM z_OS 数据.pdf
4226 - IBM watsonx.data 中采用 NVIDIA CuDF 实现原生 GPU 加速.pdf   4226 - IBM watsonx.data 中采用 NVIDIA CuDF 实现原生 GPU 加速.pdf
3740 - Apache Gluten 简介.pdf   3740 - Apache Gluten 简介.pdf
3296 - 变革数据管理:信诺的创新型档案即服务.pdf   3296 - 变革数据管理:信诺的创新型档案即服务.pdf
3251 - Db2 SaaS 更新:您的云您的规则.pdf   3251 - Db2 SaaS 更新:您的云您的规则.pdf
4225 - 从开源到企业级:利用 Zilliz Cloud 解锁矢量搜索.pdf   4225 - 从开源到企业级:利用 Zilliz Cloud 解锁矢量搜索.pdf
4227 - 麸质记忆管理.pdf   4227 - 麸质记忆管理.pdf
4137 - 小组讨论:开放数据湖屋的硬件加速.pdf   4137 - 小组讨论:开放数据湖屋的硬件加速.pdf
4142 - AI 搜索实战:将 Milvus 扩展到十亿级向量.pdf   4142 - AI 搜索实战:将 Milvus 扩展到十亿级向量.pdf
3739 - Presto 简介:面向数据湖屋的快速 SQL.pdf   3739 - Presto 简介:面向数据湖屋的快速 SQL.pdf
3741 - 利用 Apache Gluten 提升 Pinterest 的数据查询性能.pdf   3741 - 利用 Apache Gluten 提升 Pinterest 的数据查询性能.pdf
3256 - Db2 pureScale 本地部署和云端部署.pdf   3256 - Db2 pureScale 本地部署和云端部署.pdf
3381 - 将 Db2_Z 迁移到 Db2 pureScale 的真实案例.pdf   3381 - 将 Db2_Z 迁移到 Db2 pureScale 的真实案例.pdf
3250 - 利用多行处理技术提升 Db2 性能.pdf   3250 - 利用多行处理技术提升 Db2 性能.pdf
3252 - Db2 Warehouse SaaS 更新:关键任务分析、您的云、您的控制.pdf   3252 - Db2 Warehouse SaaS 更新:关键任务分析、您的云、您的控制.pdf
3213 - 释放 Amazon RDS 的强大功能:Amazon RDS Db2 深度解析.pdf   3213 - 释放 Amazon RDS 的强大功能:Amazon RDS Db2 深度解析.pdf
3247 - 数据库管理员 - DevOps 的无名英雄.pdf   3247 - 数据库管理员 - DevOps 的无名英雄.pdf
3163 - IBM Db2 查询监视器 - Web 客户端界面研讨会.pdf   3163 - IBM Db2 查询监视器 - Web 客户端界面研讨会.pdf
3149 - 利用 IBM Z 数据和 AI Optimiser for Z 释放生成式 AI 的强大功能.pdf   3149 - 利用 IBM Z 数据和 AI Optimiser for Z 释放生成式 AI 的强大功能.pdf
3248 - 好事会降临到那些优化自身的人身上.pdf   3248 - 好事会降临到那些优化自身的人身上.pdf
3152 - Db2 13 for z_OS 安全更新.pdf   3152 - Db2 13 for z_OS 安全更新.pdf
3140 - 使用 Db2 13 for z_OS 执行 AI 查询.pdf   3140 - 使用 Db2 13 for z_OS 执行 AI 查询.pdf
2973 - 从混沌到秩序:watsonx.data 的 GenAI Lakehouse 的演进故事.pdf   2973 - 从混沌到秩序:watsonx.data 的 GenAI Lakehouse 的演进故事.pdf
2858 - 小组讨论:利用 Guardium 实现优化混合云安全.pdf   2858 - 小组讨论:利用 Guardium 实现优化混合云安全.pdf
2801 - 通过 WatsonX 和 DataStax 进行企业问答并提供 RAG 和反馈.pdf   2801 - 通过 WatsonX 和 DataStax 进行企业问答并提供 RAG 和反馈.pdf
2373 - Informix 无处不在的加密.pdf   2373 - Informix 无处不在的加密.pdf
2075 - 在 AWS 上使用 IBM Watsonx.data 和 IBM Data Gate 在 RAG 应用程序中使用大型机数据.pdf   2075 - 在 AWS 上使用 IBM Watsonx.data 和 IBM Data Gate 在 RAG 应用程序中使用大型机数据.pdf
1267 - BusyBee 的经验教训:我们从 IBM TechXchange 黑客马拉松中学到了什么.pdf   1267 - BusyBee 的经验教训:我们从 IBM TechXchange 黑客马拉松中学到了什么.pdf
4464 - 数据准备工具包简介:一个用于LLM的可扩展数据准备的Python框架.pdf   4464 - 数据准备工具包简介:一个用于LLM的可扩展数据准备的Python框架.pdf
4417 - 缓存为王 - IBM Z 和 DS8 G10 的协同效应.pdf   4417 - 缓存为王 - IBM Z 和 DS8 G10 的协同效应.pdf
4249 - 利用数据准备工具包加速LLM的数据工程.pdf   4249 - 利用数据准备工具包加速LLM的数据工程.pdf
3590 - 使用基于LLM的语义增强将业务上下文应用于表和列.pdf   3590 - 使用基于LLM的语义增强将业务上下文应用于表和列.pdf
3249 - 通过 API 实现 Db2 数据访问的策略.pdf   3249 - 通过 API 实现 Db2 数据访问的策略.pdf
3155 - 从数据到价值:SQL 数据洞察入门.pdf   3155 - 从数据到价值:SQL 数据洞察入门.pdf
2974 - Db2 智能中心.pdf   2974 - Db2 智能中心.pdf
2909 - 面向未来的数据:量子计算时代的量子安全加密.pdf   2909 - 面向未来的数据:量子计算时代的量子安全加密.pdf
2802 - 使用 watsonx.data 构建企业代理解决方案.pdf   2802 - 使用 watsonx.data 构建企业代理解决方案.pdf
2425 - 使用 IBM DataStage 实现高效数据集成:成功案例和最佳实践.pdf   2425 - 使用 IBM DataStage 实现高效数据集成:成功案例和最佳实践.pdf
2078 年 - IDS 15.0 - 无限且面向未来.pdf   2078 年 - IDS 15.0 - 无限且面向未来.pdf
4166 - 生成式人工智能的释放:在企业范围内扩展创新.pdf   4166 - 生成式人工智能的释放:在企业范围内扩展创新.pdf
3723 - 公共服务创新:基于本地部署人工智能的多语言行政处理案例研究.pdf   3723 - 公共服务创新:基于本地部署人工智能的多语言行政处理案例研究.pdf
3595 - 冠军案例研究综述:现实世界中的创新、协作和优化.pdf   3595 - 冠军案例研究综述:现实世界中的创新、协作和优化.pdf
3488 - 解锁资产智能:利用人工智能实现 Maximo Regulator 数据增强自动化.pdf   3488 - 解锁资产智能:利用人工智能实现 Maximo Regulator 数据增强自动化.pdf
3358 - 大型机路线图:面向智能体人工智能的未来及其他.pdf   3358 - 大型机路线图:面向智能体人工智能的未来及其他.pdf
3214 - Amazon RDS for Db2 的新特性.pdf   3214 - Amazon RDS for Db2 的新特性.pdf
3159 - CI_CD 专家.pdf   3159 - CI_CD 专家.pdf
3147 - 可用性和性能:异步系统管理的双工模式和 Db2 for z_OS LOCK1 结构.pdf   3147 - 可用性和性能:异步系统管理的双工模式和 Db2 for z_OS LOCK1 结构.pdf
2977 - 重新思考数据架构:Netezza BYOC 和原生 COSApache Iceberg 与 REST Catalog.pdf   2977 - 重新思考数据架构:Netezza BYOC 和原生 COSApache Iceberg 与 REST Catalog.pdf
2971 - 统一数据能力:Netezza Performance Server 和 Open Lakehouse.pdf   2971 - 统一数据能力:Netezza Performance Server 和 Open Lakehouse.pdf
2806 - IBM 数据智能代理:如何为企业用例构建 AI 代理.pdf   2806 - IBM 数据智能代理:如何为企业用例构建 AI 代理.pdf
2798 - 开启未来:watsonx.data 的创新.pdf   2798 - 开启未来:watsonx.data 的创新.pdf
3158 - 利用 OpenTelemetry 增强 Db2 for z_OS 应用程序的功能.pdf   3158 - 利用 OpenTelemetry 增强 Db2 for z_OS 应用程序的功能.pdf
2270 - Informix:检测和避免与存储和多节点系统相关的性能问题.pdf   2270 - Informix:检测和避免与存储和多节点系统相关的性能问题.pdf
3146 - 如何在数据湖屋环境中处理 z 数据.pdf   3146 - 如何在数据湖屋环境中处理 z 数据.pdf
2976 - 开源速成课程:将 Kafka、dbt、Airflow 和 Ranger 与 watsonx.data 集成.pdf   2976 - 开源速成课程:将 Kafka、dbt、Airflow 和 Ranger 与 watsonx.data 集成.pdf
3164 - 解放您的时间睡得更好:Db2 for z_OS Agent 如何成为您自主、智能且高效的合作伙伴.pdf   3164 - 解放您的时间睡得更好:Db2 for z_OS Agent 如何成为您自主、智能且高效的合作伙伴.pdf
2970 - 利用人工智能提升效率:使用 IBM 内容助手即时查找信息.pdf   2970 - 利用人工智能提升效率:使用 IBM 内容助手即时查找信息.pdf
3160 - 利用现代仪表板提升 Db2 for z_OS 的可观测性和操作性.pdf   3160 - 利用现代仪表板提升 Db2 for z_OS 的可观测性和操作性.pdf
2805 - 最新最全:watsonx.data 智能的最新功能.pdf   2805 - 最新最全:watsonx.data 智能的最新功能.pdf
3056 - CP4BA 24.0.x 和 25.0.0 的架构和部署最佳实践.pdf   3056 - CP4BA 24.0.x 和 25.0.0 的架构和部署最佳实践.pdf
2649 - IBM 数据安全软件战略:在混合云、人工智能和量子计算时代保护数据.pdf   2649 - IBM 数据安全软件战略:在混合云、人工智能和量子计算时代保护数据.pdf
2972 - 产品路线图:Db2 - 新增功能、变更内容和未来展望.pdf   2972 - 产品路线图:Db2 - 新增功能、变更内容和未来展望.pdf
2251 - 将您的 Informix 数据转化为数据产品.pdf   2251 - 将您的 Informix 数据转化为数据产品.pdf
2807 - 解锁所有数据:自动监控结构化和非结构化数据的质量.pdf   2807 - 解锁所有数据:自动监控结构化和非结构化数据的质量.pdf
2085 - Informix 4GL 期货.pdf   2085 - Informix 4GL 期货.pdf
2799 - Db2 与生成式 AI 的结合:AI 助手、向量搜索及其他.pdf   2799 - Db2 与生成式 AI 的结合:AI 助手、向量搜索及其他.pdf
2368 - 从混乱到清晰:通过 IKC 数据治理实现战略价值.pdf   2368 - 从混乱到清晰:通过 IKC 数据治理实现战略价值.pdf
2142 - 下一代 Informix:利用 Kubernetes 和容器实现云原生功能.pdf   2142 - 下一代 Informix:利用 Kubernetes 和容器实现云原生功能.pdf
3231 - 释放数据智能的力量:将 IGC_IA 现代化为 watsonx.data intelligence.pdf   3231 - 释放数据智能的力量:将 IGC_IA 现代化为 watsonx.data intelligence.pdf
3230 - 释放 DataStage 的强大功能:将 Information Server DataStage 现代化并集成到 watsonx.data 中.pdf   3230 - 释放 DataStage 的强大功能:将 Information Server DataStage 现代化并集成到 watsonx.data 中.pdf
3225 - 克服部署障碍实现 DataStage DevOps:亨廷顿银行的 MettleCI 转型.pdf   3225 - 克服部署障碍实现 DataStage DevOps:亨廷顿银行的 MettleCI 转型.pdf
3144 - watsonx Z 助手 – 适用于 Db2 系统程序员和数据库管理员.pdf   3144 - watsonx Z 助手 – 适用于 Db2 系统程序员和数据库管理员.pdf
2145 - 关于 Informix 和 PFSC(分区可用空间缓存)Boost 的 Onconfig 参数.pdf   2145 - 关于 Informix 和 PFSC(分区可用空间缓存)Boost 的 Onconfig 参数.pdf
1280 - AnyLog 网络 - 将边缘转换为虚拟数据湖.pdf   1280 - AnyLog 网络 - 将边缘转换为虚拟数据湖.pdf
3141 - 将 AI 融入 Db2 for z_OS.pdf   3141 - 将 AI 融入 Db2 for z_OS.pdf
3063 - 使用灵活、集成的 Cloud Pak for Business Automation 实现您的业务自动化解决方案现代化.pdf   3063 - 使用灵活、集成的 Cloud Pak for Business Automation 实现您的业务自动化解决方案现代化.pdf
3061 - 智能体人工智能时代的业务自动化.pdf   3061 - 智能体人工智能时代的业务自动化.pdf
2196 - 主动式 Informix 管理.pdf   2196 - 主动式 Informix 管理.pdf
2947 - 学生开发日:以正确的方式构建您的第一代人工智能应用程序(自带设备).pdf   2947 - 学生开发日:以正确的方式构建您的第一代人工智能应用程序(自带设备).pdf
2900 - IBM Fusion – 面向人工智能和容器的现代化基础设施.pdf   2900 - IBM Fusion – 面向人工智能和容器的现代化基础设施.pdf
2897 - 小组:融合精彩集锦.pdf   2897 - 小组:融合精彩集锦.pdf
2896 - 小组讨论:AI Everywhere - IBM Fusion for AI and for All.pdf   2896 - 小组讨论:AI Everywhere - IBM Fusion for AI and for All.pdf
2847 - 智能体人工智能和 IBM i.pdf   2847 - 智能体人工智能和 IBM i.pdf
2800 - 向量数据库和检索增强生成 (RAG):利用 Milvus 和 WatsonX 为 AI 赋能.pdf   2800 - 向量数据库和检索增强生成 (RAG):利用 Milvus 和 WatsonX 为 AI 赋能.pdf
2797 - 您的数据是否已准备好迎接人工智能?利用您的非结构化和结构化数据构建精准的人工智能.pdf   2797 - 您的数据是否已准备好迎接人工智能?利用您的非结构化和结构化数据构建精准的人工智能.pdf
2500 - 利用 watsonx 和 SpeedShotX 解锁万亿美元体育市场.pdf   2500 - 利用 watsonx 和 SpeedShotX 解锁万亿美元体育市场.pdf
2123 - 升级 Informix 数据库版本和_或迁移平台.pdf   2123 - 升级 Informix 数据库版本和_或迁移平台.pdf
1335 超越舒适区:高度安全的本地部署和云端 DB2.pdf   1335 超越舒适区:高度安全的本地部署和云端 DB2.pdf
1334 种全方位 Db2 数据迁移工具.pdf   1334 种全方位 Db2 数据迁移工具.pdf
1064 - 我的 Db2 for z_OS 专家离开了我需要升级到 Db2 13.pdf   1064 - 我的 Db2 for z_OS 专家离开了我需要升级到 Db2 13.pdf
2497 - 与 AWS 合作伙伴解决方案架构师的智力较量.pdf   2497 - 与 AWS 合作伙伴解决方案架构师的智力较量.pdf
1914 - 数据库操作 (DbOps).pdf   1914 - 数据库操作 (DbOps).pdf
1274 使用 Python 实现 Db2 自动升级和自动配置.pdf   1274 使用 Python 实现 Db2 自动升级和自动配置.pdf
2411 - 你不知道的事情正在让你付出代价——基于模型的AI+GenAI挖掘未知的未知领域.pdf   2411 - 你不知道的事情正在让你付出代价——基于模型的AI+GenAI挖掘未知的未知领域.pdf
2384 - 使用 watsonx.ai 和 watsonx.data 实时构建可用于生产环境的 AI 代理.pdf   2384 - 使用 watsonx.ai 和 watsonx.data 实时构建可用于生产环境的 AI 代理.pdf
2323 - 第三部分之谜 - 人工智能驱动可持续供应链.pdf   2323 - 第三部分之谜 - 人工智能驱动可持续供应链.pdf
2220 - 将 IBM Watson X Assistant 连接到 IBM i_Db2 for i 的实用解决方案和经验教训.pdf   2220 - 将 IBM Watson X Assistant 连接到 IBM i_Db2 for i 的实用解决方案和经验教训.pdf
2211 - 利用生成式人工智能和 watsonx.ai 革新公关媒体分析.pdf   2211 - 利用生成式人工智能和 watsonx.ai 革新公关媒体分析.pdf
2203 - 利用 IBM IMS 和 watsonx.data 优化数据管理以获得更深入的洞察.pdf   2203 - 利用 IBM IMS 和 watsonx.data 优化数据管理以获得更深入的洞察.pdf
2202 - IBM LinuxONE 上的 Db2 如何助力 Sicoob 的数字化转型之旅.pdf   2202 - IBM LinuxONE 上的 Db2 如何助力 Sicoob 的数字化转型之旅.pdf
2171 - M&T银行:革新大型机应用程序信息共享.pdf   2171 - M&T银行:革新大型机应用程序信息共享.pdf
2087 - 从试点到生产:利用 Dynamiq 加速 Watsonx 企业级智能代理 AI.pdf   2087 - 从试点到生产:利用 Dynamiq 加速 Watsonx 企业级智能代理 AI.pdf
2008 年 - 由 Informix 和 Watsonx 提供支持的 Text to SQL Agent.pdf   2008 年 - 由 Informix 和 Watsonx 提供支持的 Text to SQL Agent.pdf
2000 - 使用新发布的 IBM Informix 15 将 Smartblob 文档外部化.pdf   2000 - 使用新发布的 IBM Informix 15 将 Smartblob 文档外部化.pdf
1959年——默认负责任的人工智能:通过合乎伦理的人工智能治理提升居民的数字体验.pdf   1959年——默认负责任的人工智能:通过合乎伦理的人工智能治理提升居民的数字体验.pdf
1955年——洛克希德·马丁公司与IBM合作提升制造质量.pdf   1955年——洛克希德·马丁公司与IBM合作提升制造质量.pdf
1946 年——我们到达了吗?数据重构之旅.pdf   1946 年——我们到达了吗?数据重构之旅.pdf
1920 - 重新思考人工智能世界中的内容_文档.pdf   1920 - 重新思考人工智能世界中的内容_文档.pdf
1868 - DB2 实时数据同步:IBM 数据复制在 CP4D 上的优势.pdf   1868 - DB2 实时数据同步:IBM 数据复制在 CP4D 上的优势.pdf
1862 - 云原生数据迁移革命:CP4D 上的 DataStage.pdf   1862 - 云原生数据迁移革命:CP4D 上的 DataStage.pdf
1826 - 释放位置数据的力量:利用已验证的地址数据改造助手、主数据管理 (MDM) 和数据产品.pdf   1826 - 释放位置数据的力量:利用已验证的地址数据改造助手、主数据管理 (MDM) 和数据产品.pdf
1782 - 利用人工智能实现服务台现代化——如何达到 98% 的准确率.pdf   1782 - 利用人工智能实现服务台现代化——如何达到 98% 的准确率.pdf
1325 - 使用 Sysmaster 数据库管理和优化 IBM Informix 服务器.pdf   1325 - 使用 Sysmaster 数据库管理和优化 IBM Informix 服务器.pdf
1779 - Stena Drilling 的 MAS 升级案例涉及多个远程生产实例实现零停机时间.pdf   1779 - Stena Drilling 的 MAS 升级案例涉及多个远程生产实例实现零停机时间.pdf
1766 - 在中小企业环境中使用 Watson X 和客户端工程部署 AI 代理.pdf   1766 - 在中小企业环境中使用 Watson X 和客户端工程部署 AI 代理.pdf
1760 - IBM 数据湖屋具备数据隐私保护功能可实现自动化和加速的报告和合规性.pdf   1760 - IBM 数据湖屋具备数据隐私保护功能可实现自动化和加速的报告和合规性.pdf
1759 - Customer 360 提升客户服务.pdf   1759 - Customer 360 提升客户服务.pdf
1733 - 通过数据整合提升公共服务:阿肯色州数据中心计划.pdf   1733 - 通过数据整合提升公共服务:阿肯色州数据中心计划.pdf
1674 - 在 IBM Cloud Pak for Data 中实现促销管理自动化.pdf   1674 - 在 IBM Cloud Pak for Data 中实现促销管理自动化.pdf
1640 - 人工智能代理的崛起:利用智能自动化重新定义供应链.pdf   1640 - 人工智能代理的崛起:利用智能自动化重新定义供应链.pdf
1592 - AI 与 IBM 内容助手携手 FileNet.pdf   1592 - AI 与 IBM 内容助手携手 FileNet.pdf
1587 - 在业务中充分利用 IBM 内容助手 - 消除炒作创造价值.pdf   1587 - 在业务中充分利用 IBM 内容助手 - 消除炒作创造价值.pdf
1525 - 前线自动化:IBM 在下一代执法中的作用.pdf   1525 - 前线自动化:IBM 在下一代执法中的作用.pdf
1523 - 利用 AI 最大程度发挥 Db2 系统的性能——Db2 AI for z_OS 成功案例 @ HUK-COBURG.pdf   1523 - 利用 AI 最大程度发挥 Db2 系统的性能——Db2 AI for z_OS 成功案例 @ HUK-COBURG.pdf
1444 - 应用人工智能代理和事件驱动系统打破转型僵局——同时确保安全.pdf   1444 - 应用人工智能代理和事件驱动系统打破转型僵局——同时确保安全.pdf
1429 - 可视化您的 Db2 环境.pdf   1429 - 可视化您的 Db2 环境.pdf
1416 - 客户旅程:从传统到 WOW!.pdf   1416 - 客户旅程:从传统到 WOW!.pdf
1403 - MAS-MAXIMO 应用套件 - 充分利用从 Oracle 数据库迁移到 DB2 数据库的优势及其他.pdf   1403 - MAS-MAXIMO 应用套件 - 充分利用从 Oracle 数据库迁移到 DB2 数据库的优势及其他.pdf
1394 - 轻松将您的传统 DataStage 平台现代化升级到 Cloud Pak for Data.pdf   1394 - 轻松将您的传统 DataStage 平台现代化升级到 Cloud Pak for Data.pdf
1393 - 为您的 DataStage 数据管道提供智能自动化测试和部署.pdf   1393 - 为您的 DataStage 数据管道提供智能自动化测试和部署.pdf
1390 - Db2 在 Intel Xeon 6 处理器上的性能.pdf   1390 - Db2 在 Intel Xeon 6 处理器上的性能.pdf
1373 - 利用 VS Code 和混合工具链实现更高的业务敏捷性.pdf   1373 - 利用 VS Code 和混合工具链实现更高的业务敏捷性.pdf
1351 - DIY DB2 管理解决方案.pdf   1351 - DIY DB2 管理解决方案.pdf
1319 - 从砖瓦到脑电波——如何让建筑数据智能化.pdf   1319 - 从砖瓦到脑电波——如何让建筑数据智能化.pdf
1129 深入探索 SQL 数据洞察_1756972900866001hytD.pdf.pdf   1129 深入探索 SQL 数据洞察_1756972900866001hytD.pdf.pdf
1313 - Db2 z_OS 13 - 使用配置文件监控_阻止不安全的 TCP_IP 连接.pdf   1313 - Db2 z_OS 13 - 使用配置文件监控_阻止不安全的 TCP_IP 连接.pdf
1271 - 超越 Db2 舒适区:深层性能提升.pdf   1271 - 超越 Db2 舒适区:深层性能提升.pdf
1245 - 数据治理之旅:从混乱到清晰.pdf   1245 - 数据治理之旅:从混乱到清晰.pdf
1210 - 创新数据解决方案:洛克希德·马丁公司与 IBM Cloud Pak 和 Watson Technologies 的合作历程.pdf   1210 - 创新数据解决方案:洛克希德·马丁公司与 IBM Cloud Pak 和 Watson Technologies 的合作历程.pdf
1197 - 使用 IBM watsonx.data、IBM watsonx.ai、IBM WCA 和 IBM Fusion 将 AI 从试点扩展到生产.pdf   1197 - 使用 IBM watsonx.data、IBM watsonx.ai、IBM WCA 和 IBM Fusion 将 AI 从试点扩展到生产.pdf
1175 - 企业级 Db2 工作负载现代化:AWS RDS 迁移和管理最佳实践.pdf   1175 - 企业级 Db2 工作负载现代化:AWS RDS 迁移和管理最佳实践.pdf
1168 - IBM 通过集成 Db2 查询监视器、SQL Perform、分析器和管理工具实现三重解决方案.pdf   1168 - IBM 通过集成 Db2 查询监视器、SQL Perform、分析器和管理工具实现三重解决方案.pdf
1157 - 小组讨论:IBM FlashSystem 和 SVC 在医疗保健领域的应用 - 确保数十年正常运行的健康存储和 SVC.pdf   1157 - 小组讨论:IBM FlashSystem 和 SVC 在医疗保健领域的应用 - 确保数十年正常运行的健康存储和 SVC.pdf
1141 - 仅需两周即可上线您的企业人工智能用例 - 保持竞争优势.pdf   1141 - 仅需两周即可上线您的企业人工智能用例 - 保持竞争优势.pdf
1139 - 巴西银行在实施 IBM Db2 Data Gate 以简化和加速现代化方面的经验.pdf   1139 - 巴西银行在实施 IBM Db2 Data Gate 以简化和加速现代化方面的经验.pdf
1112 - 大规模 CP4BA 实施的挑战.pdf   1112 - 大规模 CP4BA 实施的挑战.pdf
1078 - 使用 IBM Business Automation 构建多渠道客户服务解决方案.pdf   1078 - 使用 IBM Business Automation 构建多渠道客户服务解决方案.pdf
1063 - Db2 13 for z_OS - 从正式发布到今天.pdf   1063 - Db2 13 for z_OS - 从正式发布到今天.pdf

报告合集目录

报告预览

  • 全部
    • IBM TechXchange 2025嘉宾演讲PPT合集-数据
      • 4139 - Presto C++ 的学习与基准测试.pdf
      • 4243 - 利用企业记录和 FileNet 内容管理器进行可辩护的处置.pdf
      • 4143 - 使用 Apache Cassandra® 处理无限的企业数据工作负载.pdf
      • 4135 - 使用 Velox 和 NVIDIA cuDF 加速 Presto.pdf
      • 3382 - Db2 12.1:为未来的部署和工作负载做好准备.pdf
      • 3254 - 使用 Power 升级到下一代本地分析.pdf
      • 3165 - SQL 应用程序增强.pdf
      • 3161 - 停止痛苦开始虚拟化.pdf
      • 4384 - 佛蒙特信息处理公司使用 DataStage 实现每天 34 万个实例、1500 个作业定义.pdf
      • 4224 - 使用 Apache Iceberg 支持增强 watsonX.data:集成 Presto C++ 和 Gluten 以实现高级分析.pdf
      • 4136 - 使用 Velox、Presto 和 CuDF 加速数据处理.pdf
      • 3255 - 使用 Db2 Bridge、Q Replication 等进行数据迁移策略.pdf
      • 3169 - 龟兔赛跑:释放数据库的全部潜能和速度.pdf
      • 3162 - 保护您的 Db2 for z_OS 环境免受网络攻击.pdf
      • 3142 - 开放数据湖中的 IBM z_OS 数据.pdf
      • 4226 - IBM watsonx.data 中采用 NVIDIA CuDF 实现原生 GPU 加速.pdf
      • 3740 - Apache Gluten 简介.pdf
      • 3296 - 变革数据管理:信诺的创新型档案即服务.pdf
      • 3251 - Db2 SaaS 更新:您的云您的规则.pdf
      • 4225 - 从开源到企业级:利用 Zilliz Cloud 解锁矢量搜索.pdf
      • 4227 - 麸质记忆管理.pdf
      • 4137 - 小组讨论:开放数据湖屋的硬件加速.pdf
      • 4142 - AI 搜索实战:将 Milvus 扩展到十亿级向量.pdf
      • 3739 - Presto 简介:面向数据湖屋的快速 SQL.pdf
      • 3741 - 利用 Apache Gluten 提升 Pinterest 的数据查询性能.pdf
      • 3256 - Db2 pureScale 本地部署和云端部署.pdf
      • 3381 - 将 Db2_Z 迁移到 Db2 pureScale 的真实案例.pdf
      • 3250 - 利用多行处理技术提升 Db2 性能.pdf
      • 3252 - Db2 Warehouse SaaS 更新:关键任务分析、您的云、您的控制.pdf
      • 3213 - 释放 Amazon RDS 的强大功能:Amazon RDS Db2 深度解析.pdf
      • 3247 - 数据库管理员 - DevOps 的无名英雄.pdf
      • 3163 - IBM Db2 查询监视器 - Web 客户端界面研讨会.pdf
      • 3149 - 利用 IBM Z 数据和 AI Optimiser for Z 释放生成式 AI 的强大功能.pdf
      • 3248 - 好事会降临到那些优化自身的人身上.pdf
      • 3152 - Db2 13 for z_OS 安全更新.pdf
      • 3140 - 使用 Db2 13 for z_OS 执行 AI 查询.pdf
      • 2973 - 从混沌到秩序:watsonx.data 的 GenAI Lakehouse 的演进故事.pdf
      • 2858 - 小组讨论:利用 Guardium 实现优化混合云安全.pdf
      • 2801 - 通过 WatsonX 和 DataStax 进行企业问答并提供 RAG 和反馈.pdf
      • 2373 - Informix 无处不在的加密.pdf
      • 2075 - 在 AWS 上使用 IBM Watsonx.data 和 IBM Data Gate 在 RAG 应用程序中使用大型机数据.pdf
      • 1267 - BusyBee 的经验教训:我们从 IBM TechXchange 黑客马拉松中学到了什么.pdf
      • 4464 - 数据准备工具包简介:一个用于LLM的可扩展数据准备的Python框架.pdf
      • 4417 - 缓存为王 - IBM Z 和 DS8 G10 的协同效应.pdf
      • 4249 - 利用数据准备工具包加速LLM的数据工程.pdf
      • 3590 - 使用基于LLM的语义增强将业务上下文应用于表和列.pdf
      • 3249 - 通过 API 实现 Db2 数据访问的策略.pdf
      • 3155 - 从数据到价值:SQL 数据洞察入门.pdf
      • 2974 - Db2 智能中心.pdf
      • 2909 - 面向未来的数据:量子计算时代的量子安全加密.pdf
      • 2802 - 使用 watsonx.data 构建企业代理解决方案.pdf
      • 2425 - 使用 IBM DataStage 实现高效数据集成:成功案例和最佳实践.pdf
      • 2078 年 - IDS 15.0 - 无限且面向未来.pdf
      • 4166 - 生成式人工智能的释放:在企业范围内扩展创新.pdf
      • 3723 - 公共服务创新:基于本地部署人工智能的多语言行政处理案例研究.pdf
      • 3595 - 冠军案例研究综述:现实世界中的创新、协作和优化.pdf
      • 3488 - 解锁资产智能:利用人工智能实现 Maximo Regulator 数据增强自动化.pdf
      • 3358 - 大型机路线图:面向智能体人工智能的未来及其他.pdf
      • 3214 - Amazon RDS for Db2 的新特性.pdf
      • 3159 - CI_CD 专家.pdf
      • 3147 - 可用性和性能:异步系统管理的双工模式和 Db2 for z_OS LOCK1 结构.pdf
      • 2977 - 重新思考数据架构:Netezza BYOC 和原生 COSApache Iceberg 与 REST Catalog.pdf
      • 2971 - 统一数据能力:Netezza Performance Server 和 Open Lakehouse.pdf
      • 2806 - IBM 数据智能代理:如何为企业用例构建 AI 代理.pdf
      • 2798 - 开启未来:watsonx.data 的创新.pdf
      • 3158 - 利用 OpenTelemetry 增强 Db2 for z_OS 应用程序的功能.pdf
      • 2270 - Informix:检测和避免与存储和多节点系统相关的性能问题.pdf
      • 3146 - 如何在数据湖屋环境中处理 z 数据.pdf
      • 2976 - 开源速成课程:将 Kafka、dbt、Airflow 和 Ranger 与 watsonx.data 集成.pdf
      • 3164 - 解放您的时间睡得更好:Db2 for z_OS Agent 如何成为您自主、智能且高效的合作伙伴.pdf
      • 2970 - 利用人工智能提升效率:使用 IBM 内容助手即时查找信息.pdf
      • 3160 - 利用现代仪表板提升 Db2 for z_OS 的可观测性和操作性.pdf
      • 2805 - 最新最全:watsonx.data 智能的最新功能.pdf
      • 3056 - CP4BA 24.0.x 和 25.0.0 的架构和部署最佳实践.pdf
      • 2649 - IBM 数据安全软件战略:在混合云、人工智能和量子计算时代保护数据.pdf
      • 2972 - 产品路线图:Db2 - 新增功能、变更内容和未来展望.pdf
      • 2251 - 将您的 Informix 数据转化为数据产品.pdf
      • 2807 - 解锁所有数据:自动监控结构化和非结构化数据的质量.pdf
      • 2085 - Informix 4GL 期货.pdf
      • 2799 - Db2 与生成式 AI 的结合:AI 助手、向量搜索及其他.pdf
      • 2368 - 从混乱到清晰:通过 IKC 数据治理实现战略价值.pdf
      • 2142 - 下一代 Informix:利用 Kubernetes 和容器实现云原生功能.pdf
      • 3231 - 释放数据智能的力量:将 IGC_IA 现代化为 watsonx.data intelligence.pdf
      • 3230 - 释放 DataStage 的强大功能:将 Information Server DataStage 现代化并集成到 watsonx.data 中.pdf
      • 3225 - 克服部署障碍实现 DataStage DevOps:亨廷顿银行的 MettleCI 转型.pdf
      • 3144 - watsonx Z 助手 – 适用于 Db2 系统程序员和数据库管理员.pdf
      • 2145 - 关于 Informix 和 PFSC(分区可用空间缓存)Boost 的 Onconfig 参数.pdf
      • 1280 - AnyLog 网络 - 将边缘转换为虚拟数据湖.pdf
      • 3141 - 将 AI 融入 Db2 for z_OS.pdf
      • 3063 - 使用灵活、集成的 Cloud Pak for Business Automation 实现您的业务自动化解决方案现代化.pdf
      • 3061 - 智能体人工智能时代的业务自动化.pdf
      • 2196 - 主动式 Informix 管理.pdf
      • 2947 - 学生开发日:以正确的方式构建您的第一代人工智能应用程序(自带设备).pdf
      • 2900 - IBM Fusion – 面向人工智能和容器的现代化基础设施.pdf
      • 2897 - 小组:融合精彩集锦.pdf
      • 2896 - 小组讨论:AI Everywhere - IBM Fusion for AI and for All.pdf
      • 2847 - 智能体人工智能和 IBM i.pdf
      • 2800 - 向量数据库和检索增强生成 (RAG):利用 Milvus 和 WatsonX 为 AI 赋能.pdf
      • 2797 - 您的数据是否已准备好迎接人工智能?利用您的非结构化和结构化数据构建精准的人工智能.pdf
      • 2500 - 利用 watsonx 和 SpeedShotX 解锁万亿美元体育市场.pdf
      • 2123 - 升级 Informix 数据库版本和_或迁移平台.pdf
      • 1335 超越舒适区:高度安全的本地部署和云端 DB2.pdf
      • 1334 种全方位 Db2 数据迁移工具.pdf
      • 1064 - 我的 Db2 for z_OS 专家离开了我需要升级到 Db2 13.pdf
      • 2497 - 与 AWS 合作伙伴解决方案架构师的智力较量.pdf
      • 1914 - 数据库操作 (DbOps).pdf
      • 1274 使用 Python 实现 Db2 自动升级和自动配置.pdf
      • 2411 - 你不知道的事情正在让你付出代价——基于模型的AI+GenAI挖掘未知的未知领域.pdf
      • 2384 - 使用 watsonx.ai 和 watsonx.data 实时构建可用于生产环境的 AI 代理.pdf
      • 2323 - 第三部分之谜 - 人工智能驱动可持续供应链.pdf
      • 2220 - 将 IBM Watson X Assistant 连接到 IBM i_Db2 for i 的实用解决方案和经验教训.pdf
      • 2211 - 利用生成式人工智能和 watsonx.ai 革新公关媒体分析.pdf
      • 2203 - 利用 IBM IMS 和 watsonx.data 优化数据管理以获得更深入的洞察.pdf
      • 2202 - IBM LinuxONE 上的 Db2 如何助力 Sicoob 的数字化转型之旅.pdf
      • 2171 - M&T银行:革新大型机应用程序信息共享.pdf
      • 2087 - 从试点到生产:利用 Dynamiq 加速 Watsonx 企业级智能代理 AI.pdf
      • 2008 年 - 由 Informix 和 Watsonx 提供支持的 Text to SQL Agent.pdf
      • 2000 - 使用新发布的 IBM Informix 15 将 Smartblob 文档外部化.pdf
      • 1959年——默认负责任的人工智能:通过合乎伦理的人工智能治理提升居民的数字体验.pdf
      • 1955年——洛克希德·马丁公司与IBM合作提升制造质量.pdf
      • 1946 年——我们到达了吗?数据重构之旅.pdf
      • 1920 - 重新思考人工智能世界中的内容_文档.pdf
      • 1868 - DB2 实时数据同步:IBM 数据复制在 CP4D 上的优势.pdf
      • 1862 - 云原生数据迁移革命:CP4D 上的 DataStage.pdf
      • 1826 - 释放位置数据的力量:利用已验证的地址数据改造助手、主数据管理 (MDM) 和数据产品.pdf
      • 1782 - 利用人工智能实现服务台现代化——如何达到 98% 的准确率.pdf
      • 1325 - 使用 Sysmaster 数据库管理和优化 IBM Informix 服务器.pdf
      • 1779 - Stena Drilling 的 MAS 升级案例涉及多个远程生产实例实现零停机时间.pdf
      • 1766 - 在中小企业环境中使用 Watson X 和客户端工程部署 AI 代理.pdf
      • 1760 - IBM 数据湖屋具备数据隐私保护功能可实现自动化和加速的报告和合规性.pdf
      • 1759 - Customer 360 提升客户服务.pdf
      • 1733 - 通过数据整合提升公共服务:阿肯色州数据中心计划.pdf
      • 1674 - 在 IBM Cloud Pak for Data 中实现促销管理自动化.pdf
      • 1640 - 人工智能代理的崛起:利用智能自动化重新定义供应链.pdf
      • 1592 - AI 与 IBM 内容助手携手 FileNet.pdf
      • 1587 - 在业务中充分利用 IBM 内容助手 - 消除炒作创造价值.pdf
      • 1525 - 前线自动化:IBM 在下一代执法中的作用.pdf
      • 1523 - 利用 AI 最大程度发挥 Db2 系统的性能——Db2 AI for z_OS 成功案例 @ HUK-COBURG.pdf
      • 1444 - 应用人工智能代理和事件驱动系统打破转型僵局——同时确保安全.pdf
      • 1429 - 可视化您的 Db2 环境.pdf
      • 1416 - 客户旅程:从传统到 WOW!.pdf
      • 1403 - MAS-MAXIMO 应用套件 - 充分利用从 Oracle 数据库迁移到 DB2 数据库的优势及其他.pdf
      • 1394 - 轻松将您的传统 DataStage 平台现代化升级到 Cloud Pak for Data.pdf
      • 1393 - 为您的 DataStage 数据管道提供智能自动化测试和部署.pdf
      • 1390 - Db2 在 Intel Xeon 6 处理器上的性能.pdf
      • 1373 - 利用 VS Code 和混合工具链实现更高的业务敏捷性.pdf
      • 1351 - DIY DB2 管理解决方案.pdf
      • 1319 - 从砖瓦到脑电波——如何让建筑数据智能化.pdf
      • 1129 深入探索 SQL 数据洞察_1756972900866001hytD.pdf.pdf
      • 1313 - Db2 z_OS 13 - 使用配置文件监控_阻止不安全的 TCP_IP 连接.pdf
      • 1271 - 超越 Db2 舒适区:深层性能提升.pdf
      • 1245 - 数据治理之旅:从混乱到清晰.pdf
      • 1210 - 创新数据解决方案:洛克希德·马丁公司与 IBM Cloud Pak 和 Watson Technologies 的合作历程.pdf
      • 1197 - 使用 IBM watsonx.data、IBM watsonx.ai、IBM WCA 和 IBM Fusion 将 AI 从试点扩展到生产.pdf
      • 1175 - 企业级 Db2 工作负载现代化:AWS RDS 迁移和管理最佳实践.pdf
      • 1168 - IBM 通过集成 Db2 查询监视器、SQL Perform、分析器和管理工具实现三重解决方案.pdf
      • 1157 - 小组讨论:IBM FlashSystem 和 SVC 在医疗保健领域的应用 - 确保数十年正常运行的健康存储和 SVC.pdf
      • 1141 - 仅需两周即可上线您的企业人工智能用例 - 保持竞争优势.pdf
      • 1139 - 巴西银行在实施 IBM Db2 Data Gate 以简化和加速现代化方面的经验.pdf
      • 1112 - 大规模 CP4BA 实施的挑战.pdf
      • 1078 - 使用 IBM Business Automation 构建多渠道客户服务解决方案.pdf
      • 1063 - Db2 13 for z_OS - 从正式发布到今天.pdf
请点击导航文件预览
资源包简介:

Db2 13 Migration&Features SurveyFrom GA to TodayIBM TechXchange 2025October 8,2025Paul BartakDistinguished EngineerRocket S Rocket presentation disclaimerTHE INFORMATION CONTAINED IN THIS PRESENTATION IS PROVIDED FOR INFORMATIONAL PURPOSES ONLY.WHILE EFFORTS WERE MADE TO VERIFY THE COMPLETENESS AND ACCURACY OF THE INFORMATION CONTAINED IN THIS PRESENTATION,IT IS PROVIDED“AS IS”WITHOUT WARRANTY OF ANY KIND,EXPRESS OR IMPLIED.IN ADDITION,THIS INFORMATION IS BASED ON ROCKETS CURRENT PRODUCT POrlando,FLOctober 69IBM TechXchange 2025Explore.Build.Launch.Session 1078Architecting a Multi-Channel Customer Service Solution with IBM Business AutomationThere is NO RIGHT ANSWERDISCLAIMERPart Real-World,Part AspirationalWhat is“easy”and what is“hard”Today is about kernels of knowledgeOne size does not fit all Complexity of Needs Customer Base Volume Budget GoalsThis presentation is for informational purposes only.The speakers appearing at presentation are solely responsible for the contenOrlando,FLOctober 69IBM TechXchange2025Session code:1112The Challenges of a(very)large CP4BA implementationRonald HeeremaDutch Tax Office,ArchitectThe Challenges of a(very)large CP4BA implementationAgenda010203040506Outline environmentGlobal solutionChallenge 1 Record managementChallenge 2 Multi contextChallenge 3 Content vs ProcessOther challengesIBM TechXchange|2025 IBM CorporationOutline environmentOutline environmentIBM TechXchange|2025 IBM Corporation3IngestIngest30+M30+MDocuments added/dayOrlando,FLOctober 69IBM TechXchange 2025Alessandro SchneiderAlessandro Schneider,Banco do Brasil,Data&AI Infrastructure Engineer,Gustavo BotelhoGustavo Botelho,Banco do Brasil,AI and Quantum EngineerZalkind LincolnZalkind Lincoln,IBM,Account Technical Leader(ATL)1139-Banco do Brasil experiencesimplementing IBM Db2 Data Gate tosimplify and accelerate modernizationAgenda1.Introduction2.Installation and Provisioning3.Requirements Installation on the Mainframe4.Replication and Loads5.Next ChalleIBM TechXchange 2025 conference Session 1141Go Live with Your Business AI Use Case in Just Two Weeks Stay Ahead of the CompetitionIBM TechXchange|2025 IBM Corporation#IBMTechXchangeHenri Cujass CTO&Informix Senior Consultant,leolo ITleoloAPEXAI FrameworkAI Business Use Cases Made SimpleYour data is useless until AI turns it intovalue.“Your data is useless until AI turns it intovalue.“Your usecase delivered in 2 weeks.Your usecase delivered in 2 weeks.AI models directly from your datalake BOrlando,FLOctober 69IBM TechXchange 2025IBM FlashSystem and SVC in Healthcare Healthy Storage with SVC for decades of uptime.Session code 1157 Barry Whyte Principal Storage Technical Specialist IBM Master Inventor Maik Zutz Lead Expert Storage&Data Management BITMARCK GmbHDale Foster Senior Technology Lead-Storage Health New Zealand Marcus Knig Managing Director&Advanced Technical Specialist Systemethix Limited,NZOrlando,FL October 69IBM TechXchange 2025Part 1 Introduction3IBM Research-1Sponsored byData Technical Summit IBM TechXchange 2025Session code 1168Session code 1168Tom GlaserTom GlaserRocket SoftwareRocket SoftwareIBM hits a Grand Slam by integrating Db2 Query Monitor,SQL Performance Analyzer,Log Analysis Tool and the Admin Tool.Notices and disclaimersIBM,the IBM logo,and are trademarks of International Business Machines Corporation,registered in many jurisdictions worldwide.Other product and service names might be trademarks of IBM or other companies.A current list of Orlando,FLOctober 69IBM TechXchange 2025Session ID:1175Javeed MohammedSenior Database Solutions Architect,AWSRajib SarkarSenior Database Engineer,AWSModernizing Enterprise Db2 Modernizing Enterprise Db2 Workloads:Best Practices for AWS Workloads:Best Practices for AWS RDS Migration and ManagementRDS Migration and ManagementAgenda010203Overview of Amazon RDS for Db2 Modernizing to Amazon RDS for Db2Migration Tools and Best PracticesIBM TechXchange|2025 IBM CorporationAmazon RDSManaged relational 1197-Scaling AI from pilot to production with IBM watsonx.data,IBM watsonx.ai,IBM WCA and IBM FusionTuesday,Oct 7 2:00 PM Tuesday,Oct 7 2:00 PM-3:00 PM EDT3:00 PM EDTS320D,Level 3,OCCC SouthS320D,Level 3,OCCC SouthYoussef LargouYoussef LargouCEO Power MarocIBM Champion and IBM Redbooks Platinum AuthorWalid LargouWalid LargouCTO Power MarocIBM ChampionAgenda2PowerM profileProject OverviewBuilding Blocks for Scaling AI:From Experiment to ProductionFusion Hyperconverged Infrastructure(HCI)Accelerat 2025 Lockheed Martin Corporation.All Rights Reserved.IBM TechXchange 2025Orlando,FL October 7,2025Krishna Kamisetty,FellowDr.Stephan Gerali,Senior FellowLockheed Martin Data and Artificial Intelligence EnablementSession 1210 Innovative Data Solutions:Lockheed Martins Journey with IBM Cloud Pak and Watsonx TechnologiesCUI/Lockheed Martin Proprietary Information 2025 Lockheed Martin Corporation.All Rights Reserved.2Lockheed Martin OverviewData Context&ChallengeLockheed Martin Enterprise Data Orlando,FLOctober 69IBM TechXchange 2025NJ CourtsNJ CourtsNavigating the Data Governance Journey Navigating the Data Governance Journey From Chaos to ClarityFrom Chaos to Clarity1245Kristin RangelNJ Courts,Senior Project ManagerData,Governance,Warehousing&Master DataUma ThurumellaNJ Courts,Project ManagerGovernance,Warehousing&Master DataWhat is Data Chaos?What is Data Chaos?Compliance&privacy risksIBM TechXchange|2025 IBM Corporation2Data AccuracySiloed systemsLimited trust in reporOrlando,FLOctober 69IBM TechXchange 2025Session code:12711271Nemi AgrawalCEO&Director,Raindrops IncBeyond Db2 Comfort Zone:Beyond Db2 Comfort Zone:Deep down Performance Deep down Performance EnhancementEnhancementAgendaOverviewOverviewDb2 Performance Db2 Performance-SystemSystemDb2 Performance Db2 Performance-Db2MonDb2MonDb2 Performance Db2 Performance Mon Get TablesMon Get TablesIBM TechXchange|2025 IBM CorporationNemi Agrawal,Director,Data Infinity Work Experience since 1991 Department of Orlando,FLOctober 69IBM TechXchange 2025Session 1313Scott Walker,Navy Federal Credit UnionGaya Chandran,IBMDb2 z/OS 13 Db2 z/OS 13-using profiles to using profiles to monitor/block unsecure TCPIP monitor/block unsecure TCPIP connectivityconnectivityNotices and disclaimersIBM,the IBM logo,and are trademarks of International Business Machines Corporation,registered in many jurisdictions worldwide.Other product and service names might be trademarks of IBM or other companies.A current list of IBM trFrom Bricks to BrainwavesKatarina Gospic,MSc,MD,PhD Co-founder EdsvrdPhoneEverything radiates dataContract management The more info the less attentionEveryday challengesConsequencesUnused data 90%-inefficiency;increased costs;reduced qualityUnstructured&inaccessible dataTime-consuming information gatheringProcesses&working methodsContract Intelligence-Post executionContract insightsReads and interprets contractsStatus&analysisConsolidation&deep analysisSafe hosting in ScandinaviaSteve Loesch,Navy Federal Credit UnionDIY Db2 z/OS SolutionsSession Code:1351Db2 z/OSAGENDAAGENDADIY Db2 solutionsAutomating DB2 UtilitiesStabilizing Access Paths for Dynamic SQL Statements Catalog SQLManaging New Db2 FeaturesQuestionsPensacola,Florida Blue Angels in JulyNavy Federal Credit Union DisclaimerNavy Federal Credit Union DisclaimerThe information contained in this presentation is distributed AS IS.The information contained in this presentation is distributed AS IS.The use of this infoIBM TechXchange|2025 IBM Corporation1#IBMTechXchangeIBM TechXchange 2025 conference Achieving Greater Business Agility with VS Code and Hybrid ToolchainsCertain information in this presentation may outline Broadcoms general product direction.This presentation shall not serve to(i)affect the rights and/or obligations of Broadcom or its licensees under any existing or future license agreement or services agreement relating to any Broadcom software product;or(ii)amend any product documentation or sDb2 performance on Intel Xeon 6 processorsSession#1390IBM TechXchange|2025 IBM Corporation1#IBMTechXchangeVenkatesh GopalVenkatesh GopalSTSMIBM Murali MadhanagopalMurali MadhanagopalSoftware Architect Intel Agenda010203040506DB2 Offerings on IBM CloudDb2 SaaSDb2 Warehouse SaaSIntel Xeon on IBM CloudIBM Db2 BDI PerformancePromotions and Resources IBM TechXchange|2025 IBM CorporationWhat you will learn in this session:IBM Db2 /2025 IBM CorporationDb2 for low latency applicationsIBM Db2 is the one IBM TechXchange 2025 conference 1393-Smart automated tests and deployment for your DataStage data pipelineIBM TechXchange|2025 Data Migrators1#IBMTechXchangeDevOps for Cloud Pak DataStage NextGenTable of ContentsWhy test?Agenda&what you will learnYeahBig text&quote Text basedText&imageScreenshotsCharts&data Ending31723273146586498IBM TechXchange|2025 Data Migrators2You will learn how to use Cloud Pak DataStages capabilities to automatically.0102030405Build unit testsFabricate tesIBM TechXchange 2025 conference 1394-Effortlessly modernize your legacy DataStage platform to CP4DIBM TechXchange|2025 IBM Corporation1#IBMTechXchangeWhat well cover:Scope(diagrams)Concerns(2 page)Options(big bang vs progressive)Tools Report Card S2PX Major ideas Concerns-DEMO STARTS HERE-Workbench Compliance Unit Testing Git Interface Pipelines Cloud Pak verification Import results Unit test execution resultsQuestionsModernisationIBM TechXchange|2025 IBM Corporation2Table of ContentsConcerns&amOrlando,FLOctober 69IBM TechXchange 2025Session code:1403MAS-MAXIMO Application Suite-Taking the advantage of Migrating from Oracle to BD2&moreLuis Fernando OliveiraLuis Fernando OliveiraDiamante Energia,CIOCarlos Eduardo LarotondaCarlos Eduardo LarotondaIT Consol,DirectorIBM TechXchange2025 conferenceAgenda0102030405060708Corporate VideoProject OverviewMigration StrategyKey BenefitsCost ComparisonAnnual Infrastructure CostHighlights&ResultsWhy,how,time&lessons learned IBM TechXchangSteven Wolk,CTOSWolkPCREmbracing Change:A Customers Journey fromLegacy to !WOWIBM TechXchange 2025Session 1416We want what we cant haveAppCordovajQuery MobileIBM i on Power 9ApachePHPAppDMZCordovajQuery MobileLinux2FA&Push NotificationsIBM i on Power 9ApachePHPAppDMZProdIBM i on Power 9ApachePHPRPG CGIRPGDb2(with CLOBs)CordovajQuery MobileLinux2FA&Push NotificationsTwo more considerationsDeploymentSecurityDont go it aloneThink like a Think like a BusinesspersonBusinesspersonPlan strategiOrlando,FLOctober 69IBM TechXchange 2025#1429Tom CrockerRocket Software1429-Visualizing Your Db2 EnvironmentAgenda0102030405Why VisualisationDb2 and Db2 Tools dataData Streamed by Db2 ToolsDelivery MethodExamplesIBM TechXchange|2025 IBM CorporationDb2 Tools are great but every tool has its own scope3IBM TechXchange|2025 IBM Corporation1500+metricsDb2 for Db2 for z/OSz/OSConsole Console MessagesMessagesTraces Traces Db2 LogsDb2 LogsControl Control BlocksBlocksRealtime Realtime StatsStatsUtility UApply AI Agents and Event-Driven Systems to Break Transformation LogjamsIBM TechXchange 2025User ExpectationsThe Near Impossibility of Achieving Digital Transformation Goals2Digital TransformationHybrid CloudAI RequirementsPubNub Confidential 20253A bit of backgroundCo-Founder&CEO of PubNub(since 2012)Vision:Dramatically simplify what it takes to build secure,scalable,real-time apps across all industries.What we created:a global network and developer platform for delivering event-driven appsOrlando,FLOctober 69IBM TechXchange 2025Session code(1523)A Db2 AI for z/OS success story HUKA Db2 AI for z/OS success story HUK-COBURGCOBURGAlexander Wollheim&Marius HaagAlexander Wollheim&Marius HaagHUK-COBURG,DB/DC System ProgrammerThomas KrausThomas KrausIBM Deutschland GmbH,IT ArchitectGet the most out of your Db2 system with AIAsk AI-what does it tell you?A person standing in front of a computerAdd Db2 z/OSDraw a picture of AI,a mainframe and a human person interactingIBM TechXchanAUTOMATION AT THE FRONTLINE:IBMS ROLE IN NEXT-GEN LAW ENFORCEMENTDriving Modern Policing Through Smarter AutomationConnecting Systems,Empowering Officers:IBM Integration in Action at the Missouri Highway PatrolSession 1525Todd Schneider&Tyler VaughtMissouri State Highway PatrolTHE NERVOUS SYSTEM OF MODERN LAW ENFORCEMENT Systems move from isolated“islands”to a unified,reliable data network AI watches traffic patterns and flags anomalies in real time.Automation suggests,humans decide speed IBM TechXchange 2025 conference 1587 Take Advantage of IBM Content Assistant in the business Remove Hype Add ValueMike PrenticePyramid SolutionsIBM TechXchange|2025 IBM Corporation1#IBMTechXchangeOrlando,FLOctober 69IBM TechXchange 20251587Take Advantage of IBM Content Assistant in Business Remove Hype Add ValueMike PrenticePyramid Solutions,VP of Innovation&SolutionsAgenda0102030405IntroductionHow to get a Use CaseIBM Does RAGWhats NextDemoIBM TechXchange|2025 IBM CorporationWhy are you her enChoice Inc.Confidential.Session 1592:AI Meets FileNet with IBM Content AssistantRay Howe,Auto-Owners Insurance&Ryan Dennings,enChoiceIBM TechXchange 2025 enChoice|Confidential 2Our Presenters TodayRyan DenningsPrincipal ConsultantenChoiceRay HoweECM Manager Auto-Owners Insurance enChoice|Confidential 3Agenda Introductions Data/AI Readiness Technology Overview enChoice AI Enabler for FileNet IBM Content Assistant Auto-Owners Insurance Use Case Demo Summary of Successful Project Q&AMeetIBM TechXchange 2025 conferenceIBM TechXchange|2025 IBM Corporation1#IBMTechXchangeOctober 6-9,2025Session 1640:The Rise of AI Agents:Redefining Supply Session 1640:The Rise of AI Agents:Redefining Supply Chain with Intelligent AutomationChain with Intelligent AutomationSankarasubbu Arunachalam,Infosys Ltd.,Sankarasubbu Arunachalam,Infosys Ltd.,Priya Vasudevan,IBMPriya Vasudevan,IBMTable of ContentsImpact of Agentic AI on Supply chainAdvent of Agentic AIAgentic AI UsecasesIBM Products overviewDeOrlando,FLOctober 69IBM TechXchange 2025Session code 1674Automating Promotion Management in IBM Cloud Pak for DataTaylor RobbinsKiley KroskyLockheed MartinLM DataOpsIntrosTaylor RobbinsLM DataOpsManager/Scope LeadKiley KroskyLead Data Engineer LM DataOpsLisa Amini IBM Research Director,Data&AI PlatformsIBM TechXchange|2Agenda010203040506Lockheed Martin IntroDataOps Intro The Aero DataOps Journey LM Architecture Automating CP4D Promotion DataOps FutureIBM TechXchange Lockheed Martin Overview Session Code 1733Enhancing Public Services through Data Integration:The Arkansas Data Hub InitiativeMatthew SparksTechnology Manager,State of ArkansasDepartment of Shared Administrative ServicesAgenda1.Why the Arkansas Data Hub Was Created2.System Architecture Overview3.Data Sharing&Quality4.Data Governance&Security5.Master Data Management6.Reference Data Management7.AI&Analytics8.Enterprise Automation9.Use Case Deep Dive(Launch for Students)10.Demo11.Q&AWhy the Arkansas Data HubIBM TechXchange 2025 conference 1759 Customer 360 for improved customer service Jevon McIntoshVP IT&Innovation,Commonwealth Bank Ltd.Bala VaithyalingamGlobal Leader for Data&AI,IBMIBM TechXchange|2025 IBM Corporation1#IBMTechXchangeAgenda010203040506Business Background Business Initiatives/Problem StatementSolution Approach Customer 360 Solution Deep DiveSolution Benefits Q&AIBM TechXchange|2025 IBM CorporationWe have proudly operated in the Bahamas for+65 years,building deep roots iIBM TechXchange 2025 conference 1760 IBM Data Lakehouse with data privacy for automated and accelerated reporting and compliance Richard SandsSr.Manager,Solution Delivery&Engineering,Commonwealth Bank Ltd.Bala VaithyalingamGlobal Leader for Data&AI,IBMIBM TechXchange|2025 IBM Corporation1#IBMTechXchangeAgenda010203040506Business backgroundBusiness Initiatives/Problem Statement Solution OverviewWatsonx.data Deep diveSolution Benefits Q&AIBM TechXchange|2025 IBM CorporationWe have prouOrlando,FLOctober 69IBM TechXchange 2025Session code:1766Alan Stuart,Technical Advisor to TrilliCom CTOClaude Rheaume,Chief Architect/CTO,TrilliComSerena Bellesi,Ph.D.Principal AI Engineer&Quantum Ambassador,IBMTechnology Breakout:Deploying AI Agents in a SmallDeploying AI Agents in a Small-Medium Enterprise Medium Enterprise environment with watsonx and IBM Client Engineeringenvironment with watsonx and IBM Client EngineeringAgendaIBM TechXchange|2025 IBM Corporation01 Introduction02 Why PaOrlando,FLOctober 69IBM TechXchange 20251779Witold WierzchowskiSenior Manager,Solution ArchitectureStas ShvetsovSenior Manager,HostingCohesiveStena Drilling story of MAS upgrade with multiple remote production instances and zero downtimeTable of ContentsProblem statementIntroductionsCDR and CDU toolingDatabase upgrade&conversionTarget architectureIntermediate architecture with CDUGo-live&cutover to MASChallenges along the way.Post go-live optimizationIBM TechXchange|2025 IBM Corporation2Orlando,FLOctober 69IBM TechXchange 2025Tihomir MarkulinCARNET,Deputy CEOJelena kalecIBM Croatia,Data&AI Technical Sales 1782-Helpdesk modernization with AI ow to achieve 98%accuracyAgenda010203040506About CARNETHow it all startedPilot OverviewResultsDemoTO BEIBM TechXchange|2025 IBM CorporationIBM TechXchange|2025 IBM Corporation3How it all started2021.pilot for Chatbot-Chatbot for domene.hr-Administration-Registration-Questions about free and paid domains2 000+schools43 000+teachers?ParentOrlando,FLOctober 69IBM TechXchange 2025Dayo NelsonIBM,Product Manager,Data&AIJason LeibyIBM,WW Data&AI Technical SpecialistRobert DicksonLoqate,VP of Professional Services Session Code 1826Unlock the Power of Location Data:Transforming Assistant,MDM,and Data Products with Verified Address Data IBM TechXchange|2025 IBM CorporationWhat you will learn in this session is how toAssess impact of location intelligence dataOptimize your MDM strategy Empower your agentic AI assistants Enable infOrlando,FLOctober 69IBM TechXchange 2025Session code(1862)Ravi IndurtiLockheed Martin,LM FellowMohan BachalLockheed Martin,LM Associate FellowCloud-Native Data Migration RevolutionizedDataStage on Cloud Pak for Data(CP4D)IBMTechXchange|2025 IBM CorporationIBM TechXchange|2025 IBM Corporation2 Agenda CP4D A Unified Environment DataStage Next Gen Data Integration Why DataStage?DataStage Features Dataflows Look-Ahead Benefits Summary Q&AAgendaCloud Pak 4 DataIBM TechXchange|2025 IBM CorporationOrlando,FLOctober 69IBM TechXchange 2025Session code(1868)Mohan BachalLockheed Martin,LM Associate FellowRavi IndurtiLockheed Martin,LM FellowReal-Time Data Synchronization for DB2The Benefits of IBM Data Replication on Cloud Pack for Data(CP4D)AgendaIBM TechXchange|2025 IBM Corporation2Intro&Technical DriversData Replication in CP4DAlternatives&ChallengesKey Pillars of Data ReplicationSummaryQ&A2Intro&Technical Drivers3IBM TechXchange|2025 IBM CorporationIntroductionData ReplicaOrlando,FLOctober 69IBM TechXchange 2025Session:1920Anna DavisAnna DavisPrudential,VP&Product OwnerTim PascarellaTim PascarellaIBM,Senior AI Productivity Technical SpecialistRethinking Content in an AI WorldWhat will you Learn!What will you Learn!Migrated 295TB+of documents295TB+of documents across IBM CM8,OpenText Documentum,and legacy content management platforms,impacting 45+business applications45+business applications.Leveraged AI tools like Content AssistantContent Assistant and IntellAre We There Yet?The Data Refactoring Journey 1946A Premier IBM Business PartnerAgenda2IntroductionCase StudiesA Tale of Two IMS ICDC ImplementationsKafka digressionReplatforming for GrowthSimpler is BetterTwo Birds,One StoneRoadmaps and ResourcesSummary and QuestionsIntroduction The Fillmore Group,Inc.Founded in the US in Maryland,1987IBM Business Partner since 1989Delivering IBM authorized education since 1994IBM Gold Consultants since 1998IBM Champions since 20093A Tale of Two CDC for IMS ImpOrlando,FLOctober 69IBM TechXchange 2025Session code 1955Aju JacobBryan MassieLockheed Martin Data ArchitectsManufacturing Quality at Lockheed Martin 2025 Lockheed Martin Corporation.All Rights ReservedWhat you will learn in this session01020304Lockheed MartinOEE QualityIBM IntegrationThe FutureIBM TechXchange|2025 IBM Corporation 2025 Lockheed Martin Corporation.All Rights ReservedLockheed Martin ProductsIBM TechXchange|2025 IBM Corporation3 2025 Lockheed Martin Corporation.All Rights ReservedIIBM TechXchange 2025 conference 1959 Responsible AI by Default:1959 Responsible AI by Default:Enhancing Resident Digital Experiences with Ethical AI GovernanceSai KuchakullaCity Of Austin IT ManagerAmita RajagopalanCity Of Austin IT Service OwnerManeeza KalimCity of Austin IT Software EngineerBala VaithyalingamIBM Global Leader for Data and AIIBM TechXchange|2025 IBM Corporation1#IBMTechXchangeAgenda010203040506Problem StatementTexas AI RegulationsResponsible AI:Program&TechnologyPilot ApproOrlando,FLOctober 69IBM TechXchange 202520002000Externalize smartblob documents using IBM Informix 15Vicente SalvadorDEISTER S.A.Externalize smartblobdocuments using IBM Informix 15What you will learn in this session0102030405SmartblobsExternal smartblobsReal case migrationHigh availability ESBExtended track:internalsIBM TechXchange|2025 IBM CorporationWhat you will learn in this session0102030405SmartblobsExternal smartblobsReal case migrationHigh availability ESBExtended track:internalsIBM TecOrlando,FLOctober 69IBM TechXchange 202520082008Text to SQL Agent powered by Informix and WatsonxXavi EscotAirtool,Tech LeadText to SQL Agent powered by Informix and WatsonxIBM TechXchange|2025 IBM CorporationWhat you will learn in this session0102030405OpeningThe ChallengeAirtools FoundationExample ScenarioThe Bigger PictureIBM TechXchange|2025 IBM CorporationWhat you will learn in this session0102030405OpeningThe ChallengeAirtools FoundationExample ScenarioThe Bigger PictureIBM TechXchange|202From Pilot to ProductionAccelerating watsonx xAgentic AI with DynamiqPawel SobczakVP PartnershipsDynamiq TechnologiesOrlando,FL October 6-9#2087IBM TechXchange 2025Explore.Build.Launch.AI AgentAI AgentLLMthe reasoning engineContextmemory and knowledgeToolscapabilities2The 3-body problem in AI Accuracy Latency Cost3Pilot-finding the right balance The right LLM,tool,vector store Traces,evaluations,observability 1-click deployments and version control SaaS vs.on-premisesEasier and faster prototypinOrlando,FLOctober 69IBM TechXchange 2025Timothy AndersonTimothy AndersonSoftware Engineer IVSenior Vice PresidentSankar Sankar DhandapaniDhandapaniSoftware Engineer IIIVice PresidentMythili VenkatakrishnanMythili VenkatakrishnanDistinguished Engineer,IBMIBM Z FSS CTO2171 2171-M&T Bank:M&T Bank:Revolutionizing Mainframe Revolutionizing Mainframe Application Information SharingApplication Information SharingAgendaIntroduction to M&T BankIntroduction to IBM zDIHM&T Bank use of IBM zOrlando,FLOctober 69IBM TechXchange 2025Session code(2202)Session code(2202)How Db2 on IBM How Db2 on IBM LinuxONELinuxONE has supported Sicoob in its digital Journeyhas supported Sicoob in its digital JourneyEuler MoraesEuler MoraesSicoob,Data Infrastructure CoordinatorRicardo ViannaRicardo ViannaIBM,Senior Data and AI Technical SpecialistData,IBM Z&LinuxONEAgenda01010203040506About SicoobAbout SicoobModernizing to scaleWhy Db2Why LinuxONEInfrastructure overviewChallenges&Lessons LearneOrlando,FLOctober 69IBM TechXchange 2025Optimizing Data Management with IBM IMS and watsonx.data for Enhanced InsightsSession Code 2203Nitin ChavanSenior Director-IBM&Red Hat Hybrid Cloud COECVineet DumirSenior Solution Architect AI on IBM ZIBM Systems Development LAgenda01020304050607The Banks RealityThe Real PainThe Turning PointThe Transformation JourneyThe Architecture ViewThe Outcomes for the BankClosingIBM TechXchange|2025 IBM CorporationOrlando,FLOctober 69IBM TechXchange 2025The BankOrlando,FLOctober 69IBM TechXchange 20252211Transforming PR Media Analysis with Generative AI and watsonx.aiDora Rategorac Dora DoljaninHNB,Associate IBM,AI EngineerTransforming PR Media Transforming PR Media Analysis with Analysis with Generative AI:Generative AI:Smarter Search,Deeper InsightsAgenda010203040506Client BackgroundMain ChallengesProject ScopeMethodologyDemoBenefits&OutcomesIBM TechXchange|2025 IBM CorporationWhy this project?Utilize the power of Generative AIto bring tangible vOrlando,FLOctober 69IBM TechXchange 20252862Supercharging IBM Supercharging IBM i i App Developers with IBM App Developers with IBM next generation of code assistantnext generation of code assistantSteve WillIBM,IBM i CTO&Chief ArchitectSupercharging IBM i App Developers with IBM next generation of code assistantAgenda0102030406IBM i Code Assistant RequirementsCode Assistant Evolution in the IndustryThe Supercharged Code AssistantWhats Next IBM TechXchange|2025 IBM CorporationAgenda010203040Orlando,FLOctober 69IBM TechXchange 2025Session code 2323Ryan Hilimoniuk,Technical Projects Manager,Rel8ed AnalyticsMumtaz Mesania,Senior UX Researcher,IBMScope 3 Mysteries:AI powers the Sustainable Supply ChainAgenda:Solving a Mystery010203040506Intro:Why Scope 3?Scope 3 ChallengeScope 3 MysteryScope 3 SolutionsDemoQ&A and ClosingIBM TechXchange|2025 IBM CorporationAbout Rel8ed-a Data Engine for Global SME InsightsIBM TechXchange|2025 IBM Corporation3Rel8ed Data and ProcessRel8ed processes Orlando,FLOctober 69IBM TechXchange 2025Session code(ID number):2384From Data to Decisions:Live-Building a Production-Ready AI AgentChristopher Aike,Americas Tax AI leader,EYVenkat Venkatesan,Tax Technology&Transformation,EYFrom Data to Decisions:Live-Building a Production-Ready AI AgentAgenda010203040506Objectiveswatsonx stack for agentsProblem StatementBuild the AgentLeading PracticesQ&AIBM TechXchange|2025 IBM Corporation“If your Agent cant chain,call,or governits not production,its Orlando,FLOctober 69IBM TechXchange 2025Session code 2411What You Dont know is Costing you Model-based AI+GenAI to tap into the Unknown UnkownsJuan Hurtador-daniel,CRO/Co-founderwhat you dont know,is costing youAgenda01020304AI FrameworkHybrid AI+Augmented AIApplication for use caseLive DemoIBM TechXchange|2025 IBM Corporationwhat you dont knowis costing youIBM TechXchange|2025 IBM Corporation34IBM TechXchange|2025 IBM CorporationPreventing customer churn increases revenue more than 5%Under and Orlando,FLOctober 69IBM TechXchange 2025Session 2497Intellectual knife fighting:A technical panel discussion with AWS Partner Solutions ArchitectsRyan NikschRyan NikschAWS,Principal Partner Solutions ArchitectEduardo Monich FronzaEduardo Monich FronzaAWS,Sr,Partner Solutions ArchitectSteve MirmanSteve MirmanAWS,Sr.Partner Solutions Architect2IBM TechXchange|2024 IBM CorporationIntroducing the Panel3Market dynamics and sentiments are shifting98%of executives see the cloud as a critical factor in Scan,Snap,Type,Swipe&ScrollSpeedShotX2SpeedShotX makes every fan moment unforgettable while maximizing sponsorship value.Ganesh HarinathFounder&CEO Fiducia|AI,Inc.SpeedShotXOn-Demand is the Only OptionSports is a trillion-dollar industry driven by sponsors.Fiducia personalizes fan engagement before,during,and after the event,helping brands stand out and boost sponsorship value throughout the fan journey.For Gen Z and Gen Alpha,the phone is the first screen and the primary gateway to thei2797 Is Your Data AI2797 Is Your Data AI-ready?ready?Build Accurate AI with your Build Accurate AI with your Unstructured and Structured DataUnstructured and Structured DataEdward Calvesbert,Vice President,Product Management,IBM watsonx.dataIBM TechXchange|2025 IBM Corporation1#IBMTechXchangeAI is changing the businessIBM TechXchange|2025 IBM Corporation2How AI is changing the businessIBM TechXchange|2025 IBM Corporation3Ferrari Ferrari launched a next-generation,AIAI-powered powered fan engagem 2025 IBM Corporation1Dale McInnisIBM,Principal Data&AI Technical SpecialistAn Introduction to Vectors with Db2,Milvus and watsonx.data 2025 IBM Corporation2What are Vector databases?It is a database designed to store,manage,and search vector data,allowing for highly efficient and fast similarity searches With an image or audio search,data with similar characteristics to a vector can be retrieved quicklyWhats the difference between a Whats the difference between a Vector DB vs Regular DB?VecOrlando,FLOctober 69IBM TechXchange 2025Explore.Build.Launch.Jesse GorzinskiSenior Business Architect,IBM Ashish ThomasSoftware Development Engineer,PC RichardSession 2847Agentic AI and IBM iAI that can AI that can generate for yougenerate for youModelsModelsNext Token PredictionText GenerationPattern matchingAI that can AI that can chat for youchat for youAI that can AI that can do for youdo for youAssistantsAssistantsPowered by single customized LLMAgentsAgentsPowered by Think-Act-Observe loopIBM TechXchange 2025 conference 2896AI Everywhere IBM Fusion for AI and for AllAlbert HoIBM IBM TechXchange|2025 IBM Corporation1#IBMTechXchangeNotices and disclaimersIBM,the IBM logo,and are trademarks of International Business Machines Corporation,registered in many jurisdictions worldwide.Other product and service names might be trademarks of IBM or other companies.A current list of IBM trademarks is available on the Web at“Copyright and trademark information”at: comments made in this preseIBM TechXchange 2025 conference 2897Fusion Highlight ReelsPete BreyIBM IBM TechXchange|2025 IBM Corporation1#IBMTechXchangeNotices and disclaimersIBM,the IBM logo,and are trademarks of International Business Machines Corporation,registered in many jurisdictions worldwide.Other product and service names might be trademarks of IBM or other companies.A current list of IBM trademarks is available on the Web at“Copyright and trademark information”at: comments made in this presentation may be characOrlando,FLOctober 69IBM TechXchange 20254479 AI Data EngineFrank LeeIBM StorageAI Data EngineAgenda010102More flexible deploymentsFueling AI FactoryFueling AI FactoryEnabling AI InferenceIBM TechXchange|2025 IBM CorporationCompute PodCompute Pod4 Scalable Units128 Compute Nodes1024 H100 GPUs82 TB of GPU Ram12,288 Physical Cores256 TB of RAM3481 TB NVME Local StorageScalable UnitScalable Unit32 Compute Nodes256 H100 GPUsIBM Blue VelaModular Deployment UnitsIBMs Purpose-Built Storage Solution for Orlando,FLOctober 69IBM TechXchange 2025Session 2947Tenzin Migmar,Faranak Heidari,Daniel RudnitskiData Scientist,AI Developer,Software DeveloperIBM Skills NetworkBuild your first GenAI application the right way1Agenda010203Key Concept OverviewHands-On LabTakeawaysIBM TechXchange|2025 IBM Corporation2What you will learn in this session010203040506Introduction to LLMsVariety of ModelsCommunicating with ModelsSimplifying with LangChainImportance of JSON OutputLeveraging JSON OutputsIBM TechXchange|Orlando,FLOctober 69IBM TechXchange 2025Session 3061The Evolution of IBM Business AutomationMatt WartaDirector Product ManagementIBM Business AutomationBusiness Automation in the Era of Agentic AIWhat you will learn in this session01020304Why AI Agents&Business AutomationIBM Business Automation StrategyBusiness Automation as an Agentic Platform How You can Shape the Future IBM TechXchange|2025 IBM CorporationIBM TechXchange|2025 IBM Corporation3higher quality higher quality in work completedOrlando,FLOctober 69IBM TechXchange 2025Session:3063Bill LawtonIBMProgram Director,Business Automation Cross-portfolio Product ManagerModernize your business automation solutions with Cloud Pak for Business AutomationWhat you will learn in this session010203How AI Agents are changing how you automate Advantages of Cloud Pak for Business AutomationInnovation RoadmapIBM TechXchange|2025 IBM CorporationImportant NoticeIBM TechXchange|2025 IBM Corporation3IBMs statements regarding its plans,directioSponsored byData Technical Summit IBM TechXchange 2025Infusing Db2 for z/OS with AI3141Infusing Db2 for z/OS with AIArtem Minin,Technical Specialist,WSCJohn Goodyear,Technical Specialist,WSCAgenda0102Db2 AI for z/OS OverviewTechZone Lab EnvironmentIBM TechXchange|2025 IBM CorporationWhat is Db2 AI for z/OS?2025 IBM Corporation 3Db2 AI for z/OS FeaturesSQL OptimizationSQL OptimizationEmpower the optimizer in your Db2 for z/OS engine to determine the bestperforming query access paths with performaSponsored byData Technical Summit IBM TechXchange 2025watsonx Assistant for Z for Db2 Systems Programmers and DBAsNotices and disclaimersIBM,the IBM logo,and are trademarks of International Business Machines Corporation,registered in many jurisdictions worldwide.Other product and service names might be trademarks of IBM or other companies.A current list of IBM trademarks is available on the Web at“Copyright and trademark information”at: comments made in this presentation may be characterized aOrlando,FLOctober 69IBM TechXchange 20253225Overcoming Deployment Hurdles to Achieve DataStage DevOps Huntington Banks MettleCI TransformationKeith CaldwellHuntington,Senior IT Service Delivery ManagerAchieve DataStage DevOpsHuntington Banks MettleCI TransformationBefore we start,lets warm up your brain.2IBM TechXchange|2025 IBM Corporation“I frame the endless yet hold nothing at all.I am fragile,yet I guard you.I am seen through but rarely seen.I am a threshold you cannot cross.”IBM TechXchanOrlando,FLOctober 69IBM TechXchange 2025Akram AbdouchWW Delivery Practice LeadIBM Technology Expert Labs3230-Modernizing Information Server DataStage to watsonx.data IntegrationAgenda0102030405DataStage ModernizationAssessment Process&OutcomesModernization ApproachModernization Standard PracticesQ&AIBM TechXchange|2025 IBM CorporationIBM Information Server DataStage An Overview(Current)Server JobsSequencer JobsParallel JobsServer jobs are data processing jobs Compile into Universe BASIC Orlando,FLOctober 69IBM TechXchange 2025Akram AbdouchWW Delivery Practice LeadIBM Technology Expert Labs3231-Modernizing IGC/IA to watsonx.data intelligenceAgenda010203040506Solution OverviewPlatform ArchitectureAssessment Process&OutcomesModernization ApproachLessons LearnedQ&AIBM TechXchange|2025 IBM CorporationHybrid cloud platformAny data.Any location.Any integration.Feel confident in the quality of your data and the insights it generates with IBMs data intelligence solutionIntegrateOrlando,FLOctober 69IBM TechXchange 2025Skyla Loomis,GM IBM Z SoftwareTina Tarquinio,Chief Product Officer IBM Z&LinuxONEKyle Charlet,IBM Fellow,CTO IBM Z SoftwareRichard Baird,SVP&CTO Core Enterprise&Zcloud,KyndrylJoe Schuler,Vice President,MastercardThe Mainframe roadmap:The future with Agentic AI and beyond#3358 AI will fundamentally transform transaction processing.Unlock additional productivity and efficiency for your business.IBM Z TechXchange|2025 IBM Corporation2Transaction PAsset Nameplate Asset Nameplate Recognition ProjectRecognition ProjectNigel InchEnbridge Pipelines Inc.Rob PeerenIBM Canada Ltd.Enbridge Who we are Digital Asset Management Journey Project Goal Solution Capabilities Business Value Future Value Solution Architecture DemoAgendaEnbridge Who We Are3Digital Maintenance FoundationMaintenance OptimizationReliability for GrowthAsset Performance Transformation InitiationDigital Representation of AssetsAssets&Items Data StandardDigital Work ManagementOrchestrate your Automation Redaction of Documents Chatbot Integration with“Service Now”Frank TrilaIm Mediapark 550670 Cologne Germany Mail:Frank.TrilaTimetoact.dePhone:+49 15117166667Session:3595 Champions Case Study Roundup:Innovation,collaboration and optimization in the real worldTIMETOACT GROUP LocationsHeadquarterHamburgHanoverBerlinDresdenDortmundCologneFrankfurtStuttgartNurembergAugsburgMunichRavensburgWinterthurKlagenfurtViennaZurichLeipzigSeligenstadtWalldorfInnsbruckBernHoustonBarce#IBMTechXchange1IBM TechXchange|2025 IBM Corporation1#IBMTechXchangeIBM TechXchange2025 conference 3723 Innovating Public Services:A Case Study on On-Premise AI for Multilingual Administrative ProcessingRobert IzdebskiWaldemar PietrzakMicha NowoszewskiIBPM S.A.October 6-9,Orlando,FL#IBMTechXchange2Innovating Public ServicesA Case Study on On-Premise AI for Multilingual Administrative ProcessingIBM TechXchange Conference 2025#IBMTechXchange3The TeamMicha NowoszewskiIBPM CTO,Corporate ArchitectIBMOrlando,FLOctober 69IBM TechXchange 20254166Generative AI UnleashedJessica RockwoodIBM,VP,Sales EngineeringGenerative AI Unleashed:Scaling Innovation Across the EnterpriseGenerative AI Unleashed:PanelistsDarrel BassSolutions Architect,OneVMarta ArranzProject Manager,MSteve MirmanPartner Solutions Architect,AWSStephen JohnsonGlobal Lead Mainframe Intelligent Operations and AI,DXCLudovic Hazard GSI Joint Solution Development Lead,Juniper Networks IIBM TechXchange|2025 IBM Corporation2Join the convSession ID:4249Shalisha Witherspoon IBM ResearchAccelerating LLM Development with the Data Prep KitIBM TechXchange 2025Open-source Python toolkitlicensed under Apache 2.0,designed for efficient data preparation in LLM workflowsProvides modular transforms and recipes for building and fine-tuning LLMs,including support for RAG and instruct-tuning use casesBuilt for scalable computing environments from local laptops to distributed clusters using tools like Spark and KubeflowSupportscode and languagOrlando,FLOctober 69IBM TechXchange 20254417Cache is King Z&DS8K SynergyBeth PetersonIBM STSM DS8K Architecture,Master InventorLaura TullerIBM ChampionPellera Technologies Business Development ManagerMeet the SpeakersBeth Peterson is an IBM Senior Technical Staff Member(STSM)on the DS8K focused on Z Mainframe attached I/O.She is based in Tucson,AZ.As an architect for the DS8000 Enterprise Storage product,she specializes in Storage Leadership for Z for both z/OS and z/TPF.Her areas of expertiSession ID:4464Shalisha Witherspoon IBM ResearchIntroduction to Data Prep Kit:A Python framework for scalable data preparation for LLMsIBM TechXchange 2025Open-source Python toolkitlicensed under Apache 2.0,designed for efficient data preparation in LLM workflowsProvides modular transforms and recipes for building and fine-tuning LLMs,including support for RAG and instruct-tuning use casesBuilt for scalable computing environments from local laptops to distributed clusters using tools like Spark Orlando,FLOctober 69IBM TechXchange 20251267What We Learned from the IBM TechXchange HackathonMarek MalinowskiEY,Innovation and Tooling LeadWhat We Learned from the IBM TechXchange Hackathon 2024Agenda01020304IntroSlawomirs Chaos and Bees to the RescueFrom Hackathon to LessonsClosing BuzzIBM TechXchange|2025 IBM CorporationAgenda01020304IntroSlawomirs Chaos and Bees to the RescueFrom Hackathon to LessonsClosing BuzzIBM TechXchange|2025 IBM CorporationMImages source:my own photos/Marek Malinowski

展开阅读全文
客服
商务合作
小程序
服务号
折叠