IBM TechXchange 2025嘉宾演讲PPT合集-人工智能（共217套打包）

更新时间：2025-12-03 报告数量：217份

IBM TechXchange 2025嘉宾演讲PPT合集-人工智能

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IBM TechXchange 2025嘉宾演讲PPT合集-人工智能

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- IBM TechXchange 2025嘉宾演讲PPT合集-人工智能
  - 4565 - 使用数据准备工具包丰富 LLM 训练的通用爬虫（LF AI & 数据项目）.pdf
  - 4249 - 利用数据准备工具包加速LLM的数据工程.pdf
  - 4475 - 量子比特上的代理：构建面向企业量子工作流的人工智能界面.pdf
  - 4254 - 将原始文件转换为结构化数据以用于您的法学硕士课程.pdf
  - 4767 - 面向经验丰富的 AI 开发人员的训练营：构建和部署 AI 代理（自带设备办公）- 第一期.pdf
  - 4133 - BeeAI：构建具有易于定制用户界面的生产代理.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
  - 3427 - 利用开源工具赋能本地人工智能：IBM Granite 和 Mellea 联合举办的实践研讨会.pdf
  - 4250 - 利用代理使用 IBM 的 Granite 开源模型分析和研究图像.pdf
  - 3731 - 事件驱动思维：塑造可扩展的智能体人工智能.pdf
  - 3177 - 协调智能：为现实世界构建多智能体系统（自带设备办公）.pdf
  - 3414 - LMCache：降低企业级 LLM 性能成本.pdf
  - 3297 - 在 ANCAP 大会上DAPLAN 助力 IBM Planning Analytics 加速发展.pdf
  - 4476 - 将 watsonx.ai 嵌入 GRC 流程.pdf
  - 4258 - 学生项目：人工智能生成的对话式问题以支持儿童读写能力.pdf
  - 4147 - 一个代理一项任务更优秀的AI.pdf
  - 3439 - 数据分析的未来是智能体：使用 LangGraph 和 watsonx.ai 构建 SQL 代理.pdf
  - 3309 - 在人工智能生命周期中保护企业人工智能数据.pdf
  - 4497 - 使用 AllyCat 构建基于网络爬虫数据的 RAG 应用程序.pdf
  - 4290 - 人工智能的真正意义：创新、效率与转型.pdf
  - 4166 - 生成式人工智能的释放：在企业范围内扩展创新.pdf
  - 3610 - 周三全体会议 - 代理商变革企业技术.pdf
  - 3184 - 90 分钟内从创意到应用：使用 Vibe Coding 打造您的第一个作品（自带设备办公）.pdf
  - 4324 - 了解如何使用 llm-d 实现分布式 LLM 推理.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
  - 3394 - 面向经验丰富的 AI 开发人员的训练营：构建和部署 AI 代理（自带设备）.pdf
  - 3295 - 利用 IBM Watson X 优化服务交付：Experis Agentic AI 之旅.pdf
  - 3175 - 智能体人工智能：使用 CrewAI 和 Gradio 构建多智能体应用程序（自带设备办公）.pdf
  - 3071 - 从代理设计到代理连接：利用多代理系统实现企业自动化.pdf
  - 3065 - 规划无限可能：借助 IBM 实现 AI 驱动的流程转型.pdf
  - 3059 - 设计、执行和优化：IBM Process Planner 如何利用人工智能实现闭环.pdf
  - 3051 - 微调您的 Watson X Orchestrate AI 代理.pdf
  - 2810 - 利用人工智能安全拓展人工智能治理视野.pdf
  - 3299 - 传统系统中的人工智能代理：SOMPO Japan 如何大规模增强 COBOL 影响分析.pdf
  - 3172 - 利用人工智能完成任务并解决实际问题（自带设备办公）.pdf
  - 3176 - Agentic RAG：自主智能与知识检索（BYOD）的结合.pdf
  - 3067 - 在 Watsonx Orchestrate 中构建更智能的工具：多代理成功策略.pdf
  - 3137 - 以正确的方式构建您的第一代人工智能应用（自带设备办公）.pdf
  - 3066 - Watsonx Orchestrate 中的代理商目录.pdf
  - 3061 - 智能体人工智能时代的业务自动化.pdf
  - 3053 - 利用 IBM 的 AI 代码助手加速合规性和现代化.pdf
  - 3060 - IBM 商业自动化工作流 - 迈向智能体人工智能.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
  - 3052 - Watsonx Orchest 集成.pdf
  - 3173 - 选择合适的LLM模型（自带设备办公）.pdf
  - 2869 - Guardium AI Security + watsonx.gov -- 通往可信赖人工智能之路.pdf
  - 2932 - 利用人工智能实现合规自动化.pdf
  - 3178 - 多智能体、多工具系统：构建用于复杂任务的协作式人工智能（自带设备办公）.pdf
  - 2788 - langchain4j-cdi：将所有 AI 功能融入您的 Jakarta 和 MicroProfile 应用程序.pdf
  - 2835 - 驾驭数据安全格局：探索混合云、人工智能和量子安全.pdf
  - 2764 - 从开发到优化大规模评估代理.pdf
  - 3068 - 行之有效的AI：利用智能体AI提升生产力的真实案例.pdf
  - 2787 - 高效人工智能Java编码的七个习惯.pdf
  - 2763 - 面向企业用例的终极模型灵活性.pdf
  - 2754 - 智能体应用：用例、经验教训和最佳实践.pdf
  - 3062 - 决策与人工智能.pdf
  - 2662 - 利用 Langflow 和 IBM WatsonX 释放代理生态系统的价值.pdf
  - 2741 - 完美匹配：IBM Fusionwatsonx.ai – AI 本地部署和日常运维的关键要点.pdf
  - 3054 - AI 驱动的代码助手实战：IBM 如何使用 AI 来改变团队构建、修复和现代化软件的方式.pdf
  - 2485 - 基于人工智能的 IBM Cognos Analytics 洞察.pdf
  - 2657 - 学生开发日：智能体应用：用例、经验教训和最佳实践.pdf
  - 2896 - 小组讨论：AI Everywhere - IBM Fusion for AI and for All.pdf
  - 2496 - 解读 BI 的未来：IBM Watsonx BI 的独家见解.pdf
  - 2765 - 为智能体设计稳健的评估流程.pdf
  - 2667 - 人工智能在学术界的应用：为学生成功和运营效率开启新机遇.pdf
  - 4392 - IBM Z 的全新智能体人工智能：战略与重要公告.pdf
  - 4329 - 在 IBM Cloud VPC 上构建智能体 AI、高性能计算和 SAP 架构.pdf
  - 3730 - 北欧大型电信公司重新定义运营智能：SevOne + AIOps + Watsonx 的实际应用.pdf
  - 3689 - 面向人工智能代理的基础设施：助力未来自主IT运维.pdf
  - 3595 - 冠军案例研究综述：现实世界中的创新、协作和优化.pdf
  - 3359 - 利用基于 WatsonX 构建的 SpeedShotX 解锁万亿美元体育市场.pdf
  - 3174 - 利用LLM护栏防止故障并保持信息一致性.pdf
  - 3069 - 使用 Copilot 进行多代理编排.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
  - 3533 - Watsonx Z 代码助手训练营 - 利用人工智能革新大型机应用现代化（自带设备办公） - 第二次机会.pdf
  - 3058 - 路线图：使用 IBM Business Automation Manager Open Edition 在混合云中实现业务自动化.pdf
  - 3050 - UPS 和 IBM Watsonx：变革包裹追踪.pdf
  - 2897 - 小组：融合精彩集锦.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
  - 2769 - 自定义模型和自定义代理的实际应用：行业用例和端到端演示.pdf
  - 2761 - MCP 和工具调用的有效 API 策略.pdf
  - 2668 - 学生开发日：从原型到生产：将智能体人工智能系统投入实际部署.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
  - 2655 - 学生项目：迈向信任——卡迪夫大学学生利用人工智能推进自动驾驶汽车发展.pdf
  - 2488 - Cognos Framework Manager 与数据模块.pdf
  - 3358 - 大型机路线图：面向智能体人工智能的未来及其他.pdf
  - 2900 - IBM Fusion – 面向人工智能和容器的现代化基础设施.pdf
  - 2770 - 利用 watsonx.governance 管理和简化监管合规.pdf
  - 2762 - 在本地部署 Frontier 大型语言模型.pdf
  - 2712 - 深入探讨检索增强生成.pdf
  - 2656 - 学生项目：利用 IBM Watson X 加速法律洞察.pdf
  - 2495 - 企业绩效管理：从聚合到整合借助 IBM Planning Analytics 和 IBM Controller.pdf
  - 2471 - 利用 Watsonx Orchestrate 提升流程效率：从任务到成果.pdf
  - 2387 - 从虚拟助手到认知代理：Banorte 与 Watson X 和生成式人工智能的合作历程.pdf
  - 2356 - 人工智能掌舵：引领客户体验的未来.pdf
  - 2120 - 从电子表格到数据立方体：分解开发流程以提供更佳的业务洞察力.pdf
  - 3220 - 在 IBM Cloud 上使用 Red Hat OpenShift AI 大规模部署 AI.pdf
  - 2500 - 利用 watsonx 和 SpeedShotX 解锁万亿美元体育市场.pdf
  - 2416 - 利用 IBM Planning Analytics on Cloud 和 Google Sheets 赋能业务团队：Pinterest 案例分享.pdf
  - 2479 - PA-genic：IBM Planning Analytics 的企业代理.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
  - 3008 - 从原型到生产：将智能体人工智能系统投入实际部署.pdf
  - 2371 - 超越保单：利用 watsonx.ai 革新保险业.pdf
  - 2369 - 利用 IBM Planning Analytics 革新财务规划：CCR 集团的案例.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
  - 2288 - 变革保险经纪人沟通：利用 Watsonx Orchestrate 加快响应速度.pdf
  - 2283 - 使用 IBM WatsonX 和 MCP 将 AI 代理连接到 SaaS 平台 — 来自 Sweap 的真实案例.pdf
  - 2760 - 为企业用例高效构建开源代理.pdf
  - 2185 - 信任但要核实：持续的人工智能监控.pdf
  - 2126 - 利用 InstructLab 和 AI 模型调优革新紧急医疗服务.pdf
  - 2648 - 进化你的代码：利用人工智能和Vibe Coding增强现有项目（BYOD）.pdf
  - 2045年——关于大规模虚拟助手的可扩展性、培训和维护的建议.pdf
  - 2008 年 - 由 Informix 和 Watsonx 提供支持的 Text to SQL Agent.pdf
  - 2487 - 使用交互式性能助手实现 Cognos 分析报告的最佳性能.pdf
  - 1955年——洛克希德·马丁公司与IBM合作提升制造质量.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
  - 2459 - Watsonx 财务工作流程编排.pdf
  - 1860 - 超越工具：将规划分析作为中央数据中心.pdf
  - 2372 - 从瓶装到董事会：太阳能可口可乐利用 IBM Planning Analytics 提供端到端财务洞察.pdf
  - 1871 - 智能体人工智能的实践：构建终极人工智能驱动型财务控制器.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
  - 2302 - 利用智能体人工智能驱动流程创新和优化.pdf
  - 1799 - Omnicom集团利用IBM PA实现规划和资源管理自动化.pdf
  - 1736 - Verizon 利用 watsonx.ai 生成 AI 代码运营效率提升 50%.pdf
  - 2211 - 利用生成式人工智能和 watsonx.ai 革新公关媒体分析.pdf
  - 1664 - 了解为什么 PyTorch 是机器学习领域事实上的开源框架.pdf
  - 1960年——虚拟助手从对话到行动的演变：技巧与经验教训.pdf
  - 3018 - 人工智能赋能的高性能计算：IBM Cloud 的混合多云解决方案.pdf
  - 3017 - 利用人工智能和云计算实现供应链透明度和监管合规性.pdf
  - 3016 - 驱动未来：IBM 如何利用云端人工智能和物联网技术赋能互联汽车.pdf
  - 2465 - 利用 WatsonX 协调医疗保健运营.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
  - 2322 - 迁移到 AWS 上的下一代 PA 服务器.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
  - 2072 - 从文档和图像到智能对话：基于 IBM Granite、Docling 和 RAG 的 AI 聊天机器人.pdf
  - 1984年 - WIENKA - 维也纳保险公司面向销售和呼叫中心代理的人工智能助手.pdf
  - 1920 - 重新思考人工智能世界中的内容_文档.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
  - 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
  - 1709 - 从 Tableau 到 Cognos：利用 AI 和 GenAI 加速全球支付的数据驱动未来.pdf
  - 2278 - 秘鲁领先银行 BCP 利用智能代理和生成式人工智能革新客户服务.pdf
  - 2006 年 - Itaú 如何使用 watsonx.ai 在 OpenPages 中使用生成式人工智能进行审计.pdf
  - 1937年——利用人工智能变革采购：谈判机器人.pdf
  - 1835 - 用于电信行业自动化 RFP 分析的生成式人工智能.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
  - 1718 - 将 Watsonx Orchestrate 与 IBM 机器人流程自动化相结合简化您的业务流程.pdf
  - 1598 - 代理商遍布各地：如何管理规模.pdf
  - 1497 - 利用机器学习优化数据迁移.pdf
  - 1401 - 基于 IBM Granite 的股市预测（2024 届学生校友演讲嘉宾！）.pdf
  - 2654 - 学生项目：人工智能与工程的融合：利用 IBM Watson 赋能学生创新.pdf
  - 2584 - 人工智能的两副面孔：当算法选择展示谁以及重视什么时.pdf
  - 2502 - 提升 Maximo：利用 Watson X 转变可用性、洞察力和交互方式.pdf
  - 2497 - 与 AWS 合作伙伴解决方案架构师的智力较量.pdf
  - 2486 - Cognos Analytics 系统健康报告.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
  - 1749 - 利用 Amazon SageMaker AI 和 IBM Watsonx 扩展 AI 治理规模.pdf
  - 1559 - 从机器人到协调器：多代理 RAG 如何解锁更智能的销售人工智能.pdf
  - 1570 - 针对高容量环境优化 Cognos Analytics 和 Web 服务器架构：面向金融机构的可扩展解决方案（Sicoob 出品）.pdf
  - 2066 - 新闻集团与 Octane：通过 IBM TM1 + Watsonx Orchestrate 实现 AI 驱动的财务报告.pdf
  - 1480 - 基于深度强化学习的GPU作业调度.pdf
  - 1484 - 使用检索增强生成微调 LLM 模型缓解运行时 Java 锁争用.pdf
  - 1872 - 利用人工智能赋能科技女性：使用 Watsonx Orchestrate 提供个性化职业支持.pdf
  - 1420 - 人工智能引领商业分析新时代.pdf
  - 2326 - 释放智能体人工智能：AMD 和 IBM 的计算能力.pdf
  - 1319 - 从砖瓦到脑电波——如何让建筑数据智能化.pdf
  - 1800 年 - Omnicom 公司大规模部署 CA.pdf
  - 1426 - 《猫和老鼠》最终章来了 - watsonx.ai 工作室是如何最终抓住杰瑞的！！.pdf
  - 2323 - 第三部分之谜 - 人工智能驱动可持续供应链.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
  - 1322 - AI + 游戏化 = RoomieRewards：让家务管理变得轻松有趣（2024 届学生校友演讲嘉宾！）.pdf
  - 1750 - 基于人工智能的可观测性和AIOps的自动化事件解决.pdf
  - 1208 - 准备好体验 Cognos Analytics 中真正的 DevOps 的强大功能.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
  - 1703 - 基于 BAW 的智能体人工智能.pdf
  - 1284 - 为人工智能和 RAG 驱动的工程用例解锁 IBM Engineering DOORS Next.pdf
  - 1587 - 在业务中充分利用 IBM 内容助手 - 消除炒作创造价值.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
  - 1486 - 基于机器学习的测试用例优先级排序：持续集成环境中的研究与生产视角.pdf
  - 1145 - 利用 IBM BAW 和 Gen AI 为美国联合航空公司旅客服务系统支持提供自动化洞察.pdf
  - 1446 - AI 叙述代理 - 释放智能：IBM Planning Analytics 和 AI 如何简化 1,100 个 TM1 流程.pdf
  - 1078 - 使用 IBM Business Automation 构建多渠道客户服务解决方案.pdf
  - 1349 - 负责任的人工智能实践：构建更智能、更高效的公共服务.pdf
  - 1238 - 从人身回路到人身循环.pdf
  - 1080 - 系统失忆？让您的 Cognos 进入自动驾驶模式：使用 MotioCI 像专业人士一样部署、测试和版本控制！.pdf
  - 2310 - 利用生成式人工智能和合适的数据模型推进资产生命周期管理.pdf
  - 2158 - 在 IBM Cloud 上构建云原生 AI 应用程序.pdf
  - 2108 - AI 驱动的媒体存储：深入了解 IBM Cloud 和 watsonx.ai 上的 Wasabi AiR.pdf
  - 2087 - 从试点到生产：利用 Dynamiq 加速 Watsonx 企业级智能代理 AI.pdf
  - 2030 - 在本地使用 x86 服务器部署 Watsonx Code Assistant for Z - 技巧、窍门和经验教训.pdf
  - 2014年——通过集成Instana、Turbonomic、AAP和Watson AIOPs实现企业自动化以优化我们的IT系统.pdf
  - 2010 - 充分利用您的 SIEM：QRadar 数据采集、搜索和检测专家指南.pdf
  - 1592 - AI 与 IBM 内容助手携手 FileNet.pdf
  - 1488 - 利用支持性洞察的 AI 驱动型持续产品质量改进系统.pdf
  - 1452 - 利用 WatsonX 驱动业务增长：通过人工智能革新支持、销售和招聘流程.pdf
  - 1359 - 支持科学研究和发现的智能体基础设施.pdf
  - 1298 - 利用人工智能革新用户体验：人性化和软件错误信息.pdf
  - 1242 - 借助 Watsonx 提升运营和支持效率.pdf
  - 1192 - 使用智能体人工智能：为 API 管理、API 安全、API 治理和 DevOps 带来真正的价值.pdf
  - 1112 - 大规模 CP4BA 实施的挑战.pdf
  - 1464 - 利用人工智能简化销售提案和 RFP 回复.pdf
  - 1315 - 利用 Cognos Analytics 可视化进行汇总、分析并生成有意义的见解.pdf
  - 1259 - 解决技术债务并激发创造力：专注周的影响.pdf
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  - 1135 - MaximoNXT：您的 AI 盟友助您实现去定制化和 Maximo 代码辅助.pdf

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Orlando,FLOctober 69IBM TechXchange 2025Session code(1135)MaximoNXT:Your AI Ally for de-customization and Maximo Code AssistanceKushal DesaiWipro,Senior Consulting ManagerMaximoNXTSatish NarasimhaIBM,Senior Solutions ArchitectWhat you will learn in this session01020304Use CasesHigh Level ArchitectureDemonstrationOpen DiscussionIBM TechXchange|2025 IBM CorporationAutomated Code Analysis,MBO Customizations and Automation ScriptsAutomated Code Generation,Configuration boiler plateAutomated Code RevOrlando,FLOctober 69IBM TechXchange 20251152Harnessing Quantum Machine Learning Harnessing Quantum Machine Learning for Anomaly Identificationfor Anomaly IdentificationSaulo MachadoAccenture,Emerging Tech Lead Brazil Pedro RapelloAccenture,Hybrid Cloud Lead BrazilHarnessing Quantum Harnessing Quantum Machine Learning for Machine Learning for Anomaly IdentificationAnomaly IdentificationAgenda010203040506Why NowQuantum Machine LearningDesigning the ExperimentResults and ImpactWhat Made This PossibOrlando,FLOctober 69IBM TechXchange 2025Explore.Build.Launch.Session#1326Ann-Grete Tan(“A.G.”)PrincipalTensor ResearchIntegrate Financial,Sustainability and Climate Risk Models using IBM Planning Analytics with EnviziGood morning!Good morning!Welcome!Welcome!https:/ 20 YearsLast 20 YearsHighlights:Highlights:Freezes 1990 1990 1990 Hurricanes Canker spread Hurricanes reduced acreageWeather vs ClimateNow vs FutureIts“only weather”or is it?What if the number of costlycostly extreme weather evenAgendaCurrent Knowledge“World”Organizational knowledge in crisis.01How to create knowledgeStop wasting your time copying&pasting text from your“GPT”.02Use&Improve your KnowledgeCentralize,improve and share your knowledge easy&fast.03Speak to your Knowledge through WiseCoreSee the knowledge in action!04Enterprise Data Utilization by Generative AIToday well talk about knowledgeBut.what is knowledge?Is the collective understanding and experience that a company use to operate.It inclE q u i t u s.a iSession Code:1398Session Title:AI at the Edge with KGNN:Rapidly Actionable Intelligence from All Source Intelligence DataSpeakers:Mark Rigney,CEO Michael Avina,CTOCompany:Equitus CorporationE q u i t u s.a iABOUT EQUITUSEquitus is a technology company specializing in Automated Data Integration,Knowledge Graphs,and Video Analytics.Our platform turns fragmented data into structured,contextualized intelligence,ready for AI,analytics,and decisions.Knowledge Graph Neural NetworkVideoVivo“Intelligence That Drives Efficiency”Session code 1461Modernizing Virtual Machines with TurbonomicVivo TelefnicaIBM Techxchange 2025Orlando,Fl“From legacy to future:modern machines,efficient resources.”with Turbonomic.Vivos Intelligence That Drives Efficiency,2Luciano Monteiro LeiteVirtualization SpecialistJean Carlos ParisJean Carlos ParisVirtualization Engineer3DisclaimerThis presentation contain real information statements based on estimates regarding future prospects and objectives,iFast Track your AI Deployment with Intel Gaudi 3 Fast Track your AI Deployment with Intel Gaudi 3 Deployable Architectures on IBM CloudDeployable Architectures on IBM CloudSession#1465IBM TechXchange|2025 IBM Corporation1#IBMTechXchangeRyan ParkRyan ParkField Applications EngineerIntel CorporationPramod PaiPramod PaiSoftware EngineerIntel CorporationBrian SathianathanBrian SathianathanFounder and CTOIterateAIWhat you will learn in this session0102030405What is Intel Gaudi 3?What is Intel AI for Orlando,FLOctober 69IBM TechXchange 2025Explore.Build.Launch.Ian Watts*,Komal Sarda*,Amr Zaki*,Marin Litoiu*York University*IBM Canada LabToronto,Ontario,Canada Markham,Ontario,CanadaSession 1490:State of the Art Gen AI Remediation in CP4AIOpsAgendaAgenda0102030405060708IBM CP4AIOps VisionIncident Summarization and AIOps Assistant CP4AIOps 4.11 Tech Preview Agentic Orchestration RoadmapChallenges and OpportunitiesObserve,Think,Act:4 Research QuestionsRQ1:Alert Storms and Alert GroupingRQ2:AnomalOrlando,FLOctober 69IBM TechXchange 2025Marios Fokaefs,Associate Professor,Director Economics and Administration of Software Engineering Lab,York UniversityMichael Harrison,Software Engineer,IBM Increasing productivity and reducing Increasing productivity and reducing cognitive load in reliability engineering cognitive load in reliability engineering with AI 1491with AI 1491but strategic AI implementation can transform your systemsPutting AI in your architecture diagram isnt enoughIBM TechXchangOrlando,FLOctober 69IBM TechXchange 2025Session ID:1492 AI-aided Continuous Compliance Detection and EnforcementChristophe Elek,IBM CanadaMichael Rennie,IBM CanadaChris Brealey,IBM CanadaMete Isiksalan,York University,CanadaKostas Kontogiannis,York University,CanadaMarios Grigoriou,Western University,CanadaPioush Korlepara,Western University,CanadaAndres Ishida,Western University,CanadaAgenda010203040506BackgroundContinuous Software Engineering Extreme Shift LeftExtreme Shift RightDocumentation Agentic AI Managed MicrogridsHovers Wind-Powered MicrogridControlled by The Microgrid Management SystemTM w/IBM MAS 9.0&Watson X.aiPowering The Built Environment is a$14 Trillion Market -McKinsey&Co.In the US alone,there is over 330 GW of untouched power potential on rooftops.-Jigar Shaw,DOE,2024 RE+Our Solution:The Hover Wind-Powered MHover provides a fully integrated,renewable energy microgrid solution.Wind PowerBattery StorageSolar PowerMicrogrid Management System w/IBM MAS 9.0Full-SeOrlando,FLOctober 69IBM TechXchange 2025Session code 1907Seigo TanakaPresident,1ft-seabassIBM Granite LLM and XR Device Technology Collaboration Live Demo and Knowledge TalkIntroduction&Todays ArchitectureIBM TechXchange|2025 IBM Corporation2Voice to IoT ControlxR+Voice+AI+IoTLike this.Turn on light voice to self-build LEGO IoT Light IoT control demo video.IBM TechXchange|2025 IBM Corporation3How It WorksDetail:https:/ IBM TechXchange|2025 IBM Corporation4OllamaGranite LLMVoiceNode-REDIoTLocOrlando,FLOctober 69IBM TechXchange 2025Session code 2010Colin Hay,Nick Antonov IBMFrank Eargle GlassHouse SystemsGetting the most from Getting the most from your SIEM:an expert your SIEM:an expert guide to data guide to data ingestion,search,and ingestion,search,and detection in QRadardetection in QRadarAgenda0102030405OverviewData IngestionDetection and ResponseSearch and InvestigationQ&A(please hold till end)IBM TechXchange|2025 IBM CorporationData Ingestion:Event PipelineIBM TechXchange|Orlando,FLOctober 69IBM TechXchange 2025Session code 1111Ivo KhlerSolutions Architect infrastructure and cloudSky New ZealandMarcus KnigManaging Director&Advanced Technical SpecialistSystemethix Limited,NZSuperior performance and value with Oracle on IBM PowerOrlando,FLOctober 69IBM TechXchange 2025Part 1Introductionwith Ivo KohlerCompany note:Despite sharing branding and services(e.g.Sky Go,MySky)with Sky Group(Europe),Sky New Zealand is independent and not connected to Sky Group.IntroducinIBM TechXchange 2025 conference Deploying watsonx Code Assistant for Z on premises with an x86 server Tips,Tricks and lessons learnedChristoph ScheuringVikas PujarAccentureSession code(2030)IBM TechXchange|2025 IBM Corporation1#IBMTechXchangeTable of Contentswatsonx Code Assistant for Z On-Prem Setup Planwatsonx Code Assistant for Z OverviewFusion HCI Machine Overviewwatsonx Code Assistant for Z On-Prem ComponentsDemo of watsonx Code Assistant for Z On-PremLessons Learnt,TipsQ&A1234567IBM TeFrom 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 2025Session code 2108AI-Powered Media Storage:Inside Wasabi AiR on IBM Cloud and watsonx.aiJim DonovanWasabi Technologies,Chief Product OfficerAgendaProblem statementWasabi&IBM CloudSolution overviewDemoMessage flowFeaturesUse CasesSummary345678910IBM TechXchange|2025 IBM Corporation2About Wasabi+IBM Cloud+watsonx.ai IBM Cloud=Public cloud compute&related services platform Provides GPUs&other IaaS services for Wasabis AI&related capabilities MoIBM TechXchange 2025 conference Building Cloud Native AI Applications on IBM CloudIBM TechXchange|2025 IBM Corporation1#IBMTechXchange2158Manigandan BHappiest Minds,Software ArchitectRachana VishwanathulaIBM Cloud Product ManagementAgenda010203040506IntroductionPartnership OverviewDCM PlatformIBM Cloud Services Deep DiveBenefits AchievedClosing RemarksIBM TechXchange|2025 IBM CorporationBorn Digital.Born Agile.IBM TechXchange|2025 IBM Corporation3The ChallengeAs part of implementing gen AI basedIBM TechXchange 2025 conference IBM TechXchange|2025 IBM Corporation1#IBMTechXchangeAdvancing Asset Lifecycle Management Advancing Asset Lifecycle Management with Generative AI and the right Data with Generative AI and the right Data Models 2310Models 2310Rick Crory,CEO/President,MaximoGroups.orgKlaus Roder,Data&AI Enthusiast,IBMAgendaAsset-intensive organizations face evolving business challengesMaintenance Strategies&Maturity ModelData is the Lifeblood of AIFundamental Data Elements foOrlando,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 2326Suraksha VidyarthiIBM Cloud,Product ManagerNathan ChangAMD,AI Solution ArchitectUnleashing Agentic AI:The Unleashing Agentic AI:The Compute Power of AMD and IBMCompute Power of AMD and IBMAgenda0102030405What is Agentic AIIBMs Agentic AI ApproachAgentic AI on IBM Cloud using AMD AcceleratorsAMDs Agentic use casesGetting StartedIBM TechXchange|2025 IBM CorporationAI capabilities are growing rapidlyAI that predictsAI that predictsMachine learningIBM TechXchange 2025 conference 2486-Cognos Analytics System Health ReportGeorge XSTSM,ArchitectIBM Cognos Analytics,IBM Business AnalyticsGreg McDSenior Product Manager,IBM Business AnalyticsIBM TechXchange|2025 IBM Corporation1Empowering system health and performanceIBM TechXchange|2025 IBM Corporation2Automated Health ChecksAutomated Health ChecksQuick,repeatable system health checks automate monitoring to ensure consistent performance under a few of hours.Resource OptimizationResource OptimiOrlando,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 Orlando,FLOctober 69IBM TechXchange 2025Explore.Build.Launch.2502Using watsonx to Transform Usability,Insights,and Interaction Jennifer Gatza&Jennifer Gatza&RikhitaRikhita KogantiKogantiMaven Asset Management,Senior ConsultantElevate MaximoRikhitaRikhita KogantiKogantiMaven Asset ManagementMaximo Technical ConsultantIBM TechXchange|2025 IBM CorporationJennifer GatzaJennifer GatzaMaven Asset ManagementFounder and CEOAgenda0102030405Maximo and watsonx:Why?Watsonx AI Capabilities in Maximo Two Faces of Generative AI:When Algorithms Choose Who to Show and What to ValueIBM TechXchange 2025 Claudio Mayrink Verdunclaudioverdunseas.harvard.educlaudio-mayrink-verdunPart I:What is AI?The Wolf of Wall Street in 2025The birthday of AI:Hannover,New Hampshire,19564General principles:Every aspect of learning or any other feature of intelligencecan be so precisely described that amachine can be made to simulate it.In 1943,neurophysiologist Warren McCulloch and logician Walter Pitts devised a sOrlando,FLOctober 69IBM TechXchange 20252654-Student Project:AI Meets Engineering:Empowering Student Innovation with IBM WatsonBrooklyn Luckett Clark Atlanta University Agenda010203040506IntroductionGoals and SolutionDemoWatsonX ImpactNext StepsClosingIBM TechXchange|2025 IBM CorporationIBM TechXchange|2025 IBM Corporation3Goals and SolutionTo identify a business problem and use watsonx.ai and other IBM Cloud tools to develop a use case to solve that problem To build a AI platform designed for eOrlando,FLOctober 69IBM TechXchange 2025Driving the Future of Connected Cars 3016Tomas Galvez SantaellaPartnerships Lead C2C,Qualcomm Technologies Inc.Juanjo RuizPrincipal Offering Manager,IBM Cloud SolutionsDriving the Future:Connected Car Services on IBM CloudWhat you will learn in this session0102030405Connected Car TrendsQualcomm C2C ServicesIBM Cloud for AutomotiveAgentic AI Driver ExperienceQ&AIBM TechXchange|2025 IBM CorporationComprehensive,easy-to-deploy platform forlaunching innovaOrlando,FLOctober 69IBM TechXchange 2025Session code 3017Shalabh Singhal TrademoFounder&CEOYanjka ReganIBMPrincipal Product ManagerBob LytleRel8ed Analytics,a Coface CompanyChief Innovation OfficerHarnessing AI and Cloud for Supply Chain Harnessing AI and Cloud for Supply Chain Transparency and Regulatory ComplianceTransparency and Regulatory ComplianceAgenda0102030405IBM TechXchange|2025 IBM CorporationKey Players&Challenges in Global TradeIBM Connected Trade PlatformTrademos AI-Driven IBM TechXchange 2025 conference AI-Infused HPC:IBM Clouds Hybrid,Multi-Cloud Solution IBM TechXchange|2025 IBM Corporation1#IBMTechXchangeRavi Konuru,Lead Architect,Industry SolutionsKevin Johnson,Principal Cloud Platform Technical SpecialistCore Contributors,Acknowledgements:Derren Dunn,Harsha Krishna Reddy IBM ResearchPaul Mazzurana,Piyush Chaudary,Weiming Gu IBM CloudAgendavHigh Performance Computing:ChallengesvIBMs Secure,Hybrid Solution OverviewvCase studies:vSecurity/compliance for regulatOrlando,FLOctober 69IBM TechXchange 2025Session 3220Chris RosenIBM,Director of Product Management:Containers,AI,Observability,AutomationOperationalizing AI at Scale with Red Hat OpenShift on IBM CloudWhat you will learn in this session0102030405ChallengesIntro to Red Hat OpenShift AIData Science LifecycleSample Use CasesQuestions?IBM TechXchange|2025 IBM CorporationImpact of generative AIScale of impact points to swift adoption over next 3 yearsIBM TechXchange|2025 IBM Corporation3Broad-reachingOrlando,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 Management WCA4Z 3533 and 4766 Bootcamp for watsonx Code Assistant for Z-Revolutionizing Mainframe Application Modernization with AI Authors name David VandePol Senior Solutions Architect,Client Engineering Thoz Javu Client Engineering Leader,Financial Services 2 IBM TechXchange 2025/2025 IBM Corporation Table of Contents 1 Introduction.4 1.1 About this hands-on lab.4 2 Log In to the Environment.4 3 Launch Z Understand Eclipse client(formerly ADDI)IBM Developer for z/OS-IDz).5 4 Visualize the entire AppliOrchestrate 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 LocationsHeadquarterHamburgHanoverBerlinDresdenDortmundCologneFrankfurtStuttgartNurembergAugsburgMunichRavensburgWinterthurKlagenfurtViennaZurichLeipzigSeligenstadtWalldorfInnsbruckBernHoustonBarceOrlando,FLOctober 69IBM TechXchange 2025Nataraj Nagaratnam,Ph.D.,IBM FellowCTO,AI Architecture and Security AI Agentic-ReadyIBM InfrastructurePowering the future of Autonomous IT operationsNotices 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 trademarkCode:37302025/08/1002:00 pmIBM TechXchange Orlando 2025”AI,IT Optimization&Automation”Code:37302025/08/1002:00 pm 3 M Subscribers 3G,4G,5G 250.000 objects RAN,Core,Transmission,IT/OT 2000 Employees Top ranked in marketNordic Telecom Operator 5G drives requirement to manage more Events on existing platform and operationAlert fatigueMany different and isolated filters/viewsToo many tools not(yet)integrated into NOCTechnology dept(LCM backlog)No cross-domain correlationMissing PM data for impOrlando,FLOctober 69IBM TechXchange 2025Dr.Nataraj Nagaratnam,IBM FellowAjay Apte,IBM FellowDinakaran Joseph,IBM Distinguished EngineerArchitecting Agentic AI,HPC,Architecting Agentic AI,HPC,and SAP on IBM Cloud VPCand SAP on IBM Cloud VPCSession:4329Notices 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 Orlando,FLOctober 69IBM TechXchange 2025Session:4392Kyle Charlet,IBM Fellow,CTO IBM Z SoftwareElpida Tzortzatos,IBM Fellow,CTO AI on IBM ZSteve Wallin,Director,CICS and Z IntegrationDan Wiegand,Principal Product Manager,IBM Z AIOpsAgentic AI for IBM Z:Strategy and Key AnnouncementsAI will fundamentally transform transaction processing.Unlock additional productivity and efficiency for your business.Transaction ProcessingDeliver unmatched transactional performance,security and reliability with AI-

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