Oracle AI World:10月28日加入CUBE
数据库现代化的动机历来是提高效率和节省费用。 然而，CUBE研究也发现有更大的悬殊：建立在现代化基础上的AI项目可以产生巨大的价值。
最终目标是超越一个零散的数据产业区，这可以使团队减速，使治理更加困难。 AI项目在制作上需要重复和可扩展，这将是本月晚些时候在拉斯维加斯的OracleAI World讨论的中心焦点。
“对于Oracle 客户，战略问题正在变成：我们是否只是降低基础设施成本，还是要建立一个更好的平台，“其价值不仅在于自动化、标准化和业务效率。 更大的机会是利用这一基础更早地进入AI学习曲线，从日常管理中解放出技能熟练的团队，提高治理一致性，并随着时间推移加快AI使用案例的发展。 数据库现代化仍然是信息技术决定。 但是，它也越来越多地是AI准备就绪的决定，影响到企业的所有部分。”
CUBE,SiliconANGLE Media的直播工作室，将于10月28日在拉斯维加斯报道Oracle AI World的最新新闻和公告。 在CUBE探索Oracle如何将代理AI整合到企业工作流程中，将信任的数据与智能自动化连接起来，并大规模满足AI的基础设施，安全和治理要求时，该报道将针对Oracle高管和行业领袖进行现场报告和独家采访。 (* 下文披露。 )
数据库现代化以确保信任
即将举行的Oracle活动将为公司展示一些关键产品领域的最新进展提供机会。 其中之一是实施护卫和信任。
AI生成的解决方案需要准确，安全，可靠，以便企业相信其成果。 根据Oracle任务关键数据库技术执行副总裁Juan Loaiza的说法，随着自主的agents建立应用程序并采取行动，这一点变得至关重要。
护卫队不会切断它。 带来在与CUBE进行前期对话时，我们所做的不同。 我们正确保整个技术库的信任。 我们唯一可以相信的构建人工智能解决方案的方法，就是将整个过程——人工智能，数据和AppDev都作为一个整体构建出来".
今年早些时候，Oracle概述了其三管齐下的战略，以应对更广泛地使用人工智能带来的安全挑战。 AI系统为敏感的企业数据开辟了新的路径，Oracle实施了一套工具，旨在实现数据库安全，补丁，测试和生命周期管理。
称 Arpan Shah, Oracle数据库资深副总裁，最近接受CUBE采访时，“在拉斯维加斯，我们的主要关注领域之一是真正展示我们在产品中在做什么，如何设计各种功能，真正从数据层开始
加强湖屋和AI数据库技术
另一个主要重点领域涉及智能数据架构。 Oracle的自主AI Lakehouse将公司的自主数据库能力与Apache Iceberg的开放表格式相结合，为横跨每个主要云层的分析提供互操作的基础。
Oracle将在自主AI湖豪斯推出一些新能力，据Oracle自主AI湖豪斯的SVPNipun Agarwal在Oracle表示。
Agarwal告诉CUBE, “湖屋正在从分析平台转变为企业AI的决策骨干。 “这意味着，在过去，客户将来到一个湖中进行分析。 但现在，湖屋既适合分析，也适合人工智能的工作量。”
Oracle的自主AI数据库也提供了一个完全自动化的，基于云的数据平台，利用机器学习和人工智能来管理，调谐，补丁和安全自身。 其多云能力使得企业可以选择在Oracle云基础设施中运行，或者在Amazon网络服务公司，Microsoft和Google云管理的服务上运行。 该数据库提供多式联运数据管理，支持交易和分析处理，同时帮助数据库业务标准化和自动化。
agents与AI世界的自主AI数据库相融合，LLMs与企业数据如何互动，一个经常被忽视的成分是AI应用程序需要建立在正确的数据基础上。 这就是自主AI数据库的真正优势所在。”
新平台能力
Oracle的平台能力今年随着APEXlang等功能的引入而得到进一步加强。 人可读应用程序定义语言给予主编码agents一个结构化的应用程序目标，而Oracle管理运行时间，安全和应用程序生命周期。
称 Mike Hichwa, Oracle软件开发的SVP，在最近与CUBE的谈话中，“所以，你可以像Codex或Claude那样使用编码的agent，你只是简单地说：‘给我一个应用程序来做点什么。 它将产生这种语言。”
Oracle逐渐将其高可用性Exadata服务扩展至针对AI和位置敏感的使用案例。 然而，在Exadata中运行远程直接内存访问的数据库VMs的实时迁移几乎是不可能的。
6月，Oracle 宣布 Exadata VM Live migration，这种能力允许一个活的Oracle数据库在主机之间移动，同时继续在Exadata上运行。 这个新功能将在Oracle AI World期间得到更充分的描述，据Oracle软件开发组副总裁贾世 according在接受CUBE采访时表示。
“在今年6月之前，没有人能够以现场直播的方式将运行RDMA的数据库VM从一个主机移动到另一个主机。” “因此，我们非常高兴地宣布，我们最终解决了这一技术挑战。 客户能够将运行中数据库的VM全部RDMA连接完整地从一个服务器转移到另一个服务器。
CUBE 事件实时流
别错过CUBE在10月28日报道的Oracle AI World. 此外，您可在活动结束后按要求访问 CUBE 的独家内容。
如何观看CUBE访谈
包括CUBE的专用网站和YouTube频道。 您也可在 SiliconANGLE 上获得今年事件的所有报导。
CUBE播客
SiliconANGLE的"TheCUBE Pod"可以在Apple Podcasts,Spotify和YouTube上获得，你可以在上路时享受。 SiliconANGLE的John Furrier和Dave Vellante讨论企业技术的最大趋势
SiliconANGLE还制作了我们的每周"Breaking Analysis"节目，Vellante在节目中考察了企业技术方面的主要发展，将CUBE的见解与企业技术研究的支出数据结合起来，在Apple Podcasts,Spotify和YouTube上可以获得。
来宾
在10月28日的Oracle AI World上，CUBE将与Oracle领导和行业主管商谈将代理AI整合到企业工作流程，将信任的数据与智能自动化连接起来，并大规模解决AI的基础设施，安全和治理要求。
(*披露：CUBE是Oracle AI World的付费媒体合作伙伴。 无论是CUBE事件报道的发起人Oracle还是其他发起人，都没有对CUBE或SiliconANGLE上的内容进行编辑控制。 ).
图片：SiliconANGLE
SiliconANGLE联合创始人John Furrier的留言：
支持我们的使命，通过与CUBE社区接触，保持内容的开放和自由。 加入CUBE的校友信托网络，其中技术领导者相互连接，分享情报，创造机会。
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关于 SiliconANGLE 媒体
SiliconANGLE Media由技术视觉家约翰·弗瑞尔(John Furrier)和戴夫·韦兰特(Dave Vellante)创立，构建了产业领先数字媒体品牌的动态生态系统，达到1500+百万精英技术专业人士。 利用CUBEAi.com神经网络，帮助科技公司以数据为导向做出决策
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What to expect during Oracle AI World: Join theCUBE Oct. 28
The motivation behind database modernization has traditionally been greater efficiency and cost savings. Yet, theCUBE Research has also found that there is a larger prize at stake: AI projects built on top of a modernized foundation can generate significant value.
The ultimate goal is to progress beyond a fragmented data estate, which can slow teams down and make governance more difficult. AI projects need to be repeatable and scalable in production, and this will be a central focus of discussion during Oracle AI World in Las Vegas later this month.
“For Oracle customers, the strategic question is becoming: Are we simply reducing infrastructure cost, or are we creating a better platform for repeatable AI execution?” said theCUBE Research’s Dave Vellante. “The value is not only in automation, standardization and operational efficiency. The bigger opportunity is using that foundation to get onto the AI learning curve earlier, free skilled teams from routine administration, improve governance consistency and accelerate the development of AI use cases over time. Database modernization is still an IT decision. But, increasingly, it is also an AI readiness decision that impacts all parts of the business.”
TheCUBE, SiliconANGLE Media’s livestreaming studio, will be covering the latest news and announcements from Oracle AI World in Las Vegas, Oct. 28. The coverage will feature on-site reporting and exclusive interviews with Oracle executives and industry leaders as theCUBE explores how Oracle is integrating agentic AI into enterprise workflows, connecting trusted data with intelligent automation and addressing the infrastructure, security and governance requirements of AI at scale. (* Disclosure below.)
Database modernization to ensure trust
The upcoming Oracle event will offer an opportunity for the company to showcase recent advancements in a number of key product areas. One of these involves the implementation of guardrails and trust.
AI-generated solutions need to be accurate, secure and reliable for enterprises to trust their results. This has become essential as autonomous agents build applications and take actions, according to Juan Loaiza, executive vice president of mission-critical database technologies at Oracle.
“Guardrails don’t cut it. You can’t simply drop AI on top of an architecture that was never designed for these challenges AI brings and expect it to work,” said Loaiza during a pre-event conversation with theCUBE. “What we’re doing is different. We’re ensuring trust across the entire technology stack. The only way we think is possible to build AI solutions that we can trust is to architect the whole thing together — AI, data and AppDev all in one whole.”
Earlier this year, Oracle outlined its three-pronged strategy to address security challenges brought about by the wider use of artificial intelligence. AI systems have created new paths to sensitive enterprise data, and Oracle has implemented a set of tools geared toward database security, patching, testing and lifecycle management.
“There’s so much optimism on AI and how it can improve productivity, but there’s also a lot of concern when it comes to cyberattacks,” said Arpan Shah, senior VP of Oracle Database at Oracle, during a recent interview with theCUBE. “One of the key focus areas for us in Las Vegas is to really show what we’re doing in the product, how we’re designing features to really start at the data layer and go all the way to the app layer to help customers move from AI prototypes to trusted AI apps at scale.”
Enhancements for Lakehouse and AI Database technologies
Another primary area of focus involves intelligent data architecture. Oracle’s Autonomous AI Lakehouse combines the company’s Autonomous Database capabilities with the open table format of Apache Iceberg to deliver an interoperable foundation for analytics that spans every major cloud.
Oracle will be unveiling a number of new capabilities in Autonomous AI Lakehouse, according to Nipun Agarwal, SVP of Oracle Autonomous AI Lakehouse at Oracle.
“The lakehouse is transforming from being an analytic platform into a decision backbone for enterprise AI,” Agarwal told theCUBE. “What that means is basically that in the past, customers would come to a lakehouse for running their analytic workloads. But, now, lakehouse is the right, appropriate platform both for analytic as well as AI workloads.”
Oracle’s Autonomous AI Database also provides a fully automated, cloud-based data platform that uses machine learning and artificial intelligence to manage, tune, patch and secure itself. Its multicloud capabilities give enterprises the choice of running in Oracle Cloud Infrastructure or on Oracle managed services in Amazon Web Services Inc., Microsoft Azure and Google Cloud. Offering multimodal data management, the database supports transactional and analytical processing while helping standardize and automate database operations.
“We’ll be talking a lot about building and integrating AI agents with Autonomous AI Database at AI world, of course,” said Çetin Özbütün, EVP of Autonomous AI Database technologies at Oracle, during an appearance on theCUBE. “But if you’re only looking at how LLMs interact with enterprise data from an application standpoint, you’re missing a big part of the picture. An often overlooked ingredient is that AI applications need to be built on the right data foundation. And that is where the real strengths of Autonomous AI Database come in.”
New platform capabilities
Oracle’s platform capabilities have been further enhanced this year with the introduction of features such as APEXlang. The human-readable application definition language gives leading coding agents a structured application target while Oracle manages the runtime, security and application lifecycle.
“What APEXlang does is it takes all this configuration or all these properties that you define with a low-code system traditionally through a user interface, but it’s captured in a formal language with a formal grammar and that can be compiled,” said Mike Hichwa, SVP of software development at Oracle, during a recent conversation with theCUBE. “So, you can use a coding agent like Codex or Claude, and you just simply say, ‘Build me an application to do something.’ And it will generate this language.”
Oracle has been gradually extending its high-availability Exadata service to target AI and location-sensitive use cases. However, live migration of database VMs running Remote Direct Memory Access in Exadata has been nearly impossible.
In June, Oracle announced Exadata VM Live Migration, a capability that allows a live Oracle Database to move between hosts while continuing to operate on Exadata. This new feature will be more fully described during Oracle AI World, according to Jia Shi, group vice president of software development at Oracle, in an interview with theCUBE.
“Before this June, nobody could actually move their database VM running RDMA from one host to another in a live fashion,” Shi said. “So, we are really happy to announce that we finally solved that technical challenge. This is truly unique in the sense that we’re able to launch the capability on Exadata where customers can move their database VM running an active database workload with all the RDMA connections intact from one server to another.”
TheCUBE event livestream
Don’t miss theCUBE’s coverage of the Oracle AI World on Oct. 28. Plus, you can access theCUBE’s exclusive content on demand after the event.
How to watch theCUBE interviews
We offer various ways for you to watch theCUBE’s coverage of Oracle AI World, including theCUBE’s dedicated website and YouTube channel. You can also get all the coverage from this year’s events on SiliconANGLE.
TheCUBE podcasts
SiliconANGLE’s “theCUBE Pod” is available on Apple Podcasts, Spotify and YouTube, which you can enjoy while on the go. During each podcast, SiliconANGLE’s John Furrier and Dave Vellante discuss the biggest trends in enterprise tech, including AI, cloud, cybersecurity and infrastructure, with context and analysis.
SiliconANGLE also produces our weekly “Breaking Analysis” program, where Vellante examines major developments in enterprise tech, combining insights from theCUBE with spending data from Enterprise Technology Research, available on Apple Podcasts, Spotify and YouTube.
Guests
At Oracle AI World on Oct. 28, theCUBE will speak with Oracle leaders and industry executives about integrating agentic AI into enterprise workflows, connecting trusted data with intelligent automation, and addressing the infrastructure, security and governance requirements of AI at scale.
(* Disclosure: TheCUBE is a paid media partner for Oracle AI World. Neither Oracle, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
Image: SiliconANGLE
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About SiliconANGLE Media
Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Our new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.
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