... Access Insights Already a Gartner client? Data and analytics leaders are seeking cloud operational databases to address the new demands for modern application development. This report showcases the capabilities of cloud operational databases and reviews use cases such as online transaction processing ...
Interested in receiving proven business and technology insights, analyst guidance, benchmarks, diagnostics and more? Connect with a Gartner representative to learn more about becoming a Gartner client.
... Organizations must adopt workflow augmentation tools to reduce alert fatigue and improve incident response, maximizing efficiency with existing resources. This research is the second in a series that helps security operations specialists understand AI SOC agents and their role in the AI-enhanced SOC ...
Analyst(s): Alex Tytarenko | Steve Santos | Kevin Schmidt
... This guide will inform new security architects about foundational security operations concepts and will educate experienced security architects about new concepts relevant to building or modernizing security operations components. Overview Analysis Recommendations Conclusion Gartner Recommended Reading Ga ...
Analyst(s): Alex Tytarenko | Steve Santos | Kevin Schmidt
... Many telcos aspire to become a techco. However, CIOs must revisit their understanding of a techco and provide a clear vision to the organization and defining characteristics to enable uniform understanding and coherent execution toward a techco. More Detail Gartner Insights Abstract ...
Analyst(s): Peter Liu | Enrique Hernandez-Valencia | Amresh Nandan | Juha Korhonen | Jouni Forsman | Mounish Rai
... 为什么开发人员借助 AI 提升了生产力，却没有带来企业整体效率的提升？AI 工具的确提升了开发人员的交付效率，但企业层面的成效却远低于预期。原因在于一系列被忽视的组织与流程瓶颈正在抵消这些局部收益，例如团队成员 AI 采用程度不均、将 AI 应用于非关键瓶颈环节、Token 使用管理、人工测试流程以及技术债务等问题。 本次网络研讨会将帮助企业识别软件工程价值流中的关键阻碍，并探索如何通过重塑软件工程组织模式、优化流程和重新定义角色，释放 AI 投资带来的真正组织价值。 •揭示阻碍 AI 价值规模化落地的关键隐性生产力瓶颈，并探讨如何识别和突破这些限制。 •探讨 AI 时代软件工程组织的转型路径 ...
... s ChatGPT Work carefully and establish controls tailored to AI agents. As ChatGPT Work expands autonomous task execution beyond software development, it introduces new governance, cybersecurity, FinOps, and oversight challenges. Analysis Gartner Recommended Reading Evolving Insights History ...
Analyst(s): Olga Martí | Sohail Majumdar | Evgeny Mirolyubov
... Access Insights Already a Gartner client? The cloud DBMS market is undergoing significant changes, including the adoption of generative AI, real-time processing and analysis, and new methods of interaction between DBMSs and other data management components. This research guides data and analytics lead ...
... The Open Semantic Interchange partnership aims to deliver semantic layer interoperability by standardizing metadata used for analytics and BI. This facilitates a composite semantic layer approach, providing portability, consistency, and reusability of semantic logic across analytics, agents, and applications ...
Analyst(s): Georgia O'Callaghan | Christopher Long | Andrés García-Rodeja
... Access Research Already a Gartner client? Suitable database management systems directly impact the efficiency, scalability, and reliability of AI agents. These DBMSs are far beyond a good vector database. Data management leaders should use this research to understand their DBMS capabilities to sustain ...