Analyst Insight
     
    Remove Translation Translation
    Original Text

    Qlik’s new agentic experience aims to bridge the gap between data, decisions, and outcomes, with a goal of helping customers overcome a lack of seamless data access, slow time to insight, and limited user adoption. Much of agentic experience highlights Qlik’s deep understanding of the market need for intelligent automation and self-service analytics. And Qlik is looking to achieve this through natural language interactions. By extending the chat interface of Qlik Answers to not only empower organizations to analyze both structured and unstructured data, which is an excellent capability on its own, but also to serve as the entry point to agentic experience, the ability to interact with data through natural language, combined with automated action capabilities, will significantly lower the barrier to entry for all employees.

    Qlik的新代理体验旨在弥合数据、决策和结果之间的差距,目标是帮助客户克服缺乏无缝数据访问、洞察时间缓慢和用户采用率有限的问题。许多代理经验凸显了Qlik对市场对智能自动化和自助分析需求的深刻理解。而且 Qlik 希望通过自然语言交互来实现这一目标。通过扩展Qlik Answers的聊天界面,不仅使组织能够分析结构化和非结构化数据(这本身就是一项出色的能力),而且还可以作为代理体验的切入点,通过自然语言与数据进行交互的能力与自动操作功能相结合,将大大降低所有员工的进入门槛。

    The success of agentic experience hinges on several critical factors. The quality and reliability of the underlying Qlik-provided AI agents are paramount. It’s not just about accuracy and relevancy of answers, which Qlik customers can attest is already delivered via Qlik Answers, but explaining the reasoning in a clear and understandable way will go a long way in delivering greater trust. This explains why Qlik is emphasizing the "trusted answers" aspect so heavily. For organizations to trust actions taken by underlying agents, providing more information about agent guardrails and how these guardrails will be extended to customers should be prioritized by Qlik. Additionally, Qlik should be focused on delivering additional specialized agents that will enhance how organizations can interact with and act upon data and insights.

    代理经验的成功取决于几个关键因素。Qlik 提供的底层 AI 代理的质量和可靠性至关重要。这不仅关系到答案的准确性和相关性,Qlik客户可以证明答案已经通过Qlik Answers提供,而且以清晰易懂的方式解释原因将大大有助于增强信任。这解释了为什么 Qlik 如此重视 “可信答案” 方面。为了使组织信任底层代理采取的行动,Qlik应优先提供有关代理护栏以及如何将这些护栏扩展到客户的更多信息。此外,Qlik应专注于提供额外的专业代理,以增强组织与数据和见解互动并根据数据和见解采取行动的方式。

    The accelerating demand for intelligent, autonomous analytics highlights a critical shift in how organizations seek to leverage data, moving from static reports to dynamic, proactive solutions. Qlik's new agentic experience directly addresses this by providing an AI framework where specialized agents reason, plan, and initiate actions, offering not only built-in capabilities but also the flexibility for customers to integrate their own custom agents. Embracing such advanced, AI-driven frameworks is becoming essential for businesses aiming to overcome data silos, accelerate decision cycles, and achieve greater agility in today's complex market.

    对智能自主分析的需求不断增长,凸显了组织寻求利用数据的方式发生了关键转变,即从静态报告转向动态、主动的解决方案。Qlik的新代理体验通过提供人工智能框架直接解决了这个问题,专业代理可以在该框架中推理、计划和启动行动,不仅提供内置功能,还为客户提供了集成自己的自定义代理的灵活性。对于旨在克服数据孤岛、加快决策周期并在当今复杂市场中实现更大灵活性的企业而言,采用这种先进的人工智能驱动框架已变得至关重要。