[卡尔]企业如何实现AI治理?Collibra 提供新解决方案

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Collibra联合创始人兼首席执行官FelixVandeMaele在独家视频通话采访中表示:“人们一致认为,人工智能正在成为几乎每个组织的关注焦点,但每个组织都明白他们需要以正确的方式开发人工智能。”
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到目前为止,世界上大多数企业已经意识到生成式人工智能将继续存在,他们应该至少在一定程度上使用它来进行运营。

但如何以安全可靠的方式做到这一点,并实现“人工智能治理”(该术语用于跟踪组织内的人工智能部署和数据使用情况)?

总部位于纽约市和比利时布鲁塞尔的数据治理公司 Collibra 正在推出专门为解决这一问题而量身定制的新解决方案。

Collibra 联合创始人兼首席执行官 Felix Van de Maele 在独家视频通话采访中表示:“人们一致认为,人工智能正在成为几乎每个组织的关注焦点,但每个组织都明白他们需要以正确的方式开发人工智能。”与 VentureBeat 合作。

今天发布的新产品 Collibra AI Governance 有望通过确保部署的安全性、效率和可信性来重新定义组织实施 AI 的方式。

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AI 影响之旅 – 纽约

我们将于 2 月 29 日在纽约与微软合作,讨论如何平衡人工智能应用的风险和回报。

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弥合组织技术和政策之间的差距

它作为 Collibra 数据智能平台的一个组成部分而开发,旨在弥合数据、人工智能和法律合规性之间的关键差距。

它使这些领域的团队能够有效协作,确保人工智能项目符合法律和隐私要求,最大限度地降低数据风险,并提高模型性能和投资回报 (ROI),从而加快从概念到生产的过程。

Van de Maele 告诉 VentureBeat,它还通过在整个人工智能采用过程中的每一步为组织提供帮助,从“构思到交易到模型开发,到实际投入生产并持续监控”。

“这一切都是关于‘如何在整个生命周期中支持整个人工智能用例?’”

这不仅适用于一种人工智能解决方案或平台,还适用于任何给定组织使用人工智能的所有方式。

Collibra AI Governance 的独特之处在于提供对 AI 项目的直观管理和监控,确保敏感数据保护,并提高对 AI 用例的透明度和理解。

“The biggest challenge is ensuring true visibility across the whole organization about who’s doing what and how exactly,” Van de Maele said. “It’s more than documentation. It’s also the workflow...to ensure that things are done in the right way.”

It achieves this by sitting atop and integrating with existing Collibra data management offerings for customers, including the Collibra Data Catalog, Collibra Data Quality & Observability, Collibra Data Privacy, and Collibra Protect.

A new approach to risk management and mitigation

The imperative for robust AI governance is underscored by findings from a recent IDC survey, which revealed that while 71% of companies are already harnessing AI, the pathway to its successful implementation is fraught with potential pitfalls.

From model bias and inaccuracies to legal and ethical conundrums, the challenges are many, posing significant risks to an organization’s reputation and financial health. Just take a look at how Google’s reputation and even its stock valuation have suffered in the days since users began criticizing its Gemini AI model for producing racially confused imagery and philosophically bizarre responses.

Collibra’s AI Governance solution is meticulously crafted to mitigate these risks by providing a comprehensive framework for AI governance.

This includes streamlined compliance processes, risk mitigation strategies, and mechanisms to enhance model performance and ROI. By enabling a unified platform for governing both AI and the underlying data, Collibra aims to dispel the concerns surrounding AI adoption.

And all of this is included as an “add-on” module to Collibra’s existing Data Intelligence Platform.

Laura Sellers, Collibra’s chief product officer, provided a statement in a press release that emphasized the product’s value proposition, noting the prevalent organizational desire to prioritize AI amidst concerns over its unpredictability and the potential for adverse outcomes.

“With Collibra AI Governance, we’re helping to eliminate the concerns of CIOs, CDOs, data leaders, and legal teams by providing a unified platform to govern AI and the data that drives it with automated workflows, processes, and policies to deliver trusted AI across the organization,” Sellers stated.

Endorsements from key figures in the wider enterprise software world

Industry leaders are further validating and endorsing Collibra’s new offering. Dan Yu, Senior Vice President of Marketing and Solutions, Data and Analytics at SAP SE, lauded Collibra AI Governance for its potential to ensure the ethical and responsible use of AI across organizations.

As Collibra AI Governance is set to be showcased at the upcoming Gartner Data & Analytics Summit in Orlando, Florida, from March 11-13, 2024.

By addressing the complex challenges that come with AI projects, Collibra is not just offering a product but a promise of AI that is both powerful and principled.

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