The Collibra community gathered in Orlando, Florida this week for the company's annual Data Citizens conference. In addition to educational sessions and keynotes on the importance of data intelligence, attendees learned about the company's latest product, Collibra AI, which aims to help customers gain more control over the AI models they deploy into production. We got our first glimpse of Governance.
Companies around the world are rushing to develop AI solutions to improve their operations in a variety of ways. Generative AI, in particular, is attracting the attention of executives and board members who recognize that their competitive advantage is at stake. Hundreds of billions of dollars are flowing into AI development and AI startups.
However, the deployment of AI applications into production has been slower than expected. One reason for this is uncertainty about how AI models will perform and the business risks that uncertain models can pose in terms of bias, inaccuracy, and legal and ethical concerns. New regulations such as the European Commission's AI Act will soon impose penalties on boards of directors for companies that recklessly deploy AI.
Collibra seeks to address these concerns with the latest component of its data intelligence platform: AI Governance. First published in February and now generally available, AI Governance minimizes the risk of AI deployments by increasing visibility into how AI models perform and automating governance workflows around them. Designed to minimize costs and maximize return on investment.
As part of Collibra's Data Intelligence Platform, AI Governance enables customers to manage AI models alongside the controls they use to manage and govern their data. Collibra started as a data catalog provider before expanding into broader data governance efforts. The company sees a lot of value in managing AI models within the context of the data used for training.
To that end, Data Intelligence integrates directly with the Collibra Data Catalog as well as the data security and privacy components of the Data Intelligence Suite. This allows you to ensure that the data used to train your AI model does not violate data security or privacy guidelines. . This gives Collibra and its customers the ability to control access to data, particularly personally identifiable information (PII).
AI governance goes beyond technical control to ensure that data science or AI development teams share ideas about AI applications, define use cases, and share important details such as goals, business value, and roles associated with the application. Provide a place to document. AI model. AI Governance allows customers to start building their own AI Catalog by registering ideas and tracking the development of AI models along with the data used to train them.
Once the model is developed, AI governance documents the relative risks associated with AI applications, including risks to privacy, intellectual property, ethics, and compliance. The software provides a dashboard that provides management and legal teams with a description of risks and their relationship to applicable policies.
AI governance provides a place to monitor and track AI model training over time, including accuracy rates and other metrics. This gives customers a way to determine how their models change as they move from training to production.
In addition to announcing the GA of AI Governance, Collibra also announced the launch of Collibra AI, a new generative AI feature set to automate some data quality and governance tasks within the Data Intelligence Platform.
Collibra AI enables customers to automatically generate SQL-based data quality rules from natural language using large-scale language models (LLMs). It also helps with data curation by leveraging LLM's language generation capabilities to automate the description of data assets.
These two announcements, Collibra AI and AI Governance, represent Collibra's largest investment in GenAI and LLM to date.
With the general availability of Collibra AI Governance and the announcement of Collibra AI, we are committed to harnessing the power of AI to help data teams work faster and more efficiently,” said Collibra Chief Product Officer said Laura Sellers in a press release. . “By ensuring that all data is trusted, a data leader can reduce the risk of her AI use and instead use it to drive responsible innovation within the organization.”
Collibra also announced a major overhaul of the look and feel of its flagship data catalog product and data intelligence platform. The company also announced the launch of Collibra Data Notebook, which provides customers with a SQL-based method to extract information from the Collibra platform.
Collibra Data Notebook builds on the company's acquisition last September of Husprey, which developed SQL notebook products. Collibra leveraged its investment to launch new SQL notebooks that are fully integrated with data catalog and data governance solutions.
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