AI Results Based on Governed Data
AI Runs on Data.
Governed AI Runs on Governed Data.
Investments in AI are delivering improved business results from better decision-making. Governed data improves the results of AI agents by ensuring the source data is well understood, accurate, and current. The credibility of AI depends on the ability to trust the underlying data delivered by a mature enterprise Data Governance capability.
Data Governance is table stakes for advanced capabilities such as enterprise semantic layers, natural language queries, and AI applications. We partner with clients to develop the requisite processes, skills, and platforms necessary to deliver on the promise of governed AI.
Data Governance needs to address both structured data in databases, and unstructured data in documents, spreadsheets, emails, chats, audio files, and more.
AI requires more than well-governed data from structured data sources. AI also requires the business context. Unstructured data can provide the business context that enriches the value of structured data. However, unstructured data can be more difficult to govern than structured data. We can assist with unstructured data governance and with leveraging unstructured data using techniques such as knowledge engineering to uncover the context that accelerates the value of AI initiatives.
Regulatory Compliance is Harder Than Ever
Just as we got our arms around permitted use, consent, and data processing inventories, AI regulation has arrived in the EU and is being considered elsewhere. AI Governance is a new capability enterprises need to implement, while governing data risk is more urgent than ever.
Grow Your Business
Increase Business Value
Governed data leveraged by analytics, a semantic layer, natural language queries, and AI enables enterprises to improve operational performance, grow revenue, identify new market opportunities, and create new business models. The cost to acquire, process, store, protect, and distribute data is a sunk cost already being incurred. Data Governance is an incremental investment to ensure the value of existing data is maximized. Data is an asset, and it must be organized, described, protected, and continuously cleansed to fully realize its value.