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Good Data = Good Decisions. Without good data, it’s difficult to make good decisions. Data access, literacy and knowledge leads to sound decision-making and that’s key to datagovernance and any other data-driven effort. Data literacy enables collaboration and innovation.
Because of this, when we look to manage and govern the deployment of AI models, we must first focus on governing the data that the AI models are trained on. This datagovernance requires us to understand the origin, sensitivity, and lifecycle of all the data that we use. and watsonx.data.
Through Cloudera, OCBC built a data lake and an Enterprise Data Science platform in a private cloud environment to introduce a more resilient infrastructure and platform capable of managing projects with increasing volume, variety, and velocity of data, while also enabling real-time analytics.
Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextualdata is what enables LLMs to change from general-purpose to domain-specific knowledge. In the generative AI or traditional AI development cycle, data ingestion serves as the entry point.
This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your datagovernance strategy, but what supports your data catalog? Your metadata management framework provides the underlying structure that makes your data accessible and manageable.
With a data catalog, Alex can discover data assets she may have never found otherwise. An enterprise data catalog automates the process of contextualizingdata assets by using: Business metadata to describe an asset’s content and purpose. A business glossary to explain the business terms used within a data asset.
The emergence of IoT, cloud computing, and big data analytics combined with AI tech has brought enterprises to a tipping point in their journey towards making AI real. BRIDGEi2i is a trusted partner for enabling AI for Digital Enterprises by leveraging Data Engineering, Advanced Analytics, proprietary AI accelerators and Consulting expertise.
In fact, data professionals spend 80 percent of their time looking for and preparing data and only 20 percent of their time on analysis, according to IDC. The solution is data intelligence. It improves IT and business data literacy and knowledge, supporting enterprise datagovernance and business enablement.
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