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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. Some of these risks include: 1.
EA and BP modeling squeeze risk out of the digital transformation process by helping organizations really understand their businesses as they are today. 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. Do it faster.
To keep pace as banking becomes increasingly digitized in Southeast Asia, OCBC was looking to utilize AI/ML to make more data-driven decisions to improve customer experience and mitigate risks. While these are great proof points to demonstrate how business value can be driven by AI/ML, this was only made possible with trusted data.
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.
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. In many developing countries, low-weight newborn babies face a serious survival risk. Download Whitepaper. Coping With The New Normal. Back to News Page.
It also serves as a governance tool to drive compliance with data privacy and industry regulations. In other words, a data catalog makes the use of data for insights generation far more efficient across the organization, while helping mitigate risks of regulatory violations. Protected and compliant data.
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