... Data and analytics (D&A) leaders must adapt their data governance frameworks to embed AI-specific data requirements in order to support and scale AI initiatives effectively. Outcome Suggested Partners Featured Resource Step 1 Step 2 Step 3 Gartner Insights Abstract ...
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... As AI-driven data collection surges, new and evolving global regulations increase pressure on organizations to minimize and control data. This guidebook enables GC to develop and implement a defensible, organizationwide data-deletion initiative. When to Use Directions for Use Gartner Recommended Reading ...
... Access Insights Already a Gartner client? D&A leaders frequently struggle with inconsistent data quality due to attempting to govern everything at once, leading D&A teams into a cycle of firefighting against low-value issues. Shifting to a value- and risk-weighted governance approach allows leaders to ...
... Already a Gartner client? AI momentum in China is accelerating, driven by national strategies like the 15th Five-Year Plan and the “AI Plus” initiative. Data, analytics and AI leaders must cut through the hype to realize real business value and prepare for enterprise-scale AI deployment. Strategic Planning ...
Analyst(s): Julian Sun | Mike Fang | Tong Zhang | Xingyu Gu | Ben Yan | Fay Fei
... Business Outcomes by Measuring the Value of Data Literacy Empower your workforce to better understand, interpret and communicate using data with a new approach to data literacy. Data and Analytics Governance: Foundations and Future Learn the key reasons for data and analytics governance failures, and how ...
... client? A master data management solution helps organizations ensure the uniformity, accuracy and semantic consistency of an enterprise’s shared master data assets. D&A leaders should explore and adopt these solutions to meet end users’ demand for reliable and trustworthy master data. Market Definition ...
... Data architects increasingly adopt data products to drive analytics and business intelligence. However, ineffective delivery prevents data products from achieving the expected value. This framework helps data architects optimize delivery to enhance the discoverability and utilization of data products ...
... Gartner client? This edition presents the latest research on artificial intelligence governance for data and analytics leaders, drawn from proprietary surveys and lessons from your peers. Use these data-driven insights to better structure and operationalize your AI governance program to drive ROI. Strategic ...
Analyst(s): Anurag Raj | David Pidsley | Lulu Wang
... Artificially generated and augmented data enables finance teams to create new datasets or augment existing ones to train and validate analytic models when real financial data is insufficient, unavailable or too sensitive to use directly. CFOs should reference this implementation guide as they assess, ...