Remove 2022 Remove Data Quality Remove DataOps
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Data Integrity Trends for 2024

Precisely

Trusted AI Outcomes Require a Focus on Data Integrity Everyone’s talking about artificial intelligence (AI) for its unique ability to automate or accelerate user tasks, resulting in greater efficiency and productivity and a reduced dependence on manual labor. That approach assumes that good data quality will be self-sustaining.

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Navigating the path to generative AI success across industries: A Grid Dynamics crawl-walk-run strategy

Dataconomy

Source: 2022 Gartner Hype Cycle Three generative AI technology pillars To succeed, you need to focus on developing three key foundational pillars that support generative AI’s growth. Data quality Ensure that the right data sources are tapped within your organization to avoid unreliable results.

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Fabrics, Meshes & Stacks, oh my! Q&A with Sanjeev Mohan

Alation

DataOps sprung up to connect data sources to data consumers. The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. I recently had the opportunity to connect with Mohan at Snowflake Summit 2022 in Las Vegas. Let’s take data privacy as an example.