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2024 Governance Trends for Data Leaders

phData: Data Engineering

In an effort to better understand where data governance is heading, we spoke with top executives from IT, healthcare, and finance to hear their thoughts on the biggest trends, key challenges, and what insights they would recommend. Get the Trendbook What is the Impact of Data Governance on GenAI?

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Top 5 Data + AI Predictions for Financial Services in 2024

Snowflake

Financial services organizations need a modern data platform that allows them to anonymize data and share it without moving or copying it or risking the exposure of PII. Increasingly, financial institutions will monetize their data through apps and data marketplaces.

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Generative AI and Its Role in Innovation for Telecom Services

RandomTrees

The considerable amount of unstructured data required Random Trees to create AI models that ensure privacy and data handling. One of the most burning issues is customer churn, which occurs when customers are either dissatisfied or disengaged and then switch providers.

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How DataOS Nails Gartner’s Magic Quadrant for Data Integration

The Modern Data Company

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

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The DataOps Vendor Landscape, 2021

DataKitchen

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . DVC — Open-source Version Control System for Machine Learning Projects … data version control. Process Analytics.

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How DataOS Nails Gartner’s Magic Quadrant for Data Integration

The Modern Data Company

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

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Driving Success With a Modern Data Architecture and a Hybrid Approach in the Financial Services and Telco Industries

Cloudera

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). However, not all these organizations will be successful in using data to drive business value and increase profits. Is yours among the organizations hoping to cash in big with a big data solution?