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Three data-driven trends to watch in financial services in 2022

Collibra

The financial services industry has had a longstanding tradition of being at the forefront of adopting new technologies. In a recent webinar titled “ Maximizing Value from Cloud with Data Governance ”, speakers from Deloitte and Collibra shared best practices for driving successful cloud migration initiatives. Next Steps: .

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7 Questions to Determine if Your Data is an Asset

AIIM

FREE Webinar: Learn more from this Case Study on Leveraging Data to Transform Customer Experience]. Knowledge and documentation metadata? It’s important to understand what data you have, why you have it, and why you need it - it's then that your data can be leveraged as an asset. Is your data an asset? Data architects and engineers?

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erwin’s Predictions for 2021: Data Relevance Shines at the End of the Tunnel

erwin

In highly regulated environments, such as financial services, healthcare and pharma, attestations, audit trails and compliance reporting are required regardless of circumstances and will be difficult with a manual, laborious approach. Click here to learn more and register.

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AI Governance: Break open the black box

IBM Big Data Hub

With the growing number of AI regulations, responsibly implementing and scaling AI is a growing challenge, especially for global entities governed by diverse requirements and highly regulated industries such as financial services, healthcare and telecom. Register for AI Governance webinar. Where do you go from here?

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Accelerate IFRS-17 Compliance with Data Intelligence Cloud

Collibra

With Collibra Data Intelligence Cloud, insurers can: Rapidly catalog all their data regardless of where it resides to create a single, trusted repository of metadata (data about data). Mandar Mahaja is a Sales Engineer at Collibra who works closely with our insurance and financial services customers. Next Steps.

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Speed innovation and FRTB compliance in asset management with Data Intelligence Cloud

Collibra

To ensure adherence to FRTB and other regulations, asset managers will require a comprehensive and modern approach to metadata management by leveraging advanced automation that’s powered by machine learning to catalog, govern, cleanse and protect their data at scale. Accelerate data democratization and self-service analytics.