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AI Governance: Break open the black box

IBM Big Data Hub

Multiple unsupported tools for building and deploying models. Well-planned and executed AI requires reliable data backed by transparent, automated tools and explainable processes. AI governance is an overarching framework that uses a set of automated processes, methodologies and tools to manage an organization’s use of AI.

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Bring light to the black box

IBM Big Data Hub

Success in delivering scalable enterprise AI necessitates the use of tools and processes that are specifically made for building, deploying, monitoring and retraining AI models. Building responsible AI requires upfront planning, and automated tools and processes designed to drive fair, accurate, transparent and explainable results.

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Collibra Data Intelligence: tackle 2023’s biggest data challenges

Collibra

Privacy and protection regulations are growing in numerous industries (such as financial services) and geographic regions (including the EU, Australia, California, and Nevada). Plus, you can deploy on-premises, or in cloud environments, and structure data to meet the needs of your teams. Collibra is flexible and open.

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How to responsibly scale business-ready generative AI

IBM Big Data Hub

This is especially true in highly regulated industries such as financial services and healthcare where the tolerance is very low for unethical, biased decisions based on incomplete or inaccurate data and models can have detrimental repercussions. Of utmost importance is to align with trusted technologies and enterprise capabilities.

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Collibra and Amazon Web Services (AWS) partnership reaches new heights

Collibra

And many continue to struggle with making this a reality, especially in highly fragmented data landscapes.

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CCAR MRAs: 6 abilities you need

Collibra

Others may deliver the ability to manage critical data elements, metadata, and data quality testing. . They enable you to replace Excel, Sharepoint, and time consuming meetings and email chains with automated tasks, so you can minimize time spent on compliance activities while increasing accuracy and productivity. .

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Top Data Management Trends for Chief Data Officers (CDOs)

erwin

The role of chief data officer (CDO) is becoming essential at forward-thinking organizations — especially those in financial services — according to “ The Evolving Role of the CDO at Financial Organizations: 2021 Chief Data Officer (CDO) Study ” just released by FIMA and sponsored by erwin. Manual processes remain.