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AI Governance: Break open the black box

IBM Big Data Hub

Customers, employees and shareholders expect organizations to use AI responsibly, and government entities are demanding it. Failure to meet regulations can lead to government intervention in the form of regulatory audits or fines, damage to the organization’s reputation with shareholders and customers, and revenue loss.

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Bring light to the black box

IBM Big Data Hub

Challenges around managing risk and reputation Customers, employees and shareholders expect organizations to use AI responsibly, and government entities are starting to demand it. It drives an AI governance solution without the excessive costs of switching from your current data science platform.

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AI Governance: Why our tested framework is essential in an AI world

Collibra

As we speed into a new AI era, there’s a critical element that’s often missing when organizations rush forward in hyper-competitive markets to build scalable, trusted AI programs — and that’s AI governance. An AI governance framework offers a blueprint for how to create successful AI products.

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3 key reasons why your organization needs Responsible AI

IBM Big Data Hub

This necessitates the detection of bias during data acquisition, building, training, deploying and monitoring models. Protect and scale against government regulations AI regulations are growing and changing at a rapid pace and noncompliance can lead to costly audits, fines and negative press. So what is AI governance?

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Reltio Named a Leader in the 2021 Forrester Wave™ Report for MDM

Reltio

“The Reltio MDM solution is part of the Connected Data Platform, which supports all data types in real time for operational, analytical, and data science use cases.”. Reltio scored well in matching, context, governance, business templates, deployment, security, and scalability.

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