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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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#ModernDataMasters: Martin Squires, The Analysis Foundry

Reltio

Martin Squires is a leader with extensive experience in customer insight, marketing analytics & data science. Selected for the last 5 years as a member of the Data IQ Data 100 , Martin has considerable experience helping organisations drive value from building a deeper understanding of their customers.

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

Reltio

Reltio is a good fit for companies looking for a comprehensive, cloud-based MDM solution across multiple domains.”. “[ Reltio] leverages modern capabilities such as AI/ML, knowledge graph, and embedded analytics to support large and complex MDM deployments.”. Multiple Use Cases and Data Domains.

MDM 98
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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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How to choose the best AI platform

IBM Big Data Hub

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

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The Business of Data Newsletter – Issue 7 (7 December 2018)

Information Matters

What Great Data Analysts Do — and Why Every Organization Needs Them – Harvard Business Review, 4 December 2018. “The top trophy hire in data science is elusive, and it’s no surprise: a “full-stack” data scientist has mastery of machine learning, statistics, and analytics. ” [link].

IoT 40
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Digital Enterprises: Built on Modern MDM

Reltio

While sharing his outlook at the third Modern Data Management Annual Summit in 2019, Aaron Zornes , Chief Research Officer, The MDM Institute, outlined the capabilities required for the next generation MDM platform. According to him, Graph Technology provides the missing link between domains, data analytics, and IoT.

MDM 40