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The Latest

The hidden history of Db2

In today’s world of complex data architectures and emerging technologies, databases can sometimes be undervalued ...

by Ashley Bassman | July 5, 2022

Strategizing

5 recommendations to get your data strategy right

The rise of data strategy There’s a renewed interest in reflecting on what can and should be done with data, how to ...

by Gustavo Espinosa Barrajon | June 30, 2022

The Future of RegTech for AI Governance

The use of artificial intelligence (AI) is now commonplace throughout society. The adoption of AI is driven by its ...

by Heather Gentile | June 13, 2022

Overcome these six data consumption challenges for a more data-driven enterprise

Implementing the right data strategy spurs innovation and outstanding business outcomes by ...

by Jo Ramos | June 8, 2022

Automated governance and trustworthy AI

Artificial intelligence is being infused slowly but surely into all aspects of our lives, and it will be ubiquitous in ...

by Anil Shankar | June 7, 2022

Driving AI ethics for better business and a more just world

As AI technology pushes past limits in new real-world applications, regulators, investors, and the public are pushing ...

by Jennifer Clemente | May 17, 2022

Business Analytics in the age of disruption

The 2020s have quickly been established as the age of the unexpected. Following the impacts of the COVID-19 pandemic, ...

by Rachel Su | May 12, 2022

Four use cases defining the new wave of data management

A confluence of events in the data management and AI landscape is bearing down on companies, no matter their size, ...

by Jay Limburn | May 10, 2022

citi people brainstorming in office

Using AI to reinvent the enterprise

From how businesses communicate with their customers through virtual assistants, to automating key workflows and even ...

by Inderpal Bhandari | April 29, 2022

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Deliver on your data strategy with a data fabric

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Collecting multiple community viewpoints after a crime

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Fighting for fairer sentences with data and AI

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We must check for racial bias in our machine learning models

Preetika Srivastava

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