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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
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
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
IBM named a leader in The Forrester Wave™: Enterprise Data Fabric, Q2 2022
Deliver on your data strategy with a data fabric
Collecting multiple community viewpoints after a crime
Fighting for fairer sentences with data and AI
Jo Ann Hill
We must check for racial bias in our machine learning models
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