Fast Company Executive Board member Deepti Kunupudi shares best practices for fairness, transparency, accountability, and privacy in AI.
In today’s rapidly evolving digital landscape, the value of data cannot be overstated. Data has become the lifeblood of innovation, driving decisions, shaping industries, and transforming how we live ...
Safety, security, accuracy, reliability and confidentiality of personal information remain at the top of the priority list of African countries working on improving their data governance frameworks.
In this special guest feature, Amandeep Kurana, Chief Executive Officer and Co-founder at Okera, provides six important tenets of data lake access control and governance – Data-Centricity, Rich Access ...
Boost your organization's potential with comprehensive data governance, from C-suite support to data quality assurance, retention rules and more. As critical as data is for organizations to flourish ...
The pharmaceutical industry is on the cusp of an AI-driven revolution. By 2030, AI-powered drug discovery is projected to be a $9.1 billion market, growing at a staggering 29.7% CAGR. AI promises to ...
Be certain about who needs access to data, the purpose the data will be put to, and that the data is of good quality. Those are among the key principles of data management put forward by Chris Gorton, ...
In today’s business environment, one thing that is not in short supply is data. But managing that data, and turning it into accurate decision-useful insight, is much harder to do. It’s an issue that ...
More than any other factor, the hyperabundance of accessible data has powered today’s surge in AI adoption and generative AI capability. Collecting, cleaning, organizing, and securing that data for AI ...
The G7 Summit, held from May 19 to 21, 2023, left a strong impression of unity among global leaders. Emerging technology such as artificial intelligence (AI), along with national security and energy, ...
The ongoing dive into modernity—and all the new technologies and hype trains that come along with it—requires a modern data architecture to support it. With this architecture comes a variety of other ...
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