For healthcare data strategy projects, there are four essential elements to turn aspiration into a plan for recurring ...

Businesses are scurrying to adopt artificial intelligence (AI) tools as more become available, but most have not implemented the necessary metrics to measure the returns on their investment. Many also ...

Nguyen Thanh Hoa, Deputy Director of the HCMC Digital Transformation Center, has spoken about the importance of a roadmap for ...

Transparency and accountability are two guiding principles that form the core of the Department of Agriculture’s new data strategy, the blueprint for handling sensitive data within the agency from ...

As artificial intelligence becomes more accessible across higher education, institutions are rethinking long-standing ...

Ultimately, it all comes down to data. This is according to Chris Millet, a Baker Tilly director specializing in client engagement and managed services during a talk Thursday at the Finance and ...

Artificial intelligence is no longer just a buzzword; it's a transformative force reshaping industries, from healthcare to finance to retail. However, behind every successful AI system lies an ...

Key questions to address in AI governance include what important regulatory compliance is needed, what data can be used in training AI models, what data must not be shared with public LLMs, and what ...

Gokul Subramanian has consistently demonstrated his ability to drive business transformation through data. With over 18 years of experience in leading large-scale data programs and implementing ...

Data governance isn't optional; it's essential for harnessing AI's full potential in content management and data integrity. “Good governance depends on the ability to take responsibility … it has to ...