AI is no longer a tech experiment; it’s a P&L line item that drives real business impact, but real results depend on more than selecting the right tools. Data quality, process maturity, security controls, governance and workforce readiness determine if AI delivers value or creates unnecessary risk.
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Similar to other major AI developers, Google has been facing several lawsuits that challenge the tech giant’s alleged use of copyrighted materials to train its AI models. Against that backdrop, Google’s white paper on AI policy, A Pragmatic Approach to AI Governance in America, appears to present a balanced approach to facilitating continued innovation on…
Artificial intelligence is driving unprecedented demand for data center capacity, prompting states across the country to reconsider how these facilities are taxed, regulated, and integrated into existing infrastructure. As policymakers weigh the economic benefits of AI-driven investment against growing concerns over electricity demand, grid reliability, water consumption, and public costs, the focus is shifting from…
Data centers have become critical infrastructure for the modern economy. Artificial intelligence models, cloud platforms, financial systems, healthcare applications, defense technologies, cybersecurity platforms and communications networks all rely on physical computing infrastructure capable of storing and processing vast volumes of information. According to the Electric Power Research Institute (EPRI), data centers currently consume approximately 4%…
