2025 AI Development Big Data 
AI News
JULY 29, 2024
This dichotomy has led Bloomberg to aptly dub AI development a “huge money pit,” highlighting the complex economic reality behind today’s AI revolution. At the heart of this financial problem lies a relentless push for bigger, more sophisticated AI models.
AI News
NOVEMBER 15, 2024
Taking a proactive stance to AI regulatory guidance The EU AI Act , which came into force on 1 August 2024, mandates that the final version of this Code be ready by 1 May 2025. This initiative underscores the EU’s proactive stance towards AI regulation, emphasising the need for AI safety, transparency, and accountability.
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AI News
OCTOBER 24, 2024
billion investment in AI skills, security, and data centre infrastructure, aiming to procure more than 20,000 of the most advanced GPUs by 2026. billion in computing capacity and committed to building three new supercomputers by 2025. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.
AI News
MAY 29, 2024
He reportedly informed investors that the goal is to launch this new data centre by fall 2025, marking a significant step forward in xAI’s technological capabilities. Continuing this AI race for chips, talent, and technology will be expensive. Musk has ambitious plans for these powerful resources.
AI News
OCTOBER 26, 2023
Safety and security risks of generative AI to 2025: Drawing on intelligence assessments, this report outlines the potential global benefits of generative AI while highlighting the increased safety and security risks. AI could aid hackers in mimicking official language, and overcome previous challenges faced in this area.
AI News
JUNE 14, 2024
The European Union recently introduced the AI Act, a new governance framework compelling organisations to enhance transparency regarding their AI systems’ training data. Implementing the AI Act The EU’s AI Act , intended to be implemented gradually over the next two years, aims to address these issues.
Aiiot Talk
JUNE 16, 2023
AI is transforming numerous sectors of society, from chatbots providing customer support to systems diagnosing diseases and predicting market trends. As AI’s presence grows, so do privacy concerns. AI and machine learning tools rely on big data to learn and improve. One example of this can be seen in Canada.
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