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Big tech’s AI spending hits new heights

AI News

Their combined spending on AI is projected to exceed a jaw-dropping $240 billion. Because AI isn’t just the future—it’s the present, and the demand for AI-powered tools and infrastructure has never been higher. AI’s potential is immense, and companies are making sure they’re positioned to reap the rewards.

Big Data 304
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AI in 2025: Purpose-driven models, human integration, and more

AI News

As AI becomes increasingly embedded in our daily lives, industry leaders and experts are forecasting a transformative 2025. From groundbreaking developments to existential challenges, AIs evolution will continue to shape industries, change workflows, and spark deeper conversations about its implications.

ESG 311
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Keeping an AI on Diabetes Risk: Gen AI Model Predicts Blood Sugar Levels Four Years Out

NVIDIA

A generative AI model can now predict the answer. and NVIDIA led the development of GluFormer , an AI model that can predict an individual’s future glucose levels and other health metrics based on past glucose monitoring data. trillion globally by 2030. billion people.

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The hidden climate cost of AI: How tech giants are struggling to go green

AI News

As AI takes centre stage in Silicon Valley, an inconvenient truth is emerging behind the scenes: AI has a massive carbon footprint. Microsoft revealed that its carbon emissions had surged nearly 30% since 2020, mainly due to the construction and operation of energy-hungry data centres needed to power its AI ambitions.

Big Data 338
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The merging of AI and blockchain was inevitable – but what will it mean?

AI News

At first glance, AI and blockchain seem like completely disparate realms. On the other hand, AI thrives on massive datasets and demands high-performance computing. Morgan Stanley’s AI power consumption prediction (best-case scenario) The best of both worlds is here.

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Synthetic Data: A Double-Edged Sword for the Future of AI

Unite.AI

The rapid growth of artificial intelligence (AI) has created an immense demand for data. Traditionally, organizations have relied on real-world datasuch as images, text, and audioto train AI models. According to Gartner , synthetic data is expected to become the primary resource for AI training by 2030.

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Blockchain could solve the monopolised AI ecosystem

AI News

The AI industry has always been the “futuristic view” for humans, whether in movies, cartoons, or real life. This growth is expected to continue at a rapid pace into the last years of the decade, with Statista predicting the $184 billion industry will grow to nearly $900 billion by 2030.