Remove 2030 Remove AI Modeling Remove Automation
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Big tech’s AI spending hits new heights

AI News

A growing market: AI is projected to create $20 trillion in global economic impact by 2030. In countries like India, AI could contribute $500 billion to GDP by 2025. Infrastructure demands: Training and running AI models require massive investment in infrastructure, from data centres to high-performance GPUs.

Big Data 308
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10 Best AI Agents for Business Automation (2025)

Unite.AI

AI agents for business automation are software programs powered by artificial intelligence that can autonomously perform tasks, make decisions, and interact with systems or people to streamline operations. Demand for AI Agents in Business Demand for such AI-driven automation is surging.

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

AI News

For this article, AI News caught up with some of the worlds leading minds to see what they envision for the year ahead. Smaller, purpose-driven models Grant Shipley, Senior Director of AI at Red Hat , predicts a shift away from valuing AI models by their sizeable parameter counts. The solutions?

ESG 317
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AI News Weekly - Issue #414: Inside Elon Musk’s messy breakup with OpenAI - Nov 22nd 2024

AI Weekly

domains name.com In The News Salesforce launches AI platform for automated task management Salesforce is now stepping up its AI game with Agentforce, a platform that lets businesses to build and deploy digital agents to automate tasks such as creating sales reports and summarising Slack conversations. domain now!

OpenAI 245
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Has AI Taken Over the World? It Already Has

Unite.AI

Computational propaganda refers to the use of automated systems, algorithms, and data-driven techniques to manipulate public opinion and influence political outcomes. If a model is trained on flawed, biased, or low-quality data, it will produce unreliable or inaccurate results, regardless of how sophisticated the algorithm is.

Robotics 290
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Mega Models Aren’t the Crux of the Compute Crisis

Unite.AI

Every time a new AI model dropsGPT updates, DeepSeek, Geminipeople gawk at the sheer size, the complexity, and increasingly, the compute hunger of these mega-models. The assumption is that these models are defining the resourcing needs of the AI revolution. Yes, large models are compute-hungry.

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

AI News

Training large language models like GPT-3 requires vast amounts of data to be processed by thousands of specialized chips running around the clock in sprawling data centres. Once deployed, AI models consume significant energy with each query or task. That goal now appears increasingly challenging.

Big Data 341