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Meta’s AI strategy: Building for tomorrow, not immediate profits

AI News

Meta has signalled a long-term AI strategy that prioritises substantial investments over immediate revenue generation. During the company’s Q2 earnings call, CEO and founder Mark Zuckerberg outlined Meta’s vision for the future and emphasised the need for extensive computational resources to support their AI initiatives.

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How a solid generative AI strategy can improve telecom network operations

IBM Journey to AI blog

AI-driven data analysis reduces errors, helping ensure accurate diagnosis and resolution. Gen AI model training can provide standardized data output, improving correlation and troubleshooting. Human error : Manual data consolidation leads to misdiagnoses due to data fragmentation challenges.

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How to build a successful AI strategy

IBM Journey to AI blog

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. Without an AI strategy, organizations risk missing out on the benefits AI can offer. What is an AI strategy?

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IBM unveils Granite 3.0 AI models with open-source commitment

AI News

IBM has taken the wraps off its most sophisticated family of AI models to date, dubbed Granite 3.0, Early proofs-of-concept suggest potential cost savings of up to 23x less than large frontier models. According to IBM, transparency and safety remain at the forefront of its AI strategy. The Granite 3.0

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What the Launch of OpenAI’s o1 Model Tells Us About Their Changing AI Strategy and Vision

Unite.AI

OpenAI, the pioneer behind the GPT series, has just unveiled a new series of AI models, dubbed o1 , that can “think” longer before they respond. The model is developed to handle more complex tasks, particularly in science, coding, and mathematics.

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How the EU AI Act and Privacy Laws Impact Your AI Strategies (and Why You Should Be Concerned)

Unite.AI

GDPR's stringent data protection standards present several challenges for businesses using personal data in AI. Similarly, the California Consumer Privacy Act (CCPA) significantly impacts AI by requiring companies to disclose data collection practices to ensure that AI models are transparent, accountable, and respectful of user privacy.

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Google’s Gemini 1.5 Pro dethrones GPT-4o

AI News

This significant improvement suggests that Google’s latest model may possess greater overall capabilities than its competitors. Will they be able to reclaim their positions at the top of the leaderboard, or has Google established a new standard for generative AI performance? Exciting News from Chatbot Arena!

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