Pedro Amorim, Teresa Bianchi de Aguiar, Luís Guimarães, Bernardo Almada-Lobo, and Bruno Teixeira

Author, MIT Sloan Management Review Middle East

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AI and Machine Learning

Analytical AI: A Better Way to Identify the Right AI Projects

Pedro Amorim, Teresa Bianchi de Aguiar, Luís Guimarães, Bernardo Almada-Lobo, and Bruno Teixeira

10 hours ago

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Analytical AI: A Better Way to Identify the Right AI Projects

10 hours ago The allure of generative AI is undeniable, but it should not eclipse the proven capabilities of analytical AI. Consider a better way to ideate on the best AI projects for your organization.

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January 10, 2025 The hybrid work model can deliver productivity and talent-retention benefits — if leaders navigate the challenges nimbly. Use these expert tips to build stronger hybrid teams in 2025.

Five Trends in AI and Data Science for 2025

January 09, 2025 From agentic AI to unstructured data, these 2025 AI trends deserve close attention from leaders. Get fresh data and advice from two experts.

AI Future Unlocked: Exploring Actionable Gen AI Model in the Middle East

January 06, 2025 By gathering feedback on best practices, user experiences, and the specific needs of the Middle East market, the white paper, Leveraging Actionable Gen AI In The Middle East, in partnership with Astra Tech, provides a localized perspective addressing cultural sensitivities and compliance.

This is how companies in the Middle East should be rethinking the employee burnout crisis

January 02, 2025 High-performing employees are invaluable assets but often face intense pressure from workloads, deadlines, and expectations. How can managers spot early signs of burnout and effectively address them?

Why AI's Future Depends on Human Ingenuity

December 26, 2024 As we move into 2025, companies will need to create AI solutions that foster positive, productive interactions, ensuring technology works alongside people ethically and effectively.

Governance for Resilience in the Era of GenAI

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