Steps for integrating AI into business processes for sustainable growth. Overcoming common challenges in AI adoption, including change management and data privacy concerns. Action planning: Developing an AI roadmap to align with organizational goals and drive innovation
مقدمة عن الذكاء الاصطناعي في الأعمال
Overview of AI and its impact on various industries.
Key concepts in AI, including machine learning, natural language processing, and data analytics.
Real-world examples of AI in business: trends, challenges, and opportunities.
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1 - الذكاء الاصطناعي لاتخاذ القرارات والتخطيط الاستراتيجي
Using AI tools to support data-driven decision-making.
Techniques for leveraging AI to improve forecasting and risk assessment.
Group activity: Identifying areas in your business where AI can inform strategic decisions
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2- تحسين العمليات باستخدام أتمتة الذكاء الاصطناعي
Introduction to AI-driven automation tools and their applications in business.
Exploring the role of AI in streamlining workflows and reducing manual tasks.
Case study: How automation improves efficiency in industries like manufacturing, logistics, and customer service.
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3- تحليل البيانات والنمذجة التنبؤية
Using AI for advanced data analysis: transforming data into actionable insights.
Introduction to predictive modeling and its applications for anticipating market trends and customer behavior.
Hands-on activity: Creating a basic predictive model using sample data.
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4- تحسين تجربة العملاء باستخدام الذكاء الاصطناعي
Techniques for using AI to improve customer service and personalization.
Overview of AI tools such as chatbots, sentiment analysis, and recommendation engines.
Workshop: Designing a customer experience strategy using AI-driven tools.
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5- تطبيق حلول الذكاء الاصطناعي لنمو الأعمال
Steps for integrating AI into business processes for sustainable growth.
Overcoming common challenges in AI adoption, including change management and data privacy concerns.
Action planning: Developing an AI roadmap to align with organizational goals and drive innovation.
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