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How to Generate Add to Calendar Link using Cal.et

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Explore our comprehensive slides on the 2024 social media landscape, tailored for educators and marketing professionals in the field of education. With more than 5 billion social media users worldwide and an average individual engagement across as many as seven platforms monthly, understanding these dynamics is crucial for effective educational outreach. Our slides delve into the pivotal trends and strategic adaptations necessary for thriving in this digital arena. Don't miss this opportunity to enhance your strategies with our expert insights.

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As we advance further into the digital age, artificial intelligence (AI) continues to evolve, shaping various industries and aspects of our daily lives. The advancements in AI for 2024 promise significant transformations across multiple sectors. From agentic AI and open-source AI to AI-powered cybersecurity and sustainability, these trends highlight the growing influence of AI on our world. By staying informed and embracing these trends, businesses and individuals can harness the power of AI to innovate and thrive. This article explores the top 10 AI trends to watch in 2024, providing an overview, impact, and examples of each trend. Top 10 AI Trends to Watch in 2024 Trend 1: Agentic AI Overview of Agentic AI Agentic AI represents a fundamental shift in artificial intelligence. These AI systems are designed to comprehend complex workflows and pursue difficult objectives autonomously, with minimal human assistance. Essentially, agentic AI functions similarly to human employees, understanding intricate contexts and instructions in normal language, defining goals, deducing subtasks, and adapting actions to changing circumstances. Impact of Agentic AI Agentic AI has the potential to drastically alter organizational roles, procedures, and relationships. AI assistants with advanced thinking and planning capabilities can perform tasks previously managed by humans. This shift enhances productivity by fully automating complex processes, freeing workers from repetitive tasks to focus on more critical activities. The ability to adapt quickly to changing circumstances ensures continuous operational improvements. Examples and Use Cases of Agentic AI Autonomous Vehicles: Self-driving cars use agentic AI to navigate roads, interpret traffic signals, and make real-time decisions to ensure passenger safety. Smart Home Devices: AI-powered home assistants, like smart thermostats and security systems, operate autonomously to optimize energy usage and enhance security. Customer Service Bots: Advanced chatbots handle complex customer queries, provide solutions, and escalate issues to human agents when necessary. Trend 2: Open Source AI Overview of Open Source AI Open-source AI involves freely available source code, encouraging developers to collaborate, use, adapt, and share AI technology. This openness fosters innovation and speeds up the development of practical AI solutions across various sectors, including healthcare, finance, and education. Impact of Open Source AI The collaborative nature of open-source AI promotes transparency and facilitates continuous improvement, leading to feature-rich, reliable, and modular solutions. These platforms enable the creation of applications such as real-time fraud detection, medical image analysis, personalized recommendations, and customized learning experiences. Examples and Use Cases of Open Source AI TensorFlow: An open-source machine learning framework by Google, widely used for building and deploying AI models.

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A brief analysis of SHEIN's digital transformation. SHEIN’s business model: 1. D2C cross-border ecommerce: SHEIN integrate the manufactures from Guanzhou to make clothes and deliver direct to customers. 2. Digital marketing: Data driven online marketing for user acquisition. 3. Digital transforming vendor chain: the most core of the revolution to shorten the innovation and lead time. 4. Outstanding user experience: International delivery in high efficiency Leverage four parts of the user satisfaction process and integrate related resource and information flow, which making SHEIN an international leading D2C ecommerce company. • Keeping utilizing data in all process is another core capability. From the page click, sales metrics, fabric sourcing to manufacturing time, all data is integrated for decision making, leading an upward customer preference and much efficient business decision making process.

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