OCT 2024 - Top 10 AI Trends

From tiny but mighty Small Language Models running on our phones, to AI scientists discovering new drugs and climate solutions, to autonomous agents making decisions on their own - we're way past just chat-bots.

Here's our TOP 10 AI TRENDS at present:

1️⃣ Multimodal AI - Multimodal AI systems can process and combine multiple types of data inputs like text, images, audio, and video. This allows for more versatile and human-like AI interactions

2️⃣ Small Language Models (SLMs) - SLMs are more compact and efficient than large language models, making AI more accessible and able to run on devices like smartphones

3️⃣ Generative AI - Generative AI continues to evolve rapidly, with improvements in capabilities, efficiency, and integration into various applications and industries

4️⃣ AI in Science and Research - AI is being applied to tackle complex scientific challenges, particularly in areas like climate change, drug discovery, and materials science

5️⃣ Customizable AI Models - There's a growing trend towards customizable AI models tailored for specific industries or use cases, improving relevance and data privacy

6️⃣ AI in Healthcare - AI is increasingly being used in healthcare for tasks like disease detection, diagnostic assistance, and drug development

7️⃣ Agent AI - AI systems are becoming more proactive and autonomous, able to set and pursue goals with minimal human intervention

8️⃣ Open Source AI - The open source AI ecosystem is expanding, allowing access to powerful AI models and tools for all.

9️⃣ AI Talent Demand - There's a growing need for professionals skilled in AI development, deployment, and maintenance, particularly in areas like MLOps

🔟 AI in Manufacturing and Robotics - AI is becoming more and more prevalent in manufacturing processes and advancing robotics capabilities, leading to more efficient and autonomous systems

What excites (or concerns) you most about these trends? Are you already seeing any of these play out in your industry?