Topics

1. Innovative Use Cases of AI in Business and Institutions
   Highlights innovative, domain-specific applications of AI that are delivering real value across industries.
   Subtopics:
   1. Process automation
   2. Improving customer experience
   3. Predictive analytics in operations
   4. Improvement in maintaining legacy systems
   5. Cross-sector AI adoption strategies
   6. Organizational challenges in AI implementation
   7. Innovative AI use cases in various industries, e.g healthcare, education, finance, entertainment, manufacturing, farming, mining
2. Latest Trends in AI Development
   Covers emerging directions in AI tools, and applications that are shaping the future of the field.
   Subtopics:
   1. Generative AI advancements (GPT-4o, Claude, Gemini, etc.)
   2. Open-source vs proprietary LLM trends (Mistral, LLaMA, etc.)
   3. Multimodal AI (text, image, audio, and video together)
   4. Small, efficient models (e.g., TinyML, edge AI)
   5. Retrieval-Augmented Generation (RAG) and vector databases
   6. Real-time AI (low-latency applications in chatbots, translation)
   7. Rise of AI agents and autonomous workflows
   8. AI-as-a-Service (APIs, cloud AI integration)
3. In-depth AI Technologies
   Explores the technical foundations and systems behind modern AI, aimed at a deeper understanding of how AI works.
   Subtopics:
   1. Transformers and attention mechanisms
   2. Fine-tuning and prompt engineering
   3. Diffusion models and image synthesis
   4. Reinforcement learning and its applications
   5. Neural network optimization and quantization
   6. Scalable training infrastructure (TPUs, GPUs, multi-node training)
   7. Tooling and frameworks (HuggingFace, PyTorch, LangChain)
   8. Evaluation metrics for LLMs (accuracy, hallucination rate, etc.)
4. AI Impact in Society
   Focuses on the moral, societal, and cybersecurity challenges brought by the rapid adoption of AI.
   Subtopics:
   1. Bias, fairness, and algorithmic discrimination
   2. Deepfakes, misinformation, and content authenticity
   3. Privacy-preserving AI (federated learning, differential privacy)
   4. Model jailbreaks and prompt injection attacks
   5. AI governance and regulation (EU AI Act, US/China policies)
   6. Alignment and existential risk from AGI
   7. Transparency and explainability (XAI)
   8. Ethical deployment in hiring, education, and law enforcement

About the Talk

• The talk is expected to be delivered in Indonesian or English (please mention it in your CFP)
• The conference will be a hybrid, 2-days, single-track event
• Target of 400 offline attendees
• Livestreaming will be made available for online attendees

Expected audience

We expect our audience will be mostly software engineers from various levels of expertise. But we also encourage more people to attend and make IDSW become their first-time at a tech conference. They are people looking to network and broaden their knowledge.