How to Submit a Winning Presentation Proposal
The pace of AI isn’t slowing—and The AI Conference 2026 is where builders, researchers, and leaders share what’s actually working.
If you’re advancing models, shipping systems, or leading adoption at scale, we want to hear from you. Our audience is highly technical—engineers, ML researchers, product leaders, founders, and executives—so bring real depth, concrete results, and clear takeaways.
At The AI Conference 2026, we don’t do surface-level overviews. We’re seeking in-depth, technically rich, and thought-provoking presentations that explore the most critical AI topics today—and tomorrow.
Our audience is highly technical and includes researchers, engineers, founders, and industry leaders. Your talk should go deep into the details while remaining accessible and engaging.
This track showcases the breakthroughs shaping what’s next in AI—from multimodal and agentic systems to governance, safety, and the future of work and society.
Multimodal models and cross-modal reasoning
Advancements in generative and foundation models (open & closed)
AI safety, alignment, and governance strategies
Autonomous/agentic systems in real environments
Global policy, standards, and societal impact
Designed for engineers and architects, this track provides practical patterns, frameworks, and tooling to ship reliable AI systems at scale.
MLOps/LLMOps: deployment, evals, and lifecycle management
Fine-tuning and optimization (LoRA, quantization, distillation)
Retrieval and hybrid architectures (RAG, tool use, orchestration)
Frameworks and platforms (LangChain, LlamaIndex, Hugging Face, etc.)
Production reliability: latency/cost budgets, observability, incident playbooks
A deep dive into model design, data, and infrastructure—covering the science and systems behind state-of-the-art AI.
Architecture and training methods; scaling laws and ablations
Distributed training and inference efficiency
Data curation, evaluation, and dataset governance
Hardware/accelerators (GPU, TPU, specialized silicon)
MLOps for foundation and domain-specific models
Industry-grade case studies and lessons from deployments that drive measurable outcomes.
Agentic automation in business workflows
Edge and on-device intelligence
Evaluation, monitoring, and drift management in production
Sector use cases (healthcare, finance, retail, public sector, more)
What worked, what didn’t—and why
Built for leaders driving adoption, this track focuses on operating models, governance, and value realization.
Enterprise transformation and capability building
Governance, compliance, and risk management
ROI frameworks, portfolio prioritization, and value metrics
Data rights, procurement, and vendor strategy
Leadership, culture change, and org design for AI
Feel free to use the long-form text fields of the application such as the Summary Abstract and Professional Bio fields to add detail your or application.
These tips are tailored to emphasize real-world knowledge sharing, demonstrations, and tangible information over product pitches.
Clear and Concise Title: Your title should be catchy yet descriptive. It should give a clear idea of what your talk will cover and entice the audience to want to learn more.
Engaging Abstract: Write an abstract that is concise but comprehensive. It should clearly state the objective of your talk, the key points you will cover, and what the audience will learn or take away. The abstract should reflect the depth of your content while being accessible to a broad technical audience.
Relevance and Originality: Ensure your topic is relevant to the conference themes. Highlight any unique perspectives or original research you will bring to the conference. Discuss how your talk will contribute to the current discourse in the AI field.
Real-World Applications: Since the conference focuses on real-world knowledge, emphasize how your topic is applied in practical scenarios. Include case studies, examples, or anecdotes from your experience to illustrate the real-world impact of your work.
Evidence of Expertise: Include links to your previous talks, publications, or any relevant work that showcases your expertise and speaking abilities. This helps the committee gauge your experience and knowledge in the field.
Avoid Sales Pitches: Clearly state that your talk will be informative and educational rather than a pitch for a product or service. The focus should be on sharing knowledge and insights, not promoting a business.
Interactive Elements: If your talk includes demonstrations, interactive sessions, or hands-on elements, mention this in your proposal. This can make your session more appealing and engaging for attendees.
Outline Key Takeaways: Clearly articulate what attendees will learn from your session. List the key takeaways and how they can apply this knowledge in their own work or research.
Target Audience: Specify who would benefit most from your talk (e.g., data scientists, policy makers, business leaders). Tailoring your content to your audience’s expertise level and interests is crucial.
Video Submission: If possible, include a short video with your submission, giving a brief overview of what your talk will cover. This can provide a more personal touch and give the committee a sense of your presentation style.
Feedback and Adaptability: Mention your willingness to receive and incorporate feedback to tailor your presentation to the conference’s themes and audience.
Remember, the key is to showcase your expertise and how your talk will add value to the conference. A well-crafted proposal that aligns with the conference’s themes and offers clear, tangible insights will have a greater chance of being accepted. We will respond to all applications.
By adhering to these guidelines, your proposal will stand out for its clarity, relevance, and authenticity, effectively engaging your intended audience.
Join us for The AI Conference 2026, a groundbreaking two-day event focusing on AGI, LLMs, Infrastructure, Alignment, AI Startups, Neural Architectures.