Guidance for Exceptional Talks 

At All Things Open AI, we’re dedicated to equipping professionals and organizations with the tools and insights they need to harness the full potential of artificial intelligence. This event emphasizes practical, actionable content aimed at solving real-world business challenges. Attendees will benefit from sessions that highlight both successes and pitfalls, providing a balanced view of AI implementation.

The conference is organized into three broad tracks—AI Builders, AI Engineering, and AI Users—to cater to different roles and interests within the AI ecosystem. Below are examples of the types of sessions you might find in each track. These are illustrative and meant to guide potential speakers in shaping their submissions.

Track 1: AI Builders

For developers, data scientists, and technical practitioners focused on building and deploying AI systems.

Example Session Topics

  1. Building AI Applications with LLMs: Best Practices and Tools – A practical guide to integrating large language models into applications, covering fine-tuning, API use, and performance optimization.
  2. MLOps for Continuous Deployment: Automating the AI Lifecycle – Exploring tools and workflows for automating model development, deployment, and monitoring to maintain AI systems at scale. Focused on evaluation and observability. 
  3. Fine-Tuning Foundation Models – Practical Steps for Tailored AI Solutions
    Techniques for adapting foundation models like IBM Granite, Meta’s Llama, and Mistral to specific business needs through efficient fine-tuning, including data preparation, optimization, and deployment strategies.
  4. Integrating AI Security in Application Development  – Practical insights on embedding security in AI systems to protect data and ensure robust application performance.

Track 2: AI Engineering

For data engineers, technical leaders, and infrastructure experts managing AI systems and data pipelines.

Example Session Topics

  1. Optimizing AI Infrastructure for Cost and Performance – Strategies for balancing performance and cost efficiency in cloud and on-premises AI deployments. Topics including prompt compression, tokenization, and optimizing RAG applications for effieciency in hosted models 
  2. Data-Centric AI: The Key to Better Model Outcomes – Techniques for improving AI performance through better data practices, including cleaning, augmentation, and labeling. Data privacy versus data sovereignty. 
  3. Vector Databases in Action: Enhancing Search and Recommendation Systems – A practical exploration of using vector databases for semantic search and personalized recommendation engines.
  4. Mitigating Bias in AI Models: Techniques and Tools
    Approaches to identifying and reducing bias in AI systems to ensure fair and ethical outcomes.

Track 3: AI Users

For business leaders, decision-makers, and professionals looking to apply AI for strategic and operational benefits.

Example Session Topics

  1. AI for Decision Makers: Strategic Insights and Risk Management – How AI can inform business strategy and mitigate risks through data-driven decision-making.
  2. Revolutionizing Marketing and Sales with AI – Case studies and tools for leveraging AI to enhance customer engagement and optimize marketing and sales operations.
  3. Boosting Productivity with AI-Powered Tools – Showcasing how AI can streamline workflows and automate routine tasks to improve team efficiency.
  4. AI for Transparency and Accountability in Business Operations – Methods for making AI models more explainable and ensuring accountability in automated decision-making processes.

Additional Example Topics for Any Track

  • Implementing AI Audits for Compliance
  • AI-Powered Cybersecurity: Threat Detection and Prevention
  • Responsible AI: Frameworks for Ethical Decision-Making
  • Explainable AI: Enhancing Trust in Automated Systems
  • Using Synthetic Data to Address Data Scarcity
  • Multi-Cloud Strategies for AI Workloads
  • Human-in-the-Loop Systems for Improved AI Accuracy
  • Federated Learning: Secure Collaboration Across Organizations
  • AI Governance: Establishing Policies for Enterprise AI
  • Deploying Lightweight AI Models for Real-Time Applications

These session ideas are provided as inspiration to guide speakers in shaping their submissions. Our goal is to build a program that addresses the diverse challenges and opportunities in AI, offering attendees practical solutions they can implement immediately.