Emerging opportunities for AI Enthusiasts

This session is focused on helping AI enthusiasts see the current trend, and the future possibilities in AI, and how they can prepare themselves to contribute and also be positioned for the AI space.

Transcript

1. Emerging Opportunities for AI Enthusiasts
2. Ayodele Aransiola I love to help, educate and support people. Software Engineer, Technical Content Creator, & Developer Advocate @leomofthings
3. Touchpoints Why AI Matters Current AI Trend Looking into the Future Opportunities Your Position 05 04 03 02 01
4. Why should you care? Why AI Matters AI isn’t just a trending topic, it’s shaping how we work, live, and innovate
5. 1 2 The current AI trend - According to Gartner, the projected invest on AI in 2025 will be $644B. Q1, 2025, Open AI raised $40B. - Weʼve seen new emergence of model capabilities, from creating movies, reality images and more. - Data Explosion (web, apps, devices etc. - Cloud resources: on-demand GPUs/TPUs make it affordable to train models - Communities PyTorch, Hugging Face, TensorFlow etc.) Growth & Breakthroughs The Driving Force
6. Core Technical Roles Emerging Specialties ML Engineers: taking prototypes from notebook to production, also, optimizing performance and reliability. Data Engineer & ML Ops: Focusing on pipelines, model retraining, CI/CD for AI models AI Policy & Regulation: advisor helping businesses and agencies to navigate rules around data usage and stay compliant AI UX Design: intuitive interface for AI systems Prompt Engineering & LLM Fine-tuning: Crafting prompts. AI Ethics & Responsible AI Governance: thereʼs a growing need to maintain privacy, bias, and ensure transparency Looking into the Future Non-technical Roles
7. Opportunities AI that could flag early signs of diabetic retinopathy just from retinal scans. Emerging roles could vary from imaging specialists, bioinformatics data scientists, clinical AI validation experts. Predicting grid load, to AI helping fight against climate change. Quantitative trading algorithms, Fraud detection, risk scoring powered by ML. Economic demand forecast, dynamic pricing, warehousing automation Healthcare & Life Sciences Climate & Energy Finance & InsurTech Retail & Supply
8. Your Position How can you position yourself for this current wave and the future to come? You! Technical Production Soft Skills Languages & Frameworks Data Practices DevOps specifics for AI Model Versioning Monitoring Domain expertise Open-source, conferences
9. Looking into the Future - AI Agents & Autonomous systems: Systems that could act without your intervention, e.g. AI Commerce - TinyML & On-Device AI: inference running on Microcontrollers in phones and IoT devices - Decentralized AI (Web3): Models hosted on a peer-to-peer network
10. Useful resources - AI Engineer: https://roadmap.sh/ai-engineer - AI & Data Scientist: https://roadmap.sh/ai-data-scientist - MLOps: https://roadmap.sh/mlops
11. v COMPANY NAME THANK YOU Any questions? @leomofthings