The Next Era: Technology Intelligence in Our Time. - KeyNote

Transcript

1. The Next Era: Technology Intelligence in Our Time. Sam Ayo https://linkedin.com/in/sam-ayo
2. • Academic background: Economics, Math, Stats, ARTIBA • Areas of Interest: Core AI, NLP, Audio AI, AI Engineering, probabilistic models, experimentation & system inference design. • Programming Languages: Python, C++, C#, Golang, JavaScript, TypeScript. • Recent work: Real-time Agentic system, near real-time audio signal detection, Semantic relation modelling and search. • Industries covered: Agnostic • Fun fact: Built LangChain equivalent in golang Sam Ayo @officialsamayo Meet Sam Ayo
3. We are moving from the Information Age to the Intelligence Age. Sam Ayo @officialsamayo
4. The Concept of Technology Intelligence The concept of technology intelligence bothers on • the activities of organisations and companies to build intelligent technological products. • technologies that possess the capability to make complex decisions, planning. • And simulate intelligent behavior over a variety of given tasks. Sam Ayo @officialsamayo
5. What does technological intelligence look like in our time? The strong gravity of Earth makes the physics of a fully reusable rocket with positive payload margin extremely difficult to solve, which is why it has never been done before. Elon Musk SpaceX returning reuseable rocket booster to Earth. SpaceX Sam Ayo @officialsamayo
6. And everything is going to be Data & AI Sam Ayo @officialsamayo Intelligent Systems Every company wants to build
7. What really is AI? 3 reasons to why it is difficult to define AI expressly: • Difficulty to clearly define human intelligence • The AI effect • Mix-up between the various stages of AI and types Simply put, AI is a branch of science that focuses on the simulation of intelligent behaviour in computers. Sam Ayo @officialsamayo
8. But there are three critical problems. Sam Ayo @officialsamayo • Everyone wants AI • There’s a big problem with security and data privacy • Data estate is unconsolidated and in-pieces
9. The Talent is YOU! • AI Engineers • ML Engineers • MLOps Engineers • LLM Software Engineers • Data Engineers • Data Analyst • Software Engineers
10. With the exposition that we need more data to build intelligent technology, introduces the risk for security and the need for data control through governance. Sam Ayo @officialsamayo
11. Again YOU are the secret sauce! • Data Managers • CyberSecurity Specialist • Data Developers TALENT IS RARE, DOES NOT MEAN IT CAN NOT BE HARNESSED
12. How do you position Yourself? In this era, the train moves and it moves very fast. So how do you stay ahead and in it: • Learn conceptually • Learn ahead • Use the internet, it is your biggest research tool • Find a community and stick to it Sam Ayo @officialsamayo
13. The Market is never saturated, so the best time to get started is Now! Sam Ayo @officialsamayo
14. Sam Ayo @officialsamayo QUESTIONS