I've been in the exciting world of data and AI for nearly a decade as an Actuarial Analyst, Data Scientist, Data/ML Engineer. It’s been an incredible journey working across various industries.
Franckess AI exists to help businesses innovate, succeed and make impactful decisions leveraging my unique professional background.
I’m also an enthusiastic AWS Community Builder, passionate about using AWS technologies ☁️ to create impactful solutions.
BOOK A SESSION TO DISCUSS FURTHER 👉🏽
https://calendar.app.google/UQi7dR9s5rtQAC978
| Data Engineering | Data Science | ML/AI Engineering | Cloud Engineering | Business |
|---|---|---|---|---|
| SQL | Python & R | Deep Learning framework | Cloud Infrastructure Management. | Design Thinking |
| Apache Spark | Statistics & Data Analysis | Large Language Models | Continuous Integration/Continuous Deployment. | Actuarial Analytics |
| Cloud Platform | Machine Learning | RAG & GraphRAG | Containerization and Orchestration | Business Optimisation |
| Data Pipeline | Data Visualisation | Model deployment | Cloud Architecture |
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https://www.youtube.com/watch?v=JXxIzwtGALE
VECTOR DATABASE: THE WHAT, THE WHY, AND THE HOW (September 2023)
This talk covers vector databases, providing an overview of their concepts, importance, and applications. Attendees will: (1) Understand what vector databases are and how they differ from traditional databases; (2) Learn why they're popular for storing and retrieving high-dimensional data in AI and machine learning; (3) Explore architectural considerations, indexing strategies, and data modeling techniques; (4) Discover the link between vector databases and large language models like OpenAI’s ChatGPT. By the end, attendees will know how to use vector databases to enhance AI applications with advanced vector similarity search technology.