Hello! I’m Jason Tan, and I empower daily business operations

I embed Generative AI, ChatGPT by OpenAI, and Advanced Analytics (AA) into daily business operations to optimise customer experience and revenue

About Jason

Jason Tan is the owner of DDA Labs and The Analytics Show (TAS) podcast. Together with his team, they develop & embed Generative AI, ChatGPT by OpenAI, and Advanced Analytics (AA) into daily business operations to optimise customer experience and revenue.

At TAS, Jason interviews top business leaders around the world on running high-performance modern organisations, enabled by Generative AI and Advanced Analytics. He tailors each of his interviews to bring the best out of his guests so, together, they can shed light on the best practices in enabling Generative AI and Advanced Analytics to drive business performance.

Jason Has Presented With

Speaking Topics

Data Science, Advanced Analytics, Embedded Analytics, LLMs, Generative AI, ChatGPT, AI, Careers

Topic 1: Building Your Advanced Analytics Career Through Networking on LinkedIn

LinkedIn is an excellent channel for networking with professionals
Effectively reaching out, connecting, and staying in touch with business leaders

Topic 3: Framework & Lessons Learned From Building a Generative AI Application

The framework for developing a Generative AI application
Insights from real-world experiences and challenges faced during the development process
Lessons learned from overcoming obstacles and refining

Topic 5: Building a Second Brain for Introverted Tech Founders to Recall Conversations for Deeper Relationships

The missing puzzle piece to complement LLMs
The unique challenges introverted tech founders face in building relationships
Creating a Second Brain to aid in utilising valuable conversations to strengthen relationships

Topic 2: Embedding Advanced Analytics to Optimise Customer Experience and Revenue

The framework to embed analytics directly into the business frontline to optimise customer experience and revenue
Integrating a data-driven philosophy with a legacy IT system
Verified use cases in the insurance sector

Topic 4: Large Language Models is What We Need to Create Jarvis from Ironman

Advancements in LLMs are bridging the gap between sci-fi and real-world AI application
We’re closer than we think to changing the way we build and use software
The challenges of creating Jarvis using LLMs

Kudos to Jason for producing a very unique conversation I think I’ve had on a podcast to this date. He is very passionate about analytics and his work which makes his energy to be contagious.