Art of Data Science

Home
Archive
About
LLMs and Marketplaces
LLMs might be unreliable but adding a more procedural regulatory layer can help you get the best of them while limiting downsides.
 • 
Karthik S
2
ThoughtSpot vs PowerBI copilot
I came across what seems like a ThoughtSpot PR video comparing it to PowerBI copilot, and I take the opportunity to comment on both of them
 • 
Karthik S
Context-sensitive "feelings"
The difference between a human and a computer evaluating a situation is that the human relies on prior intuition on how the situation has developed. Can…
 • 
Karthik S
Elevator pitches and reinforcement learning
Startup events and parties serve one good purpose - you can hone your elevator pitch through "reinforcement learning"
 • 
Karthik S
TCP/IP versus Monte Carlo
How do you interpret a VC not getting back to you for a long time? There are two models from computer science that suggest two opposite things
 • 
Karthik S
1
Why we are NOT building an analyst copilot
Unless the question is really trivial, prompting an LLM is hard. Copilots might be "in" now, but won't be for much longer as the disillusionment from…
 • 
Karthik S
3
LinkedIn and Narrow Channels
When you add random people on LinkedIn, it is mildly advantageous for you, but a massive disadvantage to your other connections
 • 
Karthik S
Founding and the Ranatunga Principle
It is not often that you are in a job where you can own your own time. You ought to take advantage of such situations.
 • 
Karthik S
1
Art of Data Science
Art of Data Science
Pertinent observations on data science, analytics, business intelligence and everything around

Art of Data Science

AboutArchiveSitemap
© 2024 Karthik Shashidhar
Privacy ∙ Terms ∙ Collection notice
Start WritingGet the app
Substack is the home for great culture