When I joined a B2B SaaS startup in 2021, I was transitioning from a bigger and more mature company. In my previous company, I was working on a particular area of the product – while it was rigorous and intense – I was excited...
Tag: Machine Learning
Mem0, Zep, or Build Your Own: Which Memory Management Framework Should You Use for Enterprise Chat?
Memory is what makes or breaks enterprise chat. Using your AI assistant will feel like a toy, not a production system, if it forgets who the user is, loses context between tickets, or asks the same clarifying questions every time. Naive methods that transmit the whole...
AI driven Performance Optimization Framework
In today’s Financial Industry, performance of application is one of the most critical aspects. Whether it is a banking application dealing with millions worth of transactions, balance transfers or trading application dealing with time sensitive trades and orders or...
5 Exciting Trends to See at Convergence 2025
Comet’s annual Convergence conference gathers AI and data-science practitioners around the latest industry trends. The Convergence is one of Data Science Salon’s partner events, where professionals can exchange thoughts and remarks in a welcoming environment, and...
AI in Finance: A Guide to the Future
Financial technologies powered by AI are the agents of the new era in the financial industry. After being a plot in science fiction, it has now become reality and a power that drives innovation, efficiency, and customer engagement. Below are the ways AI is...
Data Science Salon Austin 2025: Startups and Machine Learning Meeting to Build a Better World With AI
From using LLMs to judge other LLMs to harnessing unstructured data, from building better recommendation systems to anxiety management—Data Science Salon Austin came with groundbreaking speeches, inspiring panels, and a startup showcase. The Data Science Salon Austin...
Feature Selection in Machine Learning
In our previous blog on regression analysis, we have discussed how machine learning models can predict continuous outcomes, such as house prices or sales revenue, based on input data. While regression models are powerful, their success depends heavily on the quality...
The Foundation of Machine Learning: Linear and Logistic Regression
Regression is one of the most important techniques in predictive modelling. It is usually the gateway into the world of data science and machine learning, offering a perfect balance of simplicity and power. Whether you're forecasting next month's sales figures or...
“EDA and Beyond: Understanding, Detecting, and Interpreting Outliers”
Assume that everyone is dressed casually at a party, except for one person who is wearing a superhero outfit. You notice that person right away since they do not fit in the crowd. This superhuman visitor is referred to as an outlier in data analysis. They could be...
Supercharge Your AI Agents: The Power of Evaluations
As AI agents become increasingly prevalent in software applications, it's essential to ensure they're performing optimally. But how do you measure their success? The answer lies in evaluations (evals). In this post, we'll explore the importance of evals for...