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...
Category: Technology
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...
The TSB Mainframe Migration Disaster: Planning for Guaranteed Failure
Disclaimer: Even though this blog post sounds harsh, I believe the people involved in the mainframe migration of TSB in 2018 acted always in good faith and with the best of the business and customers in mind. They acted according to the best knowledge available at the...
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...
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...
Mastering Prompt Engineering: Ensuring Precise Outputs with LLM Models
As artificial intelligence continues to expand, the importance of effectively communicating with large language models (LLMs) is crucial. Whether you are a data scientist, business user, AI developer, or engineer, structuring and contextualizing...
“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...
Optimizing Large Language Models: Techniques and Future Directions for Efficiency
Ever since OpenAI introduced ChatGPT UI in November 2022, the way we interact, process and consume information has changed drastically. It was science fiction to have a long and meaningful conversation with a machine until this point. ChatGPT, which is based...