Protecting Sensitive Data in the Age of Large Language Models (LLMs)A common concern we have heard among the senior leaders of early or mid-stage companies is how to safeguard against leaking sensitive PII…Jun 19Jun 19
WDIS AI-ML Series: Module 1 Lesson 3: When to apply Rule Based Vs ML vs DLSince this series is about Machine learning, I am sure when you complete the series, you will start looking at every problem through the…Mar 30Mar 30
WDIS AI-ML Series: Module 1 Lesson 2: Introduction to AI, ML, DL, and Generative AIIn the last lesson, we discussed the definition of AIMar 20Mar 20
WDIS AI-ML Series: Lesson 1: Understanding Artificial Intelligence — What is to what could beAI is defined asMar 12Mar 12
Data Science: How to increase the adoption of data science models in your companyWhen I first started leading a data science team, my first thought was to review the roadmap with the team and come up with a revised…Oct 9, 2022Oct 9, 2022
Data Science: Nurturing a data fluent culture that compounds growth (Ready to go)May 1, 2021May 1, 2021
Data Science: How to frame the business problems as machine-learning problems (Part III)In the previous articles, we discussed when to use machine learning to solve a business problem and how to frame the business problems as…Apr 1, 2021Apr 1, 2021
Data Science: How to frame the business problems as machine-learning problems (Part II)In the previous articles, we discussed when to use machine learning to solve a business problem and how to frame the business problems as…Apr 1, 2021Apr 1, 2021
Data Science: How to frame the business problems as machine-learning problems (Part I)The commoditization of machine learning has happened at an unprecedented rate so much so that it is difficult to find a company — big or…Apr 1, 20211Apr 1, 20211