Writing
Bylines in other outlets, articles on LinkedIn, and essays from this site.
Bylines and articles
- Sep 2026
To scale AI agents, enterprises must strengthen governance
Argues that agents acting on their own need enforceable limits: policy-as-code, clear decision rights, and human oversight.
- Sep 2025
It's time for banks to cash in on generative AI
Banks in Asia Pacific must modernize legacy systems, close skills gaps, and put AI governance in place to get value from generative AI.
- Oct 2019
The tech revolution is here...
Insurers across Asia are rebuilding systems, teams, and processes for analytics and AI, and reinsurers like Munich Re now help them do it.
- Mar 2017
A data scientist speaks: Business needs Watson Analytics
Why self-service tools like Watson Analytics matter for putting analysis in the hands of business users, not only data scientists.
- Jun 2015
A plain-language introduction to IT operations analytics, using a website outage to show how log data drives decisions.
Essays
- Dec 2023
Consuming Content from the Gen AI Firehose
A curated list of people, videos, papers, blogs, and courses for keeping up with the flood of Gen AI developments.
Also on LinkedIn
- Apr 2020
Is this the right time for innovation, digitalization, and AI?
Why the COVID-19 pandemic is the time for organizations to double down on innovation, digitalization, and AI.
- Feb 2020
The Impact of Telematics Data and AI on Motor Insurance
How telematics data and AI could move motor insurance from proxy rating factors to scoring how people actually drive. Co-authored with David R. Hardoon.
- Aug 2019
An excerpt from my talk at the Regional CEO Summit organized by Munich RE in Sentosa, Singapore.
- Aug 2019
Some recent pictures from several talks
Photos from several of my talks and workshops in 2018 and 2019.
- Aug 2017
Big Data Analytics in FinTech: My talk at SMU
Listing for my MITB Analytics Seminar at SMU: Big Data Analytics in FinTech and InsurTech, industry trends and use cases.
- Feb 2017
Analytics Strategy: Consulting v/s Hub & Spoke v/s The Embedded Model
How should organizations define an analytics strategy? Comparing the consulting, hub and spoke, and embedded models.
- Feb 2017
For all of us who have hit the proverbial "R" wall due to memory size limitations, H2O is a welcome relief.
- Feb 2017
Blast from the Past: Distributed Reinforcement Learning on Spark
Video of our Spark Summit 2014 talk in San Francisco on distributed reinforcement learning, from my time as a Senior Data Scientist at Impetus.
- Jan 2017
"The Hammer and Nail" philosophy in Analytics
In the world of data science and analytics these days, we are all faced with the key question of what technique or methodology solves which problem.
- Jan 2017
A rant about the hype around big data, AI, and pay-to-speak conferences, and what serious data scientists can do about it.
- Jan 2017
How to Build, Coach, and Lead Successful Data Science Teams (Part-I)?
Part I of a two-part series: the roles and personas you need to build a successful data science team from scratch.
- Jan 2017
How to Build, Coach, and Lead Successful Data Science Teams (Part-II)?
This quick piece is about leading, motivating, and coaching data science teams.
Archive
Book reviews, reading lists, and notes (14)
- Dec 2019
- Jul 2019
- Dec 2018
- Jan 2018
- Jul 2017
- Jun 2017
- May 2017
- Mar 2017
- Mar 2017
- Mar 2017
- Feb 2017
- Jan 2017
Review of "The New Digital Age" by Eric Schmidt and Jared Cohen
- Jan 2017
Review of "Connected: 24 Hours in the Global Economy" by Daniel Altman
- Jan 2017
A Review of "Bitcoin: the Future of Money" by Dominic Frisby