Late 2020, after I parted ways with Semantics3 – a startup I co-founded between 2011-2020 – I made an attempt to chronicle my learnings from
Switching from a tech role at a startup to one at an established tech company should be relatively easy. Engineering, product and design skills are,
A playbook for building ML powered products, teams and businesses Building and selling machine learning (ML) products is hard. The underlying technology keeps evolving, requiring
Can the demand for an item be predicted before its market launch? How about 1 month into launch, once the initial numbers are in? Which
Attribute Extraction from ecommerce data – the generation of structured fields from unstructured text – is a popular product offering of ours. Our customers use it
This is the second in a multi-part series in which we attempt to unearth dynamics of the shipping industry, by analyzing publicly available import shipment
Each December, I religiously set a list of personal targets for the new year. Usually, the first item on this list is a reading target,
This is the first in an article series in which we attempt to unearth dynamics of the shipping industry, by analyzing publicly available import shipment
Writing crawlers to extract data from websites is a seemingly intractable problem. The issue is that while it’s easy to build a one-off crawler, writing
I wrote this post back in 2017, but left it languishing in my drafts folder. Present day reflection at the end of this article. “Garbage
If you were to take a flight from India to the United States, to which country would the carbon emissions produced be attributed to? To
I have been struck by how important measurement is to improving the human condition. You can achieve incredible progress if you set a clear goal
Here’s a standard storyline I’ve seen played out across organizations many times over: Lots of wasted resources. But critically, opportunities lost. Why does this happen, even
Over the past 7 years, we’ve built an extensive Universal Product Catalog, by curating and understanding public data from across the public e-commerce web. This
Imports, exports and tariffs are quite the theme in the news these days, be it in the context of Brexit, the US-China trade war or
Over the course of two weeks in February 2019, two Semantics3 engineers crawled the entire universe of dotcom domains looking for ecommerce sites. We built
A couple of weeks ago, I posted a two part series detailing how we do data QA at Semantics3. In the days that followed, I’ve had people get
Of the thousands of attributes that we handle while curating product catalogs, the hardest and perhaps most important attribute is brand. Consumers often begin their searches
In this second of two posts about data quality, I’d like to delve into the challenge of building and maintaining evolving datasets, i.e., datasets that
In this first of two posts about data quality, I’d like to delve into the challenge of building and maintaining evolving datasets, i.e., datasets that
There is a significant disconnect between the perception and reality of how enterprise AI products are built. The narrative seems to be that given a
Three slides from Benedict Evans’ brilliant talk, The End of the Beginning, really caught my attention. Across industries, machine learning is helping us get to successive
Slides & video from my talk @ Fifth Elephant Recently, I gave a talk at Fifth Elephant, a “conference on big data and machine learning”. The
Product matching is a challenging data-science problem that we’ve been battling for several years at Semantics3. The variety of concepts and nuances that need to
And its implications for PMs, designers, salespeople and data scientists Garbage-In-Garbage-Out is the idea that the output of an algorithm, or any computer function for
View More