Tencent is among the largest technology companies in the world. According to The Verge, it is the most valuable company of any sort in Asia.
Tencent owns WeChat, the “everything app” with almost 1 billion users — many of which are active for more than 4 hours a day. Bloomberg Businessweek says that’s more than the average time spent on Facebook, Instagram, Snapchat and Twitter combined.
Brex’s diverse customers use a variety of software tools to run and grow their businesses. About half of all our customers use some form of ERP (Enterprise Resource Planning) application and expect Brex data to seamlessly integrate with their existing productivity tools.
In late 2019, we identified two sizable opportunities:
We built the Accounting API to enable ERPs to pull data from Brex through a direct transaction…
In the blink of an eye, the first half of 2021 is now behind us.
I’ve had the habit of personal quarterly reviews and goal-setting for a while, and this time it’s no different.
Below are some of my work-related learnings and reflections from the past quarter as a Tech Lead / Manager. These are not necessarily things that I have mastered, but ideas that occurred to me and I would like to remember or get better at going forward.
The concept of “programmable money” made possible by the blockchain has gained a substantial amount of traction this year, but this is just the beginning.
With about $13B assets in decentralized finance, the space is evolving at an extremely rapid pace. However, it is still in a nascent phase with the potential of bringing new paradigms to financial services. To create a mapping from mainstream financial services to defi, we will use the fintech space as a proxy.
Fintech has unbundled banks and almost every other traditional financial institution. Moreover, those institutions otherwise known as “traditional” are also going out…
Payments Systems in the US by Carol Coye Benson, Scott Loftesness and Russ Jones was among the most informative books I read on the financial services industry. Below are some key snippets I’d like to retain and share.
The payments industry is different from other processing industries in terms of the value of money being transferred through the system. Providers who realize revenue related to gross value of the payment transaction (the “amount”) are more likely to have profitable businesses than those who realize revenue simply on a fee-per-transaction basis.
Brazilian finance minister Guido Mantega flatly declared in late September 2010 that a new currency war had begun.
At the heart of every currency war is a paradox: currency wars are fought internationally but they are driven by domestic distress.
They begin due to insufficient internal growth. High unemployment, low or declining growth, weak banking sector and deteriorating public finances.
Difficult to generate growth in purely internal means. Promotion of exports through devalued currency becomes the engine of last resort.
GDP is characterized by Consumption, Investment, Government spending, Net exports (exports minus imports)
GDP = C + I + G…
After almost 2 years, I wrapped up my time as a software engineer in the Siri Search team within AI/ML at Apple. I’m lucky to have joined an action-packed group within a company I’ve admired since childhood — one that has shaped humanity and became the most beloved brand on the planet. Goodbyes were bittersweet, but I take solace in knowing that Apple will always be part of my identity, like a package/dependency in the software within me.
Fun fact: The Breakout List (known for featuring hot startups) included Apple Siri in its list of “High Potential and High Growth…
By now, we should be pretty familiar with the process of loading in image data and creating a DataBlock ( like
# convert mode specified is for black/whiteLoad in the data
il = ImageList.from_folder(path, convert_mode='L')
Inside an items list
il is the image you gave it, so you can index into the list and view the image content.
Techniques for avoiding overfitting
Lecture announcement: platform.ai allows you to train models using images. You can use this as a tool to train models on unlabelled data.