One segment I have been absolutely upbeat is IT/Tech. Tech has always been the hidden moat for many companies - AP/BFL to name a few. Tech is no longer a vertical in market. It has become horizontal that cuts across every single vertical.
More from Ameya
After getting good feedback on yesterday's thread on #routemobile I think it is logical to do a bit in-depth technical study. Place #twilio at center, keep #routemobile & #tanla at the periphery & see who is each placed.
This thread is inspired by one of the articles I read on the-ken about #postman API & how they are transforming & expediting software product delivery & consumption, leading to enhanced developer productivity.
We all know that #Twilio offers host of APIs that can be readily used for faster integration by anyone who wants to have communication capabilities. Before we move ahead, let's get a few things cleared out.
Can anyone build the programming capability to process payments or communication capabilities? Yes, but will they, the answer is NO. Companies prefer to consume APIs offered by likes of #Stripe #twilio #Shopify #razorpay etc.
This offers two benefits - faster time to market, of course that means no need to re-invent the wheel + not worrying of compliance around payment process or communication regulations. This makes entire ecosystem extremely agile
So I have been studying this entire communication layer as its relevance is ever growing with more devices coming online, staying connected, and relying on real-time communication. Not that this domain under penetrated, but there is a change underway.
— Ameya (@Finstor85) February 10, 2021
This thread is inspired by one of the articles I read on the-ken about #postman API & how they are transforming & expediting software product delivery & consumption, leading to enhanced developer productivity.
We all know that #Twilio offers host of APIs that can be readily used for faster integration by anyone who wants to have communication capabilities. Before we move ahead, let's get a few things cleared out.
Can anyone build the programming capability to process payments or communication capabilities? Yes, but will they, the answer is NO. Companies prefer to consume APIs offered by likes of #Stripe #twilio #Shopify #razorpay etc.
This offers two benefits - faster time to market, of course that means no need to re-invent the wheel + not worrying of compliance around payment process or communication regulations. This makes entire ecosystem extremely agile
More from Tech
Machine translation can be a wonderful translation tool, but its uses are widely misunderstood.
Let's talk about Google Translate, its current state in the professional translation industry, and why robots are terrible at interpreting culture and context.
Straight to the point: machine translation (MT) is an incredibly helpful tool for translation! But just like any tool, there are specific times and places for it.
You wouldn't use a jackhammer to nail a painting to the wall.
Two factors are at play when determining how useful MT is: language pair and context.
Certain language pairs are better suited for MT. Typically, the more similar the grammar structure, the better the MT will be. Think Spanish <> Portuguese vs. Spanish <> Japanese.
No two MT engines are the same, though! Check out how human professionals ranked their choice of MT engine in a Phrase survey:
https://t.co/yiVPmHnjKv
When it comes to context, the first thing to look at is the type of text you want to translate. Typically, the more technical and straightforward the text, the better a machine will be at working on it.
Let's talk about Google Translate, its current state in the professional translation industry, and why robots are terrible at interpreting culture and context.
Straight to the point: machine translation (MT) is an incredibly helpful tool for translation! But just like any tool, there are specific times and places for it.
You wouldn't use a jackhammer to nail a painting to the wall.
Two factors are at play when determining how useful MT is: language pair and context.
Certain language pairs are better suited for MT. Typically, the more similar the grammar structure, the better the MT will be. Think Spanish <> Portuguese vs. Spanish <> Japanese.
No two MT engines are the same, though! Check out how human professionals ranked their choice of MT engine in a Phrase survey:
https://t.co/yiVPmHnjKv
When it comes to context, the first thing to look at is the type of text you want to translate. Typically, the more technical and straightforward the text, the better a machine will be at working on it.