How data analyzation can open up new possibilities for e-mail

How data analyzation can open up new possibilities for e-mail

How data analyzation can open up new possibilities for e-mail

There are some who say e-mail is dying, but is it true? Certainly, as technology advances, there are more ways than ever to connect and send messages that don’t rely on traditional e-mail servers. However, Peter Monaco, VP of Engineering for Communications Products at Yahoo, Inc., argued that instead of dying out, e-mail is transforming. As today’s keynote speaker at Hadoop Summit in San Jose, California, he had some insights into the future of e-mail.

There are two main kinds of e-mail messages, Monaco said. The first kind is personal and involves correspondence with people you actually know. The second is business-related and can include purchases made online, newsletters and promotions. While it’s true that the former is diminishing, with people preferring to send messages via text message or the various different apps available, people still use e-mail for business all the time. Perhaps even more so now, with more people than ever relying on e-mail for transactions instead of phone conversations.

Read Also:
Interacting with Machine Learning  – Here is Why You Should Care

But for those times you do correspond with a real human being, wouldn’t it be nice to get a notification, so you don’t have to keep checking and refreshing your inbox? And not have to worry that when you do get a notification, it’s simply regarding a shoe sale? This is a new feature that Yahoo has been working on. Knowing that no one would use such a feature if they got too many notifications about promotional e-mails or newsletters, Yahoo has been testing different ways they could offer such a tool.

First it tried looking at e-mail addresses themselves, but that didn’t work. There was no way for an algorithm to tell the difference between an address such as john@amazon.com and borders@amazon.com. There wasn’t anything in the syntax of the addresses themselves that would reveal if someone was a human or a bot. So the company turned to a new methodology.

Yahoo’s next tactic, which has been proven to be much more successful, was to look at the behavior of each e-mail address.

Read Also:
First-party vs third-party data: who’s last to the party?


Sentiment Analysis Symposium

27
Jun
2017
Sentiment Analysis Symposium

15% off with code 7WDATA

Read Also:
Microsoft and the ubiquity of data intelligence

Data Analytics and Behavioural Science Applied to Retail and Consumer Markets

28
Jun
2017
Data Analytics and Behavioural Science Applied to Retail and Consumer Markets

15% off with code 7WDATA

Read Also:
Bringing California open data to life

AI, Machine Learning and Sentiment Analysis Applied to Finance

28
Jun
2017
AI, Machine Learning and Sentiment Analysis Applied to Finance

15% off with code 7WDATA

Read Also:
A coming of age for first-party data

Real Business Intelligence

11
Jul
2017
Real Business Intelligence

25% off with code RBIYM01

Read Also:
Analytics, IoT Crucial To Mobile E-Commerce Growth

Advanced Analytics Forum

20
Sep
2017
Advanced Analytics Forum

15% off with code Discount15

Read Also:
Microsoft and the ubiquity of data intelligence

Leave a Reply

Your email address will not be published. Required fields are marked *