Blog post
[Blog post] U
sing AI to Enhance UX for Web Apps
The importance of AI is increasing everyday and it is moving at a steady
pace. Big players in tech industries are making bigger investments in AI to
enhance the user experience.
To prove that point, let’s take an example. Among productivity apps, Google
has already employed AI in their G Suite which enables users to get
auto-generated responses while replying to emails which only require a
short reply.
Hasn’t this efficiently improved the way we respond to those emails?
“A year ago, Smart Reply launched, offering auto-generated replies for emails
that only need a quick response. Now, more than 10 percent of all replies on
mobile are sent using Smart Reply. The reception has been so strong that
we’re continuing to apply machine intelligence across our suite to solve
customer problems.” (Prabhakar Raghavan, VP Google Cloud).
The interest of tech giants in AI raises a few interesting questions, like:
● How much ROI are these companies expecting from AI?
● How would these investments enhance the experience for their
users?
● How can we use AI to optimize user experience for better?
To get answers for the following questions, let’s observe a few more
examples of AI usage.
A lot of investments have been poured in natural language processing,
natural language generation and speech synthesis in making virtual
assistants like Apple Siri, Google Now (now called Google Assistant),
Microsoft Cortana, A
mazon Alexa, and S
amsung Bixby, etc. Often called
voice assistants, virtual assistants or digital assistants, they have changed
a lot about how people use their smartphones.
Apple Siri was the first, which employed natural language processing (a
component of AI) to enable users to send text messages and emails, set
alarms and reminders, create calendar entries, show weather, play music,
answer questions and more with voice commands and reduced the hassle
of manually doing everything. Siri also uses machine learning to learn more
about its user’s preferences to give them a more personalized experience.
It was a revolutionary step as it influenced Google, followed by Microsoft
and Amazon, to make their own virtual digital assistants. Google made
Google Assistant, another virtual assistant like Siri but for Android devices,
and Microsoft made Cortana for Windows 10 and Windows-based
smartphones.
A market intelligence firm that focuses on human interaction with
technology, named T
ractica, forecasts that unique active consumer virtual
assistant users will grow from 390 million in 2015 to 1.8 billion worldwide
by the end of 2021. During the same period, unique active enterprise virtual
assistant users will rise from 155 million in 2015 to 843 million by 2021.
The market intelligence firm forecasts that total virtual digital assistant
revenue will grow from $1.6 billion in 2015 to $15.8 billion in 2021.
If we talk about the tech giant Google, Google Assistant and G Suite aren’t
their only products which harness the power of AI. Google uses artificial
intelligence in Google RankBrain, Google Images, Google’s voice search,
Google Home, and Google Earth as well.
Let’s look at how AI has changed our search experience with Google
RankBrain:
Google’s search algorithm has a component called RankBrain, which uses
machine learning to determine the most relevant results to search queries.
Before RankBrain, Google’s basic algorithm was used to determine which
results to show for a given query. The addition of RankBrain has changed
the way Google finds results to a given query. It is believed that the query
goes through an interpretation model where factors like the location of the
searcher, personalization, and words of the query can be used to determine
the searcher’s intent.
Google uses machine learning to train RankBrain by providing it with data
from different sources and the algorithm then takes it from there,
calculating and teaching itself over time to order search engine rankings
based on its findings. Google also utilizes image recognition in its image
search (Google Images) and natural language processing in its voice
search. And if you’ve used Google Earth to explore the world, you must’ve
seen that it blurs people’s faces and the registration numbers on vehicle
number plates by using image recognition.
It seems that many companies have started using AI in some way.
Click here to learn how AI Secretary Bot, an AI assistant created by
PureLogics automates the scheduling tasks of an entire company.
Let’s look at some facts and statistics:
According to Adobe, the share of jobs requiring AI has increased by 450%
since 2013. Also, in a survey conducted by PwC, business leaders said they
believe AI is going to be fundamental in the future. 72% of respondents
termed AI it a b
usiness advantage. According to r ejoiner, Amazon’s
recommendation engine drives 35% of total sales.
We also have an example of FoodPanda which is employing AI in food
delivery via machine learning to make better predictions about how much
time it would take to deliver food to the customer’s doorstep. Then we have
Netflix which uses linear regression, logistic regression, and other machine
learning algorithms to give better recommendations by predicting
subscriber’s interests. And SnapChat uses image recognition to apply 3D
emojis to a person’s face.
Not only is artificial intelligence improving our online experiences, it has
business benefits as well. The increase in 35% of sales for Amazon and the
growth of Netflix from a DVD rental website to a global streaming service
are some of the great examples. The world is adopting AI, and it is time we
should start doing it as well.
Also, our own AI Secretary Bot is an amazing example of how you can save
money on human secretaries by letting an AI assistant manage all the
scheduling tasks for everyone in the company.
Click here to download the free case study of AI Secretary Bot to learn how
PureLogics automated all the scheduling tasks for a client via artificial
intelligence.