By Chandramauli Dave, Space-O Canada, software development trends.
Do you find Artificial Intelligence (AI) and Machine Learning (ML) too overwhelming? Think AI and ML applications are limited to the technological domain? If yes, then let us enlighten you with the fact that both these technologies have more ordinary use cases than you can imagine.
In fact, we all are already using AI and ML in our day-to-day lives – right from using real-time navigation to surfing the web.
AI and ML are simplifying our routine operations in more ways than one.
Let’s find out how.
Most of us today check Google Maps before venturing out to gauge current traffic and fastest routes to our destination.
Do you know how does this app offer you such accurate information? All thanks to AI.
Moreover, AI algorithms enable the app to offer real-time speed of the traffic movement, reducing detours, and saving our time.
On the other hand, ride-sharing apps, like Uber, have been making optimum use of ML for determining the pricing of our rides, estimated time of arrival, and predicting rider demand to define surge price hours.
That’s not all.
AI plays a major role in commercial flights too.
Per a 2015 survey of Boeing 777 airline, pilots reported doing manual flying of the plane for merely 7 minutes through a standard flight, primarily during takeoff and landing.
The rest was taken care of by AI.
AI and ML have simplified email communication in the following ways:Gmail Smart RepliesYou must have noticed how Gmail prompts you simple phrases to respond to emails.
For instance, “Yes, I’m interested,” or “Thank you.
” Furthermore, it prompts suitable words even when you’re manually typing your reply.
For instance, if you’ve typed “looking forward”, Gmail prompts you with ”to hearing from you,” and all you’ve to do is press Tab key to add it.
Smart replies are customized per email as ML and AI learn, predict, and mirror how you respond over time.
Email FiltersIn addition to categorizing our emails into Primary, Promotions, Social, and Updates, Gmail relies on the artificial neural network to identify and block spam.
Per Gmail, its average inbox has lower than 0.
1% of spam.
We check our social media profiles every day without realizing how heavily these sites use ML and AI for:The LENS tool of Pinterest uses AI for detecting objects in pictures.
Once you take a snap through this tool, its AI feature would pop up similar pins.
Pinterest also uses ML for search and discovery, email marketing, and prevention of spam.
Whenever we search on Google, it is the search engine’s AI mechanism that renders apt results to us.
Predictive Search Have you noticed how when you’re typing your search query, Google prompts you with what it thinks you’re looking for? It is called predictive search, possibly due to artificial intelligence.
Google has plenty of data about us, such as age, location, past searches, and personal details, based on which it recommends such predictive search terms.
Refined Search Engine Results A majority of search engines, including Google, use ML to enhance the search results for us.
The search engines’ algorithm analyzes and learns our response to a search term, whether we opened a top search-result or how long we stayed on a web page, to determine if the displayed results aligned with the search query and improve the next time.
We all have shopped online for something or the other in today’s fast-paced life.
In addition to letting us shop from wherever we are, the leading e-commerce sites also manage to know our taste and the potential products we might be interested in.
How do they do that? Magic? Nope.
It’s the power of ML and AI at its best.
The online shopping sites, such as Amazon, note our purchases, the products we search, as well as the items we add to our wish-list through ML to make the most suitable product recommendations to each of its users.
That results in a thoroughly personalized shopping experience.
AI technology has made mobile banking personalized and simpler for people who’ve no time to visit their bank.
For instance, Wells Fargo & Co.
is using AI in their app to offer personalized alerts and insights, including reminders for bill payments and pre-overdraft alerts, based on the consumer account analysis.
Banks and financial institutions are also using ML and AI-based systems to distinguish between legitimate and fraudulent transactions.
Such systems track transaction frequency in your account and recognize unusual patterns to issue timely alerts.
PayPal uses ML to fight online money laundering instances.
From Google Assistant and Siri to Microsoft’s Cortana, we’ve plenty of options when it comes to smart personal assistants.
Then there is Amazon Alexa and Google Home as well.
How do these smart home devices and personal assistants fulfill our commands? By using AI to its fullest.
From setting reminders to looking up information online and controlling lights, these devices, and personal assistants leverage on ML to gather information, learn our preferences, and refine information depending on our previous interactions with them.
Artificial intelligence and machine learning may sound too complex for people with zero technical inclinations.
However, they unknowingly use both these technologies in their routine life, as we saw in the above examples.
In fact, this usage is only going to increase with more innovations and advancements in the space in the future.
Undoubtedly, it would be interesting to see how AI and ML will further simplify our lives.
Bio: Chadramauli Dave is a Sr.
Marketing executive at Space-O Canada that is a leading software development company in Canada.
He believes that one should never stop learning, so he spends his time learning new SEO tactics to help businesses to increase their presence on Google.
He also has an interest in writing and shares his knowledge that he has.
Connect with him on LinkedIn and Twitter.
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