You wake up. You check your phone. Its been on charge all night. The battery usage from the previous day was recorded and will be used along with previous use history to maximise charge. Machine learning.
Your new emails load, there’s an email from Steve. He wants the thing done earlier. It’s always earlier. Faster.
There are a few more emails. One from Amazon. Your package is going to be shipped today. And a new Uber promotion. 10% of rides for this week. You click the link and apply the code.
The rest of the emails are garbage. Stuff you’ve subscribed to but didn’t need. At least you subscribed to them.
There’s another 15 emails you don’t see. They’re in the spam folder. Your email client scanned through the text as they came in and put them there. Machine learning.
It isn’t perfect though. You could’ve been a millionaire. A billionaire! If only you’d seen the email and sent that Nigerian Prince your bank details.
A charge comes through on your card. The amount pops up on your screen. $37.85 from Amazon. Another email. Your order of Machine Learning is Everywhere is on its way.
Another charge. Gym membership for the week.
All this money, flying across the internet. You’d think someone could tap into this stream and take some. They try but they can’t. Even when they get your card. They try to buy something. It might go through the first time but by the second time, the card is dead.
Your bank detected the fraud and froze your account. The transaction in another country wasn’t like the other ones you’ve made in the past.
We’ve detected fraud and frozen your account. Don’t worry, your funds are safe. To sort this out, you can contact us here.
There’s no way any person could monitor all the transactions happening. Machine learning.
You call the bank. Your card has been unfrozen and the funds will be back in your account in 24-hours.
It’s 8:34 am. The Uber app pops up at the bottom of your phone. Your calendar says work starts at 9 and based on previous trips, your phone knows it takes about 16-minutes to get there. Machine learning.
6 drivers are close by. Less than usual. Your work address is already preloaded. You get matched with the Black Prius, licence plate, 889LYJK. Machine learning.
The driver takes a route you’ve never been. And then the map corrects itself to adjust for traffic. Machine learning.
Josh is in Bali. Sarah had a birthday party on the weekend. Their photos are on Instagram. An ad appears for those new shoes you’ve been looking at. The ones with the orange. The ad was delivered in your feed amongst photos from the people you’ve been following — there’s a balance. Too many ads and you’d stop using Instagram. Machine learning.
And the naked picture from HotPix2928133Q in your discover tab? You didn’t see it because it was filtered out. Machine learning.
The traffic is bad. Car, car, car, car, truck, car, bus, car. Nose to tail. The Black Prius crawls ahead. The cameras in the front grill stop it from getting too close to the car in front. Machine learning.
You’re not even at work yet.
Tomorrow is your day off. What’s the weather like? Open the weather app. Sunny with a chance of rain, 18% chance. Where’d the chance come from? Machine learning.
Breakfast: a bagel with bacon and avocado. You’ve been trying to cut the carbs but Bagel Boys do it so well. So well. The bagels are a dream. They’re $7 but you’d pay $10.
You can't see them but they're there. The drones monitoring the wheat crops. They look for crop stress. Too much stress is never good. Too much stress leads to death. The drones help the farmer. They help the farmer so you can taste the Bagel Boys glory. Machine learning.
The address reader knows what characters look like. It reads your address on the package and sends it down the chute. Machine learning.
All the information is encoded in the barcode but not everywhere has the same barcode system. The driver picks up a collection of parcels. Your book is one of them. Your house is close to the depot so it's delivered before 10.
It's a good book. A best seller. You want to tell Ankit it arrived and tell him he should read it too. Your phones screen brightness changes as you take a photo. The photo looks so crisp. You’re a real photographer now. The book is in focus and the background is blurred. All with the tap of a button. Magic? No. Machine learning.
Machine Learning is Everywhere.