What should i watch what should i watch

What Should I Watch What Should I Watch

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Episode 40 – The Sandman, Prey, The Gray Man

Follow us on twitter @WSIWPod! This week we clasp our hopes and dreams tightly as we review the latest sequel to Predator, a movie responsible for many of our problems in adulthood! Can Prey live up to the magnitude of the 1987 film? Mike trys to create a rule on comic adaptations when we discuss […]

Episode 39 – Thor: Love and Thunder, Black bird, Resident Evil, Ms. Marvel

We are back to break up the long summer days with a helping of Movie and TV reviews! The MCU is tested to its limit this week. First we review Thor: Love and Thunder, featuring a debate on the love triangle involved in having two weapons (not a euphemism). We follow this up with a […]

Episode 37 – Top Gun: Maverick, The Time Traveler’s Wife, Pistol

Episode 36 – Obi-Wan Kenobi, Night Sky, Senior Year, The Pentaverate

Have you ever tried to figure out if Disney+ is making Obi-Wan Kenobi for kids or adults or both? Relax we figure it out for you in this episode! A TV show that lets you stare into old age piques our interest this week, namely Amazon Prime’s Night Sky. War erupts as Steve refers to Pitch Perfect as «those singy things» leading to a heated debate of Rebel Wilson and Senior Year (the review Steve teased last episode). Finally we discuss Michael Myer’s long absence from our screens and adjudicate his latest effort Pentaverate.

Episode 35 – Doctor Strange in the Multiverse of Madness, Bridgerton, The Lincoln Lawyer

Whiplash is the only way to describe the feeling of seeing Nicola Coughlan in Derry Girls, then Bridgerton and back again! (Yes, another Derry Girls discussion!) This week we take a look back at season two of everyone’s favorite Netflix period piece, braving frightful damage to our reputations! There’s no Matthew McConaughey in this reboot […]

Episode 34 – Star Trek: Strange New Worlds, The Unbearable Weight of Massive Talent, I Love That For You

Tweet us @WSIWPod with all your comments, concerns and criticisms!

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README.md

This project was bootstrapped with Create React App.

In the project directory, you can run:

Runs the app in the development mode.
Open http://localhost:3000 to view it in the browser.

The page will reload if you make edits.
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See the section about running tests for more information.

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Your app is ready to be deployed!

See the section about deployment for more information.

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Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except eject will still work, but they will point to the copied scripts so you can tweak them. At this point you’re on your own.

To learn React, check out the React documentation.

What should I watch in 2021?

I know we were all pretty excited to leave the shitfest that was 2020 behind us. It was a terrible year for so many of us and I feel that that rings true for the movie year I ended up having as well. 2020 was by far my most uninspired film year. I saw 122 movies, but nothing that felt new, exciting or, inspiring to me. Sure, I saw Apocalypse Now, and wow. Yes. I found it to be a real masterpiece of a film, even though Marlon Brando was kind of creeping me out, but that film came out in 1979.

Spending a year watching films I wasn’t really feeling made me enter 2021 in the biggest movie slump I have ever been in and so even though half of the year has passed, I don’t have much to show for it. But, with starting Biopicked and the future potentially looking brighter with people getting vaccinated and all, I am slowly beginning to find my film and tv footing again.

I am sure I am not the only one who has been feeling sad about the state of their watchlist considering theaters haven’t even been open and a lot of things have been postponed. So, I did some research and compiled a list of things to watch and be totally excited about during the second half of 2021. And yes, some of these films were of course supposed to have come out last year. They should hopefully be released soon which means that life is already starting to look a bit brighter.

If you are looking for some movie tips or just want to hear what’s on my 2021 watchlist, keep on reading!

To make this list more manageable, and just simply because I like categorizing things, I have divided these tips into five different categories. To be honest, there’s really only one tv show on there, and that can be assigned to the fact that I’ve always been more into movies than tv. So, if you have any tv tips you’re dying to get off your chest, enlighten an uninspired woman (me!) by leaving a comment on this post.

The Timothée Chalamet Section

Now let’s start off with category number one, or what I would like to call the Timothée Chalamet section. Hopefully, I am not upsetting anyone by saying this, but I think Timothée Chalamet is just alright. I don’t mind him as an actor, but I don’t find his acting to be overtly special. (Prove me wrong please!) I loved Call Me By Your Name (2017, Luca Guadagnino) though, about just as much as I like saying the name Timothée Chalamet. He just so happens to be in two of the films I am majorly excited for in 2021, so here we are.

The French Dispatch (2021, Wes Anderson)

First off, of course, we have Wes Anderson’s The French Dispatch. This was originally set to come out in 2020, but the premiere was pushed, for all the reasons we’ve already spoken about. I have no idea when this is set to premiere in my country but I can’t wait. In October maybe?

The film’s synopsis is as follows:

“A love letter to journalists set in an outpost of an American newspaper in a fictional twentieth-century French city that brings to life a collection of stories published in “The French Dispatch Magazine”.

Besides Timothée, the film also stars a lot of familiar faces such as Owen Wilson, Bill Murray, Saoirse Ronan, Tilda Swinton, Edward Norton, Jason Schwartzman, Willem Dafoe, Frances McDormand, Elizabeth Moss, and Adrien Brody. Phew. Try saying that five times fast! That’s a lot of well-known names and I probably forgot a few.

Not only is this film exciting because it’s jam-packed with talented actors and actresses — watching the trailer, it’s also pretty clear that this film promises to deliver everything we usually associate with Wes Anderson. A quirky world full of odd-ball characters, the use of bright colors (although I am not sure if some of it will be in black and white or if that is a choice made for the trailer?), symmetrical, panning camera shots as well as aesthetically pleasing film sets. I am a huge fan of Wes’s work. At this point, there really isn’t a feature film of his I haven’t seen, so it’s only natural that I’d be incredibly excited about this.

Dune (2021, Denis Villeneuve)

Another film, starring Timothée of course, that is set to come out on October 1st in the US, is Dune. I checked the Swedish release date which is September 17th, so it seems to be coming out here before the US, which is a little bit weird. Not that I am complaining in any way, because it’s released the day after my birthday, so it will be like a very much-needed birthday gift.

I like, but I don’t know much, about sci-fi. I have not seen the David Lynch movie from 1984, although I heard many interesting things about it. I have not read the book this film is based on. So, why am I so interested? It’s because of the director, Denis Villeneuve, who’s behind other great films such as Arrival (2016), Sicario (2015), and Blade Runner 2029 (2017)!

I think he just makes the most visually stunning movies. They’re sort of slow-paced, full of tension, but they also provide you with that satisfying action you crave from a blockbuster. And I really like the isolated character going on a journey that we got to witness in both Blade Runner 2029 as well as Arrival, something which I’m hoping will be a strong theme in Dune as well. Arrival is one of my favorite films, it just moved me and I think about it from time to time, so if Dune is going to be anywhere near as promising as that, I’m excited.

“F eature adaptation of Frank Herbert’s science fiction novel, about the son of a noble family entrusted with the protection of the most valuable asset and most vital element in the galaxy.”

Is it sand? Looking at the trailer I have no idea what’s happening but I am digging it, and it’s definitely got me intrigued.

The Marvel Hit-List

Over to category number two. Here we have film & tv which I am sure can be found on a lot of people’s excitement radar. Welcome to the category, The Marvel hit list!

I was never a Marvel fan before. I gave the films a shot back in the day with Iron Man (2008, Jon Favreau) up until The Avengers (2012, Joss Whedon) and then just ruled them out as not for me. But, in 2020, something changed. One of the films on my list today, I’ll of course talk about it soon, made me want to get it. I wanted to understand Marvel, enjoy Marvel and be part of the fandom. So, I watched all of the films. That experience was very mixed; there are movies I enjoyed and movies I will forever regret. Like the second half of Captain America: The First Avenger (2011, Joe Johnston), every Thor movie before Thor: Ragnarok (2017, Taika Watiti), and let’s not even talk about Avengers: Age of Ultron (2015, Joss Whedon). But, I can now be considered a fan.

As we struggled through 2020 starved for new Marvel content, it’s perfectly reasonable that the thought of these releases elicits such giddy feelings within me. I am excited about everything Marvel is releasing this year. I got super invested in WandaVision (2021) and spent a lot of time explaining to people how I thought Falcon and the Winter Soldier (2021) could have been better.

I’ve chosen to only include my top three exciting titles in this article, as it would otherwise just become a marvel text and nothing else.

Black Widow (2021, Cate Shortland)

So the film that made me want to understand Marvel is actually Black Widow. It feels like I have waited for an eternity for this to come out, but I guess I didn’t wait around as long as the Eternals.

Just look at THIS CAST. Scarlett Johansson, Florence Pugh, and Rachel Weisz in one movie? Not only do I have a major thing for Florence Pugh, she’s my girl crush, I can’t help it, but I just feel like these three together are a flawless match.

This film will show Black Widow:

in her quests between the films Civil War and Infinity War. She goes back to the past and the people she left behind in order to join the Avengers, and together with her Russian family, she will have to take down someone called the Taskmaster.

Does anyone know who is under this suit? It’s supposedly an ex-lover of Natasha’s gone bad. The film also features the Russian equivalent of Captain America, played by David Harbour. As you can see, there’s a lot of promising things going on here. Also, I will just show Florence Pugh again, because why not.

Loki (2021)

Secondly, for those of you who has read some of my other articles, you’ll probably have sensed I enjoy a good Owen Wilson. Naturally, I spent a long time being excited for Loki. The show is currently airing on Disney+, a new episode comes out every Wednesday.

According to Wikipedia, the premise of the show is:

“A fter stealing the Tesseract during the events of Avengers: Endgame (2019), an alternate version of Loki is brought to the mysterious Time Variance Authority (TVA), a bureaucratic organization that exists outside of time and space and monitors the timeline. They give Loki a choice: face being erased from existence due to being a “time variant”, or help fix the timeline and stop a greater threat. Loki ends up trapped in his own crime thriller, traveling through time and altering human history.”

I’d watch mostly anything with Owen, but I never imagined him in the Marvel Universe, and together with Tom Hiddleston as Loki. It just seems like a great fit. I think Loki is quite a well-developed Marvel character. I am sure there are a lot of us that enjoy him immensely, so I can’t wait to see more of him. The trailers have also been giving me those crime thriller vibes. As a Swede, of course, I’m digging that. All of the TV series Marvel has been releasing so far have had such a different tone, so it will be interesting to explore this one.

At first, I wasn’t feeling the weird cartoon clock in all the posters, but then I heard her speak and it just took two seconds for Miss Minutes to win me over!

Eternals (2021)

And then, let’s not forget Eternals!

IMDb describes it as follows:

“Following the events of Avengers: Endgame (2019), an unexpected tragedy forces the Eternals, ancient aliens who have been living on Earth in secret for thousands of years, out of the shadows to reunite against mankind’s most ancient enemy, the Deviants.”

I like Neil Gaiman. So when I found out he had actually written an Eternals comic I of course borrowed it from the library and read it. I’d say it’s one of the better Marvel comics I’ve read so far, a lot of them feels kind of all over the place to me, but I have now bonded with the Eternals story and can’t wait to see it on screen.

The cast is also interesting. Two dudes from Game of Thrones, Angelina Jolie and Salma Hayek being extra in a funny hat. Like seriously, why is she the only one with a hat when everyone else is coordinating? I do know that Ajak, the character she is playing, is the eternal that can speak to celestials so maybe the hat is used to enhance communication? Or maybe she just wanted everyone to see her face first in all the promo stuff.

Do you know who should have been in Eternals? Timothée Chalamet. He really doesn’t look like he’s aging. I know the film is already in post-production but could be a thing for sequels.

My most quiet nomination

It’s nice to get some peace and quiet sometimes, especially after all this excitement, but who am I kidding, I will not be getting that with A Quiet Place part II!

A Quiet Place Part II (2021, John Krasinski)

This is the follow-up to the first film which came out in 2018, most famously known for its impeccable use of silence. I thought that it was quite an engaging debut film made my John Krasinski. I am not sure it needed a sequel, but will of course watch part II just to see where the story is headed.

The blurb on IMDb also says that:

“they realize the creatures that hunt by sound are not the only threats lurking beyond the sand path.”

So maybe there will be other monsters? Or I guess just some other evil to watch out for.

By the time this article goes up it should have been recently released in a lot of countries, so worth checking out if you have the possibility to do so.

Venturing out

My next category is what I call “Venturing out”. This includes a movie I wouldn’t necessarily go for where I am hoping it will broaden my horizons a bit as to what kind of movies I like.

Luca (2021, Enrico Casarosa)

Pixar is releasing a new film this summer called Luca.

“S et in a beautiful seaside town on the Italian Riviera, Disney and Pixar’s original feature film “Luca” is a coming-of-age story about one young boy experiencing an unforgettable summer filled with gelato, pasta and endless scooter rides. Luca shares these adventures with his newfound best friend, but all the fun is threatened by a deeply-held secret: they are sea monsters from another world just below the water’s surface.”

I was never really that invested in cartoons or animated films, I can recall watching them as a kid, but I don’t have a special emotional connection to them and it’s not something I’ve usually been ready to pick up. But lately I would like to get into it, and this film just screams COZY to me. Not only will it be very summer appropriate, I love Cinque Terre and it’s so sweet seeing the familiar environment of these towns set the mood and tone for this story. I can’t wait to indulge in some warm Italian culture. The film also seems bright and some of the dialogue in the trailer is just so unbelievably cute.

The film was released on Disney+ on June 18th.

I Live and Die for Musicals — so this one is a given

And then, finally, the category: I live and die for musicals, so this one is a given.

West Side Story (2021, Steven Spielberg)

Steven Spielberg is making his own adaptation of the famous musical from 1957.

“W est Side Story explores forbidden love and the rivalry between the Jets and the Sharks, two teenage street gangs of different ethnic backgrounds.”

For those of you not familiar with West Side Story, it’s a modern retelling of Romeo and Juliet set in 1950s New York. I love the music, especially the song America. You can’t say Puerto Rico without getting me started. With this, I’m expecting fancy outfits, lots of great dance numbers, the familiar songs I have adored a lot, and if there won’t be any finger-snapping I will be largely disappointed!

The expected release date is December 10th.

And that, my friends, is all for today. Of course, there is a lot more to watch this year. Let me know all the film and tv you are excited about by leaving a comment. Join our Biopicked community and let’s discuss some movies with each other.

With all of that said.

Timothée Chalamet. Just try saying it. It’s so satisfying.

Some favorite topics to discuss right now are Owen Wilson, the color scheme of Paul Thomas Anderson’s Punch-Drunk Love (2002), the upcoming Marvel releases (we’ve waited so long for Black Widow, may it be great), and how satisfying it is to say Timothée Chalamet. Of course we like to discuss film & TV seriously as well. Please follow us on any of our socials to join in on the discussion!

About the Author

Hi! I’m Josephine. I’m the enthusiastic Swede currently behind Biopicked. I’m real passionate about cinema, film history, beautiful acting and sparkling wine. Preferably they should all be combined while enjoying some cheese. I am just a woman who is really into movies. Hopefully you will enjoy what I have to say about them.

🥞 3 things people say about me 🥞

Please consider following Biopicked if you’d like to learn more — about your favorite films, actors and directors, as well as all the things one can learn about oneself through watching movies.

It’s Show Time! But wait. What shall I watch now?

We’ve all been there, I believe. Wanting to watch something, but not knowing exactly what to watch … Wait, I think you have an option here! Well, there’s this series on Netflix that your friends have been talking about for a while. I know you’ve already watched the trailer and you don’t think you’ll like it that much, but shouldn’t you watch it anyway to get involved in their discussions? Go give it a shot!

You watched the pilot, but still …

NOT interesting! Why is everyone so hyped-up about it anyway?!

I totally understand, but before giving up, remember: your friends have told you that the story starts slowly, and then throughout the episodes, you get more and more addicted to it.

Alright Fouad, let’s see where this goes.

You finished the 8 episodes of the season — we don’t want to mention that you skipped like half of them, and still felt like these are the longest 8 episodes you’ve ever watched — and then you’re like:

Fine, fine! You feel that you lost like 8 episodes of your life. If you had known this in advance, of course, you wouldn’t have done it!

But, wait a minute … is that even an option? How can you possibly do that? How can you know if you would like something you will watch, before even watching it?

Here is where the Netflix Recommendation Engine (NRE) comes into play. NRE is composed of a set of AI algorithms that learn what you like and dislike through your interaction, and then use this knowledge to suggest what you most probably would enjoy watching next.

Questions we will be answering in this blog

See? We’ve got a lot to cover. But… First things first!

Uncovering the magic of Recommendations

Well, let’s start by saying that Netflix knows your taste better than any of your friends. Do you know why? It’s simply because the knowledge that Netflix has about you originates from YOU: your previously watched movies and series, your interaction while watching (e.g. skipping, pausing, repeating), the time you take to finish an episode, etc. This information is their way of understanding your taste and recommending what to watch next accordingly.

Seems a bit vague? Let’s clarify it through an example. Let’s imagine for a moment that Netflix has 3 users and 5 shows. These 3 users have rated (liked or disliked) the shows they watched as you can see in the figure below.

The problem that Netflix needs to solve is: Given the above matrix, what shall we recommend for a specific user to watch next? Here we have 2 approaches:

1. Content-Based Filtering

As a first intuition, someone might try to deduce the content that a person will like based on what he has watched before. So, if we take as an example user A, we can see that she is more into action stuff than she is in comedy, and as a result, the next recommendation would be something like Prison Break. That’s the intuition!

Here the process is simple, you know. A few shows … fewer users… but in real life, it’s a bit more complicated. What we really do in Content Filtering is characterize the content we have (the shows) according to specific features (like how much it involves comedy, how much it involves action, etc), and then recommend content that is similar to what the user usually likes. That’s one way of doing things.

2. Collaborative Filtering

Collaborative filtering is the other way around where recommendations are not only based on what the user has watched. They’re based on what other similar users have watched and enjoyed. And how’s that exactly? Well, instead of characterizing content according to specific features, we characterize the users themselves (like how much drama they enjoy, how much comedy they like watching, etc). This information is taken once the user signs up for Netflix and gets updated according to what he watches. Like this, we will be able to identify similar users that share a similar set of features, or in other words, a similar taste, and this similarity will help empower future recommendations.

The picture below summarizes the difference between Content-Based and Collaborative filtering. It’s good to know that Netflix uses a mix of these two approaches to ensure better recommendations.

See? The process is simple. One last detail to clear your thoughts is: how do we obtain the features that we talked about, and what are they exactly? Well, you should note here that these features are not known beforehand, they are learned, and that’s the role of Machine Learning (ML) in the process. Once these features are learned, we can represent each user and each show by a vector or what we call “an embedding” in an n-dimensional space. Representing users and shows in the space will help us group similar users and similar shows together (because they will be close to each other), and this enhances future recommendations substantially. To understand how these embeddings are learned, you need to know the idea of Matrix Factorization.

Another new terminology. What does it mean?

Okay. In SIMPLE terms, Matrix Factorization is the process of replacing a matrix with 2 different matrices whose multiplication will give us our original matrix back.

Oh, it’s easy trust me. But anyway, let’s take a step back. When you learned about factorization in young classes, they used to ask you to factorize x² — 1 as a product of 2 polynomials, remember?

Genius old you would have easily noticed that x² — 1=(x — 1)(x+1). See how easy that was? Now the same thing applies to matrices. So in our case, we have a rating matrix containing information about how users rated specific shows. What we want to do through Matrix Factorization is find from our original matrix 2 matrices, one for the users and one for the shows. The product of these 2 matrices is supposed to give us back (approximately) the original rating matrix where we have a (+1) for a like and a (-1) for a dislike. Let’s examine the following figure and everything will become clearer.

To get the matrices for the users and the shows, we use ML. The goal is to find matrices that would give us the least error between the result of their product and the real original matrix. In our small example, we used 2 features to represent a user or a show, but in real life, the number is way more than that. The process of finding the 2 matrices happens according to the traditional ML workflow. At first, we initialize them randomly, and then we keep updating them in a way that their product becomes as close as possible to the real rating matrix. Once we have the 2 matrices, their product will give us what we call the Predicted Rating Matrix as you can see in the figure below.

Ok Fine, but what did we achieve?

Excellent question! If you look at the predicted rating matrix that we obtained, you can see that it contains numbers. These numbers reflect how each user would rate a specific show, and as a result, they show how much a user is supposed to enjoy a specific show. So, this matrix is sufficient for future recommendations. Let’s look at user B to understand things more. We can see that user B has already watched Friends and Blacklist. So, at this point, we need to recommend a show from the remaining ones (La Casa De Papel, Prison Break, and HIMYM). If we look at the predicted rating matrix we derived, we can see that user B is supposed to rate HIMYM the highest, so that would be the next recommendation.

See? That’s the intuition behind it: we predict how much a user would like a show and accordingly see if we recommend it or not.

Now that we know how Netflix uses AI to know what to recommend, it’s time to see how they use AI to know how to recommend it in the best possible way.

Going From Simple Recommendations to Personalized thumbnails

As you know, Netflix gives you suggestions in the form of image thumbnails. I’m sure you have noticed that while watching a series, for example, there are several times where you see the thumbnail of this series change. That’s not new information for you I assume. But what you might not know is that these thumbnails you’re seeing, they’re not common to everyone! These are personalized for you! And so, the thumbnail you’re seeing at a specific time for a specific show is not the same as what any other Netflix user is seeing.

But … Why does Netflix do this?!

Well, it has been proven that thumbnails have a great effect on you watching a show or not. In fact, the thumbnail is the first thing that gets your attention — even before the title — and by the end of the day, the goal is not only to recommend. The goal is to recommend in a way that maximizes the chances of you watching the recommendation to ensure a great user experience. Since thumbnails are that important, Netflix goes through a specific process before deciding which ones are relevant to show you.

So, I think now it’s clear how AI is shaping Netflix recommendations in many ways to guarantee the best possible user experience. But the use of AI does not end at this stage in Netflix!

AI use cases that we don’t clearly see as users

Besides recommendations and thumbnails personalization — that might be clear to us as end-users — there are other use cases where Netflix uses AI for better decision-making.

1. Stream Optimization

Netflix has more than 200 million subscribers around the world. With this huge number, it usually becomes a bit difficult to always offer the best streaming quality. But with the help of AI, Netflix can predict based on the users’ activities what would be the shows they will be watching. For this purpose, Netflix caches these shows ahead of time to servers that are close to the end-users. This way, subscribers would be able to stream them with high quality even during peak hours, and this is why the majority of the users don’t even notice the presence of this problem at all.

2. Pre-Production

As you know, Netflix produces originals. But in order to do this in a successful way, Netflix uses the data they collect about users and their preferences to produce something they most likely will enjoy. From this data, they can decide on the main actors, the places for shooting, the budget they will spend, the countries where the show would be available, etc. So, they need to optimize things in a way that guarantees the success of the show from one side and a great user experience from the other side.

3. Post-Production

After deciding on the production details and finishing the shooting process, Netflix uses AI to make sure that the filming and the quality of the scenes are as intended. The role of AI here is mainly to specify the scenes that require further attention while editing. This reduces the human effort and the amount of time that would’ve been spent if the scenes were checked manually.

Final Thoughts

After getting to see how much Netflix relies on AI and on data-driven solutions, you might be asking yourself:

Why go through all of this trouble?!

You’re right! In fact, AI solutions are costly on many levels. So why does Netflix insist on using AI through different stages? The short answer to this is “the business needs”. In fact, no company uses such AI solutions just because they’re cool, NO! The goal is to keep the customers engaged and happy as much as possible, and give them the best experience because this would result in a higher subscription rate and a lower cancellation rate. The way Netflix uses AI has proven itself to be worthy.

“80% of what people play on Netflix actually comes from the recommendation algorithm, so it’s a really big lever for Netflix, it’s a really important part of what we do.” — Aish Fenton, Netflix Director of Machine Learning, 2018

But as promising as this sounds, the process is not challenge-free!

Of course, this is something expectable. Applying AI to understand the taste of a huge number of users is not supposed to be perfect all the time. So it is true that most of the recommendations that Netflix gives are accurate, but this does not mean that it’s always accurate, and this is because the human taste by itself is not something very static. Our taste changes with time, and what we enjoy watching today might have been something we used to hate 5 years ago. But despite all of that, the recommendation system in Netflix overcomes these challenges as much as possible by learning and adapting to the diversity of the users and their different tastes, and that’s one essential reason for their proven success.

Conclusion

Now I’m sure you know how AI impacted the revolution at Netflix and how they’re using it to always keep their users satisfied. From this blog, you’ve got a better intuition on how Netflix learns about your taste to recommend a show that you enjoy, and most importantly, you understood that these recommendations are not random or common, as you might have thought at some point. You also got the chance to discover some hidden areas where Netflix is applying AI, and finally, you saw what benefits and challenges this AI usage brings to the table.

The takeaway from this blog

Since by now you know the challenging process that Netflix goes through to understand your taste, for the next time, when you’re wondering what you should watch, don’t ask your friends, don’t watch something you don’t like just to follow up with their discussions. Just grab your popcorn and go to Netflix! I’m sure they will have something better for you. Happy Watching 😀

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How to properly turn on Apple Watch? What should I do if iWatch does not turn on?

You have become a happy owner of a modern gadget, but don`t know how to turn on an Apple Watch? Then this information is for you!

Enabling iWatch

Before you start your purchase for the first time, you need to put the watch on charge and don`t touch for a couple of hours to fully charge. After all, this will guarantee a long battery life.

The first acquaintance with the smart-watches is quite an exciting moment. The first inclusion of Apple Watch may be a bit disappointing for some gadget fans of the legendary company. This is due to the fact that the time allotted to start the device is just over one minute.

Such a slow speed is a nuance, which can be fully tolerated, since such a miracle of technology is the first of its kind among Apple products. Exactly, the first launch of a smart clock is 1 minute and 10 seconds.

It is necessary to understand that in such a small device, which is the first-born of its generation, could not fit powerful iron. In this case, only the first launch of the gadget takes such a time and for ordinary users in the future this time will be reduced to «no.»

How do I start iWatch?

After unpacking the clock and visual inspection, you should activate them, i.e. activate iWatch. How to turn on Apple Watch for the first time:

Photo: Language selection on Apple Watch After 1 minute and 10 seconds, you can start creating a pair of iWatch and iPhone (5 or newer model).

Creating a pair of iWatch and iPhone

First, make sure both devices are turned on, the phone is active:

Devises should be located close to each other. On the phone, you need to open the iWatch application.

The first activation of Apple Watch includes synchronization between devices, so the query «Create a pair» appears on the clock screen and the i icon, responding positively to it, the same manipulations should be performed on the smartphone.

Then the phone camera is sent to the device screen, a few seconds of animation — and the pair is created. Asking how to turn on Apple Watch for the first time, you need to know the following points that arise when you synchronize with your smartphone: First turn on the iWatch smart watch

The process doesn`t take much time. Apple Watch does not turn on

Why don`t iWatch smart watches turn on?

What should I do if Apple Watch does not turn on? The reasons for this may be the most common — it’s a discharged battery. To eliminate another problem, connect the device to the charging and try to turn it on by pressing and holding the side keys. In the event that the problem is really in the battery, let the battery fully charge, and then use the clock.

If after the done actions iWatch is not included, maybe the reason lies in the «glitch» of the system. Then a reboot is required. Although this wrist accessory is small enough, it is a mini-computer, and how any system can sometimes fail. How to Enable Apple Watch? To restart them you need to simultaneously press the side button and the Digital Crown wheel and hold for ten seconds. Don`t worry, this operation won`t lead to loss of settings and data.

Instead of the conclusion

Turning on the Apple Watch can cause difficulty in the case of a dead battery and a breakdown of the charger. When charging an accessory, make sure that the cord and the unit are OK.

In the event that this didn`t help to launch the Apple Watch system, then, more likely, it is a breakdown that carries a technical nature. Don`t try to disassemble the gadget on your own. It is better to contact the nearest service center, where the master will unambiguously determine the reason why your accessory doesn`t turn on.