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Facebook is rolling out an update to Messenger that will allow page owners to toggle back and forth between personal messages and customer messages.
Business owners can finally respond to customers from the same app they use to communicate with friends and family on Facebook.
The ability to toggle back and forth between different inboxes allows businesses to respond quickly without having to open another app.
All incoming messages are now conveniently grouped together in the same app. But they’re still separated enough to prevent businesses from accidentally responding to a customer from their personal account.
When responding to messages, the business owner can choose whether they want to respond as themselves or as the business.
This should be a worthwhile upgrade to the workflow of business owners, as Facebook says over 90% of business page admins already use Messenger to chat with friends and family.
Facebook’s research indicates most page admins would prefer not to download and manage multiple apps, which makes this upgrade to Messenger an ideal solution.Fast Replies = Happy Customers
This update to messenger isn’t all for the benefit of page admins, as it’s also designed to improve the speed at which customers receive replies from businesses.
Customers frequently have questions that come up on their path toward making a purchase. Such as questions about store hours, product availability, delivery and pick-up options, and more.
Being able to respond to customers quickly can make the difference between the customer buying from your business versus a competitor.
Facebook cites a Hubspot survey which states that 90% of customers rate an immediate response as important or very important when they have a marketing or sales question.
In ensure a message never goes unanswered, businesses can even choose to receive additional notifications so they don’t forget to reply to customers.
That means they’ll receive the initial notification when a message is received, and then another notification after some time has passed without a reply.
This is especially helpful at a time where the coronavirus pandemic has forced businesses to operate with limited staff due to layoffs.
Now, business owners who find themselves having to manage a host of new responsibilities can still stay on top of customer messages.Not Replacing the Page Manager App
This upgrade to Facebook Messenger is not intended to fully replace the message functionality built into the Page Manager app.
This update from Messenger is simply a different way to respond from an app that many page admins are already using.
There are no additional steps required in order to send and receive business messages through Facebook Messenger.
As long as a page admin’s personal account is connected to their business’s Facebook page, then this update will roll out automatically.
For more on the latest updates to Facebook Messenger, see our coverage below:
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It can be frustrating when you can’t find important messages or chats on Facebook. You might’ve even concluded that you’ve deleted them already. However, Facebook has a reputation for keeping memories (read data). Hence, there are ways to recover deleted messages on Facebook and Messenger using iPhone and the web.
Read this article to find out those tricks and retrieve your messages!
Check archived messages on Facebook and Messenger
If you can’t find a chat or message, you might’ve archived it instead of deleting the chat permanently. Similar to finding archived posts on Instagram, you can retrieve archived messages on Facebook Messenger. Your lost messages might just be there.
Here’s how to do it:See archived chat on the Messenger app using iPhone
Open the Facebook Messenger app on your iPhone.
Tap the picture icon at the top right.
Select Archived chats.Find archived chat on the Facebook website
On the web, log in to your Facebook account and follow these steps:
However, if you can’t find your chats in the archived messages, they may be gone forever. But there’s one more hopw!
Downloading your chat data from Facebook may help you to recover deleted messages. Before deleting your messages from the server, Facebook saves the data for a certain period. Hence, you may find your deleted messages in the Facebook data if you are on time.
How it works? Well, once requested, you’ll get a zipped file containing your chat history with each of your Facebook friends.
How to download Facebook data on iPhone
Open the Facebook app.
Tap the small picture icon at the bottom right.
Scroll down and tap Settings & Privacy.
Select Privacy shortcuts.
Scroll down, and select Access your information under Your Facebook information.
Choose Deselect All → select Messages.
Scroll to the bottom and tap the dropdown under Date range to choose a date range.
Once your download is ready, tap Download.
Pick the downloaded file from the list.
How to download Facebook data on the Facebook website
Note: If you deleted messages and can’t find them in the downloaded data, you can get a copy of these chats from your friends if they’ve not deleted it from their end. A recommended way is to tell them as soon as possible to follow the steps for downloading their Facebook message data as explained.
So, that’s how you can access removed messages on Messenger or Facebook! However, many people told me that many third-party apps promised to recover permanently deleted Facebook messages on iPhone. But is it really true and safe? Find out!Can you download Facebook messages via third-party apps?
Well, when you delete a message on Facebook, it is permanently removed. While some third-party apps might claim to help download your Facebook data, this isn’t true and can be a portal to a privacy breach. So be careful what apps you grant access to your Facebook history.
As said earlier, using the Facebook app method itself works better and is secure than any other third-party option.
Besides, deleted or wiped chats might become unretrievable on Facebook as these aren’t on Facebook’s server anymore. So, don’t fall for third-party apps making such commitments!
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Idowu is an avid tech writer and a software surfer who loves covering knowledge gaps in consumer software, including anything related to iPhones. Well, when he’s not reading and learning new things, you’ll find Idowu losing gallantly on a solid chessboard or virtually on Lichess.
In the U.K., it’s okay to sue other people by airdropping their digital wallets with NFTs.
Yes, you read that right. A judge in the U.K. granted permission to serve a person a lawsuit using a blockchain ledger via a non-fungible token — marking the first time an NFT gained the status of legal documentation in court proceedings in the country, according to court documents initially reported by Bloomberg.
A U.S. court made a similar decision to authorize lawsuit filings via NFTs in June. As such, NFTs are becoming more normalized in court proceedings on an international basis.How to sue with NFTs
This comes on the heels of a case brought to the U.K. courts by Fabrizio D’Aloia, the founder of online gambling company Microgame, who is suing the cryptocurrency exchange Binance Holdings in addition to other platforms. D’Aloia filed his claim after crypto assets appeared to be cloned in a fraudulent manner on the brokerages. The court also found that the exchanges were responsible for ensuring that stolen crypto isn’t removed from their systems.
So how does it work? In the U.K., the lawsuit will be airdropped, with legal documents deposited via NFT into two wallets initially used by D’Aloia and then stolen by those accused of fraud. “There can be no objection to it,” said Justice Trower in an interim relief hearing last month, according to a report from The Law Society Gazette.
“Rather it is likely to lead to a greater prospect of those who are behind the tda-finan website being put on notice of the making of this order, and the commencement of these proceedings,” added Trower, in the report.
This is the latest in a series of increasingly innovative steps taken to assist victims of crypto fraud worldwide. Indeed, the U.K. ruling is “a welcome example of a court embracing new technology,” said D’Aloia’s representative legal firm, Giambrone & Partners. “It is also a significant judgment as it demonstrates how England and Wales is one of the best jurisdictions in the world, if not the best, when it comes to protecting the victims of cryptoasset fraud.”Could NFTs help regulate themselves in legal disputes?
As NFTs have gained more mainstream endorsements, the frequency of misuse has become a growing concern. In March, an NFT project dubbed Frosties was revealed to be a scam in the wake of its developers absconding with more than $1 million in ETH — just hours after launching the project.
In other words, it was a major rug pull.
The two men allegedly behind the rug pull — Ethan Nguyen and Andre Llacuna — were arrested and charged with wire fraud and money laundering in the Southern District of New York, on March 24 of this year. Before the arrests, the two were allegedly getting ready to launch another scam NFT project, dubbed “Embers,” which would have garnered another $1.5 million in primary sales for the duo.
This was just one project, but what happens when a major NFT platform is implicated in criminal activity? Early in June, the FBI charged a former OpenSea employee with insider trading. This is one of the oldest and most ubiquitous white-collar crimes in history, which puts the misuse of NFTs on par with some of the oldest industries in existence.
Correction: An earlier version of this article suggested the U.K. court accepted payment via NFT. This has been updated to reflect that the lawsuit was merely recorded and served via NFTs, on the blockchain.
Google’s Search Relations team explains why they cannot answer direct messages from SEOs and site owners, according to company policy.
This topic came up during the September 21 episode of Google’s Search Off the Record podcast.
Google’s John Mueller, Gary Illyes, and Martin Splitt discuss how they deal with being asked SEO questions in private messages.
They all agree they’re prohibited from answering such questions as per a company policy designed to maintain a “level playing field.”
With that being the case, they all have a similar way of dealing with questions sent privately via email or Twitter.
Here’s more about Google’s “honest results” policy, and how each Googler manages their DMs.Google’s Honest Results Policy
There exists within Google a policy called honest results that helps keep the playing field equal for everyone on the web.
A way Google’s Search Relations team abides by this policy is to not give preferential treatment to anyone.
That means not providing assistance to site owners via private channels.
If a Googler responds to a question in private they could potentially provide information that others don’t have access to, which would make the playing field unequal.
Illyes explains how he flat out doesn’t respond to DM’s, regardless of who is sending them:
“So, basically, it doesn’t matter if you are a small publisher or a big publisher, or you spend 1 dollar or you spend nothing with Google, or you spend millions of dollars with Google Ads… it doesn’t matter.
We have to keep the playing field equal for everyone. Based on that policy, I usually opt for not answering.”
Mueller takes a slightly different approach. Rather than not answering DMs, he tries to funnel them through public channels.
Asking Googlers questions publicly is an acceptable alternative to sending private messages, and much more likely to get a response.Need Help From Google? Ask in Public Channels
Googlers can’t answer DMs, but that doesn’t mean they can’t answer questions at all.
In fact, Google’s Search Relations team is quite active on Twitter answering questions that are asked publicly.
Providing answers that everyone can see helps keep the playing field equal for all SEOs and site owners.
In addition to sending public questions on Twitter, other appropriate channels include:
Google Webmaster Help Forums
John Mueller’s Webmaster Hangouts
Martin Splitt’s Webmaster Hangouts
Conferences & public appearances
Those are just a few examples, as any public platform should be acceptable. Mueller is even known to answer questions on Reddit sometimes.
While Mueller doesn’t answer questions privately, he does check his DMs saying they’re helpful for identifying systemic issues.
At times, Mueller even escalates issues via DM although he doesn’t respond directly.
Illyes does this as well, noting that DMs and emails have helped Google catch outages in the past.
The team adds it’s not uncommon for businesses to quote how much they spend on Google Ads trying to get one-on-one assistance with organic search issues.
To them the answer is the same: go through the public channels.
Googlers cannot even help their own friends and family privately with search-related issues.
For more insights from this discussion, listen to the full podcast below:
Over the last few years, Facebook has struggled to find a home for its gaming feature. The social media games were once found in the Facebook Messenger app, but can now only be accessed via the Facebook app itself.
In this article, we’ll explain how you can play games on Facebook and what kinds of games are available.
Table of ContentsCan You Play Games on Facebook Messenger?
Facebook Messenger games used to be accessible via a game controller icon hidden inside chats in the Facebook messaging app. These games could be played as embedded apps or via video calls in Messenger Rooms.
In the latest version, games are found via the Facebook website or Facebook app (rather than the Facebook Messenger app). This is true for both iPhone and Android users. If a multiplayer game is started, you’ll be able to send an invite to another player via Messenger, but the game has to be initiated from the Facebook app.What Games Can You Play on Facebook?
The number of Facebook instant games has risen exponentially over the last few years. Starting with a humble 17 games, there are now hundreds of single and multiplayer games available to play.
Here are some of the best games:
EverWing – A scrolling shooter game using dragon sidekicks to fight against monsters.
8 Ball Pool – A virtual billiards game that you can play with friends.
Candy Crush Saga – A version of Candy Crush that is playable on Facebook.
FarmVille 2 – A remake of the famous FarmVille game, playable on Facebook or as a standalone app.
Note: Unfortunately, some of the popular games that used to be available no longer are, including Space Invaders, Pac-Man, and Galaga.How to Play Games on Messenger
To play games in the Facebook app:
apps. These can be found in the Google Play Store if you use an Android device, or the App Store if you use an Apple iOS device like an iPhone or iPad.
On the Facebook app, log in to your Facebook account.
On the home page, tap the icon made of nine squares in the top-right corner of the screen.
Under “All shortcuts”, tap
Choose the game you would like to play. If it’s a multiplayer game, you can send an invite via Messenger for another person to have their turn. They will receive a notification informing them of your invite that they can use to access the game.How to Play Games on the Facebook Website
To play games on the Facebook website:
in your web browser and log in to your account.
Select the game you want to play. As above, you can send invites via Facebook messenger for multiplayer games, or play alone if you wish.Gaming Has Never Been Easier
If you’re looking for something to do on your lunch break or you just want an excuse to message someone you haven’t spoken to in a while, why not try Facebook’s instant games? Hopefully, with this tutorial, you can get your Messenger gaming up and running again.
The world is drooling overTop Expertise to Develop For Machine Learning & Data Science
If you want to excel in any field, you first need to develop the skills. Here’s a list of all the skills required if you’re going to learn ML & data science. Math: It is all about permutations and combination complemented with your calculation ability to be able to link yourself with machines. Data Architecture: To be able to reach the core of any technology, you must have a broad idea of the data formats. Software Structures: There is no ML without software, and a data engineer should be clear with concepts related to software and their working. Programming & Languages: If you do not know anything about this, there is no ML for you. Programming languages are the essential requirement for one to be able to build a career in ML. Differencing and Data Mining: If you have no clue about data, you are a zero. To be able to learn ML, data mining, and the ability to infer the information is crucial.Java: Machine Learning & Data Science’s Future
Java is a technology that proves beneficial in varied arrays of development and ML. One of the critical things in ML & Data Science is algorithms. With Java’s available resources, one can efficiently work in various algorithms and even develop them. It is a scalable language with many frameworks and libraries. In the current scenario, Java is amongst the most prominent languages in AI and ML. Some of the reasons why Java is an excellent alternative for a future in Data Science, Machine Learning, and finally, Artificial Intelligence are:Pace of Execution
If you are arguing about the speed of coding and execution, Java takes the lead in it, which means faster ML & DS technologies. Its features of statically typing and compilation are what makes it super in execution. With a lesser run time than any other language, knowing Java means you are good to go in the ML industry.Coding
Indentation in Java is not a must which makes it easier than Python or R. Also, coding in Java may require more lines, but it is easier than in other languages. If you are well-versed with coding, Java will be beneficial in ML and DS.Learning Curve
Java has a lot of areas where one must work hard. The learning curve for Java and allied language is quicker and more comfortable than other languages in totality. Suppose you know a language better and efficiently. In that case, it means that you can enter the domain at a more accelerated pace than through any other language whose learning curve is typical of Java.Salary Packages
Java has been in use for 30+ years. The future salaries of people who know Java are perceived to be higher than through any other language. We are not saying that you might not have a handsome amount in your hand if one knows Python. Instead, we are just focusing that with Java’s legacy in place, the salaries you get in your growth years are expected to be more for people who know Java.Community
Java will complete three decades of existence and is still one of the most prevalent and popularized languages. It means that numerous people in the enterprise know the language and will provide you with support in requirements. Several people in DS and ML are working through Java. It is an additional benefit that you can avail of if you learn ML and DS with Java.Varied Libraries
With Java, you have access to various libraries in Java for learning ML. To name a few, there are ADAMS, Mahaut, JavaML, WEKA, Deeplearning4j, etc.
The world is drooling over Artificial Intelligence . From research institutions to corporate houses, every organization aims to create AI-driven systems to build their enterprise. Machine Learning, or more commonly known as ML, is a sub-array of AI. With ML, you can teach the machines to behave like humans, i.e. develop brains in a machine. The result is automated machines that know-how and what is to be done. One commonly used place for AI & ML is Maps. Have you noticed that it shows you the route with the least traffic and the best route? That happens through ML along with other technologies. Another hot thing in the technological sphere is Big Data and its management. Big data is a terminology utilized for data of all types. It incorporates structured, semi-structured, and unstructured data. Be it any type of organization, you will always have a lot of data related to operations, finance, marketing, manufacturing, sales, etc. How you utilize and manage this data is the work of data scientists. Machines absorb the information that is further utilized and adopted in AI is all related to Big Data. Hence, to dive into AI, you will have to be accustomed to ML and Big data . Data science, ML, big data, and AI are all interlinked and synchronized. If you are talking about turning a machine like a human, it requires you to feed it in the language that it understands. Yes, we are talking, i.e. programming languages. Some of the commonly practiced languages for ML and Decision science are Python, Java, etc. But Java is a language that one must never forget. If you know Java Outsourcing Company , you can hop on the bandwagon of ML with great ease. How will it happen? Read along to learn chúng tôi you want to excel in any field, you first need to develop the skills. Here’s a list of all the skills required if you’re going to learn ML & data chúng tôi is all about permutations and combination complemented with your calculation ability to be able to link yourself with chúng tôi be able to reach the core of any technology, you must have a broad idea of the data formats.There is no ML without software, and a data engineer should be clear with concepts related to software and their chúng tôi you do not know anything about this, there is no ML for you. Programming languages are the essential requirement for one to be able to build a career in chúng tôi you have no clue about data, you are a zero. To be able to learn ML, data mining, and the ability to infer the information is chúng tôi is a technology that proves beneficial in varied arrays of development and ML. One of the critical things in ML & Data Science is algorithms. With Java’s available resources, one can efficiently work in various algorithms and even develop them. It is a scalable language with many frameworks and libraries. In the current scenario, Java is amongst the most prominent languages in AI and ML. Some of the reasons why Java is an excellent alternative for a future in Data Science, Machine Learning, and finally, Artificial Intelligence are:If you are arguing about the speed of coding and execution, Java takes the lead in it, which means faster ML & DS technologies. Its features of statically typing and compilation are what makes it super in execution. With a lesser run time than any other language, knowing Java means you are good to go in the ML industry.Indentation in Java is not a must which makes it easier than Python or R. Also, coding in Java may require more lines, but it is easier than in other languages. If you are well-versed with coding, Java will be beneficial in ML and chúng tôi has a lot of areas where one must work hard. The learning curve for Java and allied language is quicker and more comfortable than other languages in totality. Suppose you know a language better and efficiently. In that case, it means that you can enter the domain at a more accelerated pace than through any other language whose learning curve is typical of chúng tôi has been in use for 30+ years. The future salaries of people who know Java are perceived to be higher than through any other language. We are not saying that you might not have a handsome amount in your hand if one knows Python. Instead, we are just focusing that with Java’s legacy in place, the salaries you get in your growth years are expected to be more for people who know chúng tôi will complete three decades of existence and is still one of the most prevalent and popularized languages. It means that numerous people in the enterprise know the language and will provide you with support in requirements. Several people in DS and ML are working through Java. It is an additional benefit that you can avail of if you learn ML and DS with chúng tôi Java, you have access to various libraries in Java for learning ML. To name a few, there are ADAMS, Mahaut, JavaML, WEKA, Deeplearning4j, etc. We hope that now you know why one must learn Machine Learning and Data Science in Java. With its scalability, versatility, and balanced demand, you will always have to work with Java.
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