Connect with us

NEWS

Facebook’s Workplace hits 3M paying users, launches Portal app in a wider push for video

Published

on

The rapid rise of Slack — which has recently broken the 100,000 mark for paying businesses using its service — has ushered in a rush of competition from other companies across the worlds of social media and enterprise software, all aiming to become the go-to conversation layer for businesses. Today, Workplace, Facebook’s effort in that race, announced a milestone in its growth, along with a bigger push into video services and other improvements.

The service — which starts at $1.50 per month per front-line worker and then has tiers of $4 and $8 — now has passed 3 million paying users, adding 1 million workers from mostly enterprise businesses in the last eight months.

And to capitalize on Facebook’s growing focus on video in its consumer service, Workplace is announcing several steps of its own into video. It’s releasing a special app that can be used on the Portal, Facebook’s video screen; and alongside that, it’s announcing new video features: captioning at the bottom of videos; auto-translating starting with 14 languages; and a new P2P architecture that will speed up video transmission for those who might be watching videos on Workplace in places where bandwidth is constrained.

The features and milestone number are all being announced today at Flock, the Workplace user conference that Facebook puts on each year. Alongside all these, Facebook also announced several other features for its enterprise app (more on the other new features below).

The push to video comes at an interesting time for Workplace on the competitive front. Karandeep Anand, who came to Facebook from Microsoft and currently heads up Workplace with Julien Codorniou managing business development, has made a point of differentiating Workplace from others in the field of workplace collaboration by emphasizing how it’s used by very large enterprises like Walmart (the world’s largest single employer) to bring together on to a single communication platform not just white-collar knowledge workers but also frontline workers.

The company says that today, its customers include 150 companies with over 10,000 active users apiece, with other names on its books including Starbucks, Spotify, AstraZeneca, Deliveroo and Kering.

The push to video follows that trajectory: it’s a way for Workplace (and Facebook) to differentiate the experience and use cases for the product to businesses, which might already be using Slack but might consider buying this as well, if not migrating away from the other product altogether. (Teams is a different ballgame, of course, as it has a strong video component of its own and also likes to position itself as a product for all kinds of employees, too.)

Workplace’s video efforts here will mark the first time that Facebook is positioning Portal as a product for businesses. This is notable, when you consider there has been some adoption of Amazon’s Alexa in workplace scenarios, too; and that there has been some pushback from consumers about the prospect of having a Facebook video device sitting in their homes. This gives Facebook’s $179 hardware (which will be sold at the same price to businesses) a new avenue for sales.

Video has been a cornerstone of how Workplace has been developing for a while now, with companies using it as a way for, say, the big boss to send out more personalised communications to workers, and for people in workgroups to create video chats with each other. A dedicated screen for video chats takes this idea to the next level, and plays on the fact that video conferencing services like Zoom have caught on like wildfire in modern offices, where people who work together often work in disparate locations.

There is another way that Portal could find some traction with businesses: videoconferencing solutions tend to be very expensive, in part because of the hefty hardware investments that need to be made. Offering a device at $179 drastically undercuts that investment. Codorniou declined to comment on whether Facebook might make a more concerted effort to push this as a cost-effective videoconferencing alternative down the line, but he did point out that today Facebook and Zoom have a close relationship.

The other video features that Workplace is announcing today will further enhance the experience: Facebook will now give users the option to include automatic captions at the bottoms of videos, with the bonus of translation, initially in 14 languages. And the improved video quality for those with limited bandwidth is significantly not something that Facebook has rolled out in its consumer app: the aim is to improve the quality of broadcasting in scenarios where bandwidth might not be as strong but there are simultaneous people watching the same event — something you could imagine applying, say, at a company all-hands or town hall event with remote participants.

Alongside all of these video features, Workplace is adding in a host of other features to expand the use cases for the product beyond basic chatting:

  • New learning product. This is not about e-learning per se, but Workplace is now offering a way for HR to add onboarding teaching and videos into Workplace for new employees or new services at the company. There are no plans right now to expand this to educational content, Codorniou said.
  • Surveys are also coming to Workplace. These will be set by administrators — not any worker at any time — and it seems that for now there will be no anonymity, so that will mean it’s unlikely that these will cover any sensitive topics, and might in any case see a chilling effect in how people feel they can respond.
  • Frontline access is getting overhauled in Workplace, where people who do not use company email addresses will now be able to create accounts using generated codes.
  • Those admins that are trying to track how well Workplace is actually working for them will also be able to track engagement and other metrics on the platform.

Workplace is also adding in some gamification features to the platform, where people can publicly thank people, set and follow workplace goals and award badges to individuals who have achieved something in areas like sales, anniversaries or other positive milestones.

As with the video features, the idea is to bring services to Workplace that you are not necessarily getting in Slack and other competitive products. That is the maxim also when the features are replicas of features you might have seen elsewhere, but not all in one consolidated place.

Asked what he thought about the claims that Facebook is too much of a “copycat” when it came to building new features, Codorniou was defensive. “I think Workplace itself is getting to a market that has been untouched before. When it comes to badges or goals, for example, yes people have but these before, but the difference is that we are offering them to a wide network of people. If you have to use a separate app, it’s not a great experience.”

And, he added, “everything that we ship is the result of customer feedback and requests. If they tell us they want these, it means they’re not finding what they needed on the market.”

NEWS

What can ChatGPT do?

Published

on

ChatGPT Explained

ChatGPT is a large language model developed by OpenAI that is trained on a massive amount of text data. It is capable of generating human-like text and has been used in a variety of applications, such as chatbots, language translation, and text summarization.

One of the key features of ChatGPT is its ability to generate text that is similar to human writing. This is achieved through the use of a transformer architecture, which allows the model to understand the context and relationships between words in a sentence. The transformer architecture is a type of neural network that is designed to process sequential data, such as natural language.

Another important aspect of ChatGPT is its ability to generate text that is contextually relevant. This means that the model is able to understand the context of a conversation and generate responses that are appropriate to the conversation. This is accomplished by the use of a technique called “masked language modeling,” which allows the model to predict the next word in a sentence based on the context of the previous words.

One of the most popular applications of ChatGPT is in the creation of chatbots. Chatbots are computer programs that simulate human conversation and can be used in customer service, sales, and other applications. ChatGPT is particularly well-suited for this task because of its ability to generate human-like text and understand context.

Another application of ChatGPT is language translation. By training the model on a large amount of text data in multiple languages, it can be used to translate text from one language to another. The model is able to understand the meaning of the text and generate a translation that is grammatically correct and semantically equivalent.

In addition to chatbots and language translation, ChatGPT can also be used for text summarization. This is the process of taking a large amount of text and condensing it into a shorter, more concise version. ChatGPT is able to understand the main ideas of the text and generate a summary that captures the most important information.

Despite its many capabilities and applications, ChatGPT is not without its limitations. One of the main challenges with using language models like ChatGPT is the risk of generating text that is biased or offensive. This can occur when the model is trained on text data that contains biases or stereotypes. To address this, OpenAI has implemented a number of techniques to reduce bias in the training data and in the model itself.

In conclusion, ChatGPT is a powerful language model that is capable of generating human-like text and understanding context. It has a wide range of applications, including chatbots, language translation, and text summarization. While there are limitations to its use, ongoing research and development is aimed at improving the model’s performance and reducing the risk of bias.

** The above article has been written 100% by ChatGPT. This is an example of what can be done with AI. This was done to show the advanced text that can be written by an automated AI.

Continue Reading

NEWS

Google December Product Reviews Update Affects More Than English Language Sites? via @sejournal, @martinibuster

Published

on

Google’s Product Reviews update was announced to be rolling out to the English language. No mention was made as to if or when it would roll out to other languages. Mueller answered a question as to whether it is rolling out to other languages.

Google December 2021 Product Reviews Update

On December 1, 2021, Google announced on Twitter that a Product Review update would be rolling out that would focus on English language web pages.

The focus of the update was for improving the quality of reviews shown in Google search, specifically targeting review sites.

A Googler tweeted a description of the kinds of sites that would be targeted for demotion in the search rankings:

“Mainly relevant to sites that post articles reviewing products.

Think of sites like “best TVs under $200″.com.

Goal is to improve the quality and usefulness of reviews we show users.”

Advertisement

Continue Reading Below

Google also published a blog post with more guidance on the product review update that introduced two new best practices that Google’s algorithm would be looking for.

The first best practice was a requirement of evidence that a product was actually handled and reviewed.

The second best practice was to provide links to more than one place that a user could purchase the product.

The Twitter announcement stated that it was rolling out to English language websites. The blog post did not mention what languages it was rolling out to nor did the blog post specify that the product review update was limited to the English language.

Google’s Mueller Thinking About Product Reviews Update

Screenshot of Google's John Mueller trying to recall if December Product Review Update affects more than the English language

Screenshot of Google's John Mueller trying to recall if December Product Review Update affects more than the English language

Product Review Update Targets More Languages?

The person asking the question was rightly under the impression that the product review update only affected English language search results.

Advertisement

Continue Reading Below

But he asserted that he was seeing search volatility in the German language that appears to be related to Google’s December 2021 Product Review Update.

This is his question:

“I was seeing some movements in German search as well.

So I was wondering if there could also be an effect on websites in other languages by this product reviews update… because we had lots of movement and volatility in the last weeks.

…My question is, is it possible that the product reviews update affects other sites as well?”

John Mueller answered:

“I don’t know… like other languages?

My assumption was this was global and and across all languages.

But I don’t know what we announced in the blog post specifically.

But usually we try to push the engineering team to make a decision on that so that we can document it properly in the blog post.

I don’t know if that happened with the product reviews update. I don’t recall the complete blog post.

But it’s… from my point of view it seems like something that we could be doing in multiple languages and wouldn’t be tied to English.

And even if it were English initially, it feels like something that is relevant across the board, and we should try to find ways to roll that out to other languages over time as well.

So I’m not particularly surprised that you see changes in Germany.

But I also don’t know what we actually announced with regards to the locations and languages that are involved.”

Does Product Reviews Update Affect More Languages?

While the tweeted announcement specified that the product reviews update was limited to the English language the official blog post did not mention any such limitations.

Google’s John Mueller offered his opinion that the product reviews update is something that Google could do in multiple languages.

One must wonder if the tweet was meant to communicate that the update was rolling out first in English and subsequently to other languages.

It’s unclear if the product reviews update was rolled out globally to more languages. Hopefully Google will clarify this soon.

Citations

Google Blog Post About Product Reviews Update

Product reviews update and your site

Google’s New Product Reviews Guidelines

Write high quality product reviews

John Mueller Discusses If Product Reviews Update Is Global

Watch Mueller answer the question at the 14:00 Minute Mark

[embedded content]

Searchenginejournal.com

Continue Reading

NEWS

Survey says: Amazon, Google more trusted with your personal data than Apple is

Published

on

survey-says:-amazon,-google-more-trusted-with-your-personal-data-than-apple-is-–-phonearena
 

MacRumors reveals that more people feel better with their personal data in the hands of Amazon and Google than Apple’s. Companies that the public really doesn’t trust when it comes to their personal data include Facebook, TikTok, and Instagram.

The survey asked over 1,000 internet users in the U.S. how much they trusted certain companies such as Facebook, TikTok, Instagram, WhatsApp, YouTube, Google, Microsoft, Apple, and Amazon to handle their user data and browsing activity responsibly.

Amazon and Google are considered by survey respondents to be more trustworthy than Apple

Those surveyed were asked whether they trusted these firms with their personal data “a great deal,” “a good amount,” “not much,” or “not at all.” Respondents could also answer that they had no opinion about a particular company. 18% of those polled said that they trust Apple “a great deal” which topped the 14% received by Google and Amazon.

However, 39% said that they trust Amazon  by “a good amount” with Google picking up 34% of the votes in that same category. Only 26% of those answering said that they trust Apple by “a good amount.” The first two responses, “a great deal” and “a good amount,” are considered positive replies for a company. “Not much” and “not at all” are considered negative responses.

By adding up the scores in the positive categories,

Apple tallied a score of 44% (18% said it trusted Apple with its personal data “a great deal” while 26% said it trusted Apple “a good amount”). But that placed the tech giant third after Amazon’s 53% and Google’s 48%. After Apple, Microsoft finished fourth with 43%, YouTube (which is owned by Google) was fifth with 35%, and Facebook was sixth at 20%.

Rounding out the remainder of the nine firms in the survey, Instagram placed seventh with a positive score of 19%, WhatsApp was eighth with a score of 15%, and TikTok was last at 12%.

Looking at the scoring for the two negative responses (“not much,” or “not at all”), Facebook had a combined negative score of 72% making it the least trusted company in the survey. TikTok was next at 63% with Instagram following at 60%. WhatsApp and YouTube were both in the middle of the pact at 53% followed next by Google and Microsoft at 47% and 42% respectively. Apple and Amazon each had the lowest combined negative scores at 40% each.

74% of those surveyed called targeted online ads invasive

The survey also found that a whopping 82% of respondents found targeted online ads annoying and 74% called them invasive. Just 27% found such ads helpful. This response doesn’t exactly track the 62% of iOS users who have used Apple’s App Tracking Transparency feature to opt-out of being tracked while browsing websites and using apps. The tracking allows third-party firms to send users targeted ads online which is something that they cannot do to users who have opted out.

The 38% of iOS users who decided not to opt out of being tracked might have done so because they find it convenient to receive targeted ads about a certain product that they looked up online. But is ATT actually doing anything?

Marketing strategy consultant Eric Seufert said last summer, “Anyone opting out of tracking right now is basically having the same level of data collected as they were before. Apple hasn’t actually deterred the behavior that they have called out as being so reprehensible, so they are kind of complicit in it happening.”

The Financial Times says that iPhone users are being lumped together by certain behaviors instead of unique ID numbers in order to send targeted ads. Facebook chief operating officer Sheryl Sandberg says that the company is working to rebuild its ad infrastructure “using more aggregate or anonymized data.”

Aggregated data is a collection of individual data that is used to create high-level data. Anonymized data is data that removes any information that can be used to identify the people in a group.

When consumers were asked how often do they think that their phones or other tech devices are listening in to them in ways that they didn’t agree to, 72% answered “very often” or “somewhat often.” 28% responded by saying “rarely” or “never.”

Continue Reading

Trending

en_USEnglish