Big data is here and unavoidable
For years, we’ve written about big data and showcased the progression of business intelligence available now to brands of every size, in fact, most businesses have a feel for this type of data – open a spreadsheet of your sales data and you already know it’s just a bunch of numbers unless they are analyzed and filtered. Today, I want to review what big data is, how it is currently being used, what this means for the future, and most importantly, how it can be cherry picked and why it can upset entire industries.
[ba-pullquote align=”right”]”Big data” is typically consisting of at least dozens of terabytes in a single data set.[/ba-pullquote]“Big data” is defined as large data sets which cannot be managed with simple, common software that captures and processes the data, and is typically consisting of at least dozens of terabytes in a single data set. The challenges of big data are really big. It is described by Gartner analyst, Doug Laney as being three-dimensional, i.e. increasing volume (amount of data), velocity (speed of data in/out), and variety (range of data types, sources).
Let’s talk about how BIG this really is
Let me illustrate. The University of Nebraska physics department has 1.6 petabytes of data – that’s 1.6 million gigabytes in one department at one school. Boeing jet engines can produce 10 terabytes of operational information for every 30 minutes they turn. As of 2012, the average smartphone user has 736 pieces of personal data collected every day, stored for one to five years by service providers.
[ba-pullquote align=”right”]By 2020, there will be 5,200 gigabytes of data for every human on Earth.[/ba-pullquote]IBM’s chief executive, Virginia Rometty said, “By one estimate there will be 5,200 gigabytes of data for every human on the planet by 2020. And powerful new computing systems can store and make sense of it nearly instantaneously.” It has also been predicted that in the coming years, over 200,000 big data specialists will be required to make sense of the barrage of data being collected.
Big data is already being used today in a big way
Big data is a big deal and it’s not just because there’s a lot of it. In fact, today alone, SumAll raised $4 million and DataSift raised a whopping $42 million to help businesses make sense of their data as it relates to social media.
[ba-pullquote align=”right”]Retailers are analyzing your facial expressions on camera to tell if you’re a happy shopper, and tracking your gender, age, and size as you walk in the door.[/ba-pullquote]Big data is already used in amazing ways by the retail industry by analyzing shopper height and size as they walk in the door to determine age, gender, and more, and even have cameras analyzing facial expressions while you’re shopping to gauge your experience. If that doesn’t impress you, there’s already a seasoned company that is tracking “visual mentions” online so if you share a picture of your Starbucks cup on Instagram, even if you don’t say Starbucks or use GPS, Starbucks can see that their logo, even if curved, was used online on a social network.
Predicting the future with big data
But it’s not just that data is having a tremendous impact on life today, it is still a young sector with many startups yet to pop up to solve the data conundrums. SiftScience fights fraud using machine-learning that learns from data to recognize patterns of fraudulent behavior based on past examples, and Hadoop helps companies analyze massive amounts of generating about user behavior and their own operations while Recorded Future uses algorithms that unlock predictive signals based on web chatter to determine a brand anticipate risks and capitalize opportunities.
[ba-pullquote align=”right”]Intel is working on technology using big data to allow you to see three cars ahead, behind, and beside you.[/ba-pullquote]There are already projects in the works that allows forecasters to predict weather up to 42 days in advance, potentially saving lives and billions of dollars a year.Intel is working on a big data project that allows cars to communicate so drivers will be able to see three cars in front of, behind, and to the left and right – simultaneously. Ford is developing vehicle-to-vehicle and vehicle-to-infrastructure systems to warn drivers of potentially hazardous traffic events, like cars going through red lights.
But big data has some really big problems
First, and least upsetting, is that there are big problems with demographics, leaving brands with a lot of data that doesn’t yet mean much. Why? Incomplete self reporting is a huge issue because brands are still focused on using social networking profile data to gather intelligence on their site users, fans, and the like, but when they rely on this data, people may not be completely truthful (they may say they are 32, but they’re 12, and so forth). Additionally, privacy does protect users to a certain extent, blocking intelligence gathering by brands. Lastly, data is still largely inconsistent and unconnected – you may have a Twitter account and Facebook account, but a third party doesn’t know that unless (a) you use the same username consistently or (b) you grant access to both accounts through that third party.
While other problems exist (like how will we ever store all of this data, disseminate it, and make sense of it, and does it all really matter?), the biggest one we see is the potential for cherry picking, because when you look at a data set, it still takes a human to actually determine what is important to garner from that data set.
[ba-pullquote align=”right”]Big data may mean more information, but it also means more false information.[/ba-pullquote]Industry expert Nassim Taleb opined in February, “With big data, researchers have brought cherry-picking to an industrial level. Modernity provides too many variables, but too little data per variable. So the spurious relationships grow much, much faster than real information. In other words: Big data may mean more information, but it also means more false information.”
Taleb addresses something that could lead one to think that big data is faulty and bad, but perhaps Taleb is really pointing out the human nature that is still required in some instances of analyzing big data – and most people would not typically question a researcher or their methods, leaving analysis in its youngest phase subjective.
Chris Treadaway, CEO and Founder of Polygraph Media which is famous for data-driven analytics said, “To analyze big data, you have to know when you have enough data, know that you’re looking at the right data, and know how and when to draw conclusions from the data using methods developed from statistics theory and data science. That’s the great irony of “big data” – it’s as much of an art as a science, which is why the best efforts are multidisciplinary.”
“Big data can find tremendous hidden relationships,” Treadaway continued, “but you have to make sure your bias isn’t to find conclusions that don’t exist. Bias can cause the situation Taleb describes, and will cause disinformation as he says. If you’re cautious, discerning, and careful, you can make the most of big data. But there are pitfalls for the careless.”
And the coup de gras
[ba-pullquote align=”right”]Your performance data, finances, company info and more are already being repackaged for public consumption and monetization.[/ba-pullquote]The coup de gras is that professionals are being threatened by new ways big data is being used, but they are not recognizing it as a big data issue.
Several industries are seeing data about them individually, their performance, their company, their finances, all analyzed and repackaged for public consumption or monetization.
Imagine a site launches tomorrow based on publicly available data and you’re a social media consultant. Let’s say that this new site looks at who has recommended you on LinkedIn, Yelp, Angie’s List and so on, and has determined that the people recommending you are clients of yours, based on the assumption that it is the only reason they’d recommend you or review you. The new site also analyzes words and pictures used in your online bios to determine characteristics about you.
Then, they take those reviews and characteristics and quantify you into a score, giving you more points if someone from Coca Cola reviewed you than if the local dentist reviewed you, implying that you’re a higher quality consultant if you’ve worked with a major brand like Coca Cola than if you worked with a local dentist (God forbid you specialize in social media for independent medical professionals).
Then, Google gets interested in this new site and they invest, and later, they want to use that data to populate your Google+ profile, so now you, the social media consultant, has a score next to their face to determine how good you are at your job.
What’s wrong with that?
[ba-pullquote align=”right”]You must understand that data requires a human to determine what is relevant, which doesn’t always allow for the full context of the data points.[/ba-pullquote]Data is subjective, even when raw – it takes humans to determine what data points in the sea of data are relevant, and it doesn’t always take into account the context surrounding that data. You, the social media consultant, could have taken a two year sabbatical to execute social media strategies pro bono for three tiny charities, four local restaurants, two African orphanages, and a spa, earning a reputation for your high quality of work and compassion that can’t possibly quantified by a computer.
This scenario is fake. For now. But with every human generating billions of data points every year, evaluations are just the first of many steps in what is to come with big data – the data is now generated, and it is a race to see what can be displayed about you and your business so that companies can sell to you or repackage your data and sell it to someone else. Even your brand will be using big data to gain insights into your customers so you can better serve them.
[ba-pullquote align=”right”]The race is on to see what can be displayed online about you and your business, which is being repackaged and resold.[/ba-pullquote]There are pros and cons to big data, but the reality is that it is unavoidable, even if you ignore it or misunderstand it. Consumers need to begin to recognize when they see big data, and understand that it may not be the true context of that data, as it is ripe with humans’ decisions regarding what is important about a data set. This is just the beginning.
Google is giving back some privacy control? (You read that right)
(TECH NEWS) In a bizarre twist, Google is giving you the option to opt out of data collection – for real this time.
It’s strange to hear “Google” and “privacy” in the same sentence without “concerns” following along, yet here we are. In a twist that’s definitely not related to various controversies involving the tech company, Google is giving back some control over data sharing—even if it isn’t much.
Starting soon, you will be able to opt out of Google’s data-reliant “smart” features (Smart Compose and Smart Reply) across the G-Suite of pertinent products: Gmail, Chat, and Meet. Opting out would, in this case, prevent Google from using your data to formulate responses based on your previous activity; it would also turn off the “smart” features.
One might observe that users have had the option to turn off “smart” features before, but doing so didn’t disable Google’s data collection—just the features themselves. For Google to include the option to opt out of data collection completely is relatively unprecedented—and perhaps exactly what people have been clamoring for on the heels of recent lawsuits against the tech giant.
In addition to being able to close off “smart” features, Google will also allow you to opt out of data collection for things like the Google Assistant, Google Maps, and other Google-related services that lean into your Gmail Inbox, Meet, and Chat activity. Since Google knowing what your favorite restaurant is or when to recommend tickets to you can be unnerving, this is a welcome change of pace.
Keep in mind that opting out of data collection for “smart” features will automatically disable other “smart” options from Google, including those Assistant reminders and customized Maps. At the time of this writing, Google has made it clear that you can’t opt out of one and keep the other—while you can go back and toggle on data collection again, you won’t be able to use these features without Google analyzing your Meet, Chat, and Gmail contents and behavior.
It will be interesting to see what the short-term ramifications of this decision are. If Google stops collecting data for a small period of time at your request and then you turn back on the “smart” features that use said data, will the predictive text and suggestions suffer? Only time will tell. For now, keep an eye out for this updated privacy option—it should be rolling out in the next few weeks.
Looking to refresh your virtual rooms? Check out Zoom’s Immersive View
(TECH NEWS) Zoom’s new Immersive View feature will help you feel like you’re back in the workplace or classroom again – or wherever you want to be.
If you’re tired of feeling separated from your coworkers, friends, or classmates, Zoom has a new feature that will make you feel like you’re all in the same place once again. At Zoomtopia, Zoom’s annual user conference, the company announced its Immersive View feature that they say will allow for a “more engaging and collaborative way to meet”.
With Immersive View, video participants can all be arranged in a single virtual space. Hosts can choose from one of Zoom’s immersive virtual scenes and embed video participants within that scene.
To make sure your scene is as natural as possible, hosts can move around and resize a participant’s image so they can look like they are sitting on a chair in a classroom or conference room. For added fun, you can even set a custom background. So, if you’d rather be part of the Galactic Senate Chamber, you can create your own scene.
Up to 25 video participants can be in the same virtual space. Any additional people after that will show up as a thumbnail strip on the top of the screen. And, at any time, you can change the view back to Speaker View or Gallery View if you want to.
How to get started with Zoom’s Immersive View
Immersive View is available on Windows and macOS for desktop. By default, all Free and single Pro accounts using Zoom 5.6.3 or higher will have the feature enabled.
To use the feature, first start your Zoom meeting or webinar on your desktop. In the top-right corner, click “View” and select “Immersive View”.
To place participants into the scene, choose between automatically and manually. By choosing automatic, as many participants as the layout will allow will be added to the scene. If you choose manual, you can add and remove participants as you’d like. Since Immersive View will use the first 25 participants, manual works well for larger meetings. If participant No. 26 needs to speak up, you can remove someone and add No. 26 in.
After you’ve made your choice, select one of the provided virtual backgrounds or upload your own image. If you choose to use your own custom background, make sure to follow Zoom’s virtual background specs for the best results.
Finally, click “Start” to launch your scene, and, now, you’re all set!
Those that aren’t using Zoom 5.6.3 or higher will not be able to see the Immersive View. Instead, they will see either the Gallery View or Speaker View with a black background.
Currently, Immersive View isn’t available in breakout rooms yet. Also, recordings of Immersive Views aren’t supported. Depending on your recording settings, recordings will appear in Gallery View or Speaker View.
Considering all the video call fatigue going on right about now, the timing of Zoom’s Immersive View feature couldn’t come at a better time. It will be refreshing to see a video call without just heads inside boxes.
Create a pandemic-friendly sign-in with this touchless technology
(TECH NEWS) In an era where touchless communication is paramount, Wellcome brings touchless employee and visitor sign-in technology to the workplace.
Touchless technology is becoming more and more common these days and for good reasons — health and safety. Due to the COVID pandemic, social distancing is crucial in helping decrease the amount of positive coronavirus cases.
Unfortunately, some work environments require in-person employees, contractors, and visitors. And now, some businesses are even starting to bring more of their workforce back into the office. While we can hopefully assume they all have some safety protocols in place, the front desk interactions haven’t changed much. This makes it difficult to manage and see who’s in and out.
But to fill in that gap, meet Wellcome. Wellcome is a touchless sign-in platform for employees and visitors. According to their website, the app “helps you manage the workplace effectively, making it safe and easy for everyone” who’s in the office.
And the platform does this by implementing the following features in its tool.
Employee Touchless Check-in
By uploading a list of employees to the Admin, employees automatically receive an email with a one-click “Wellcome Pass”. This pass can be added to their Apple or Android digital wallet.
Once at work, employees scan their pass on an iPad at the reception desk. Then, they will see a customizable confirmation screen with the company’s health and safety guidelines messaging. This reminder can help ensure everyone is following the rules and staying safe.
Visitor Touchless Check-in
For visitors without a Wellcome Pass, they can still scan the QR code on the iPad using their device. The QR code will direct them to a customized check-in form where they can select their host and fill out a health questionnaire on their mobile device.
COVID-Safe Visitor Screening
Based on how a visitor answers the health screening questionnaire, it will grant or deny them access to the office. This health COVID screening will help HR managers “protect the office by restricting access to visitors that might be infected.”
Via email, Slack, and/or SMS, Wellcome will immediately notify the host when they have a visitor and send them the visitor’s contact details. It will also let them know if their visitor was granted or denied access based on the health screening. If a visitor is denied access, the host is instructed to not meet the visitor, but contact them another way.
If there is a potential or confirmed COVID-19 case at work, Wellcome makes it easy to identify and notify anyone who may be at risk. To do this, the HR manager just needs to search by a person’s name and date range in the Admin. Search results will pull up anyone that could have come in contact with the infected person.
The Admin will also notify all employees and visitors that need to self-isolate and get tested. If needed, Wellcome also lets you download and submit a tracing report.
Manage Office Capacity
Wellcome tracks workplace capacity and occupancy data to help maintain social distancing. If occupancy reaches the capacity limit, the Admin will be notified to “take steps to reduce occupancy in order to stay within the required limits.”
In the Admin Dashboard, reports are available to view the status of current capacity. It can also predict what the occupancy will be each day so companies can plan ahead.
Employees have the option to pre-book when they want to come into the office. The app displays how many slots are available for each day, and it can send out a calendar reminder. Through the Admin, HR managers can see who will be coming into the office. This is Wellcome’s other way of making sure capacity limits are always within range.
Also, setting up Wellcome is pretty simple. All you need is an iPad. You install the app on it and leave it at the reception desk for employees and visitors to check-in.
For companies who have employees and visitors in and out of the office. Wellcome does sound appealing, and it looks like they will benefit a great deal from the platform. And, if you’d like to check it out, Wellcome lets you use the app free for 14 days. Afterwards, you can select a plan that works best for you.
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