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Artificial Intelligence is marketing’s new frontier, here’s your crash course

(TECHNOLOGY) Marketing is rapidly evolving, and the knowledge required to dominate in the future is changing just as quickly. Time to get up to speed!

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Back in the day, the idea of interacting with robots and computers seemed out of an episode of The Jetsons. But fast-forward to 2018, and some of the most far-fetched ideas back then have become our reality, and you know what? It’s awesome.

In Back to The Future II, they used tablets to get Marty to sign up to save the Clock Tower, and then this massive shark pops out of a sign, which freaked 1984 Marty out. The only thing is – do you remember how pixelated the shark was? Magic Leap is augmenting reality to look like a whale can literally crash into a gymnasium, without so much as a drop of water.

Our cars have precise navigation systems (still can’t fly, though), radio stations from around the world stream into our stereos, our phones can control every aspect of our lives down to how much sleep we get a night. And while it was once thought to be nothing more than fantasy from the pages of a Spielberg script, Artificial Intelligence (AI) has embedded itself into our daily lives, too.

For marketers, there’s much to love about AI: it’s redefining the industry because we can move the chess pieces in ways that previously, we’ve only imagined. AI will change how people interact with data, but also impact how consumers get information much like television commercials and traditional advertising in the analog heyday.

If you’re unaware of what Artificial Intelligence is, it’s the study of making machines super intelligent, and giving them the capability to problem solve. Machine learning creates constantly evolving systems that teach computers to learn organically. Google Photo is a prime example of how machine learning works: photos are fed into Google’s AI and eventually after seeing so many photos of a face, it will eventually recognize the person in the picture.

Artificial Intelligence is marketing’s new frontier

Think about Netflix, how it knows what shows we want to watch, or when a site can predict a new pair of shoes that are exactly your style – that’s AI at work. All of the world’s premier brands are investing in AI. One of the strongest reasons why, is simple – targeted suggestions.

Because of AI’s data collecting capabilities, marketers can collect and analyze swaths of data to enable predictive strategies at every stage of the funnel. We can find ways to move the needle in terms of what a customer wants, and provide different strategies to ensure they’re empowered to make a choice they may have not known about.

All of tech’s biggest players are investing heavily into AI right now. Amazon, Google, Microsoft, and Atlassian are all competing against one another, and then against the biggest companies in China, Japan, and Europe – all for the world’s top talent to understand how we make machines do more for us.

But, don’t forget, Target, Walmart, and Zappos are all investing in AI, too.

Everyone is.

Google’s CEO Sundar Pichai said in January that AI was “one of the most important things that humanity is working on” and also went on to double down its importance, stating, that it was “more profound than electricity or fire.”

ROI is everything

When you talk to a marketer, the term ROI (Return On Investment) comes up A LOT.

Running campaigns is somewhat of a science, but with the right data, you can take the ‘somewhat’ out of the equation.

By relying on AI, taking the guesswork on what will hit regarding a campaign becomes clearer, thanks to having a defined understanding of Customer Relationship Management (CRM), social data, and analytics. Machine Learning makes it easier for marketers to identify trends.

By combining AI and marketing fundamentals, teams can create multi-layered strategies that offer customized messages to the user.

According to Adobe, “Forty-seven percent of digitally mature organizations, or those that have advanced digital practices, said they have a defined AI strategy.”

Search like never before

Think about what we used to consider as “search” – yes, we still type a word or phrase into Google and see what pops up, but that’s changing. Search engines are smarter, thanks to AI-infused digital marketing.

AI tracks searches, remembers what you were looking for, what you’ve recently ordered, what sites you’ve visited in the past few months, and then compile all of that data into one powerhouse when it comes time to buy that next fridge or find a new pair of boots.

Because of the continual development, Google’s ability to predict keywords is getting crazy. Latent Semantic Indexing (LSI) generates keywords semantically related to a main keyword, which offers a fine tuned search result.

Alexa and Siri might considered “home assistants,” but both can order toilet paper for you or tell you when you need to change the air filter in the house. We use them for everything from asking the simplest way to make an alfredo sauce, to asking what the weather looks like.

While some detractors aren’t too keen on the idea of a robot listening to our personal conversations, the facts are simple – more and more houses will integrate AI into their construction and remodels thanks to their demand and proven ease of use.

But, for marketers, these machines are active ways to search something without touching a keyboard, and an effective way to market an idea, if the user is open to new products when it comes time to tell Alexa to buy a certain brand of dish soap, and another is on sale.

User experience drives everything

If you’re looking for support for a product, most sites have a chatbot ready to answer questions. Instead of a human having to find a query and search endlessly through knowledge bases for an answer, a chatbot can recognize patterns in questions and hone in on a few keywords to make a suggestion that’s based on data versus a human’s best guess.

Chatbots are based on the AI principle of storing information and self-learning.

Tools like Wit.ai, IBM Watson, and Api.ai, incorporate language processing and learning faculties.

But, aside from customer support or online ordering, we can also tailor websites and the buyer journey to what a user’s needs are. Because of the collected data, website personality can hone in on a specific product type or suggest things based on a past history of browsing.

This is an opportunity for a marketer to run specific campaigns based on someone who’s looking for old-school Adidas and see if they’d be interested in a new streetwear magazine that’s launching this fall. The partnership opportunities are endless thanks to a fluid AI-based UX experience.

Social media giants Facebook are all in when it comes to investing in artificial intelligence, too. Yann LeCun, Facebook’s chief AI scientist, and an early machine-learning architect, told the Washington Post that boss, Mark Zuckerberg told him to press down on the gas pedal and make Facebook more AI-inclusive.

“AI has become so central to the operations of companies like ours, that what our leadership has been telling us is: ‘Go faster. You’re not going fast enough,’” LeCun said.

What else will AI drive in marketing?

For marketers, AI is a massive win, we can track, improve upon, and watch AI evolve. According to TowardDataScience, marketing’s next significant trend is consumer personalization (29 percent), and then AI (26 percent) – data via BrightEdge.

We’ll soon be able to offer deeply personalized website experiences, change how we use PPCs (Pay Per Clicks), and we’ll start seeing data collection for traffic, and budget in ways we never thought considered.

Because of how we concentrate PPCs, AI will help target ads with thousands of variations on ad copy or swap out a photo for greater impact, based on user data.

Writers will create boilerplate copy and then updated snippets that will automatically move in and out or rearrange, depending on the user.

We’ll also have a clearer idea of when to run specific ads for a high click through based on emotional data and reactionary times, which will calibrate the fight against lowest priced clicks for lead conversion.

MemSQL surveyed 1,600 marketing professionals, and 61 percent, regardless of company size, named machine learning and AI as their most significant investment for next fiscal year. These numbers will only increase as in-house teams and agencies alike will adopt AI as a new tool to get the customer excited and clicking.

Artificial Intelligence is like the wild west in marketing – there’s so much to explore, and to experiment with. We could see gains like never before because we’re dedicating the experience to the customers’ wants and needs, which is a new tactic. We’ve always tried, but armed with this level of data, we can now be precise in regards to the the buyer’s journey.

The future is bright for AI and marketing. We’re standing at the forefront of a technology that will change the world. Talking houses are a slice of the next wave, and it’s exciting. Personally, I’m waiting for a robot best friend or a Delorean – I’ll take either.

Robert Dean is a writer at ScaleFactor, Umuse, and The American Genius. He is a writer, journalist, and cynic. His most recent novel, The Red Seven is in stores. Currently, he’s working on his newest novel, Tragedy Wish Me Luck. He also likes ice cream and panda bears. He currently lives in Austin. Stalk him on Twitter.

Tech News

Facebook policy sets themselves up for yet another failure

(TECH) Facebook’s role in news consumption increases, and their new policy regarding news is raising eyebrows.

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Facebook did not get a lot of likes a when it was facing scrutiny for taking money for Russian ads, and their subsequent role in the 2016 Presidential election. In response to that, Facebook announced its Ad Archive – a public political archive to allow users more transparency in who purchased those ads like you can on television. Additionally, they changed their political ads policy.

Of course, the goal of this is to promote transparency and give the public an opportunity to scrutinize advertisers and have more control about what they do with that information. Facebook and the world at large acknowledges that still isn’t a perfect solution, and there are many problems left to work out, including how perpetrators can get around the new rules by simply setting up an LLC.

Now, Facebook says they will include news pages in their Ad Archives. While this decision was originally opposed by many news publishers, and Facebook compromised by putting them in a separate category, it has officially become part of Facebook policy.

To be a news page, there are several criteria pages and promoters must follow, including focusing on current events and news, spreading factual and true information, and publishing content that is not user generated or aggregated from other areas of the web. Also, the amount of advertising content can not exceed the amount of content related to news.

Facebook’s decision to include news publishers involved some input from The Trust Project was a decent step, but it’s almost certain that many publishers are raising their eyebrows at the decision to include them in the archive, with the indication that news organizations are as suspect as corrupt Russian players. It is particularly grating in an environment where Twitter has opted not to lump news and Russian actors together.

Certainly, how publishers spend their dollars and make platform decisions will be impacted, especially as this continues. Given the broad domains of ad archive – elections, elected officials, and issues of national importance – we are likely to see how things play out over the next few months.

The biggest concern of course, is how this sets Facebook up for another failure in regards to how it handles news, and how this will impact the people receiving that news. And hopefully, we find out before the stakes are too high.

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Quickly delete years of your stupid Facebook updates

(SOCIAL MEDIA) Digital clutter sucks. Save time and energy with this new Chrome extension for Facebook.

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When searching for a new job, it’s always a good idea to scan your social media presence to make sure you’re not setting yourself up for failure with offensive or immature posts.

In fact, you should regularly check your digital life even if you’re not on the job hunt. You never know when friends, family, or others are going to rabbit hole into reading everything you’ve ever posted.

Facebook is an especially dangerous place for this since the social media giant has been around for over fourteen years. Many accounts are old enough to be in middle school now.

If you’ve ever taken a deep dive into your own account, you may have found some unsavory posts you couldn’t delete quickly enough.

We all have at least one cringe-worthy post or picture buried in years of digital clutter. Maybe you were smart from the get-go and used privacy settings. Or maybe you periodically delete posts when Memories resurfaces that drunk college photo you swore wasn’t on the internet anymore.

But digging through years of posts is time consuming, and for those of us with accounts older than a decade, nearly impossible.

Fortunately, a new Chrome extension can take care of this monotonous task for you. Social Book Post Manager helps clean up your Facebook by bulk deleting posts at your discretion.

Instead of individually removing posts and getting sucked into the ensuing nostalgia, this extension deletes posts in batches with the click of a button.

Select a specific time range or search criteria and the tool pulls up all relevant posts. From here, you decide what to delete or make private.

Let’s say you want to destroy all evidence of your political beliefs as a youngster. Simply put in the relevant keyword, like a candidate or party’s name, and the tool pulls up all posts matching that criteria. You can pick and choose, or select all for a total purge.

You can also salt the earth and delete everything pre-whatever date you choose. I could tell Social Book to remove everything before 2014 and effectively remove any proof that I attended college.

Keep in mind, this tool only deletes posts and photos from Facebook itself. If you have any savvy enemies who saved screenshots or you cross-posted, you’re out of luck.

The extension is free to use, and new updates support unliking posts and hiding timeline items. Go to town pretending you got hired on by the Ministry of Truth to delete objectionable history for the greater good of your social media presence.

PS: If you feel like going full scorched Earth, delete everything from your Facebook past and then switch to this browser to make it harder for Facebook to track you while you’re on the web.

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Why are all apps starting to look exactly the same?

(TECHNOLOGY) As apps evolve, they are beginning to look uniform – is this a good or bad thing?

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Have you noticed that all apps are beginning to look a lot alike? Many popular social media apps are utilizing minimalist designs, featuring lots of black and white with negative space and little color.

At a glance, you may not be able to differentiate what’s Airbnb and what’s Instagram. Normally, something like this could be argued to be unoriginal and boring. However, let’s look at the positives.

If every app – for the most part – is operating with the same design, they’re not trying to constantly one-up each other with the next big look. As a result, they have more time to focus on what’s important – the content found on the app and the functions of the app.

While many apps offer similar features (like Snapchat, Facebook, and Instagram both having Stories), every social media app has its own flair that keeps users coming back. And, user retention is higher if they feel comfortable using the app – which is another plus of them all having similar designs.

If you have 12 different social media apps with 12 different interfaces and means of operation, it’s unlikely that a user will keep up with all 12. But, if they know exactly how to use them, the user can flip back and forth like it’s nothing.

However, “app fatigue is a real thing,” said Yaz of UX Collective. “Most people have grown tired of bouncing between too many apps or learning how to use a new interface after every new download.”

Below is Yaz’s exploration of the uniformity in apps:

Research has found that a quarter of all apps are deleted after just one use. People tend to stick with the apps that they have found made a positive impact in their lives – either for communication with others or apps that save them time.

Uniformity means developers can spend more of their time on creating the content that will aid in better communication and more time saving options.

Again, what it comes down to is the content and function. That’s where the true creativity comes in. People aren’t using Airbnb because the app or the website are ridiculously exciting; they’re using it because it offers a service that is beneficial.

What are your thoughts on app uniformity? Unoriginal, or a stepping stone for what’s really important?

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