Back in the day, the idea of interacting with robots and computers seemed out of an episode of The Jetsons. But fast-forward to today, 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.
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.
Tired of Zoom? NVIDIA announces AI-powered contender
(TECH NEWS) NVIDIA’s AI-based video technology offers helpful features like face alignment, gaze correction, and noise cancellation to optimize video calls.
For the most part, Zoom has dominated video conferencing, but it might soon face competition thanks to NVIDIA. Recently, NVIDIA announced its new GPU-Accelerated AI Platform, NVIDIA Maxine, that it says will “vastly improve streaming quality” and offer incredible AI-powered features.
NVIDIA Maxine is a cloud-native video-streaming AI platform so data doesn’t need to be processed on local servers. Instead, NVIDIA’s servers process the information so users can use the cool AI features without having to purchase any new specialized hardware.
“NVIDIA Maxine integrates our most advanced video, audio, and conversational AI capabilities to bring breakthrough efficiency and new capabilities to the platforms that are keeping us all connected,” said Ian Buck, vice president and general manager of Accelerated Computing at NVIDIA, in a press release.
Maxine’s “breakthrough efficiency” can be seen in its AI-based video compression technology. The AI tech reduces the bandwidth used on a call to one-tenth of the H.264 video compression standard without compromising video quality. In doing so, less data is transmitted back and forth so slow internet connection and limited bandwidth won’t be a problem anymore. Hopefully, this helps bring an end to the dreaded “you have a poor connection, blah, blah, blah” message.
Some of the features that make NVIDIA Maxine standout are face alignment and gaze correction. These two features allow for a better face-to-face conversation. For instance, people will no longer appear to be staring off into outer space. With face alignment, the software will automatically adjust people so it looks like they are facing each other. And, with gaze correction, it will help simulate eye contact. According to NVIDIA, “These features help people stay engaged in the conversation rather than looking at their camera.”
Also, if developers choose to do so, they can allow users to choose an animated avatar. These avatars offer a realistic feel because they are driven by a person’s “voice and emotional tone in real-time.” Plus, the auto frame feature automatically follows the person in the frame so they are always in view. This is great when you’re doing a presentation or demo.
The feature that stands out to me is the noise cancellation filter that removes background noise. Anyone with a toddler or dog will be a big fan of that one! Continually pressing the mute and unmute button could finally become a thing of the past.
Maxine also has a “conversational AI”. With NVIDIA Jarvis (not to be confused with Iron Man’s Just A Rather Very Intelligent System), developers can integrate virtual assistants to take notes, set action items, and answer questions in human-like voices. Additionally, this AI offers translations and closed captions all in real-time.
By taking a look at what NVIDIA Maxine has to offer, there is no denying Zoom has a lot of work to do if it wants to stay on top. Although it did dabble with real-time captioning back in June, Zoom’s offering was very limited. And, Maxine is on its way up.
Early access to the NVIDIA Maxine platform is available to Computer vision AI developers, software partners, startups, and computer manufacturers creating audio and video apps and services.
How psychologists are using VR to profile your personality
(TECH NEWS) VR isn’t just for gamers. Psychologists are using it to research how people emotionally respond to threats. But does it come at the cost of privacy?
When you put on a VR headset for the first time, most people have that ‘whoa’ moment. You’ve entered an enchanting otherworldly place that seems real, but you know it isn’t. You slowly tilt your head up to see a nicely lit blue sky. You turn your head around to see mountains and trees that weren’t there before. And, you finally look down to stare at your hands. Replaced by bright-colored gloves, you flex your hands to form a fist, then jazz hands, and back.
Playing VR games is exciting and interesting for a lot of gamers, and you would (or maybe wouldn’t) be surprised to know that psychologists think so, too. According to The Conversation, psychologists have started researching how people emotionally respond to potential threats using VR.
Do you think this is weird or cool? I’ll let the following help you decide.
In earlier studies, psychologists tested “human approach-avoidance behavior”. By mixing real and virtual world elements, they “observed participants’ anxiety on a behavioral, physiological, and subjective level.” Through their research, they found that anxiety could be measured, and “VR provokes strong feelings of fear and anxiety”.
For the study, 34 participants were recruited to assess how people have a “tendency to respond strongly to negative stimuli.” Using a room-scaled virtual environment, participants were asked to walk across a grid of translucent ice blocks suspended 200 meters above the ground. Participants wore head-mounted VR displays and used handheld controllers.
Also, sensors placed on the participants’ feet would allow them to interact with the ice blocks in 2 ways. By using one foot, they could test the block and decide if they wanted to step on it. This tested risk assessment. By using both feet, the participants would commit to standing on that block. This tested the risk decision.
The study used 3 types of ice blocks. Solid blocks could support the participant’s weight and would not change in appearance. Crack blocks could also support the participant’s weight, but interacting with it would change its color. Lastly, Fall blocks would behave like Crack blocks, but would shatter completely when stepped on with 2 feet. And, it would lead to a “virtual fall”.
After looking at the data, researchers found out that by increasing how likely an ice block would disintegrate, the “threat” for the participant also increased. And, of course, participants’ behavior was more calculated as more cracks appeared along the way. As a result, participants opted to test more blocks before stepping on the next block completely.
They found that data about a person’s personality trait could also be determined. Before the study, each participant completed a personality questionnaire. Based on the questionnaire and the participants’ behavior displayed in the study researchers were able to profile personality.
During the study, their main focus was neuroticism. And, neuroticism is one of the five major personality traits used to profile people. In other words, someone’s personality could now also be profiled in a virtual world.
So, it all comes down to data and privacy. And yes, this isn’t anything new. Data collection through VR has been a concern for a long while. Starting this month, Facebook is requiring all new Oculus VR owners to link their Facebook account to the hardware. Existing users will be grandfathered in until 2023.
All in all, VR in the medical field isn’t new, and it has come a long way. The question is whether the risk of our personality privacy is worth the cost.
Failure to launch: Quibi’s short-form platform is short-lived
(TECH NEWS) Despite receiving major funding from big players, Quibi is shutting down only 6 months after launch. What led to their downfall?
Only 6 short months after launching its platform, Quibi has decided to pull the plug.
The mobile-only streaming service’s vision was to create short-form videos with higher production value than that of competitors like YouTube or TikTok. Having enlisted big names such as Steven Spielberg, Ridley Scott, Jennifer Lopez, and Lebron James, Quibi had high hopes for what the service could accomplish. In an open letter posted to Medium, founding company executives Jeffery Katzenberg and Meg Whitman cited timing and the idea of mobile-first premium storytelling not being strong enough as the primary reasons for shuttering.
“As entrepreneurs our instinct is to always pivot, to leave no stone unturned — especially when there is some cash runway left — but we feel that we’ve exhausted all our options.” The letter stated, “As a result we have reluctantly come to the difficult decision to wind down the business, return cash to our shareholders, and say goodbye to our colleagues with grace. We want you to know we did not give up on this idea without a fight.”
The move is somewhat surprising considering that back in March the service managed to raise an additional $750 million in funding, bringing its total fundraising to $1.75 billion. At the time, Quibi CFO Ambereen Toubassy had touted that the second-round of cash had provided the organization with “a strong cash runway,” that would give Quibi “the financial wherewithal to build content and technology that consumers embrace.”
Originally called “New TV”, the initial investors of the service included Hollywood titans Disney, NBCUniversal, and Sony Pictures Entertainment just to name a few. While the amount of money raised was minuscule compared to services like Netflix, it was still an impressive start for an untested idea.
The service did itself no favors, however, in trying to gain new subscribers. Along with being mobile-only, the service started at $4.99 per month for an ad-supported subscription, only slightly cheaper from more robust offerings like Hulu and ESPN+. While you could pay $7.99 per month to get rid of ads, you were also forbidden from taking screenshots, limiting the ability of content on the service to go viral.
Quibi was also financing content, meaning that ownership would revert back to creators after just a few short years. This means building a growing library of content owned by the service was an uphill battle from the start.
“This was flawed from the start, down to the idea of financing content and then giving it back to the creators after a few years.” Said a veteran producer who refused to work with the company, “There is anger in town right now, because it just makes it harder to raise money.”
Quibi is set to be inaccessible starting around the beginning of December, according to a post on the company’s support site. While much of the service’s content will not be missed, one still wonders what might have been had the company managed to gain some traction, or the COVID-19 pandemic had not come to pass. Either way, Quibi’s business partners may want to read up on some of these tips as they discuss where things should go from here.
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