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Not all driverless cars are the same, educate yourself on the five types

(TECH NEWS) Before you start saving for your next driverless dream, take a look at the various types of autonomous cars (there are many).

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The Jetsons coming to life

Driverless cars circa the 1980s were such a futuristic and forward-thinking concept that they were only fathomable through cartoon depictions like the Jetsons. Today though, engineers (who I’m supposing were hard-core Jetson fans) have created five levels of real life driverless that are even cooler than their cartoon counterparts.

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Tesla’s “Autopilot” feature, which boasts self-capabilities at safety levels greater than that of a human driver, is the closest us consumer’s will get to the Jetson experience thus far. In the meantime, self-driving cars with varying levels of autonomy are being publicly tested in states like California, Nevada, and Pennsylvania.

From self-parking to collision avoidance, there are an array of different features that will be made available to consumers. But before you start saving for your next dream, take a look at which kind is best for you and your futuristic needs.

Gauge the levels

Level 0
Zero automation

Simply put, your car is most likely a zero automation car. A human driver is required to operate and fully control the vehicle.

Level 1
Driver assisted/function specific

These cars are for those who don’t trust automobile’s with their lives. They still require a driver to operate the vehicle, but act as an aid to the driver, providing intelligent features that offer more convenience, safety, and comfort to the driver. This kind of car can send alerts regarding road conditions, environmental conditions, and potential obstructions.

Most commonly, Level 1 cars have features like lane keeping, automatic acceleration and deceleration in cruise control, and automatic stop to prevent collisions, while still requiring full control from the driver.

Level 2
Partial automation/combined autonomous functions

At this level, a self-driving automobile can perform two or more simultaneous tasks like steering, lane keeping, and speed maintenance while in cruise control mode.

Automatic lane changing and self-parking in parallel and perpendicular spots are also available in some cases. The driver in a Level 2 vehicle, unlike in the aforementioned descriptions, gives partial control to the automobile.

Level 3
Conditional automation/limited self-driving

In this case, the car assumes more than just partial control, and acts instead as a co-pilot.

Level 3 vehicles can manage most safety-critical driving functions in certain environmental conditions, like traffic jams on the highway.

Although the driver can relinquish a lot of tasks to the car, the driver must to be ready at all times to resume control.

Level 4
High automation

Level 4 vehicles are capable of performing all safety-critical driving functions while monitoring environments in defined-use cases without human intervention.

Here, drivers need to enter the destination and navigation details and the car will handle the rest. There is still a driver cockpit, but the driver is able to look away from the road, take their hands off of the wheel, foot off of the accelerator, and still be safe.

Level 5
Fully autonomous

This car, hence the name, does not require any effort or driving on behalf of the human owner.

There is actually no driving equipment in the car, and is instead designed to resemble comfortable environments like lounges and offices. The vehicle is in full control.

Get on their level

To satiate our obsession with all that is convenient, automated cars are expected to improve and become more complex as research and ideas develop.

If the engineers are true Jetson fans though, these improvements will reveal themselves as automated, flying cars just like theirs.

In the meantime, I’m going to stick with my Level 0 Honda and save for my Level 4 dream car. Which level would you drive? Let me know in the comments below!

#OnTheLevel

Lauren Flanigan is a Staff Writer at The American Genius, hailing from the windy hills of Cincinnati, with a degree in Marketing from the University of Cincinnati. She has escaped the hills, and currently resides in Atlanta, where you can almost always find her camping at a Starbucks strategizing on how to take over the world.

Tech News

Loopy is the easy tool that helps you explain hard ideas

(TECH NEWS) Loopy is a tool that can revolutionize how we explain anything from personal ideas to business complexities.

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In a world filled with complex systems, Loopy serves as a tool for people to take their time understanding them.

The tool allows users to create interactive simulations to help people explain their ways of thinking.

Loopy has found a way for people to interact with simulations without complicated code or overused drag and drop. You can create your own or collaborate with other simulations already made on the site.

It is a great way to challenge yourself while learning how each system works.

Loopy encourages you to ask hypothetical questions to better understand the systems. The model consists of circles and arrows to remain uncomplicated. When you remix or interact with simulations that were made by other users, it is as if you are having a conversation via the simulations. Loopy describes this as “talking in systems” which makes the entire experience more impactful.

Though Loopy can be used as a fun way to exercise your brain, it also has practical implications. For instance, simulations can be embedded into blog posts, live lectures and presentations. You can also develop videos to further explain complex ideas.

This is especially useful for businesses who want to simplify their models when communicating with investors and consumers.

Simulations can be a fun way to illustrate your thoughts and support your ideas. Businesses can use Loopy to create collaborative activities for their employees to mess around with as well.

The best part is that anyone can try it out for free. On their site, you can develop your own simulations or adjust ones that have already been made.

At its core, Loopy is simulation software.

However, their goal is to give everyone the tools that they need to understand complex systems. This goes for both the creators and the viewers, who are all a part of the process.

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Tech News

This phishing simulator tests your company’s (lack of) readiness

(TECHNOLOGY) Phishero is a tool which tests your organization’s resistance to phishing attacks. Pro tip: Most companies aren’t ready.

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In the wake of any round of cyberattacks, many organizations question whether they’re prepared to defend themselves against things like hacking or other forms of information theft. In reality, the bulk of workplace data thievery comes from a classic trick: phishing.

Phishing is a catch-all phrase for a specific type of information theft which involves emailing. Typically, a phishing email will include a request for sensitive data, such as a password, a copy of a W-4, or an account’s details (e.g., security questions); the email itself will often appear to come from someone within the organization.

Similar approaches include emailing a link which acts as a login page for a familiar site (e.g., Facebook) but actually stores your account information when you sign in.

Luckily, there’s a way for you to test your business’ phishing readiness.

Phishero, a tool designed to test employee resistance to phishing attacks, is a simple solution for any business looking to find any weak links in their cybersecurity.

The tool itself is designed to do four main things: identify potential targets, find a way to design a convincing phishing scheme, implement the phishing attack, and analyze the results.

Once Phishero has a list of your employees, it is able to create an email based on the same web design used for your company’s internal communications. This email is then sent to your selected recipient pool, from which point you’ll be able to monitor who opens the email.

Once you’ve concluded the test, you can use Phishero’s built-in analytics to give you an at-a-glance overview of your organization’s security.

The test results also include specific information such as which employees gave information, what information was given, and pain points in your current cybersecurity setup.

Phishing attacks are incredibly common, and employees – especially those who may not be as generationally skeptical of emails – are the only things standing between your company and catastrophic losses if they occur in your business. While training your employees on proper email protocol out of the gate is a must, Phishero provides an easy way to see how effective your policies actually are.

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Tech News

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 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.

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.

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