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How To Build Brand Authenticity With Artificial Intelligence

aiuniverse — Sat, 20 Mar 2021 06:54:10 +0000

Source – https://www.forbes.com/

Dawson Whitfield is the CEO and Founder of Looka, a logo design and brand identity platform powered by artificial intelligence.

Artificial intelligence (AI) has long been a source of anxiety for marketers. The mere mention of AI entering marketing departments triggers fears of being boxed in by rigid analytics or automated out of a job entirely. Despite their reluctance, AI might just be marketers’ best bet to building closer connections with their customers.

Defining Brand

So how exactly can AI make brands more authentic?

To start, it’s worth nailing down the definition of “brand.” While many marketers see brand as the sum of the designs and content they create, those are just one aspect. At its heart, brand is the collective impression customers have of a company. Every experience customers have with a company contributes to that company’s brand. With that definition in mind, the role of AI in creating an authentic brand experience comes in a few forms.

Brand Accessibility

On the most basic level, brand authenticity begins with accessibility. Accessibility brings brands to larger audiences and allows those audiences to experience it more fully. MORE FOR YOUArtificial Intelligence (AI): What’s In Store For 2021?Google Search’s December 2020 Core Update: What To Do If Your Traffic DroppedReimagining Digital Governance With Artificial Intelligence And IoT

As marketers create more and more video content, they can easily exclude deaf and hard-of-hearing customers. Manually generated captions take time and may not be a priority for marketers facing a crowded content calendar. Enter AI-generated video captions, which allow brands to improve video accessibility effortlessly. Usable even on live video, AI-powered captions add a depth of experience to video content.

For those with visual impairments, the image-rich world of social media marketing can be challenging to navigate, let alone enjoy. Facebook and Instagram’s built-in AI-generated image captions feature is breaking down those barriers. This means more people can enjoy social media content, regardless of whether a brand has added an image description.

In a busy marketing calendar, accessibility — while essential — can be seen as just one more thing to remember. By removing the effort required to create an accessible brand experience, AI allows for broader brand connections.

Understanding Customer Experience

Beyond removing barriers in accessibility, AI can also remove barriers in understanding. For many marketers, collecting customer feedback is equally enlightening and time-consuming. While brand reviews and online mentions provide a window into customer brand perceptions, they’re often hidden in the depths of raw data.

AI-powered sentiment analysis lets AI do the dirty work of sorting through data to produce insights on the way customers see brands. Beyond simple “positive,” “negative” and “neutral” perceptions, newer methods of AI-driven sentiment analysis are even beginning to weed out sarcasm in customer feedback.

Unlike customer surveys or interviews, sentiment analysis leverages unfiltered customer feedback. Combined with the scale of data AI can process, this application offers a complete picture of how customers perceive brands. By comparing these brand perceptions against their intended brand, marketers can better understand where they might be missing the mark. In working to close this gap, brands can become the most authentic version of themselves.

Personalized Brand Experiences

Beyond making customer experiences more accessible and understood, AI can also personalize those experiences. One of the biggest obstacles to brand authenticity is how impersonal marketing becomes as it scales. While marketers try to mitigate this issue through segmentation, segments alone can’t create the level of personalization customers are looking for.

To create the ever-elusive “segment of one,” AI offers a simple solution. Solutions like Google’s Recommendations AI learn the content and products each customer prefers to serve them more of what they want. By strategically presenting the parts of your brand each customer connects with, brands can offer entirely personalized experiences. It’s this kind of one-to-one connection that makes customers feel understood by brands.

Creating Brand Assets

Marketers might more readily accept AI’s role in accessibility, analysis and personalization, but genuinely creative AI can still be alienating. But even AI capable of generating design and content has an important part to play in making brand experiences more authentic.

At first glance, Open AI’s text-to-image generation and generated text capabilities seem like an existential threat to creatives. For my part, I’ve heard more than a few designers complain that my company’s AI-powered logo creation was taking away work from designers. While these AI applications may seem like a threat, they too can aid in humanizing brands.

Authentic brands need a unique angle that sets them apart from competitors. Still, marketers spend much of their effort on generic first drafts. Generated designs and content allow marketers to put their effort into fine-tuning rather than focusing on foundations. Providing more time to work on the details that distinguish brands, AI-generated assets shift the focus toward customer experience, so marketers can invest their time in the aspects of their assets that customers will remember.

Manufacturing Brand Authenticity

From the basics of brand accessibility all the way up to generated brand assets, AI can be a powerful tool for marketers. Rather than adding a barrier between brands and customers, AI excels at removing barriers. For marketers brave enough to make the leap, they might just find their brand’s humanity benefits from a bit of automation.

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TOYOTA IS USING ARTIFICIAL INTELLIGENCE TO BUILD A NEW CITY

aiuniverse — Tue, 16 Mar 2021 06:44:11 +0000

Source – https://www.analyticsinsight.net/

Are you ready to co-exist with artificial intelligence and robots?

Toyota, one of the biggest automobile manufacturers is employing artificial intelligence to make a futuristic city for 2,000 staff members and families. Yes, of course, the city will be powered by robots as well. The city will be governed by an operating system and will have roads dedicated for self-driving vehicles to carry on without any hassle.

Toyota has begun laying the foundation for a 175-acre smart city in Japan. The company says that artificial intelligence and futuristic technologies will act as a ‘living laboratory” which raises many eyebrows. Being built at the base of Mount Fuji, the “Woven City” will be situated approximately 62 miles from Tokyo.

The aim of building such a city is to serve as a testing ground for modern technology that can be established across other urban environments like robotics, AI, and interconnected smart homes.

Toyota announced this futuristic project at CES 2020 in January last year. The company had said that the city will have three types of roads which will be connected at the ground level – one road for pedestrians, one for pedestrians using their personal vehicles like e-scooters, and one road just for self-driving cars. While these roads will be for the public, the city will also have one conventional road underneath the city that will be used to move goods.

In 2018, Toyota launches its self-driving vehicle, the e-Palette which is expected to be the Woven City project’s main transport. Toyota said that their e-Palette is “scalable and customizable” for various functions like ride-sharing, delivery services, mobile offices, and even hotels.

The 2,000 staff and families will live in smart homes with AI technology and various integrated robotic systems to assist everyday life and sensor-based artificial intelligence to monitor people’s health and other basic needs.

The project is divided into phases and the first phase will have about 360 residents of varying age groups, rising to 2,000 including a few Toyota employees and their families along with scientists and inventors who will keep checking the effectiveness of the technological solutions.

Will all the futuristic technology cause hindrance to human connections? Toyota has said “encouraging human connection will be an equally important aspect of this experience. Building a complete city from the ground up, even on a small scale like this is a unique opportunity to develop future technologies, including a digital operating system for the city’s infrastructure.”

About the AI technology, Mr Toyoda said, “With people, buildings, and vehicles all connected and communicating with each other through data sensors, we will be able to test connected AI technology, in both the virtual and the physical realms, maximizing its potential.

Concept Of An Interconnected Smart Home

A smart home lets the homeowner control all the smart devices remotely from anywhere with a steady internet connection. This means that a person can control security functions, temperature, lighting, etc. remotely. Smart home devices come with self-learning skills to learn the owner’s schedules and make choices on their own accordingly. If a smart home is fitting with smart lights, it automatically turns the light on and off, saving electricity. Smart home security systems intimate the owner when it detects an expected motion. These small yet effective conveniences make human lives easier.

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How industry can build better AI for the military

aiuniverse — Mon, 10 Jun 2019 10:49:21 +0000

Source:- c4isrnet.com

As AI becomes more prominent in the national security community, officials are grappling with where to use it most effectively.

During a panel discussion at the C4ISRNET conference June 6, leaders discussed the role of industry building AI that will be used by the military.

After studying small and big companies creating AI technology, Col. Stoney Trent, the chief of operations at the Pentagon’s Joint Artificial Intelligence Center, said he found commercial groups do not have the same motivations that exist in the government.

“Commercial groups are poorly incentivized for rigorous testing. For them that represents a business risk,” Trent said. Because of this, he the government needs to work with the commercial sector to create these technologies.

“What the Defense Department has to offer in this space is encouragement, an incentive structure for better testing tools and methods that allows us to understand how a product is going to perform when we are under conditions of national consequence because I can’t wait,” Trent said. “Hopefully, the nation will be at peace long enough to not have a high bandwidth of experiences with weapons implementations, but when that happens, we need them to absolutely work. That’s a quality of commercial technology development.”

For this to take place, the Department of Defense needs to help create the right environment.

“All of this is predicated on the Pentagon doing things as well,” said Kara Frederick, associate fellow for the technology and national security program at the Center for a New American Security. “Making an environment conducive to the behaviors that you are seeking to encourage. That environment can be the IT environment, common standards for data processing, common standards for interactions with industry, I think would help.”

Panelists said national security leaders also need to weigh the risks of relying more on AI technology, one of which is non-state actors using AI for nefarious purposes.

Trent said he sees AI as the new arms race but noted that in this arena, destruction may be easier than creation.

“AI is the modern-day armor anti-armor arms race,” Trent said. “The Joint AI Center, one of the important features of it is that it does offer convergence for best practices, data sources, data standards, etc. The flip side is we fully understand there are a variety of ways you can undermine artificial intelligence and most of those are actually easier than developing good resilient AI.”

Frederick said part of this problem stems from the structure of the AI community.

“I think what’s so singular about the AI community, especially the AI research community, is that its so open,” Frederick said. “Even at Facebook, we open source some of these algorithms and we put it our there for people to manipulate. [There is this] idea that non-state actors, especially those without strategic intent or ones that we can’t pin strategic intent to, could get a hold of some of these ways to code in certain malicious inputs [and] we need to start being serious about it.”

However, before tackling any of these problems, leaders need to first decide when it is appropriate to use AI

Rob Monto, lead of the Army’s Advanced Concepts and Experimentation office, described this process as an evolution that takes place between AI and its users.

“AI is like electricity,” he said. “It can be anywhere and everywhere. You can either get electrocuted by it or you target specific applications for it. You need to know what you want the AI to do, and then you spend months and years building out. If you don’t have your data set available, you do that upfront architecture and collection of information. Then you train your algorithms and build that specifically to support that specific use case…AI is for targeted applications to aid decisions, at least in the military space, to aid the user.”

Once the decision is made how and where to use AI, there are other technologies that must make advances to meet AI. One the biggest challenges, said Chad Hutchinson, director of engineering at the Crystal Group., is the question of hardware and characteristics such as thermal performance.

“AI itself is pushing the boundaries of what the hardware can do,” Hutchinson said.

Hardware technology is not the only obstacle in AI’s path. These issues could stem from policy or human resource shortfalls.

“What we find is the non-technology barriers are far more significant than the technology barriers,” Trent said.

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