Articles

5 Ways to Use AI and Overcome COVID-19

COVID-19 is on the spree of spreading like a forest fire and ruining the countries’ economy worldwide. The pandemic situation of COVID-19 has suspended the business activities of several industries. Still, AI is one of the few sectors that has stood tall and explores ways to help the world overcome COVID-19. Artificial intelligence is the future, and it is contributing mainly to the fight against the COVID-19 pandemic. 

AI has been deployed in many ways to help overcome the coronavirus pandemic situation. Here is a list of 5 ways to use AI and overcome COVID-19.

Source de l’article sur DZONE

Why Do You Need to Get Microsoft Certified: Azure AI Engineer Associate Certification?

AI has been a revolutionary technology in the Tech world. The demand for artificial intelligence-related professions is increasing at an incredibly rapid rate. Similarly, the demand for an Azure AI Engineer is on buzz and at an all-time high. Many other AI-concerned accreditations could also be good alternatives for IT professionals. But, MS Azure assures a rapidly growing Artificial Intelligence landscape with innovative service offerings and advanced technologies. Hence, the demand for Microsoft Azure AI Engineer Associate Certification has increased to a large extent over the past few decades.

The future platform of the IT accreditation, AZURE AI mainly assists you to scrutinize AI services which count bots, agents, language, vision, speech, by adopting knowledge mining, cognitive services, and machine learning. AI solutions are required to satisfy scalability and performance to meet end-to-end solutions, for that we need to have advanced technologies and tools for analyzing and recording timely operation. 

Source de l’article sur DZONE

Eye Vs AI: Harnessing Technology to Successfully Track User Attention

Attention is the new gold; brands are in a constant competition for our attention.

A big portion of our time we spend online, where we are bombarded with insane amounts of information and advertisements. It’s hard not to become overwhelmed in this world of consumerism. We have had to become good at quickly evaluating which information is important, especially on the internet.

Good marketing specialists know that they have mere seconds to turn a potential customer into a lead. People are not going to spend a lot of time examining your advertisement or landing page, either it clicks or not. Moreover, most users do not read the articles, they scan them. First impression plays a huge role in the success of your business, so do not leave that to a chance.

You really don’t want your customer to ignore that special sale, subscription option, or another call to action on your webpage. That is why you need to know where that gold-worthy attention goes when a user opens your landing page. Here’s where technology can come in handy.

Eye-Tracking in Web Design

It is very important to know where your website visitor’s attention goes first. How to get that info? Eye-tracking is the answer.

Eye-tracking technology can be used to optimize your website conversions. By tracking eye movements, technology will recognize which content is most intriguing for the users. It will reveal whether people pay most attention where you want them to, which elements are distracting or not visible enough, and where sales are lost. This information is invaluable if you want to succeed in the current market.

This information is invaluable if you want to succeed in the current market

How does it work? An eye tracker, such as webcam or goggles, measures movement of an eye. Collected data is analyzed and presented as a heatmap, highlighting which elements of your design attract most attention. Having in mind that browsing time rarely exceeds a few seconds, this information is very valuable when you try to understand your audience.

You wouldn’t want to spend much time on your website design just to discover it does not generate desired conversion rate. By employing this technology you can make changes based on reliable data rather than intuition and guarantee your business future success.

By now you may think that you definitely need to carry out this eye-tracking study, but there is a catch. A high-quality behavioral observation or eye-tracking is a time-consuming, budget eating complicated process.

If you want to draw conclusions from heatmaps, you would need to include at least 39 participants in a study. One individual test may last from 20 minutes to an hour. Time quickly adds up when you include preparation and analysis of the results. The average eye tracker price is around $17,500 and it may vary between several thousand dollars and $50 000. Of course you can hire a company to carry out this research for you but it may cost you several hundred dollars a month. Luckily, technological innovations allow us to acquire the same insights about users’ attention flow much cheaper and faster than conducting or buying an actual eye-tracking study.

Technological innovations replace real eye-tracking study

AI-Powered Automatization of Eye-Tracking

In this task of understanding how internet users are interacting with your website, Artificial Intelligence (AI) seems to be an answer. AI-based technologies already have become prevalent in various services we use on a daily basis. For example, Netflix’s highly predictive algorithm offers viewers personalized movie recommendations. Medical researchers utilize eye tracking to diagnose conditions like Alzheimer’s disease or Autism. As these algorithms become better every year, AI also becomes an irreplaceable tool in business.

Over the years researchers have collected so much data that human behavior becomes really predictable

How can AI help you to understand your customer’s attention? The main feature of AI is that it can mimic human intelligence and constantly improve itself by learning from data. Predictive eye-tracking is based on deep learning and trained with previous eye tracking study data. Over the years researchers have collected so much data that human behavior becomes really predictable. Technology predicts which specific areas of your website attract most interest. In this way, AI enables you to speed up the UX research process and get insights about your design in a matter of seconds.

Too good to be true? There are already several available tools on the market, such as Attention Insight or EyeQuant. These predictive design tools are based on deep learning and trained with previous eye-tracking studies data. Up to date, they have achieved an 84-90% accuracy.

AI-powered attention heatmap

AI solutions for designers and marketers have already become major competitors to traditional eye-tracking studies. Due to active competition, predictive eye-tracking tools are constantly innovating and recently started generating heatmaps for videos. Another useful feature that provides decision-makers with quantitative data is a percentage of attention. Users can define an object that they want to test and get an exact percentage of attention that the object receives.

Conclusion

Since all digital products are competing for user’s limited attention, it has become one of the most valuable resources. Due to fierce competition, it is not enough to rely on your intuition and gut instinct while making important decisions anymore. Designers have a choice in this economy of attention, though.

Yes, there are eye-tracking studies that require a significant amount of time and financial resources.

However, you can make user-centric, data-driven decisions in a quick, scalable, and private way while your product is still under development. AI-powered predictive eye-tracking tools might be an answer. Attention is a new currency, and you must measure it.

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Curious Case of Actuarial Science, Geocoding, and Machine Learning

This article illustrates how Geocoding uncovers the untapped value within generally overlooked insurance categories, such as Life and Annuity, and how it can help address modern-day business challenges remarked by Orszag. While Geocoding in Big Data is gaining prominence within Property and Casualty (P&C), we believe the real opportunity lies in the actuarial adoption of AI framework capable of processing consumable inputs that weren’t visible in the erstwhile "Ease of Geocoding" era.

Establishing this premise for Life and Annuity, we then pivot towards crafting a general purpose Geo-inclusive architecture that can help actuaries of all disciplines apply Machine Learning to solve new generation of business problems, such as, dwindling subscribers or risk-attributed challenges, such as, Adverse Selection.


Source de l’article sur DZONE (AI)