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As all agents, brokers, and home buyers know, searching for a home is a deeply personal process, and one of the most difficult challenges for buyers is narrowing down what they want. When a prospective buyer walks through a home or searches for one online, they are making hundreds of value judgments, often without ever consciously realizing them or expressing them to the real estate professional they are working with.

Thankfully, artificial intelligence (AI) can now help bridge that gap and deliver a customized and personalized experience for consumers, without additional work by the agent or broker.

Here are a few exciting ways AI technology is making this possible:

For years, it has been easy to search for homes based on basic criteria like square footage, but what if a client wants something a little more specific, such as hardwood floors in all of the bedrooms, or homes with granite counters and white kitchen cabinets?

Thats where AI comes in. Those kinds of variables, or combinations of them, are not often captured by a listing data feed, but they can be critical to personalizing the customer experience. AI makes it easy to get the right search results quickly for even the most particular clients.

If you watch Netflix or use Amazon, youre already familiar with AI technology that reacts to each individual consumers preferences. On those platforms, what you stop to review, or even the amount of time you spend reviewing, is used to define preferences without ever asking you a specific question. In real estate, AI-powered search platforms are starting to offer buyers similar interactions.

Agents can now encourage consumers to find and upload images of what theyre looking for types of home, the finishes, the features, the layout and have tech tools handle the hard work of searching for similar properties on the market.

Firms like Wayfair, Home Depot, and others are leveraging tools that allow consumers to visualize what a room or a home would look like with different paint colors, with their own furniture or even after a renovation. This allows buyers and sellers to maximize the interest in a transaction by seeing what their home will look like in the future.

Instead of typing something like, New York, three-bedroom apartment, prospects are now able to simply speak into their phone or computer microphone and say something like, I need a three-bedroom apartment with a Central Park view in New York, facing east. And before long, platforms will be able to reply to them verbally. With computer vision technology, that becomes a reality by utilizing plain-English descriptions of what is tagged in images and searching for them.

For sellers, search placement can be improved by using technology that automatically tags home features in listing photos. That means that agents can avoid writing all those tags and detailed image descriptions, but still have their sellers benefit from optimal search engine placement. At a time when the vast majority of home searches start online, thats a big deal.

Put simply, developments like these are increasingly transforming the home search process and making it easy for real estate professionals to deliver an even more highly personalized service for their customers without adding more to their plates.

Red Bell Real Estate, LLC, a homegenius company, is at the forefront of these and other exciting technology developments that will make agents and brokers jobs easier and more lucrative. If youre interested in learning more about how this tech could work for you or your agents, visit homegenius.com.

2021 Radian Group Inc. All Rights Reserved. Red Bell Real Estate, LLC, 7730 South Union Park Avenue, Suite 400, Midvale, UT 84047. Tel: 866-626-2381. Licensed in every State and the District of Columbia. This communication is provided for use by real estate professionals only and is not intended for distribution to consumers or other third parties. This does not constitute an advertisement as defined by Section 1026.2(a)(2) of Regulation Z.

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6 ways artificial intelligence is revolutionizing home search - Inman

Margie and I were shopping at Sams Wholesale Club yesterday when all of a sudden a floor cleaning machine drove right past us.

This doesnt sound at all eventful, however - at second glance - I could see that the floor cleaning vehicle was driverless. There was a seat, controls, and a steering wheel, but there was no human driver.

As I processed this moment, the first thing I thought about was how cool this is. A driverless, automated vehicle that has a cleaning route all mapped out.

It automatically beeps its horn to alert people of its presence. I watched it break timely for human traffic.

Its amazing, game-changing technology. The store confidently operates this equipment during normal operating hours with people walking right near it. We were there right at 10:00 a.m., yesterday during the opening minutes of operation.

A moment later, I thought, wow, this equipment has taken away a good job that used to exist.

Now, its true that businesses all over America are having a hard time filling numerous open job classifications.

I couldnt help but think about the many jobs that have been eliminated over the past recent years because of technology.

A few years ago,a McKinsey reporthighlighted the following statistics:

Regarding workforce displacement, they conclude that as many as 800 million global jobs and 475 million employees could be disrupted by automation before 2030.

Here are some of the most recent jobs lost due to technology:

Here are six jobs that may disappear by 2030:

Here are five jobs that wont be eliminated by 2030:

In summary, technology is amazing and wonderful. Yet, on the other hand, good jobs that have existed for generations are being eliminated. People will have to become more nimble and adaptable than ever before and be prepared to potentially have to make a career change as the marketplace continues to evolve.

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Artificial Intelligence Is Taking Over Jobs That Humans Did For Years - wpgtalkradio.com

Art history is important to reflect and help to create a cultures vision of itself. Studying the art of the past teaches everyone how people have seen themselves and their world, and how they want to show this to others. Artificial Intelligence in art was not initially applied as a creator but as an impersonator. The technique is called style transfer and it uses deep neural networks to replicate, recreate and blend styles of artwork, by teaching Artificial Intelligence or AI to understand existing pieces of art.

Art history provides a means by which people can get in-depth knowledge about the human past and its relationship to the present because the act of making art is one of humanitys most ubiquitous activities.

When Artificial Intelligence in art gets attention for recovering lost works of art, it makes the AI technology sound less scary than when it garners headlines for creating deep fakes that falsify politicians speech or for using facial recognition for authoritarian surveillance.

According to reports, many scientists are conducting constant studies of art history with the help of artificial intelligence but rather than lionizing these studies as heroic achievements, those responsible for conveying their results to the public should see them as opportunities to question what the computational sciences are doing when they appropriate the study of art. And they should ask whether any of this is for the good of anyone or anything but AI, its most zealous proponents, and those who profit from it.

AI and art have great potential together and many new artists perspectives can be explored with the help of Artificial Intelligence like earlier this autumn, several media houses reported that a Swiss company using artificial intelligence (AI) to assess the authenticity of artworks had calculated a 91.78% probability that Samson and Delilah were not painted by Rubens. The same company also wrote a report on another painting in the National Gallery A View of Het Steen in the Early Morning (c. 1636) which stated a 98.76% probability that Rubens painted the work.

So, there are always two sides to coins, and the same goes with AI technology. It can be used to hijack art history or one can utilize artificial intelligence to assess the authenticity of artworks.

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Analytics Insight is an influential platform dedicated to insights, trends, and opinions from the world of data-driven technologies. It monitors developments, recognition, and achievements made by Artificial Intelligence, Big Data and Analytics companies across the globe.

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Can Artificial Intelligence Hijack Art History of The World? - Analytics Insight

Scientists develop a software that can be used in combination with MRI data for research and diagnosis

Viewing behavior provides a window into many central aspects of human cognition and health, and it is an important variable in many functional magnetic resonance imaging (fMRI) studies. Researchers from the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig and the Kavli Institute for Systems Neuroscience in Trondheim have now developed software that uses artificial intelligence to directly predict eye position and eye movements from MRI images. The method opens up rapid and cost-effective research and diagnostic possibilities, for example, in neurological diseases that often manifest as changes in eye-movement patterns, writes the Max Planck Institute in a press release.

To record eye movements, research institutions typically use a so-called eye tracker a sensor technology in which infrared light is projected onto the retina, reflected, and eventually measured. Because an MRI has a very strong magnetic field, you need special MRI-compatible equipment, which is often not feasible for clinics and small laboratories, says study author Matthias Nau, who developed the new alternative together with Markus Frey and Christian Doeller. The high cost of these cameras and the experimental effort involved in their use have so far prevented the widespread use of eye tracking in MRI examinations. That could now change. The scientists from Leipzig and Trondheim developed the easy-to-use software DeepMReye and provide it for free.

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With it, it is now possible to track participants viewing behavior even without a camera during an MRI scan. The neural network we use detects specific patterns in the MRI signal from the eyes. This allows us to predict where the person is looking. Artificial intelligence helps a lot here, because we often dont know exactly which patterns to look for as scientists, Markus Frey explains. He and his colleagues have trained the neural network with their own and publicly available data from study participants in such a way that it can now perform eye tracking in data the software has not been trained on. This opens up many possibilities. For example, it is now possible to study the gaze behaviour of participants and patients in existing MRI data, which were originally acquired without eye tracking. In this way, scientists could use older studies and data sets to answer entirely new questions.

The software can also predict when eyes are open or closed. Moreover, it can track eye movements even when the eyes remain closed. This may allow to perform eye tracking even when study participants are asleep. I can imagine that the software will also be used in the clinical field, for example, in the sleep lab to study eye movements in different sleep stages, says Matthias Nau. In addition, for blind patients, the traditional eye-tracking cameras have rarely been used because an accurate calibration was very cumbersome. Here too, studies can be carried out more easily with DeepMReye, as the artificial intelligence can be calibrated with the help of healthy subjects and then be applied in examinations of blind patients. The software could thus enable a variety of applications in research and clinical settings, perhaps even leading to eye tracking finally becoming a standard in MRI studies and everyday clinical practice.

Also interesting: Artificial intelligence in healthcare? Dont focus solely on technology

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Predicting eye movements with Artificial Intelligence - Innovation Origins

List of Top AI Healthcare, Finance, Insurance, Marketing, Manufacturing, Retail & Ecommerce Companies at GoodFirms.

Presently, many businesses seek leading AI companies to help them implement AI technology to gain a competitive benefit within e-commerce, manufacturing, human resources, accounting, customer relations, marketing and many more. Therefore, GoodFirms has unveiled the list of Top AI Companies from various industries like Healthcare, Finance, Insurance, Marketing, Manufacturing, Retail & Ecommerce, and Transportation.

Take a Look at List of Top AI Healthcare, Finance, Insurance, Marketing, Manufacturing, Retail & Ecommerce, and Transportation Companies at GoodFirms:

Top Artificial Intelligence (AI) Companies:

MobiDev, Talentica Software, Sigma Data Systems, SPEC INDIA, Avenga, 7EDGE, SoluLab, Cyber Infrastructure Inc., Redwerk.

https://www.goodfirms.co/artificial-intelligence

Best Healthcare AI Companies:

AiCure, AltexSoft, Apixio, Maxwell Plus, Arterys, Atomwise, CloudMedx, Enlitic, Turbine, Jvion.

https://www.goodfirms.co/artificial-intelligence/healthcare

Best AI Companies in Financial Sector:

Sigmoidal, Kensho, DataVisor, PROWLER.io, Zest AI, Symphony AyasdiAI, Kavout, Alpaca, Vectra, DLabs.

https://www.goodfirms.co/artificial-intelligence/finance

Best AI Companies for Insurance Industry:

H20.ai, Azati Software Corporation, Chisel AI, Gradient AI, Avaamo, daotData, Shift Technology, Fadata, Neutrinos, OSP Labs.

https://www.goodfirms.co/artificial-intelligence/insurance

Best AI Companies for Marketing Industry:

Datorama, Avaus, MindLytiX, GumGum, Albert, NEUON AI, Amplero, Node, BrancoSoft Private Limited, Exemplary Marketing LLC.

https://www.goodfirms.co/artificial-intelligence/marketing

Best AI Companies for Manufacturing:

LeewayHertz, Citadel Analytics, World Wide Technology, 2021.AI, Uptake, Quantellix ML, Wizata, Hacarus, Emerton Data, Augmentir.

https://www.goodfirms.co/artificial-intelligence/manufacturing

Best Retail & Ecommerce AI Companies:

Redwerk, AltexSoft, Peak, Rsystems, Datamatics, Digifutura Technologies, ThoughtSpot, Unicsoft, Chop Dawg, Hey Machine Learning.

https://www.goodfirms.co/artificial-intelligence/retail-ecommerce

Best AI Companies In Transportation:

Trigent, Endive Software, TechSpeed, Space-O Technologies, Django Stars, IntelliCompute, Prakash Software Solutions Pvt. Ltd., Celadon, PerfectionGeeks Technologies, TechnoYuga Pvt. Ltd.

https://www.goodfirms.co/artificial-intelligence/transportation

Internationally recognized GoodFirms is a maverick B2B research, ratings, and reviews platform. It builds a bridge for the service seekers to associate with the most excellent partners. The research team of GoodFirms evaluates each firm through several qualitative and quantitative measures.

The research mainly includes three main factors that are Quality, Reliability, and Ability. Further, these components are subdivided into numerous metrics, such as verifying the past and present portfolio of each agency, years of experience in the expertise area, online market penetration, and reviews from clients.

Focusing on overall research, every agency is assessed and provided with a set of scores that are out of a total of 60. Hence, according to these points, all the firms are indexed in the list of top development companies, most excellent software, and varied sectors of industries.

Moreover, GoodFirms supports the service providers by asking them to engage in the research process and show evidence of their work. Thus, grab an opportunity to Get Listedfor free in the list of top companies as per the categories. Obtaining the position at GoodFirms among the best service providers helps firms to expand their reach to new prospects globally, increase their productivity and sales

About GoodFirms:

GoodFirms is a Washington, D.C. based research firm that aligns its efforts in identifying the most prominent and efficient Artificial Intelligence (AI) companies that deliver results to their clients. GoodFirms research is a confluence of new age consumer reference processes and conventional industry-wide review & rankings that help service seekers leap further and multiply their industry-wide value and credibility.

Rachael Ray(360) 326-2243 [emailprotected]

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GoodFirms Announces the List of Top Artificial Intelligence (AI) Companies Globally for Varied Industries - 2021 - PRNewswire