This newsletter will take you about 4 minutes to read. How do most organizations begin their Artificial Intelligence (AI) journey? Let's look at how leaders of some large enterprises planned their foray into AI. And here's an example that I witnessed first-hand. What do all of these initiatives have in common? In addition to the massive sunk costs suffered by these projects, they led to the organization's disillusionment with advanced analytics.

Few things in the tech world get people more excited than artificial intelligence. AI research has been around for decades, but we've seen endless hype about it in the past few years. Elon Musk made headlines (as he always does) in 2018 when he said super-intelligent AI poses the greatest existential threat to humanity, more so than climate change and nuclear weapons. Various studies and reports lately claim AI will massively boost the economy, followed by the predictable headlines that robots are coming for our jobs. But how much of this talk is hype, and how much is based in reality? For every AI enthusiast, there's a scientist and researcher out there who will be quick to tell you that we're still far away from the holy grail of artificial general intelligence.

"What projects can I do with machine learning?" We often get asked this question a lot from beginners getting started with machine learning. ProjectPro industry experts recommend that you explore some exciting, cool, fun, and easy machine learning project ideas across diverse business domains to get hands-on experience on the machine learning skills you've learned.

In February, Zillow appeared so confident in its ability to use artificial intelligence to estimate the value of homes that it announced a new option: for certain homes, its so-called "Zestimate" would also represent an initial cash offer from the company to purchase the property. The move, touted by a company exec at the time as "an exciting advancement," was intended to streamline the process for homeowners considering selling to Zillow as part of its home-flipping business. Zillow promoted this option as a way to make it convenient to sell a home while minimizing interactions with others during the pandemic. Just eight months later, however, the company is shutting down that business, Zillow Offers, entirely. The decision, announced last week, marks a stunning defeat for Zillow.

Zillow Group (NASDAQ:Z) (NASDAQ:ZG) operates the most popular real estate websites and mobile apps in the world, with its internet properties receiving 2.8 billion visits during the most recent quarter. And while many investors are likely familiar with the company, it's easy to overlook the technology that powers its digital platform. In this Backstage Pass video, which aired Sept. 27, 2021, Motley Fool contributor Toby Bordelon explains how Zillow uses artificial intelligence to create a better experience for home buyers and sellers. The Zestimate, I assume you are all familiar with, is in many sub-markets now an actual legit offer to buy the house at that price. That they are at the level they are willing to say, we're going to use this AI that processes our Zestimate to make actual cash offers for houses.

Zillow Group (NASDAQ:Z) (NASDAQ:ZG) operates the most popular real estate websites and mobile apps in the world, with its internet properties receiving 2.8 billion visits during the most recent quarter. And while many investors are likely familiar with the company, it's easy to overlook the technology that powers its digital platform. In this Backstage Pass video, which aired Sept. 27, 2021, Motley Fool contributor Toby Bordelon explains how Zillow uses artificial intelligence to create a better experience for home buyers and sellers. If you have been searching for a house or even selling a house, you probably used Zillow or a competitor. What are they doing in AI? It's very interesting.

Brick-and-mortar real estate may seem like the only tangible thing left in an increasingly virtual world, but it too is being taken over by artificial intelligence. Some of the biggest names in the business, such as Compass, Zillow and LoanSnap, are now employing AI to help find buyers the perfect mortgage and the perfect home. And for real estate agents, it may already be a game-changer. Most real estate data is public, from land records to title documents, purchase price and even mortgage liens. The trouble was it was an onerous process to go to local offices and obtain all the information.

Join executive leaders at the Conversational AI & Intelligent AI Assistants Summit, presented by Five9. Zillow has been a big name for online home seekers. There have been more than 135 million homes listed on the platform, and the company has streamlined the real estate transaction process from home loans, title, and buying. It says AI has been at the heart of success in providing customized search functions, product offerings, and accurate home valuations -- with a claimed median error rate of less than 2%. Zillow's initial forays into AI in 2005 centered around blackbox models for prediction and accuracy, Stan Humphries, chief analytics officer at Zillow, said at VentureBeat's virtual Transform 2021 conference on Tuesday.

Seattle real estate giant Zillow Group announced new tweaks to its Zestimate tool that provides home value data on more than 104 million properties. The company now uses machine learning-based neural networks and additional data that improve how quickly the algorithm reacts to market trends. Zillow said Zestimate's national median error rate for off-market homes is now 6.9%, an improvement of nearly a full percentage point. The median error rate for on-market homes is 1.9%. Using neural networks was a technique used in 2019 by the winners of the ZIllow Prize, a competition to improve the Zestimate.

Weeks after revealing the company planned to turn the Zestimate into a live offer in certain Zillow Offers markets, Zillow announced Thursday that qualifying homeowners in 20 markets would now officially see their Zestimate turned into a live offer. The move comes roughly 15 years after Zillow initially introduced the Zestimate to consumers, a proprietary automated valuation model that uses machine learning to predict the market value of a home. "We've long said, one of the beauties of Zillow Offers is that it's the best first step for you to think about selling," Jeremy Wacksman, Zillow's chief operations officer told Inman. "Nobody wants to think about selling, most sellers are thinking about buying, they want to be thinking about buying, but at some point they have to think about, 'oh my gosh I have to go through this process.'" "The Zestimate is the starting point for that. If we can turn the Zestimate into a starting offer for certain customers, that's going to get them to raise their hand and say, 'Okay, I'm thinking about moving, help me understand, am I trading in? Can I talk to an agent about that?'"