Remove money property
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Evergrande has been liquidated but why should you care?

Dataconomy

Big news hit us recently: China Evergrande liquidation Hong Kong, a huge property company, is in deep trouble. This company owes a lot of money – over $300 billion. They used to be a big deal in China’s property world. They borrowed lots of money and built lots of buildings. That’s a lot!

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How the AI Boom is a Windfall for Tiny Anguilla

Hacker News

Cate: This other company came and convinced the government that they could make a lot of money on it. So the government is getting almost all the money. Most of the money was not going to the country. How much money is being brought in by.ai How much money is being brought in by.ai So we’re doing well, I would say.

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RWAs have already tokenized hundreds of millions; which industries will have the biggest growth in 2024?

Dataconomy

Banking giant JPMorgan is one of those leading the pack , having announced in late 2023 that it has successfully demonstrated a proof of concept for the tokenization of money market funds for asset managers.

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Algorithmic rent increase

FlowingData

It’s growing more common for landlords to use software to set the rental prices of their properties. RealPage discourages bargaining with renters and has even recommended that landlords in some cases accept a lower occupancy rate in order to raise rents and make more money.

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Serviceability 101: Key Driver of Telecom Growth

Precisely

A robust understanding of serviceability typically requires complete address precision, accurate property classifications, building information, and property boundaries. And with Property Graph , you can easily gain even more contextualized information about properties to drive your broadband decisions.

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Use Data Enrichment to Supercharge AI

Precisely

Read Here are some of the categories of enriched data that Precisely offers: Address and property data , including highly granular information on specific properties, verified and constantly updated with the latest details. Boundaries such as governmental (cities, towns, etc.), administrative (school districts, census blocks, etc.),

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Real Estate and Big Data: A Match Made in Heaven?

Smart Data Collective

The combination of big data, AI, and predictive analytics makes it far easier to search for properties and zero in on the ones that have the greatest chance of being profitable. If nothing else, it allows investors to eliminate properties that are considered high-risk. Improves Tenant Selection. Automated Valuation Computations.

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