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Requests for Startups in 2024

VC Cafe

I’ve recently come across several of such lists and I thought it could be useful to aggregate them and share them here. Programmatic investing using natural language – Using natural language or decision trees, consumers with no knowledge of code can build algorithms that execute trades for them.

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19 Entrepreneurs List Their Favorite Technology Innovation

Hearpreneur

I quickly built a prototype that would connect to each of my bank accounts and aggregate all of the accounts & transactions into one platform. By employing algorithms and machine learning, we can now predict market trends, assess property values, and personalize investment strategies with a precision that was previously unattainable.

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Does Fintech Disruption Break The Investment Banking Model?

YoungUpstarts

Here digital intercepts of consumer activities are aggregated into large data sets, analysed, and assessed versus market expectations. Legacy architecture in financial services, by contrast, is comprised of unique centralized databases, requiring the need and added cost of intermediaries to verify transactions between them (e.g.

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The Great Retail Reinvention: How the Internet Is Reshaping the Way We Buy Clothing

View from Seed

And it’s critical to get the granular data from these physical interactions to really improve algorithms around fit and personalization that cannot be tuned in other ways. Consumers have to actually put the clothes on their bodies to discover which products are right for them. Owning High Shares of Customer’s Wallet.

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Search Intent: How to Analyze and Optimize Your Site

ConversionXL

But algorithms haven’t always kept pace. Aggregators? Blue links of aggregator sites with “Best Restaurants” lists. SERPs with a high cost-per-click (data those tools also return) suggest a bottom-of-funnel or transactional query. displays aggregators when you’re an individual site, or vice versa). The lesson?

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Technology, Innovation, and Modern War – Class 11 – Cyberwarfare –– Sumit Agarwal

Steve Blank

So far, there are a few technological solutions that can do frame-by-frame and pixel-by-pixel comparison and figure out when various kinds of algorithms are being used to make a mouth move saying words other than what was said in the original video. Deep fakes are a really, really challenging problem. Same for images.

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The Long Economic Case for Snapchat

Both Sides of the Table

And they also are great for sports events (I watch the Eagles pregame videos from fans aggregated in one place, for example). It also makes purchasing more cost effective. I have found no better platform in a national event like the Paris bombings to see what is happening on the ground by real people. Authenticity / Endemic.