adlrocha

@adlrocha

73 Following

164 Followers

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For more details on how we’re building the data economy of tomorrow with our friends at Akave please read our full announcement 👇 https://baselight.ai/unlocking-decentralized-structured-data-storage-and-monetization/

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Baselight distributes it. Akave stores it. A new era for structured data is here thanks to our partnership and integration with Akave!

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And oh! what I surprised, I messed up the @baselightdb tag 🤦

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TL;DR, stay safe and take good care of all of your devices (employees and loved ones) if you don't want your data to be stolen by some bad guys somewhere around the world. And as always, follow me for more @BaselightDB insights like this one: https://x.com/adlrocha/status/1892658017281134706

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I wanted to wrap up my analysis checking what sectors have been more prone to be attacked. Again to no ones surprise web applications and government systems are the preferred for attackers, followed by finance. https://baselight.app/u/adlrocha/query/data-braches-by-sector

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And once again, which one has been the most effective method in all these sectors? Hacks! https://baselight.app/u/adlrocha/query/data-braches-by-sector

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But wait, to no ones surprise, the ones that end up disclosing the most sensitive data are "inside jobs" and "lost devices". https://baselight.app/u/adlrocha/query/data-breaches-by-method

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Maybe the dataset isn't as complete as I thought? In any case, I decided to go deeper into the data. What would you say is the most common method used by attackers? You guessed it, plain old hacks. https://baselight.app/u/adlrocha/query/data-breaches-by-method

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Many of you may have heard the news of the recent $1.4B hack to Bybit. This seemed as good an excuse as any other to focus my @BaselightDB Insight of the day on hacks and data breaches 🧵

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Let's first have a look at how the number of data breaches and records lost have evolved globally throughout the years. We can see how there's an upward trend since 2004. There are some outliers and the trend is not as obvious as I would have expected https://baselight.app/u/adlrocha/query/evolution-in-number-of-breaches-and-records-lost

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What happened to funny Super Bowl ads? 🤔 We analyzed 20 years of Super Bowl commercials using Baselight and found some wild trends: 🔻 Sexy ads=declining 🔻 Funny ads=disappearing 🔺 Ad costs=exploding Watch along to see how Baselight fuels #data driven insights like these! https://youtu.be/7VCUMvGEzR0

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Forget gold. Forget Bitcoin. The new inflation hedge is a well-stocked tortilla reserve. Welcome to the new financial frontier 🌽💰 Looking for data on prices changes for other delicacies? We have tables for that!

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For my @baselightdb insight of the day I present you the "Tortilla Index", my own personal proxy for inflation. This innovative index tracks the price of Mexican tortillas alongside other key commodities over time, offering a unique glimpse into inflation trends. Anyone that has gone to buy groceries lately have experienced this trend, but I wanted to support it with some data. https://baselight.app/u/adlrocha/query/tortilla-index

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I decided to focus my @baselightdb insight of the day on the evolution of data roles. Here’s what I found: mid/large companies are hiking salaries—but cutting back on remote roles. What should we expect if the demand keeps surging? I have homework for my next @baselightdb insight. https://baselight.app/u/adlrocha/query/data-jobs-insight

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Let’s talk music history! For today’s @baselightdb insight, which genre has ruled the decades? The 70s, 80s, and 90s? Rock was the undisputed king. 👑 But fast forward to the 2000s—Latin and electronic music have taken the crown! 🎶💃 https://baselight.app/u/adlrocha/query/song-per-genre-over-the-years

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@baselightdb insight of the day! There's always discussions about what is the fastest, loudest, or most popular music genre. Time to settle that discussion leveraging one of @baselightdb datasets! TL;DR: Pop is the most popular :) https://baselight.app/u/adlrocha/query/song-metrics-per-genre

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As AI demand surges, #navidia stock moves the markets—but does its price reflect the actual cost of GPUs? Good news, Baselight has tables for that exact question!

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As always, here's the direct link to the query. Ping me if you want an alpha invite to the platform. https://baselight.app/u/adlrocha/query/gpu-price-v-s-nvidia-stock

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My @baselightdb insight of the day! I was curious to know how the price of the nvidia stock evolved compared to the average price of new and used GPUs the last few years. It looks like the stock price over-performed the underlying product :)

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Look at the really cool feature that the @BaselightDB team has just released. Now you can see the chart from the query link! 🤘 Here's one with a comparison of the number of companies that received the desired unicorn label per year. https://baselight.app/u/adlrocha/query/unicorns-by-country

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