WhatsApp Audio 2026-05-11 at 23.45.34

Altaveus

• Speaker 1 0:09
• Speaker 2 35:45
• Speaker 3 1:05:07

1. 0:09

   Capítol 1: Anything, don't worry. 302s · Speaker 1

   Anything, don't worry. Okay, welcome everyone of you to the International Days organized by Business and Management at Archibaldi University of Applied Sciences. This is already the port for this edition about gifts you can definitely be aw…

2. 5:12

   Capítol 2: There's huge gaps, including the weather. 302s · Speaker 1

   There's huge gaps, including the weather. It makes you very depressed. It makes you very sad. So if you're thinking to exchange the UK to study for months, or for a semester that's fine, for a year, it's going to make you cry during the win…

3. 10:14

   Capítol 3: So when you look at gut feelings, without evidence, without proof, you make decisions, you don't have the rationale. 301s · Speaker 1

   So when you look at gut feelings, without evidence, without proof, you make decisions, you don't have the rationale. Sometimes you don't even have the logic. You just feel, okay, I think that's this what I want to do. I just do it. Just lik…

4. 15:15

   Capítol 4: you, that's good enough for you to make the right decision or you need something else? 301s · Speaker 1

   you, that's good enough for you to make the right decision or you need something else? Yes? You need to understand what the data is actually showing you. So how do you understand the data actually showing you? What you need to do before tha…

5. 20:17

   Capítol 5: Let me give a very interesting story. 301s · Speaker 1

   Let me give a very interesting story. Interesting, but not the best, all right? FedEx. We all know FedEx. And there are three big companies in the world. FedEx, DHL, and UPS. Let me give a bit of history about this company. UPS was founded …

6. 25:18

   Capítol 6: Hang on, remember this. 300s · Speaker 1

   Hang on, remember this. Don't worry, you put your hand, I'll come to you. He tried, he tried to knock on the door, okay, on all the potential investors plus the banks. He received rejection after rejection. Right? So, yes. Shut up. You have…

7. 30:18

   Capítol 7: look at Netflix, you look online, look at Netflix, for example, in terms of job, they're hiring a lot of data analysts. 300s · Speaker 1

   look at Netflix, you look online, look at Netflix, for example, in terms of job, they're hiring a lot of data analysts. They're hiring a lot of data analysts. Because data is gold. Seriously. So for example, if you look at CheckDB, OpenAI, …

8. 35:19

   Capítol 8: data does the world produce every minute of the day can you want to quantify you can't you no longer can quantify like how much data does the world produce every minute every day because it's just too much we generate data Every single minute. 300s · Speaker 1

   data does the world produce every minute of the day can you want to quantify you can't you no longer can quantify like how much data does the world produce every minute every day because it's just too much we generate data Every single minu…

9. 40:19

   Capítol 9: data. Data is always unstructured. 303s · Speaker 1

   data. Data is always unstructured. Like, whatever data, for example, that we generated, thing that you posted online, is considered unstructured. This is the reason why to make informed decision, you have the data, but having data that's no…

10. 45:22

    Capítol 10: maybe it doesn't sound cool enough. 300s · Speaker 1

    maybe it doesn't sound cool enough. So, they started to predict. predictions. Just like looking into the crystal ball, what is going to happen next. And from there on, it helps them to predict what happens next. As a consumer, how much are …

11. 50:22

    Capítol 11: Anyone? Yes? 302s · Speaker 1

    Anyone? Yes? Employees are expensive and AI could replace them. Yep, partially. Anyone want to try? Oh god, you guys are so funny. You know, I'm almost like knocking the wall in it. Can you tell me the answer? You guys are very, very shy. I…

12. 55:25

    Capítol 12: And you want the best price. 300s · Speaker 1

    And you want the best price. For the driver, if you're a driver, what do you want? You want to make as many trips as possible. Make money. And all this happens in real time. That requires a lot of calculations in time. So Uber, how Uber wor…

13. 1:00:26

    Capítol 13: they are not doing any optimizations. 272s · Speaker 1

    they are not doing any optimizations. They are not keeping everyone happy. Why? Because they are things that we don't see. the traffic conditions. If you can't make a left turn, the traffic is bad, so sending driver B to pick up customer B …

14. 1:05:00

    Capítol 14: how things work. 90s · Speaker 2

    how things work. For example, in Manhattan, for example, where is the demand? And where is the peak that happens from time to time, hour to hour? What time? Where time is low peak? So they depend heavily on data. That's how important data i…

15. 1:06:30

    Capítol 15: we have. So at least for a few minutes, utilize it. 300s · Speaker 1

    we have. So at least for a few minutes, utilize it. So what are you going to do? Don't try to sneak your smartphone out, okay? So, what strategies Uber could use to improve the decision making? Yes, I like it. That's a bit of invaded privac…

16. 1:11:30

    Capítol 16: let me show you something. 301s · Speaker 1

    let me show you something. Okay. What you see right in front of you, this is the Google Merchandise Store. Google. Real store. If you are big Google fan, you can go on Google Merchandise Store to buy the foodies, the tumblers, the cup, what…

17. 1:16:31

    Capítol 17: So, one of the modules that I coordinate, they learn a lot about Google Analytics, data analytics, Google Ads, you name it. 20s · Speaker 1

    So, one of the modules that I coordinate, they learn a lot about Google Analytics, data analytics, Google Ads, you name it. So, data is very, very important. Now, before you go, you want the lecture notes, yeah? So, don't worry.