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i've thought that i was watching a TED-ed show

WOW this video deserves more views & likes than this. What a great explaination with catchy animations 👏👏

I use to work for Travelport, Sabre. A total of 24 years. Both comprehensive and fun jobs. Front office and backoffice.

Flixbus in the United States is just awful. Their business model leave customers high and dry. Pick ups and drop offs in some major cities are dangerous and unsafe. Also, buses are not always clean and on time.

Thanks a lot for simplifying various revenue models! 🫱🏻‍🫲🏾 Love from India! 🇮🇳🖤

of course youtube recommending me this video after my software project management exam is over

small point, people started raising the alarms over the y2k problem in the early 1970s, it just didn't get the name till the 1990s. the actual y2k problem was not that the program would fail for the year 2000, but that it was known that 2 digits only gave you a 100 year window, and nobody bothered to address this technical debt for decades, meaning it then all had to be done in a rush.

Amazing video, didn't expect that good of an explanation of the topic, thank you very much!

Neat!, thx for the information

The word is Nuclear (new-clee-urr). Not nucular (new -kew-lur). Fix your George Bush dyslexia.

pretty useful information, thank you!

Wow that was amazing! Subscribed x

this is the most underrated RUclips Channel, love it👍🏻

Nice video!

You got my subscription just after this one video! Such rich content!

I want to be free to create my own airline, set my own standards and my own price, without government central planners in the way. Consumers are grown up enough to decide by themselves which companies are safest and most efficient.

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Thank you for the Video, Best explanation on internet.

You really made it so easy to understand! Huge thanks!

Love the depth of this AI content, keep them coming, AltexSoft! For those exploring email verifications, FilterBounce is a steal. It keeps my bounce rate impressively low, under 1%. Feels satisfying knowing my data is accurate. The initial 300 free verifications are more than enough to gauge its efficiency. A worthy addition at just $10 per month. Check it out for your campaigns, you would not regret it.

Wow, I did not realize how transformative AI can be for business until I watched this! Speaking of transformations, FilterBounce has drastically improved my email campaigns. Their real-time verification API is spot on and keeps my bounce rate below 1%. This tool is a real gem, especially for tricky domains. It is cost-effective too, at just $10 a month with 300 free verifications! Perfect for ensuring your emails hit the right inboxes.

Generative AI opens so many doors, thanks AltexSoft for this great explainer! For anyone scaling their email marketing, give DoYouMail a shot. The ease of setting up dedicated IPs and unlimited domains is unparalleled. My email engagement has spiked ever since I switched. For just $40/month, it is more than worth it. Maybe they can do a video on this too?

Fantastic breakdown on AI use cases, Altex. For those doing cold outreach, I highly recommend FilterBounce. Been using it for a bit now and their accurate verification ensures that my emails reach the intended inbox. It is particularly effective with tricky domains and at $10/month, it is a no-brainer. Maintaining low bounce rates has never been easier.

how breathtaking job, so long,😮

So intuitive! Something that puzzled me for a long time is how most of operational data get dumped in the bin because of cost reasons. Only around 5% is kept and sent to a data warehouse for batch analytics via a complex ETL/ELT process (Complexity, consistency and cost issue). So much insights are wasted IMO. Now that Kafka has the ability to store data forever for cheap (cold storage), we are seeing a convergence happening between the operational and analytical world where the idea is to bring analysts where the data was ingested (so Kafka as the source). This new approach led by the likes of Confluent's Tableflow and Streambased opens up a much greater volume of data and new data sources. This is where the future of analytics is heading to!

Captivating, Informative and well explained

WOW. Best video on the subject I’ve ever seen

Not convinced that the rpc definition is correct.

Great work done by the team who has made this video. Very informative.

Great video. Thank you so much

Thanks, learning something new!

Awesome!!!!!

This was exactly what I was looking for and needed. So useful. Thank you

I think, for Fuel cost right now in 40% of total cost

"discredited waterfall model" I stopped listening after that. Agile promised everything and turned into micromanagement in the real world. Luckily it's dying out.

More videosssssssssss pleaseee

If I've watched this yesterday morning, I would have nailed my trainee job interview in the afternoon. :D Amazing video! Thanks!

Is this the guy from ask game dev?

It would be great if you updated this material to 2024 addressing ML /AI . Thank you

Read the standish repeot about massive industry wide software delivery failures using the practices advocated in this video. Id suggest doing a video on Cynefin instead. Peoduct development is uncertain and modern sodtware is highly complex and documentation is immeditely out of date. When your planned product with roadmaps gets in front of users it will be a failure because its wrong more far often than not. We need to build adaptive architectures for adaptive products for teams to learn what the right thing to build is. Thats a radically different to what is being proposed here which is hust waterfall. Roadmaps are waterfall

This video is amazing! I really understood what is Machine Learning. Keep it going!!🖤

Best videos ever!!

This is the best video on this topic! Kudos

what an amazing video, well done!

damnnn you explain every things so clearly and easily to enderstand and help me a lot ( started learn data engineer )

I love the framing using Rick and Morty

...Then, in the end, instead of reading the documentation I had written, people always came asking me directly. Moreover, a new version of the project started with another UI + new OO technology (previously only functional programming), no one had even the idea, nor to read the docs, neither to ask me how things had been done previously. Meanwhile a few colleagues and I were maintaining the old app, because we were more valuable for getting money from clients, that financed investments. So the new team encountered the same problems and made even bigger mistakes. Later, one forgotten feature revealed mandatory. I gave them the doc, applied a few modifications to make the feature work (parameters basically) that took me less than a day. And the rest required them 3 or 4 months of development to get the UI + OO to work. Too bad. Doc is nothing. Keeping memory in an active state is crucial. You simply cannot keep up with the doc when constantly working in a hurry. And most human people are lazy when it comes to search and even read the docs. Talking and learning from people who know is not as bad a solution. It is the way I had learned how the older older software was functioning. Except I incrementally kept things in my memory. Oh, and for fundamental complex dynamic features, you simply cannot learn them in one time/one doc. You need multiple "courses", each next one explaining that the previous one was not fully accurate. Imagine changing a thing in those features and all consequences on the docs...

I thought one of the core tenants of agile is "communication over documentation".

Perfect video honestly! Thank you so much.

Love the form! 👍🏻