This presentation covers how Artificial intelligence (AI) can be used to help bring public information closer to residents of towns and cities to help communities be more versed in local issues and happenings. It starts with the existing problems and moves to how to use AI to make things just a little bit better for everyone.
From a conceptual perspective it reviews how to grow the people's confidence using publicly available information summarized and presented using basic concepts like bibliographies.
From a technical standpoint the solution involves leveraging Retrieval-Augmented Generation (RAG) to curate and orchestrate public data, its specific attributes, and the possible distribution and consumption models for the public.
Apparently everyone has the word "Agile" on their resume. Not so fast! The spirit of this episode is reviewing the specifics of Agile, Scrum, Kanban, and the history behind them. Also included is the value of each process and when they do well and when they can be a hindrance.
If you have Agile on your resume, please watch. This video will definitely help you better understand what Agile is and why its used.
Sure, I completely get it. However, does that mean bitmaps have been fully explored? For example, OLAP is only growing as a market as the need for realtime analysis on the most fresh data. I mean, we never going to have 'less' data nor are we ever going to seek results 'slower'. Where I am going with this, utilizing technologies like bitmaps in OLAP services is an area I believe will see continued growth. While Lucene is a known commodity, I think we can agree it hasn't solved the sector, right?
Thank you for sharing this. As someone who is working to learn more about bitmaps, id like to ask how you came across this? Is there a specific community or other that you follow? Thanks!
I think it's fair to say that the use cases for bitmaps have not yet been fully explored. I believe their use in areas of analytics and OLAP/RTOLAP will continue to grow as the desire to infer and target demo's across households increases.
So are you saying that the data is stored in categories which allows for those types of lookups to run faster? Do you have specifics on how the design of a bitmap based database achieves this? How does it maintain these relationships? Just through 0 and 1's?
I guess it's easy for me to visualize both row and column based. Im struggling with the bitmaps concept.
I've seen bitmaps mentioned a number of times lately. I must admit it is not something I am all that familiar with. Can someone explain to me why bitmaps are more valuable than standard column oriented databases?
I havn't wrapped my head around how this helps speed up queries while data is being ingested.
Good response. I believe the right counter is "diminishing returns".
Yes, the bad actor can break in my door, but they actually have to do it. Walking through without a door is sooooo much easier.
But then when they get inside, what will they find? Will I have silver and gold bars? Or will it be random HN posts?
My advice is to take reasonable precautions. However, if you have your entire life savings in an offshore back account with Venmo access which doesn't require 2FA ... then yea, I would worry.
I believe things that are valuable, like truly valuable, should be hard to change. Like liquidating a 401k life savings shouldn't be a couple mouse clicks. It should be a long and hard process because you are prolly only going to once or twice in your life. There is nothing wrong IMO with requiring being present at a bank to perform significant value transfers. Sure, wouldn't it be nice to only have to click a button? Sure ... but requiring physical (think MFA) slows the process down for the sake of security.
Im not a conspiracy theorist or eternal cynic, but yes to the above stuff. I simply dont trust anyone. In the software world its the same concept as never trusting anything client side.
video link: starts at 103 seconds (1:43) - https://www.youtube.com/watch?v=I_8M9feh_KA&t=103s
This presentation covers how Artificial intelligence (AI) can be used to help bring public information closer to residents of towns and cities to help communities be more versed in local issues and happenings. It starts with the existing problems and moves to how to use AI to make things just a little bit better for everyone.
From a conceptual perspective it reviews how to grow the people's confidence using publicly available information summarized and presented using basic concepts like bibliographies.
From a technical standpoint the solution involves leveraging Retrieval-Augmented Generation (RAG) to curate and orchestrate public data, its specific attributes, and the possible distribution and consumption models for the public.