النمذجة الأولية لاختبار الفكرة قبل تطويرها — Transcript
Full transcript
- 0:47The Most Gracious, the Most Merciful.
- 0:49Praise be to God, Lord of the Worlds. A
- 0:51training session for the participants
- 0:53of the Saif competition. We ask God
- 0:57Almighty for success for everyone. With
- 1:01you is your brother Sahbani, the
- 1:04presenter. And God willing, there will
- 1:08be benefit for everyone from this
- 1:10session. Let us begin now with the
- 1:23first slide in this presentation. We
- 1:33will try to prototype from the
- 1:41perspective of late error. Initially,
- 1:45we can reach the idea in a way...If we
- 2:01have, for example, a model...Lord of
- 2:20the Worlds. Peace be upon him. Muhammad
- 2:27and his family and all his companions.
- 2:31Training session for the competition
- 2:33participants. The title of this session
- 2:40will be testing the idea and developing
- 2:49it. And we ask...Defining prototyping
- 2:57to test the idea. So that, God willing,
- 3:02it will suit everyone's presentation in
- 3:05this competition. Let us begin, with
- 3:09the blessing of God, in...The agenda of
- 3:16the presentation or the main agenda.
- 3:23First, why is prototyping important?
- 3:28Definition. The cost of late errors.
- 3:33And the meaning. The model, we try to
- 3:36follow a methodology. We will also
- 3:40discuss choosing suitable levels of
- 3:45accuracy. And it will be, God willing,
- 3:52very important to shed light on first.
- 3:59And learning...God, the modeling cycle
- 4:05and how to test effectively.
- 4:11Highlighting security and care. In
- 4:13terms of selling and the threat
- 4:16responsible for every aspect. We will
- 4:21conclude this session, God willing,
- 4:22with an application. There will be a
- 4:26process and a roadmap. For the coming
- 4:29weeks, God willing. Let us begin. With
- 4:38the blessing of God, in the question. I
- 4:48think it is very important to...any...
- 5:00define it in a simple way, which is
- 5:08that a prototype is a version in your
- 5:11hand through which you can answer
- 5:13before investing time and money. With a
- 5:19prototype, you can understand the idea
- 5:22from specific aspects, thereby
- 5:24shortening the path before investing
- 5:27time, money, and also effort in
- 5:29programming the idea. If you look at
- 5:34the figure now. Simply put, we try, in
- 5:40the beginning, the idea is very simple.
- 5:46The cost is almost zero. After moving
- 5:49to the prototype, the cost increases
- 5:51very slightly. After you build the idea
- 5:56as it was. Higher than before in
- 6:00launching the idea. It will be at a
- 6:04cost, approximately...To a limit that
- 6:07reflects aspects. The idea as a
- 6:11complete idea or implemented in reality
- 6:15. Therefore, if you notice now on the
- 6:19right, we have three colors. The first:
- 6:27we try to replace opinions with
- 6:30evidence, which is the way we use the
- 6:34prototype, also making the idea visible
- 6:39to others. If the idea is only
- 6:44theoretical or drawn on paper, it might
- 6:51not be convincing, while if it is a
- 6:55model...a vision of reality. Also among
- 7:01the important things is early error and
- 7:04fast learning, and also...lower cost,
- 7:10which is one of the most important
- 7:12features that distinguish the prototype
- 7:15. Therefore, in the prototype, error is
- 7:21one of the stages of errors and knowing
- 7:25the extent through which you can know
- 7:28the dimensions of the idea in terms of
- 7:32potential errors. You learn quickly by
- 7:35visualizing the idea, and the cost is
- 7:39lower than...construction. We have now,
- 7:47if...a very important thing, which is
- 7:53four concepts that must be highlighted.
- 7:57The first is the prototype, which is
- 8:00defined as a simplified version built
- 8:03to test a question...The second, third,
- 8:09and fourth, then I will return to the
- 8:10first. Let's see the second, which is
- 8:12proof. Okay. Of course, in English, it
- 8:14is the MVP. Of course, it turns out
- 8:17technically that the MVP is the Minimum
- 8:20Viable Product. It is considered the
- 8:23smallest version the end-user utilizes.
- 8:26It is the pilot project. A limited run
- 8:30in a real environment with real users.
- 8:32Okay, let's go back to the first, the
- 8:36prototype. Which is the base point we
- 8:39are discussing in this course. It is
- 8:43the simplified version. How can we
- 8:46define the simplified version? It is a
- 8:49version of the idea. Built for a
- 8:53specific test. Meaning If you had, for
- 8:58example. Performing, for example, a
- 9:02process. Scanning papers, a simple
- 9:06example if you now have the specific
- 9:09question: can I build an application
- 9:11for the paper scanning process? Then
- 9:15you build the prototype. That reflects
- 9:18this question. Or reflects an answer to
- 9:20this question. Excellent. Okay. The
- 9:24Proof of Concept is now moving to a
- 9:27step higher than the prototype. B From
- 9:34technical and other aspects. MVP is
- 9:38less than the pilot project. So it is
- 9:40considered a smaller version. The user
- 9:42uses it effectively. And you can,
- 9:46through the MVP, conduct an experiment,
- 9:49if you will, to know the users 'opinion
- 9:52. As for the pilot project, this is
- 9:58launched in its final version with real
- 10:02users, but for a limited time only. To
- 10:07know, for example, if you have an issue
- 10:10with scalability, which is the number
- 10:13of users using the system, or other
- 10:16possible dimensions. Okay, we have
- 10:25something important now, which is
- 10:28choosing. Of course, here we match, we
- 10:31try to match the level of fidelity and
- 10:34type with the question posed. So, by
- 10:37choosing the model and building it, you
- 10:41can match the fidelity and type with
- 10:44the question. Posed at the beginning.
- 10:48Okay, we have now. Low fidelity answers
- 10:53early questions, which is...The
- 10:58question is asked early on. The more
- 11:02the fidelity in building, that is the
- 11:05prototype, is more precise. Therefore,
- 11:10starting with paper. Uh. He. Starting
- 11:19with paper or an interactive model,
- 11:22only after testing before a test.
- 11:26Therefore, as a summary of this point.
- 11:31Starting, if you will, with sketching,
- 11:34then with a very simple interactive
- 11:37model. You cannot through it only know
- 11:42the dimensions of errors. More than
- 11:45that is testing. The basic idea. So
- 11:53through a model, you can more
- 11:56accurately, and also reflect it on the
- 11:59ground. Also, among the things that. We
- 12:04will shed light on. The drawing, and
- 12:06through it you can understand the idea
- 12:09and the experiment. Can the user use it
- 12:12? Or does the user actually need it?
- 12:16And the model which is. You will reach
- 12:20it is. Will it work? If we go back a
- 12:27little, does. Actually, for example, an
- 12:31app for scanning papers, meaning if we
- 12:34had, for example, a more precise
- 12:36example, for instance now in exams that
- 12:39are. Does the course professor really
- 12:44need an app? To scan. The exam papers,
- 12:49this question he applies. Now or
- 12:54something. And do users really need it,
- 12:59and does the application work
- 13:01effectively? This is considered part of
- 13:04the fidelity level we are discussing in
- 13:06this, or in this slide. In this slide,
- 13:09of course, we have the scale of
- 13:11fidelity levels. If you see with us in
- 13:13the drawing, if you notice from the
- 13:15right we have a drawing. And on the
- 13:17left is the model, the integrated model
- 13:21. So in the beginning, the drawing will
- 13:24be fast and cheap. Finally, we have
- 13:29what is most realistic, and undoubtedly
- 13:32, it will be higher in terms of cost.
- 13:36But in between is the interactive model
- 13:39. Passing through the effective model.
- 13:44Until we reach the integrated model.
- 13:47Now. The beginnings. Now, regarding the
- 13:53prototyping of the idea, we have an
- 13:56important point: choosing the right
- 14:00model for the project. We have four
- 14:05potential models: first, a solution;
- 14:08second, a dashboard; third, the
- 14:12internet of things; The fourth is a
- 14:15digital service. How can you apply,
- 14:19that is, that is, The appropriate model
- 14:23, or reflect the right model onto the
- 14:27idea or the project concept. If we
- 14:31start with the first, an AI solution or
- 14:34running the model on synthetic data and
- 14:36measuring accuracy, such as this one,
- 14:39where you have, for example, a specific
- 14:42dataset, it’s a process like a
- 14:44simulation for the project. Is this
- 14:48suitable for the project or not? Maybe,
- 14:51and maybe not. Why? Because some ideas
- 14:55are suited for the simulation process.
- 14:59But It is not necessarily for all
- 15:04models to be this way. Okay. If we move
- 15:08to the dashboard. It is, of course, an
- 15:12interactive screen with alerts and
- 15:14simulation data. The indicators give
- 15:15you, for example. For example, if your
- 15:18project is measuring, for instance,
- 15:21danger. Like, for instance. Like
- 15:33electricity wires. Electricity wires,
- 15:38for example, being high. In this case,
- 15:41you would have a decision to change.
- 15:45These wires might suit the dashboard.
- 15:50Simulation. Clear. Alright, now if you
- 16:08allow, let's look at another indicator.
- 31:29Greetings to you all, and good evening
- 31:32to everyone, and I welcome everyone
- 31:36again. Perhaps there was a connection
- 31:39issue a moment ago, but let’s begin.
- 31:42We will quickly repeat what we
- 31:44mentioned at the beginning so it is
- 31:46clearer. I welcome everyone to the
- 31:50training session for the SEIF
- 31:52competition participants, titled "
- 31:54Prototyping to Test Ideas Before
- 31:56Development," with your brother,
- 31:58Sulaiman Al-Suhaibani. We will be
- 32:01together, God willing, in this session.
- 32:03We will review some ideas and methods.
- 32:07That will enable the competition
- 32:10participant to present their idea well.
- 32:15And reduce possible errors as much as
- 32:18possible, God willing. Let's start,
- 32:21with God's blessing. A. In Agenda. The
- 32:34We will have, God willing, A. Themes.
- 32:45Or in this, we now have the first. Why
- 32:49prototyping? We will try through it, if
- 32:54. There is an error, to define the cost
- 32:58, and there will be. We will determine,
- 33:12God willing, the levels of accuracy and
- 33:14the types of projects suitable for each
- 33:16model. We have. Also, building, testing
- 33:24, testing, and learning. That is
- 33:35security. And artificial intelligence,
- 33:39there will be. Also, all this will have
- 33:42, God willing, a share in the themes of
- 33:45this session. We will also cover the
- 33:49application and the competition plan.
- 33:53From now until, God willing, the start
- 33:54of the competition. In a way. In a way,
- 33:58the way of. The session. God willing,
- 34:05we now move to the first or the
- 34:07beginning of these themes. Which is why
- 34:13. The prototype. A very important
- 34:21question. A. We will try through it. A.
- 34:34A. Knowing. The question. So. Basically
- 34:48, the idea is built on a specific
- 34:51question for the project. First, for
- 34:55time and money, and also for. Or the
- 35:00effort that will be exerted in.
- 35:06Prototyping. Therefore, the model is
- 35:12considered when things are. Unclear, or
- 35:18the features of errors are unclear. The
- 35:25prototype, you can through. It, a. The
- 35:30error more clearly, so now if you
- 35:32notice in this picture we have a
- 35:34simplification of what. Which is from
- 35:40the idea to the launch of the project
- 35:43completely. The idea is zero. But in
- 35:48the prototype. Its cost is simple,
- 35:53initially the cost was higher, after
- 35:57the launch it arrived, so if we notice
- 36:02now the prototype is an important step
- 36:07in forming the project initially, so
- 36:11now I The prototype we replace the idea
- 36:20with, we have evidence more than just
- 36:24being theoretical or An idea without
- 36:32any, also it is possible to make
- 36:35mistakes early and learn the costs,
- 36:38these are considered important
- 36:41questions, why or The question of why
- 36:51The prototype Now to Now the prototype
- 37:06is considered a simplified version to
- 37:11Build, test, and a specific question
- 37:15While the proof of concept which we
- 37:18have, which is POC We have the MVP.
- 37:33Which is the fourth concept considered
- 37:36the minimum viable product. And smaller
- 37:40, the user uses the final version. The
- 37:44final version is the pilot project.
- 37:48This is considered a limited operation
- 37:52in a real environment with real users.
- 37:56So now from this Starting point, we
- 38:02notice that it is considered the
- 38:03simplified version. And which is number
- 38:06four, the pilot project is the final
- 38:08version. Okay, between them is the
- 38:11Proof of Concept and MVP as one of the
- 38:14stages. In building the project. Okay,
- 38:19we have now A Point. Important, which
- 38:34is if we choose, And we said in four
- 38:40now its choice. Choosing the model is
- 38:44considered in this stage. So now we
- 38:48will try the model, or if we say the
- 38:53most appropriate for. And we try to
- 38:59apply accuracy with the question raised
- 39:03. Every Project We have now applied
- 39:39accuracy, and it is very important.
- 39:54Okay, now, of course, due to the
- 39:56limited time. We will try now. We will
- 40:05try now. God willing. Which is this
- 40:10workshop quickly. Even, God willing,
- 40:19due to the weak network. So, God
- 40:22willing, now we will conclude The
- 40:29session quickly. So that A a God
- 40:58willing. The colleagues will send you
- 41:01what is Once again. And God willing,
- 41:08the benefit will be there with the
- 41:10recording and the slides Regarding the
- 41:16session. Peace, mercy, and blessings of
- 41:22God be upon you.
About this transcript
This page contains the full transcript of النمذجة الأولية لاختبار الفكرة قبل تطويرها by أكاديمية طويق, generated from the public captions YouTube serves with the video. The transcript has 2,110 words across 320 segments, with the original timestamps preserved so you can click any line to jump to that moment in the embedded player.
What you can do with it
Use the transcript to take notes, quote the speaker, build a study guide, generate a summary with ChatGPT or Claude via the YouTube Summary tool, or export it as a timed subtitle file with YouTube to SRT. You can also re-open it in the transcriber to choose a caption track available on the video.
Free YouTube transcript tool
YouTube2Text is a free YouTube transcript generator — no signup, no daily limit. Paste any YouTube link and get the full transcript instantly, with timestamps, click-to-jump, caption language selection, AI prompts for ChatGPT, Claude, and Gemini, and exports to TXT, SRT, VTT, or Markdown.