1
00:00:05,370 --> 00:00:12,120
In this lesson, we are going to talk about use cases for LM applications in startups.

2
00:00:17,840 --> 00:00:28,100
So if you take a look at the book, A 100 AI startups, or even faster if you go to our to our website,

3
00:00:28,100 --> 00:00:36,650
AI accelerator.com and you go to the use cases section or even the blog, you are going to find a lot

4
00:00:36,650 --> 00:00:46,520
of real use cases of LM applications for startups and also corporations in the enterprise, uh, sector.

5
00:00:46,520 --> 00:00:55,160
But if you go to, for example, I'm right now reading the use cases section of our website, and here

6
00:00:55,160 --> 00:01:00,260
you have some articles highlighting real cases.

7
00:01:00,320 --> 00:01:05,480
Uh, in startups, for example, I'm going to read just the title of this articles.

8
00:01:06,190 --> 00:01:13,600
What if an artificial intelligence agent could handle all the bank paperwork?

9
00:01:14,200 --> 00:01:15,460
These are real case.

10
00:01:16,180 --> 00:01:24,880
Another title, an artificial intelligence agent, saves 60% of the work for the auditor.

11
00:01:25,670 --> 00:01:28,610
Is an article about another real case.

12
00:01:29,180 --> 00:01:30,080
Another one?

13
00:01:30,080 --> 00:01:35,510
Your new doctor is an artificial intelligence agent.

14
00:01:36,110 --> 00:01:37,610
This is another real case.

15
00:01:37,610 --> 00:01:39,530
You have the full article here.

16
00:01:40,010 --> 00:01:40,940
Another one?

17
00:01:40,940 --> 00:01:45,710
An artificial intelligence agent takes over.

18
00:01:45,740 --> 00:01:49,340
End to end testing for software applications.

19
00:01:50,280 --> 00:01:51,360
Another real case.

20
00:01:52,380 --> 00:01:53,220
Another one.

21
00:01:53,220 --> 00:02:00,120
What if the next employee in your finance department was an artificial intelligence agent?

22
00:02:01,200 --> 00:02:01,950
Real case.

23
00:02:02,620 --> 00:02:10,060
Another one, an artificial intelligence agent, to multiply the productivity of the customer support

24
00:02:10,060 --> 00:02:11,050
department.

25
00:02:12,160 --> 00:02:20,110
Another article, an artificial intelligence agent to find opportunities to contract with the government.

26
00:02:22,100 --> 00:02:27,620
Another article getting new leads with an artificial intelligence agent.

27
00:02:28,530 --> 00:02:29,670
Another article.

28
00:02:29,670 --> 00:02:34,200
Your child's new tutor is an artificial intelligence agent.

29
00:02:34,230 --> 00:02:36,090
All these are real cases.

30
00:02:36,540 --> 00:02:44,820
All these are a cases you will find also in the book 100 AI startups.

31
00:02:45,360 --> 00:02:58,050
All these are companies that have already earned more than $500,000 before their first year.

32
00:02:58,870 --> 00:02:59,920
Of operation.

33
00:02:59,920 --> 00:03:06,340
Okay, so I think it's going to be super interesting for you, even if you are not interested in the

34
00:03:06,340 --> 00:03:08,740
startup world to.

35
00:03:09,600 --> 00:03:18,840
Look at all these use cases, because you are going to find a lot of ideas for your company, for your

36
00:03:18,840 --> 00:03:26,250
consulting firm, for your current customers, for your job opportunities, whatever.

37
00:03:26,250 --> 00:03:35,040
So very interesting to get familiar with what is happening in the real world with LM applications.

38
00:03:35,040 --> 00:03:35,640
Okay.

39
00:03:38,080 --> 00:03:47,620
In the next lesson, we are going to talk a little bit about how Elm applications are transforming professions.

40
00:03:47,620 --> 00:03:55,720
So I have already told you about the software developer profession or software engineer or whatever

41
00:03:55,720 --> 00:03:56,860
you want to call it.

42
00:03:57,010 --> 00:04:01,120
It has changed absolutely, in a radical way.

43
00:04:01,120 --> 00:04:07,210
With the introduction of Elm applications, we are going to see a couple of other professions just for

44
00:04:07,210 --> 00:04:14,890
you to understand the impact of Elm applications, what you are going to learn how to build in the real

45
00:04:14,890 --> 00:04:15,460
world.

