WEBVTT

1
00:00:00.150 --> 00:00:01.890
Without a data foundation

2
00:00:01.890 --> 00:00:04.290
and aligned data across the processes,

3
00:00:04.290 --> 00:00:06.210
scaling AI will not be possible.

4
00:00:06.210 --> 00:00:07.680
It will be point solutions

5
00:00:07.680 --> 00:00:10.950
and not driving the outcomes
the C-level will expect.

6
00:00:10.950 --> 00:00:12.960
Happy to be here with you, Andre,

7
00:00:12.960 --> 00:00:14.760
in early morning Davos

8
00:00:14.760 --> 00:00:16.860
to discuss about AI.

9
00:00:16.860 --> 00:00:21.120
A lot is said about, we need
to scale, we need to scale.

10
00:00:21.120 --> 00:00:22.380
From your point of view,

11
00:00:22.380 --> 00:00:25.470
what would be the key misconceptions

12
00:00:25.470 --> 00:00:28.500
when it comes to scaling AI?

13
00:00:28.500 --> 00:00:30.600
Scaling AI is not a matter of tool.

14
00:00:30.600 --> 00:00:33.660
It's really defining the
use cases the right way

15
00:00:33.660 --> 00:00:37.860
and, even more important, to
have a solid data foundation.

16
00:00:37.860 --> 00:00:39.600
Without a data foundation

17
00:00:39.600 --> 00:00:42.000
and aligned data across the processes,

18
00:00:42.000 --> 00:00:43.890
scaling AI will not be possible.

19
00:00:43.890 --> 00:00:45.420
It will be point solutions

20
00:00:45.420 --> 00:00:48.630
and not driving the outcomes
the C-level will expect.

21
00:00:48.630 --> 00:00:49.710
So on the one hand,

22
00:00:49.710 --> 00:00:51.300
data are super important

23
00:00:51.300 --> 00:00:52.590
from where you sit.

24
00:00:52.590 --> 00:00:54.120
At the other end of the spectrum,

25
00:00:54.120 --> 00:00:55.980
we have people.

26
00:00:55.980 --> 00:00:57.360
And in your view,

27
00:00:57.360 --> 00:01:02.070
how is AI impacting
upskilling, reskilling,

28
00:01:02.070 --> 00:01:04.350
and all those people topics?

29
00:01:04.350 --> 00:01:06.510
Even in developers, very technical people,

30
00:01:06.510 --> 00:01:09.150
they need to reskill how they
write code in the future.

31
00:01:09.150 --> 00:01:13.650
So it's a massive thing,
that reskilling factor

32
00:01:13.650 --> 00:01:17.460
across all areas in the
company needs to happen.

33
00:01:17.460 --> 00:01:20.880
And I mean the good thing is
AI will also support this.

34
00:01:20.880 --> 00:01:22.980
You can do reskilling during the job.

35
00:01:22.980 --> 00:01:24.150
It's more personalized.

36
00:01:24.150 --> 00:01:26.910
There are a lot of tools
out there you can use

37
00:01:26.910 --> 00:01:28.680
to reskill your people,

38
00:01:28.680 --> 00:01:32.220
but it will be a tremendous
shift also in the workforce.

39
00:01:32.220 --> 00:01:35.880
Pace of change has never
been as fast as now.

40
00:01:35.880 --> 00:01:38.790
And so, the people really
need to do this reskilling

41
00:01:38.790 --> 00:01:41.610
on a continuous way during their work.

42
00:01:41.610 --> 00:01:42.930
So, massive reskilling

43
00:01:42.930 --> 00:01:44.370
to embrace AI,

44
00:01:44.370 --> 00:01:46.170
using AI to reskill.

45
00:01:46.170 --> 00:01:48.600
Thank you very much, Andre,
for sharing your thoughts.

46
00:01:48.600 --> 00:01:49.678
Thank you.

47
00:01:49.678 --> 00:01:53.261
(logo humming and chiming)