WEBVTT

1
00:00:00.017 --> 00:00:02.600
(upbeat music)

2
00:00:04.770 --> 00:00:09.390
- Thank you Jonas from BCG,
Nick and Mike from BMW.

3
00:00:09.390 --> 00:00:10.260
Jonas, tell me a little bit

4
00:00:10.260 --> 00:00:13.410
about how you all approached
solving this problem.

5
00:00:13.410 --> 00:00:14.970
- Sure, sure. Happy to.

6
00:00:14.970 --> 00:00:16.740
So initially what we actually did is

7
00:00:16.740 --> 00:00:20.580
that we assembled an
interdisciplinary team

8
00:00:20.580 --> 00:00:23.220
and made sure that we
had all the right experts

9
00:00:23.220 --> 00:00:24.390
at the table from the start.

10
00:00:24.390 --> 00:00:26.730
So that included the business,

11
00:00:26.730 --> 00:00:27.840
it included the DEF team,

12
00:00:27.840 --> 00:00:31.740
which then further kind of had
data scientists from both BMW

13
00:00:31.740 --> 00:00:34.380
and from the BCG Gamma
side, as well as then

14
00:00:34.380 --> 00:00:36.810
the the people who will be
actually operating the solution

15
00:00:36.810 --> 00:00:40.080
both from the business side
and the technical side.

16
00:00:40.080 --> 00:00:42.180
And so once we had all the
relevant people involved,

17
00:00:42.180 --> 00:00:45.840
we went into gathering
the business requirements

18
00:00:45.840 --> 00:00:50.460
for the solution, so that, for
example, addressed what kind

19
00:00:50.460 --> 00:00:52.680
of forecast horizon do
we actually need to cover

20
00:00:52.680 --> 00:00:53.982
with this solution.
- Yeah.

21
00:00:53.982 --> 00:00:56.565
(upbeat music)