1
00:00:04,450 --> 00:00:06,920
If you are a business
owner or senior manager,

2
00:00:07,180 --> 00:00:12,160
you probably have more enough about all
the wonderful opportunities awaiting

3
00:00:12,160 --> 00:00:14,640
you in the era digitalization, whether.

4
00:00:14,640 --> 00:00:17,800
It is big data cloud, data science,

5
00:00:18,090 --> 00:00:20,480
or whatever password
is currently trending.

6
00:00:21,010 --> 00:00:24,960
If you would like to use
someone dissecting these
clients and showing you what

7
00:00:24,960 --> 00:00:28,640
it actually takes to improve business
processes, you're in the right place.

8
00:00:29,190 --> 00:00:34,160
This is between data and risk where
we discuss real life examples of

9
00:00:34,160 --> 00:00:37,320
what works and what doesn't in
the world of business operations.

10
00:00:39,040 --> 00:00:39,600
Hello,

11
00:00:39,600 --> 00:00:44,320
and welcome to this introductory episode
of Between Data and Risk and Insightful

12
00:00:44,320 --> 00:00:48,640
podcast, bringing you a unique perspective
on business processes, data science,

13
00:00:48,640 --> 00:00:52,080
and risk management. I'm
your host, Dr. Maria Shian,

14
00:00:52,100 --> 00:00:55,720
and with me is my cohost,
Art Goya. Hello, Arturo.

15
00:00:55,720 --> 00:00:57,280
What are we planning to talk about?

16
00:00:58,090 --> 00:01:02,760
Uh, over the years, we've, uh, been
working with different clients in our, uh,

17
00:01:02,760 --> 00:01:06,480
company condition shared
Solutions, and we've got a, uh,

18
00:01:07,380 --> 00:01:10,920
ton of lessons learned
from, uh, various companies,

19
00:01:10,920 --> 00:01:13,160
various businesses about process design,

20
00:01:13,440 --> 00:01:16,760
about the use of data risk
management implementations,

21
00:01:17,420 --> 00:01:22,360
and we've seen repeating patterns
of, uh, issues cropping up,

22
00:01:22,490 --> 00:01:27,280
uh, of things that went well and
things that didn't go so well. Uh,

23
00:01:27,400 --> 00:01:32,040
we've seen some brilliant examples
of, uh, solving the problems, uh,

24
00:01:32,040 --> 00:01:34,800
that we think, uh, could really
be shared with our audience.

25
00:01:36,460 --> 00:01:38,210
So in the coming episodes,

26
00:01:38,220 --> 00:01:42,970
we will be having some brilliant guests
who will share with us their experience

27
00:01:43,060 --> 00:01:47,770
in running businesses and applying
data and risk to improve their

28
00:01:47,770 --> 00:01:49,610
operations. Uh,

29
00:01:49,780 --> 00:01:54,610
we will also talk about utilization

30
00:01:54,610 --> 00:01:58,290
of data and new emerging technologies.
In the spectrum of industries,

31
00:01:58,290 --> 00:02:02,250
we hope to be as industry
agnostic as possible.

32
00:02:02,900 --> 00:02:07,210
Uh, we will be interviewing seasoned
business people, uh, running, uh,

33
00:02:07,210 --> 00:02:11,330
big organizations, small organizations,
entrepreneurs who are just starting up,

34
00:02:12,100 --> 00:02:15,290
uh, and building their process.
Uh, from the ground up,

35
00:02:15,460 --> 00:02:20,290
we will be interviewing experts
able to share practical advice, uh,

36
00:02:20,460 --> 00:02:25,410
on, uh, their particular areas,
especially data risk, process design,

37
00:02:25,410 --> 00:02:26,243
process mapping.

38
00:02:26,560 --> 00:02:28,370
What, what is critical, I think,

39
00:02:28,370 --> 00:02:31,890
and it's worth mentioning is that we
will be talking mostly about practical

40
00:02:31,890 --> 00:02:35,570
solutions. We believe
in learning by doing,

41
00:02:35,570 --> 00:02:39,010
and we learned a lot by
doing a lot. And, uh,

42
00:02:39,010 --> 00:02:43,850
we want to share the practical
aspects of everything, but we will be,

43
00:02:44,100 --> 00:02:45,170
uh, discussing.

44
00:02:45,740 --> 00:02:50,450
Uh, so who is this podcast
aimed at? Uh, who's our,

45
00:02:50,580 --> 00:02:52,690
uh, audience that we're targeting?

46
00:02:53,620 --> 00:02:54,240
Oh,

47
00:02:54,240 --> 00:02:59,170
I think this podcast will appeal
to business owners and executives

48
00:02:59,460 --> 00:03:04,440
who want to find down to earth and
practical assessments of applications and

49
00:03:04,440 --> 00:03:08,240
limitations of trending solutions,
technologies, and paradigms.

50
00:03:09,060 --> 00:03:12,280
And why do you think it's
worth listening to us?

51
00:03:12,670 --> 00:03:17,480
Well, we've, we've got, uh, you've
got quite a pair of host here. Uh,

52
00:03:17,970 --> 00:03:21,640
my, uh, uh, co-host Dr. Maria Cak, uh,

53
00:03:21,650 --> 00:03:24,680
despite his best efforts,
uh, in the job market,

54
00:03:24,920 --> 00:03:28,640
still considers himself
a data scientist. Uh,

55
00:03:28,770 --> 00:03:32,920
he combines his scientific background
with industrial experience,

56
00:03:33,230 --> 00:03:37,320
used to be a science director, uh,
in a private research institute,

57
00:03:37,390 --> 00:03:41,600
a data scientist in, uh,
for 500 companies. Uh,

58
00:03:41,600 --> 00:03:46,080
author of the first published
peer-reviewed model of Covid 19

59
00:03:46,150 --> 00:03:50,000
Global Spread. Uh, recently coth,

60
00:03:50,000 --> 00:03:54,040
author of the first book on practical
implementation of new data architecture,

61
00:03:54,170 --> 00:03:57,080
uh, data mesh in action, uh,

62
00:03:57,080 --> 00:04:01,280
as well as a coth author
with his wife, uh, of, uh,

63
00:04:01,430 --> 00:04:05,080
a great book. No one has ever heard
of, uh, Pharmacon great novel.

64
00:04:05,190 --> 00:04:06,520
I really recommend you read it.

65
00:04:07,010 --> 00:04:08,760
Uh, my cohost Arthur Goya,

66
00:04:08,760 --> 00:04:13,160
even though he's an IT person by
education training and at heart,

67
00:04:13,250 --> 00:04:17,800
he found himself working as a trader
in equity markets, uh, including,

68
00:04:18,090 --> 00:04:21,840
uh, 2008. Uh, but even then,

69
00:04:22,130 --> 00:04:26,280
he earned more money than he
lost for his employer. Uh,

70
00:04:26,280 --> 00:04:30,840
he then became chief risk officer
in one of the tier one banks,

71
00:04:31,580 --> 00:04:35,800
and then he decided to become his own
boss and help people with his experience.

72
00:04:37,570 --> 00:04:41,760
As we mentioned, we ran the consulting
company condition shared solutions, uh,

73
00:04:41,760 --> 00:04:45,840
where we help our clients
streamline processes, uh,

74
00:04:46,240 --> 00:04:49,600
increase operational efficiency
and build operational resilience.

75
00:04:50,410 --> 00:04:53,960
So, Arthur, when and where people
will be able to find our podcasts.

76
00:04:54,060 --> 00:04:59,040
You can find new episodes,
uh, every Friday on your, uh,

77
00:04:59,640 --> 00:05:03,040
favorite podcast, uh,
um, hosting platform,

78
00:05:03,090 --> 00:05:06,800
as well as on Cognition
dot llc slash podcast.

79
00:05:07,810 --> 00:05:11,360
Uh, this Friday actually,
we plan to release, uh,

80
00:05:11,360 --> 00:05:16,320
the first three episodes all at once so
you can, uh, really get stuck into it.

81
00:05:16,330 --> 00:05:19,800
Uh, listen to what we have to
say and, uh, judge for yourself.

82
00:05:20,450 --> 00:05:23,200
On our website, Cognition Dot llc.

83
00:05:23,200 --> 00:05:27,800
We also share information about other
events that we organize, Uh, an example,

84
00:05:28,450 --> 00:05:31,360
uh, round tables, which I
have a pleasure to host,

85
00:05:31,480 --> 00:05:36,240
where we invite brilliant
people to share their

86
00:05:36,240 --> 00:05:37,320
insights and experiences.

87
00:05:38,850 --> 00:05:43,120
Uh, we want this podcast to become,
uh, part of something bigger, uh,

88
00:05:43,120 --> 00:05:46,920
serve our audience with
real, uh, actionable,

89
00:05:46,920 --> 00:05:49,120
practical insights. Uh,

90
00:05:49,120 --> 00:05:52,120
that's why we encourage you
to get in touch with us.

91
00:05:52,250 --> 00:05:56,920
If you would like us to tackle specific
subjects, uh, invite specific, uh,

92
00:05:57,170 --> 00:06:01,360
experts or if you yourself
would like to appear and, uh,

93
00:06:01,360 --> 00:06:04,360
share your experience with us
and with, uh, our audience.

94
00:06:05,210 --> 00:06:09,920
We want this place to be your
new favorite place to learn about

95
00:06:10,280 --> 00:06:13,400
business processes, about
practicalities of, uh,

96
00:06:13,400 --> 00:06:16,640
data and risk implementation
in the business.

97
00:06:18,050 --> 00:06:21,080
Uh, we'd like to pay
particular thanks to Jamie J.

98
00:06:21,080 --> 00:06:26,080
Author of Quit Repeating yourself and
founder of Bottleneck Distant Assistance,

99
00:06:26,500 --> 00:06:31,040
who shared with us his experience and
invaluable insight into how to go about

100
00:06:31,040 --> 00:06:34,360
preparing a podcast. Make
sure to check out his, uh,

101
00:06:34,360 --> 00:06:37,640
show live with bottleneck
on bottleneck.online.

102
00:06:38,910 --> 00:06:43,780
So please remember to subscribe on your
favorite podcast platform or on our

103
00:06:43,780 --> 00:06:48,540
website, Cognition Adult LLC slash
podcasts, so you never miss an episode.

104
00:06:48,540 --> 00:06:50,180
Enjoy listening and goodbye.

