digital manufacturing it's all about flexibility, adoption...
TRANSCRIPT
Digital Manufacturing – it's all about flexibility, adoption of edge intelligence with AI & economics
Matthias Roese, Chief Technologist, Global Manufacturing, Automotive & IoT, Hewlett Packard Enterprise
Data can transform businessesUnlocked through AI and advanced analytics
Planned AI investments next 12 mths
0.48% of revenue
For comparison – average IT spending in the manufacturing industry:
1.95% of revenue
63% say AI will not be a Job KillerNew jobs created by AI will balance or outweigh jobs
made redundant by AI
n= 858
Application areas and goals of AI in the industrial sector
8
12
17
19
20
21
24
24
29
32
34
38
Procurement
Marketing
Supply chain…
Production planning
Sales
Demand forecasting
Quality assurance
Product design and…
Services
Operations
Maintenance
Research & development
31
32
34
37
40
41
45
57
Create new product categories or…
Improve forecasting and planning
Create new business models
Quickly adapt to changing…
Increase employee productivity
Enhance products and services
Improve customer experience
Increase efficiency of operations
Functions/activities where AI has been/will be implemented% of respondents
Goals of AI% of respondents
– % of respondents
6
12
12
13
15
16
19
34
42
47
Don't see the benefits
AI technology is too immature
Lack of industry-specific AI solutions
Lack of C-level support
Lack of budget
Lack of trust in AI making accurate decisions
Hard to identify viable use cases
Lack of data governance and architecture
Lack of AI expertise
Lack of data quality or quantity
Obstacles for AI adoption
The Enterprise of the Future
Edge-Centric Cloud-EnabledData-Driven
2
1960-1970MainframeCentral
1980-2000Client-ServerDecentral
2005+Cloud/Mobile Central
2006
DATA
2008 2010 2012 2014 2016 2018 2020
0.3ZB
0.8ZB
1.2ZB
1.8ZB
4.4ZB
7.9ZB
15.8ZB
31.6ZB
44ZB
Data volume
From “Systems of Record” to “Systems of Action”
Structured Data
40 Petabytes
Walmart’s database
Human Data
4 Petabytes/day
Daily uploads of content to
Digitization of the physical world
40,000 Petabytes/day
10 Mio. partly autonomous cars in 2020
Frontcamera
20MB/Sec.
Front-Ultrasound-Sensor
10kB/Sec.
Infraredcamera
20MB/Sec.
Side-Ultrasound-
Sensor
100kB/Sec.
Front-, Rear- und
Topcameras
40MB/Sec.
Rear-
Ultrasound-
Sensor
100kB/Sec.
Rear-Radarsensor
100kB/Sec.
Crash-Sensor
100kB/Sec.
Front-Radar-
Sensor
100kB/Sec.
of all enterprise data is generated and
processed outside the data center
10%
2018
of all enterprise data is generated and
processed outside the data center
10%
2018
of all enterprise data is generated and
processed outside the data center
75%2025
1960-1970MainframeCentral
1980-2000Client-ServerDecentral
2005+Cloud/Mobile Central
2020+Edge IntelligenceDecentral
2006
DATA
2008 2010 2012 2014 2016 2018 2020
0.3ZB
0.8ZB
1.2ZB
1.8ZB
4.4ZB
7.9ZB
15.8ZB
31.6ZB
44ZB
Data volume
2006
Processing power
DATA
2008 2010 2012 2014 2016 2018 2020
0.3ZB
0.8ZB
1.2ZB
1.8ZB
4.4ZB
7.9ZB
15.8ZB
31.6ZB
44ZB
Data volume
94%of generated data is not used
Customer Examples
50% reduction in planned
maintenance costs
Increased data
processing speed of its
smart meters by 800%
100% time reduction
to manually inspect
production systems
19B projected reduction
in operational and capital
costs by 2020
Edge-to-Cloud
Intelligence will be
embedded everywhere
Everyone and everything connected and secure
Everything will
be understood
But…
Thank you