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This year sees businesses continue to respond to the pandemic and adjust to the new EU-UK Trade and Cooperation Agreement, while at the same time addressing issues like climate change and digitalisation.
As such, Enterprise Ireland has identified the following strategic priorities for 2021:
• Strengthen Irish enterprise to respond to market shocks and disruption in response to COVID-19 and Brexit
• Drive transformational change and the pace of innovation transitioning to new business models, digitalisation and the low carbon economy
• Scale and Grow the export and start-up base, across regions and sectors and grow companies of all sizes.
Enhancing, nurturing and leveraging the research and innovation ecosystem is key to Enterprise Ireland achieving these objectives.
There are many ways Walton Institute and TSSG Technology Gateway aligns with Enterprise Ireland, and promotes Irish industry.
Technology Trends for 2019: What it Means for Your BusinessPrecisely
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View this 30-minute webcast on-demand to learn about the technology trends you need to know to use data to your strategic advantage. Syncsort’s CTO, Tendu Yogurtcu, shares insights from our work with data-driven organizations around the world, on the top technology trends for 2019 – and how data governance is key.
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• Hybrid Cloud
• IoT
• AI and Machine Learning
• Blockchain
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This year sees businesses continue to respond to the pandemic and adjust to the new EU-UK Trade and Cooperation Agreement, while at the same time addressing issues like climate change and digitalisation.
As such, Enterprise Ireland has identified the following strategic priorities for 2021:
• Strengthen Irish enterprise to respond to market shocks and disruption in response to COVID-19 and Brexit
• Drive transformational change and the pace of innovation transitioning to new business models, digitalisation and the low carbon economy
• Scale and Grow the export and start-up base, across regions and sectors and grow companies of all sizes.
Enhancing, nurturing and leveraging the research and innovation ecosystem is key to Enterprise Ireland achieving these objectives.
There are many ways Walton Institute and TSSG Technology Gateway aligns with Enterprise Ireland, and promotes Irish industry.
Technology Trends for 2019: What it Means for Your BusinessPrecisely
Ninety percent of the world’s data was generated in the past two years, and 2.5 quintillion bytes of data are generated every day. Organizations across industries have an unprecedented opportunity to harness data to move their business forward – but they will need a solid strategy and the right tools to do so.
View this 30-minute webcast on-demand to learn about the technology trends you need to know to use data to your strategic advantage. Syncsort’s CTO, Tendu Yogurtcu, shares insights from our work with data-driven organizations around the world, on the top technology trends for 2019 – and how data governance is key.
The webcast covers opportunities, challenges and best practices for:
• Hybrid Cloud
• IoT
• AI and Machine Learning
• Blockchain
Surviving and thriving in the 4th Industrial Revolution means a change in culture, adoption of new technologies and an ecosystem wide collaboration. We take a look at the market and the success and improvements surrounding the 3DEXPERIENCE Platform from Dassault Systemes.
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This presentation was presented Asia Pacific Media Forum (APMF) in Bali on how Telkom Indonesia as a giant telco with over 200 Mio subscribers can be agile and nimble like a butterfly.
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This year Indonesia stated the year of Creative Industry. It discuss opportunity in Creative Industry that has saved Indonesia from crisis. This industry supposedly more appropriate for women. However lack of understanding on IT has defferred Indonesian women from mastering this industry.
apidays LIVE Jakarta - Connecting the digital economy in South East Asia with...apidays
apidays LIVE Jakarta 2021 - Accelerating Digitisation
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Legacy organizations are being disrupted and are struggling to keep pace with the hyper-volatile business landscape. The competitive landscape for organisations has become more dynamic. Hyper Agile Competitors, Movement of the markets toward the east and ‘Digital becoming the New Normal’ are realities all companies are faced with.
This keynote by Pari Natarajan , CEO of Zinnov provides insights on the convergence of 3 different pillars and to draw a picture on how this digital age will be critical to build technology organizations of tomorrow.
Contemporary AI engenders hopes and fears – hopes of harnessing AI for productivity growth and innovation – fears of mass unemployment and conflict between humankind and an artificial super-intelligence. Before we let AI drive our hopes and fears, we need to understand what it is and what it is not. Then we need to understand how to implement AI in an ethical and responsible manner. Only then can we harness the power of AI to our benefit.
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The presentation explores the current state of investing in AI, including its industrial split, and provides a detailed outlook on AI applications in Healthcare, Transportation and Industrial sectors.
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Presented at OMN London's The Future of Work – The All-Stars Edition on 11th June 2015 aboard the HMS President, London.
Why manufacturing leadership and operations are adopting a data-first approach instead of chasing digital transformation.
Cam Bergen, CEO of Mode40, and Roger Woehl, CTO of SafetyChain, explain.
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The rapid proliferation of mobile devices and rise of multi- digital channels has disrupted the content distribution and consumption cycle, thereby creating a dynamic business environment for all media and entertainment players. The present operating landscape is driven by customer preferences and marks the advent of a new approach for customer interactions, powered by unique customer experiences through technology and data driven personalization.
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Commission Européenne, présentations de la Délégation générale Société de l'Information à la délégation d'Aquitains conduite par AEC, 30 janvier 2012:
le programme horizon 2020, programme cadre européen pour la recherche et l’innovation, regroupe et remplacera à partir de 2014 2014 les actuels Programme Cadre de recherche (7e PCRD), Programme Cadre pour la Compétitivité et l'Innovation (CIP) et Institut Européen de Technologie (IET)
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This report covers companies that provide the infrastructure for creating Artificial Intelligence. These Infrastructure companies include those working on Machine Learning, Deep Learning based platforms, libraries. Some of theses companies also provide platforms for Natural Language Processing and Visual Recognition. In the Applications section, the report covers companies leveraging AI techniques to build applications tailored for end use in Enterprise, Industry & Consumer sectors.
Over $1B has been invested in AI-Infrastructure startups since 2010 with ¬$340M being invested in 2015. Over $7.5B has been invested in AI-Applications startups since 2010 with $2.3B being invested in 2015.
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Manning-Chapman joins this ServiceRocket webinar to discuss:
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2. Why customer education is ideal for driving adoption
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
3. Questionnaires: Focus and Scope
Technology
• Technology adoption and implementation
• Related issues
Human Capital
• Human Capital Demand (what industries/research centres need)
• Human Capital Supply (what academia provides)
• Related issues
Standards
• Awareness, readiness and willingness of stakeholders to implement robotics related standards
• Related issues
4.
5. 7
11
4
19
4
Robotics Stakeholders (numbers by role)
Research Centre Solution Provider Distributor Training Centre/Academia Others
0
3
15
2
9
1
8
0
2
4
6
8
10
12
14
16
Sectors Served
Sectors Served
Questionnaires Analysis
6. Research
Areas
• Industrial Automation
• Embedded Computing
• Intelligent System Development
• Vision and Imaging
Reasons
• Market’s Needs
• In house strength and capabilities
Funding
• Own Capital
• Government Funding
• L2M
• Cradle Fund
7. In- House Robotics Products/Researches
-
No Research Technology Status Challenges Future Technology
1 Automated
Guided Vehicle
(AGV)
Navigation Method Commercialised • Laser range
finder to map
out environment
• AGV navigation
without physical
guide
Integration and Application to Customer
Server Management System
AGV Hardware Design
AGV Controller Design
2 Humanoid
Robots
Embedded Controllers Not
Commercialised
Cost Embedded
technology like
system on a chip
and Internet of
Things (IoT)
Vision System
3 Robotics
Exoskeletons
Embedded Controllers
Bio Signal Processing
4 Tele Presence
Robot
Embedded Controller
8. In- House Robotics Products/Researches
-
No Research Technology Status Challenges Future
Technology
5 Underwater
Robotics
Platforms
Mobile Robots Not Commercialised • Acceptance by
users
• Local market
not ready and
too small
• Lack of trust in
local
technology
6 Bouy System Mobile Platform Not Commercialised
7 Tunnel
Inspection
Robot
Mobile Robots Not Commercialised
8 ROV Not Commercialised
9 UAV Not Commercialised
9. In- House Robotics Products/Researches
-
No Research Technology Status Challenges Future Technology
10 Surveillance Robot In progress
11 Robotlesa FMS Mechanical In Progress
12 Snake Robot Own Use
13 Humanoid Robot Own Use
14 Flower Robot Commercialised
15 Measuring Robot For school use Commercialised
16 Drone (UAV) In Progress
17 XYZ Robot Pick and Place Commercialised • Limited
funding
• Cost
Machine Vision
Robotics System
PC based Controls
10. In- House Robotics Products/Researches
-
No Research Technology Status Challenges Future Technology
18 Assitive Device for
Hand
Control
System/Robotics
Not
commercialized
• Limited budget in
funding
• Technology not up to
mark
Bio Medical
Engineering
19 Navigation
Automation
Not
commercialized
• Need more funding
• Robotics need
advanced facilities
20 Path Taking Not
commercialized
21 Sensor Integration Not
commercialized
22 AUV Robust Control Not
commercialized
Lack of Testing Equipment Multi AUV cooperative
strategy
23 ASV Navigation &
Control
Not
commercialized
Swarming Robotics
Technology
11. In- House Robotics Products/Researches
-
No Research Technology Status Challenges Future Technology
24 Underwater Vehicle Docking Not commercialized Underwater Localization,
Mapping, Underwater
Structure Inspection
25 HRI for child with
cerebral palsy
HRI Not commercialized
26 Human Robot
Interaction
HRI Not commercialized Social Robots
27 Social Robot to
support learning
Not commercialized
28 Autonomous Surface
Vehicle
Navigation Not commercialized Visual Navigation
29 Brain Science Neurology Not commercialized
30 Prosthetic Medical
Rehabilitiation
31 Social Robotics Social Science Not commercialized
12. Issues
Insufficient Research
Fund
Insufficient
Commercialisation
Fund
Insufficient Technical
Manpower
R&D Costly
Investment –
Insufficient cash flow
to support R&D
Local market not
ready for automation
Automation is very
expensive investment
and looking at very
short ROI
Insufficient facilities Limited R&D
Research Fund to turn
ideas to product – too
many documentation
for grant application
Knowledge and
Capability Limitations
Talent Limitation
Know how and skill
sets
Funding
Insufficient research
funds
Trust and demand
from superior due to
high cost
Insufficient skilled
discipline and
integration for
automation system
Difficult to get
materials and
components
Budget to run robot
club
Local manufacturer
with lower
manufacturing cost
Price and ready
deployment specific
to industry
Fundings
Expectations from
consumers and
publics
Adhoc requests by
government agencies
Users’ Acceptance
13. Issues
Limited Budget on
Funding
Less Research Grant
Perception of public that
products from overseas is
of higher quality
Need more funding
Robotics need advanced
facilities
Lack of Testing Equipment Lack of Testing Facilities
Expensive components
imported from overseas
Access to electronic
components
Test Equipments
Limited Fund
Lack of commitment from
top university
management
Funding Insufficient research fund
Price of existing
technology is expensive
Local industry doesn’t
need high level of
automation products
currently
Poor exposure on interest
in robotics field
Unclear career path
prevents creative
products produced by
locals
Lack of recognition from
international community
Credibility
14. Government Assistance
More development and
commercialization funding
Free consultation from
industry expert
Help SME or product
developers to find investor
to further grow potential
products
Encourage industry by
providing financial support
(e.g: loan, grant)
Policy to include robotics
in education and medical
field of rehabilitation
Pump more
funding/money and make
the process transparent
Ensure smoother process
of procuring and purchase
More discussion with
researchers
Options for researchers to
open spin off while still
working with the
government. Solid safety
net for researchers cum
businessman
Heighten Awareness
MOSTI must do lots of
awareness started from
primary school
Shared resources
Shared R&D facilities
Funding to develop new
technology/capability
Dedicated Flagship
Program
Funding X 2 Expertise Funding – Technofund
Funding via grant National Robotics Centre
Website Robotics to share
resources
Inject in curriculum
Have a Robotics Centre for
Reference
Put inside the curriculum
cross all
discipline/program
Intensive awareness
training/roadshow/compe
tition at
primary/secondary/tertiar
y level
Government should
allocate more funding in
private sector not only in
government/education
sectors
Shared Resources Enforcement (policies, etc) Funding Collaboration
15. Government Assistance
Consolidated Approach
Provide more funding.
Do not slash original
budget that was
submitted in the
application
Provide a conducive
environment and
resources
Government should
come up with policies
Involve multi universities
in a research
Provide enough testing
and development
facilities
Provide collaboration
grant from government
and industry (joint
venture)
Expose the industry and
community with the
advanced robotics
technology in solving
daily tasks
More funding
More research grant to
both local and
international students in
this domain
Industry should partner
with universities and
research centres to help
with funding and
development
Establishment of
research institute where
both local and
international students
can actively participates
Government can
contribute by becoming
clients of Malaysian
robotics products
More research need to
be applied and available
funding
Create a solid robotics
platform
Consistent Monitoring Policy
17. Human Capital Issues
3
2
0
4
Barriers of Hiring Skilled Employees
Limited Work Experience Job Hopping
Lack of Education Lack of Practical Skills
In house Improvement Strategies
Advice, Monitoring, Warning
Mentor Program
Internal Training from Juniors to Seniors
Training to employees
Participate in technical talks
Industry visits
Mentor Program
On job training
Do you think Teaching Factory can fulfill the
human capital needs and requirements?
Yes No
Reasons
Current Education System too many theory/non practical
Students can learn more practical stuff and understand what really happen in
real world from teaching factory
Will only work if trainers are qualified with strong industry exposures
Students exposed to real robot programming rather than simulator
Hands on/practical with industry standard platform can teach students many
on the job skills needed from day 1. It also exposes them to real world
problems
18. Human Capital Profiling
Project
Engineer
Programming
(CAD/Solidworks)
Hardware Design
Testing
Troubleshooting
Technical Support
Lecturer
Control, Robotics
and Automation
R & D
Engineer
Design and
Research
Programming
Hardware skill
Testing skills
Troubleshooting
Support
Engineer
Testing
Troubleshooting
Softskill
Technical Support
Machine
Operating
Factory
Supervisor
Hardware
troubleshooting
Software
Troubleshooting
Repair
Technician
Trouble shooting
Repair and
Maintenance
Welder
Operation
Production
Machine
Operator
Machine Setting
Normal Repair
General
Worker
None specific
skills
19. Do you think Malaysian Graduates fulfill the
industry needs?
Yes No
Reasons
Graduates lack of practical skills
Need more exposure in real industry (be more hands on)
The most accurate answer is YES and NO. We do fulfill most of requirements needed
for graduates to conduct their job at 90%. But fail 10% due to circumstances
Human Capital Needs and Requirement
20. Human Capital Needs and Requirement
0
0.5
1
1.5
2
2.5
3
3.5
Skillset Importance
Most Important Important Neutral Not Important Least Important
Future Needs in Human Capital for Robotics
Electronic Troubleshooting
R&D Skills
More understanding on mechatronics,
electrical/electronics/AutoCAD/Solidworks, Sensing,
PLC Programming
21. Human Capital Needs and Requirement
Government Incentives in Human Capital
Advance Training and Hands-on Workshop
Funding for lecturers to improve hands on skills
Incentive to industrial player to support educational
Provide links with local and international industries
utilizing robotics and automation technology to
participate in research related to field problems they
have
Types of Trainings Needed
Current Technology
Intensive training in Vision technology
Robot Handling and Programming
Market Needs in Automation
CAD Drawing
Mechanical Design
Improving Human Capital for Robotics in Malaysia
Learn from other country’s education program in Robotics
Organise more robotics competition at all levels
Better interaction between university and industry
There should be universities dedicated to skill and training
development using latest technology
Give incentives to companies to expand facilities using
robotics and automation expand more opportunities in job
Networking and face-face engagement can benefit most
researchers working in the area. As such activities like
conferences exhibition and competitions can improve human
capital
22. Standard Awareness
Yes No
List of Standards
CE
SIRIM
IEE CB-ASIA
TUV
Important Criteria
Safety = 100% (12)
Reliability = XX% (10)
Performance Criteria = XX% 9)
Others, Consistency =XX% (1)
Standard Willingness
Yes No
List of Standards
CE
SIRIM
IEE CB-ASIA
TUV
Motivation
Financial Support
Consultation Support
Good to have standards as technology will be easy to be adopted
Public funding and assistance
Free Training/Workshop – QMS and Robotics Standards
R&D Funding from government
Valuable guide and exposure of standards certification
Funding
If have potential for commercialization
Less bureaucracy