-------- Forwarded Message --------
Call for Papers of the 1st AInE workshop: Towards the AI-native
Enterprise. To be held at PoEM 2021
(
https://conf.researchr.org/home/ai-ne-2021)
Enterprises of the future will be complex system of systems of
socio-cyber-physical actors, that operate in dynamic and uncertain
environments. They will need to continue delivering on their goals
in the face of unforeseen changes and events (such as global
pandemics) along multiple dimensions. The goals they aim to meet
are also likely to evolve rapidly as enterprises look to exploit
opportunities as they emerge in their ever changing environment.
This puts hitherto unseen demands on enterprises as regards
responsive decision-making with partial information in the face of
uncertainty and swift adaptation to support continuous
transformation while optimizing stakeholder value. With emergence
of a plethora of information technologies, such as (statistical)
AI, IoT, Digital Twins, Low-Code, No-Code, etc, it is to be
expected that future enterprises will be increasingly
model-guided, AI-powered and data-fueled; giving birth to what we
prefer to call AI-native enterprises.
The emergence of AI-native enterprises, however, also raises
fundamental design challenges: How to ensure coherent design of
such enterprises? How to balance change and stability? How to
manage uncer-tainty? How remain (just enough) compliant to
regulations? What about ethics and privacy? Furthermore, what is
the future role of existing disciplines such as Enterprise
Modelling, Enterprise Engineering & Architecting, Modelling
& Simulation, Process Engineering, Knowledge Engineering, and
AI towards the emergence of AI-native enterprises? How do
fundamental concepts such as actor-network theory, multi-agent
system theory, and control theory fit? Can novel technologies,
such as Machine Learning, Adaptive Software, Digital Twins, and
Reinforced Learning, further enable the emergence of AI-native
enterprises?
The workshop aims to discuss these, and other relevant, issues
across the entire gamut ranging over the state of art and
practice, limitations and lacunae, possible means to overcome
them, case studies illustrating the line of attack, and future
work. As such, the goal of the AInE workshop is to bring together
leading researchers across different relevant fields, in order to
(1) explore the challenges facing the emergence of AI-native
enterprises, and (2) exchange and discuss ideas, concepts,
approaches that aim to meet these challenges.
Topics relevant for submission, but not limited to:
- Modelling Data-driven Organizations
- Enterprise Engineering and Architecting
- Modelling and Simulation
- Multi-perspective Business Processes
- Modelling Enterprise Security, Risk, Privacy and Regulatory
Compliance
- Modelling in Industry 4.0, Cyber-Physical Systems, and Digital
Twins
- Adaptive Software
- Knowledge Management and Enterprise Modelling
- Human Aspects in Enterprise Modelling
- Large Scale Organizational Structures and Enterprise Ecosystems
Submission guidelines and publication:
- Accepted papers will be published (as post-proceedings) in the
CEUR proceedings series.
- Papers have to be submitted in PDF or DOC format using the
EasyChair submission page. All submissions must be unpublished and
not be under review elsewhere. Submissions must conform to
Springer’s LNBIP format.
Springer formatting guidelines:
http://www.springer.com/series/7911
- At least one author of an accepted paper should register for the
PoEM conference and present the paper.
- EasyChair submission page:
https://easychair.org/conferences/?conf=poem2021
- Up to date information regarding the workshop:
https://conf.researchr.org/home/ai-ne-2021
Workshop co-chairs:
- Vinay Kulkarni, TCS, India
- Tony Clark, Aston University, UK
- Henderik A. Proper, LIST and University of Luxembourg,
Luxembourg
- Sreedhar Reddy, TCS, India
Important Dates:
- Submission via EasyChair: end of Sun Oct 3 AoE
- Reviews Due: end of Fri Oct 22 AoE
- Decision communicated to authors: Tue Oct 26.
|
| Prof.dr. Henderik A. Proper
|
| Luxembourg Institute of Science and Technology
| and
| University of Luxembourg
| |
e.proper@acm.org
| +352 - 621 762 041
|
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