Dear European AI alliance members,
Business Impact subgroup of AI HLEG is working on delivering recommendations to EC on how to ensure the uptake and acceleration of AI by European business.
Below is our proposed structure for delivery, based on 4 assumptions and fact-based knowledge:
- 75% of European business does not apply AI;
- 25% of European business apply AI but struggle to accelerate and scale;
- Europe is behind other world powers in terms of home-grown AI unicorns and tech giants;
- AI business uptake and acceleration is enabled by a dynamic interplay of ecosystem components.
We seek YOUR INPUT on the following 3 questions:
- What can European Commission (or Member States) do to enable uptake and acceleration of AI in European business? What are the priorities?
- What are the key components of enabling AI ecosystems? Can you give examples from industries, particularly, automotive, health, industrial machinery and finance?
- Are unicorns and tech companies important, and in what way?
Any other input on delivery structure or else on AI uptake in business across Europe is also welcome!
Thank you in advance!
Ieva & Loubna (co-rapporteurs, AI HLEG, Business Impact subgroup)
2.1. BUSINESS IMPACT - DELIVERY STRUCTURE
- INTRODUCTION (focus: ambition level for Europe)
- SECTION 1: CONCEPTUAL FRAMEWORK (list of enablers for AI adopters, AI accelerators, Europe-born tech companies & unicorns, AI ecosystems)
- SECTION 2: AI READINESS IN EUROPE (as-is situation in comparison to USA, China, Canada, etc. across 4 dimensions, ref. Section 1)
- SECTION 3: AI UPTAKE DEEP DIVE (enablers & recommendations)
- SECTION 4: AI ACCELERATION DEEP DIVE (enablers & recommendations)
- SECTION 5: TECH COMPANIES and UNICORNS (enablers & recommendations)
- SECTION 6: AI ECOSYSTEM DEEP DIVE (health ecosystem as use case; automotive / finance / industrial machinery selected for future deep-dive)
- SECTION 7: RECOMMENDED ACTIONS (what and how, by whom, at which authority level, e.g., EU, Member States, regions)
- CONCLUSION (focus: summary, networks of networks, KPIs to check progress)
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Comentários
Em resposta a Thank you for your question. por Anonymous (não verificado)
Dear Kai,
Thanks for your valuable inputs. Testing and experimentation environments, such as those enabled by DIHs are of critical importance to AI uptake in business.
Let me bring your considerations to the group.
Great to see your good work in this area.
On behalf of AI HLEG,
Ieva
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I want to refer to the first qustion.
- What can European Commission (or Member States) do to enable uptake and acceleration of AI in European business? What are the priorities?
SMBs (Small Medium Businesses) adopt AI technologies very slow because the result of such a project is not guaranteed. In this case, the managers of the SMBs do not run to finance such projects, and therefore it is difficult to harness them to this issue. Our company (Maxsoft) has received public funding for an attempt to predict outputs in avocado. We have received permission from one of the customers (Avocado packing house) to use data sets of output in the past 20 years. Right now, we are dealing with the subject. But even though the funding still exists, the challenge is to explain the customer the benefits of such research.
If we would be able to disseminate the benefits of such research to these SMBs, they will look for solutions in this area.
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