Translation...getting funding to work faster and achieving greater impact. Your time's valuable so let's dive in.
- Exponential curves don't wait. We need to compress every stage of EU-funded projects, from the creation of calls, funding applications, evaluations, negotiations, and the exploitation of the project partnerships themselves.
- This is not as difficult as it sounds. There is friction in the system everywhere that can be mitigated by harnessing the Artisans across the spectrum, combined with Generative AI (LLMs +) to do things better (higher quality), faster and cheaper. This makes the funding go further.
- There are percentages everywhere. Challenge anyone who says there aren't with a breakdown of key tasks in any given proposal/project implementation.
- Months down to weeks, weeks to days, days to hours....Acknowledge that critical paths can be constantly re-wired, with more overlapping feedback loops. Let the LLMs do the heavy lifting and your team focus on quality, speed of decision making, and the exploration of new possibility spaces.
- The LLMs/GenAI capabilities don't have agency (not yet anyway...see Agents coming in the next year to disrupt workflows even more). Have the Artisans reach into the LLMs and pull out all this latent capability, augmenting their teams, circumnavigating resource constraints, ideating and de-risking earlier etc.
- Jobs/projects/activities comprise of tasks, many of which can be radically compressed. This frees us (humans) up to reach beyond traditional assumptions of how long things take, how complicated they are, and how much they cost. Pursue an ongoing strategy of radical candour about this. Naysayers and knowledge experts will challenge you. Challenge them back with real-time demo examples of circumnavigating funding workflows with an artisanal approach to using LLMs.
- Encourage workflow improvement discovery across teams. You need to be able to capture the possibilities, however, right now there is a lot of shadow IT and performance possibilities that are not bubbling up to Senior Management/Board level. Read Ethan Mollick's piece for more insights (https://www.dhirubhai.net/posts/emollick_detecting-the-secret-cyborgs-activity-7225009226060869633-Ofgp?utm_source=share&utm_medium=member_desktop)
- Over the next six months more mathematical, scientific and simulation AI capabilities will become widely available, overlapping with the current LLM trajectories for workflow optimisation. Translation...on the actual R&D side we will start to see massive incremental time and cost savings, and the ability to discover new materials, molecules and manufacturing processes. But so will every other region in the world. This time we need to cross the streams...
- We will gain from compound effects, freed-up capacity, levelled-up skills, more time to focus on the actual science, technology and market making activities, released from all the friction in the system.
- Evolving possibilities; Research Institutions, Universities, Corporates, SMEs and Startups will spend less time on bureaucracy, and capture the results of the funding partnerships faster. Funded consortia will become more attractive to join because it will be easier to get line-of-sight through simulation etc.
- Funded projects, and the governance processes around the allocation of funds, will start (have) to adopt a more fluid approach to scope. This is because of the pace of global RD&I, and the aforementioned exponential technology curves. Who can predict three years out anymore?
- Having the right mindset can dramatically enhance your organisation's skillsets and toolsets. Check-out Gary Bolles perspectives (https://www.gbolles.com).
Compound, compress, release capacity, explore more with existing resources to drive more performance with EU RD&I funds...
Partner @ Fjord Qudra Ltd. Expert @ Singularity AI/Future of Work. Author. London, Oslo, Helsinki.
7 个月Gaoithe Advisory