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Creating the next huge business in today’s tech world takes more than a killer use case — it requires social scalability. This means building technologies that address and respond to society-level needs, dynamics, and contingencies, not only user-level ones. With today’s bets bigger and riskier than ever, we help the world’s leading technology companies make the right ones – by understanding the social systems their technology will be a part of.
Now, more than ever, we see companies under pressure to find the next big thing. The focus has shifted away from one-off apps to platforms, from iterations on existing technologies to truly disruptive ones, from building in well-established swim lanes to breaking into adjacent (and not-so adjacent) sectors. In response, companies are putting enormous resources and energy into scalable, future-ready technologies.
And yet, despite all of this, we see fewer companies readying their technologies for the global social systems their solutions will need to fit into. Technology companies need clear answers to questions such as: How can we play a meaningful role in people’s lives? How can we build trust with consumers around privacy and data? How will innovations in A.I. change people’s relationships to technology?
We believe that the next generation of companies will succeed by building technologies optimised for ‘social scale’ from the ground-up – tech that will be widely adopted, and meaningful to communities and society at large. We help clients:
Build strategic perspectives on issues like, privacy, data collection, and automation
Set roadmaps for the rollout and adoption of end-state technologies
Identify potential unintended consequences of new technology launches
Define the core value and priority features for new platform and product development
Spot new core and adjacency growth opportunities
Build internal ideologies and external growth stories anchored in human realities
ARTICLE
We should all be worried about synthetic data Making up the world through made-up data
Synthetic data – the use of AI to create datasets that mimic real world data – is rapidly becoming a much bigger part of our daily lives. But this form of data raises critical philosophical and ethical questions that will shape the future for all of us, write Mikkel Krenchel and Maria Cury.
Read the Article on IAI