Incredibly powerful, and increasingly democratised, emerging technologies are transforming every sector faster than ever, and this can have dire consequences for investors if the mechanisms behind the change are not understood.
Matthew GriffinFounder, President and Futurist, 311 Institute
G7 · G20governments advised
850+keynotes
102countries
17codexes
Finance and banking sessions forShawbrook BankStandard Chartered BankThe Institute of Internal AuditorsWolters KluwerCrown Prince CourtUAE Financial Markets Association
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About this keynote
Firstly, thank you to Amelie for inviting me to be the keynote for this years 16th Annual Structured Retail Products European conference, held in sunny London, and it's good to be back again. This year at the premier global forum for structured products we discussed everything from how structured products are created and distributed, what the product and regulatory trends are, digital disruption, and the inner workings of Artificial Intelligence (AI) in the sector, and how different banks are deploying and using it.
During my keynote I shone a light on the rise of creative machines and AI's that are already having a profound impact on the way we curate synthetic, or so called fake data, and the impact that will have on how organisations analyse and trust information in the future, as well as their businesses and the partnerships they form. I also discussed a wide variety of other trends that, as they continue to accelerate over time, and as the cost accessing and leveraging them decreases will alter the competitive landscape and give rise to new alternative data sources, among many other topics.
Chill and <<Rewind: The full session
311 Intelligence
What this means for your leadership team
Trust in data will be tested.
Creative machines already help make synthetic data. Leaders will need clear ways to judge which information is real and which is machine-made. Analysis built on weak data will lead to weak decisions.
Costs fall and rivals catch up.
As the cost of using these trends drops, more firms can use them. The competitive picture shifts, and new alternative data sources appear. Early movers may gain an edge before access becomes common.
Partnerships will need new checks.
If data can be made by machine, the firms you work with may rely on it too. Teams should ask partners how their data is sourced and tested. This matters most in sectors that depend on analysis, such as structured products.
Three questions for your next leadership meeting
How do we tell real data from machine-made data in our analysis?
Which partners rely on synthetic data, and how do they test it?
What would we do if rivals gained cheap access to new data sources?
The trends and technologies behind this session
From the 311 Starburst, the 311 Strategic Intelligence Unit’s map of the technologies and trends shaping the next 50 years.
It means data can no longer be assumed to be real. Creative machines are changing how data is made, so firms need new ways to check it. Competition and partnerships will also shift as new data sources appear.
How does synthetic data substitution relate to this keynote?
It is the core theme. Firms and AI labs use machine-made data in place of real records to train, test and share data safely. 311 sees wide use by 2031, with an action level of Explore.
How do creative machines relate to this keynote?
They are the engines behind synthetic data. This trend covers AI that designs products, proteins and media. 311 sees wide use by 2028, with an action level of Prepare.
How can 311 brief our leadership team on this?
Through a private executive briefing or leadership workshop, tailored to your sector, in person first.
Bring this to your leadership teamA private executive briefing or leadership workshop, tailored to your sector. In person first, anywhere in the world.
Analysis by the 311 Strategic Intelligence Unit, from Matthew Griffin’s session and 311 data.
If Matthew gave this session today
Could whole industries soon be disrupted in a day?
The Future of Exponential Disruption examines the forces accelerating global disruption, the same forces that could see autonomous, AI-driven banks reshape financial services.
