Safe House Global's Virtual Summit on Intelligence | Nov 19, 2021
How to reduce noise and bias, improve forecasting, and add transparency to intelligence across all sectors.
Who Should Attend and Why
Who Will Benefit?
- Board Members and CxO’s involved in data policy, team oversight, Intellectual Property protection and organizational policy decision-making.
- Government Agencies managing public data
- Intelligence analysts and data security professionals
- Computer Systems Design and Related Services
- Data forecasters, scientists, and diagnosticians
- Financial Service Providers
Why Attend?
Biased, noisy data commonly drives data security leaders’ decision-making. When you combine that with algorithms that discover and feed those biases, how can leaders make effective judgments and forecasts?
Algorithms
More and more, our information feeds are dictated by invisible algorithms which, in turn, cater to our biases for the sole purpose of keeping us from leaving whatever platform we happen to be on.
Forecasting
For intelligence to be useful, it must be forward-looking. Learn novel methods for removing bias and noise from the data that you rely on for your planning and forecasting.
Financial Intelligence
Learn the varied uses and demands for intelligence products by Investment banks, family offices, and UHNIs. Data monetization and ownership is driving a new Creator economy.
Threat Intelligence
Whether you're the Chief Security Officer or the CISO, threat intelligence must not only be actionable, but reliable. How far removed from the source data is your analytic product?
Also on the same day
Information Warfighter Exercise
Coming soon
Our Speakers
What to Expect
View last year's Public Safety Summit and watch this year's Fireside Chats.
