We surveyed people to find the critical technologies and departments. And we chose these to create four concurrent half-hour discussions, four times over. It’s a choreographed dance of experts, ideas, and disruption.
AI and data science
SPONSORED BY BLACKBERRY AND IBM
Training algorithms on data, then using them to make predictions and classifications, sometimes better than humans can—with possible ethical consequences.
Sensors and the Internet of Things
Using the Internet of Things (or Enterprise of Things) to create a mesh of ubiquitous computing that can assimilate, process, and act on information at scale.
Cloud computing
Migrating to, and operating, on-demand elastic resources. From virtual infrastructure to software-as-a-service to containers, cloud computing represents a new paradigm for application delivery—and requires new approaches such as Devops, agile delivery, and continuous deployment.
Open compute, open source, open data
If you want application sovereignty, you need to be sure you can repatriate your computing resources. Can you modify your hardware? Edit your code? Own your data? What does a truly open computing stack look like, and when is it necessary?
Climate, disaster, and emergency
Disasters and emergencies are a fact of life. But rising oceans, refugees, wildfires, and more are happening at an increasing rate. How do we mitigate, detect, and react to such challenges—and what role can technology play in improving our resilience as a society?
Regulation and compliance
Government runs on laws and rules. Navigating those regulations can be complex, and technology can help. How do citizens, companies, and governments themselves balance well-regulated activity with freedom and agility?
Finance and spending
In the digital era, money is information. How do governments manage budgets and spending, leveraging the latest technologies for financial processes while ensuring accountability and transparency?
Records and information management
Gone (mostly) are endless warehouses of paper documentation. But simply stuffing records into a data lake makes information unusable. How should we manage the torrent of information that modern societies generate, making the most of data for the benefit of citizens and governments alike?