Powering Smarter Government
with Analytics & AI
Using Analytics & AI to Support Better Government Decision Making
May 16, 2019 | The Shaw Center, Ottawa | #Road2AI
Governments around the world face more challenges than ever: providing citizens with better benefits and services at a lower cost, while combating fraud and improper payments; improving public safety and national security in the face of new threats; delivering better health care while controlling skyrocketing health care costs; and the list goes on.
At the same time, government organizations produce, collect and store an unprecedented amount of increasingly diverse data that could be used to help solve these problems. However, traditional approaches to gleaning insights from data are no longer enough given the volume, velocity and variety that modern governments must manage. It is becoming increasingly critical for governments to find new ways to transform data into actionable information.
Join us on Thursday, May 16 at the Shaw Centre for the 2019 SAS Government Analytics Leadership Forum, an invitation only executive event, to hear about real world AI & Analytics applications to government challenges that are breaking ground, delivering transformative value and providing the analytical business-smart approach that fuels it.
This event is exclusive to manager level and above and by invitation only. Please contact email@example.com for additional inquiries.
The Shaw Centre
55 Colonel By Dr, Ottawa, ON K1N 9J2
Successful execution of an analytics, and thereby AI strategy, needs the right balance of choice and control.
Creativity and innovation flourish in open spaces. You need flexibility and freedom to attract the best analytical talent, use a wide variety of techniques and develop processes that work best. You need the flexibility to use multiple programming languages and analyze any data in any environment and to keep up with accelerating demands.
Analytics chaos can creep up. Once you lose control of your data, you lose trust in the system and its outputs. Transparency, governance and security become essential for maintaining trust in models and analytical results. Becoming even more critical as you scale development, monitoring and refinement of analytics applications and their associated processes.
At the intersection of data, software, and ingenuity, the future is being redefined. After all, when curiosity meets capability, progress is inevitable.