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How Machine Learning is transforming the future of our urban communities
June 3, 2020 @ 8:00 am - June 4, 2020 @ 6:00 pm
The inaugural edition of the SCME Conference explores practical, real-life enterprise use cases showing how cities can use data science, machine learning, AI, IoT and open data to become more livable and to create more intelligent transportation options. From predictive analytics to policy, SCME examines the role of governments, enterprises, and individuals in driving positive change in our increasingly connected communities. This micro-focused event brings together specialists who can educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere with sustainable food, great coffee, and entertainment.
About
Rapid advancements are challenging cities and the mobility industry with new business models, new technologies, new methodologies in development and manufacturing, unprecedented levels of automation, and the need for new infrastructure. What do these challenges mean for the future of our communities and how can they be meaningful to the enterprise?
Learn from enterprise practitioners, technical experts and executives how to solve real-world problems affecting our communities by harnessing disruptions in data, artificial intelligence, machine learning, and cutting-edge technologies. Workshop real-world applications with other attendees, like deep learning, sensor fusion, data processing and AI, automotive camera technology and computer vision algorithms, and reinforcement learning.
Smart Cities / Mobility Ecosystems are two-day events hosted in quickly changing urban centers. Over 50% of our 150 attendees at each conference are data decisionmakers (Sr. Data Scientists and above).
A sample of the topics covered
Smart Cities
Key emerging technologies and applications
Best practices and use cases
Balancing the open data needs of government with Privacy/security concerns and best practices for Smart Cities
Regulatory issues and smart city rollouts, public/private partnerships
Addressing data knowledge gaps in government
Cities as drivers of innovation, inclusive prosperity, and quality of life (in homelessness, inequality, and access to health care)
Cities and economic sustainability
Quantifying Resilience across demographics
IoT, 5G, and the power of decentralization
IoT cybersecurity and solutions
Inclusive sustainability through digital engagement
Citizen-service and open data
Inclusion vs. ROI in improving mobility ecosystems
Turning smart cities into smart regions
Accelerating smart city evolution through attracting investment
Balancing the open data needs of government with Privacy/security concerns and best practices for Smart Cities
Building better municipal workflows
Market trends and growth drivers – how enterprises gain from a connected community
Climate change, and specifically water rise, as near universal challenges for municipalities
Mobility Ecosystems
Key emerging technologies and applications
Inclusion vs. ROI in improving mobility ecosystems
5G, connected vehicles and the power of cloud
Insurance and liability when AI is at the wheel
Building the data infrastructure to support autonomous vehicles
Design around data
Testing and data collection
Ethical challenges in designing a driving AI
Bridging the gap between connected and fully autonomous vehicles
Privacy, security in connected vehicles
AI and the changing economics of car ownership
Adapting road infrastructure and laws to accommodate human and non-human drivers
AI and machine learning of autonomous systems
Autonomy Use Cases
Challenges in the race to autonomy