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How Machine Learning is transforming the future of our urban communities

June 3 @ 8:00 am - June 4 @ 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.


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

How Machine Learning is transforming the future of our urban communities


June 3 @ 8:00 am
June 4 @ 6:00 pm


New World Center
500 17th St
Miami Beach, FL United States
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