With the U.S. and Canada being such accelerators for tech innovation, as you might expect the Americas region as a whole is projected to reach 32% of the global smart cities information and communication technologies (ICT) spend by 2023, or $60.6 billion, according to the IDC.
Smart city transportation is an ever-evolving category with many names. City transportation assets are basically cars, scooters, roads and public transit (trains, buses, etc.). But injecting “smart” into the equation opens the door to a whole host of other possibilities like autonomous vehicles, V2X (vehicle talking to everything), smart parking, multi-modal transit, traffic management, e-hailing and more.
When one of these models also includes data on how the process (or thing) works and develops over time, it is a digital twin. For example, a digital twin of a smart building would include real-time environmental and operational data on energy use, temperature, humidity, occupancy, security incidents, maintenance needs, external weather patterns and more.
For Federal agencies accustomed to building their own, independent IT shops where data is siloed to each agency, these mandates may be a tall order to fill. So how can they succeed?
The promise of smart cities has been captivating the technology industry for more than a decade. The idea is simple – embed smart technology everywhere to make your city better and your citizens healthier, safer and more prosperous. While adoption has been slower in some regions, that has not been the case in Asia-Pacific (APAC).
Meeting the new AI mandate is a tall order for U.S. Federal Government agencies, with a lot at stake. It not only requires investment in AI and cognitive technologies, but a focused strategy on how to integrate them with other technologies (e.g., cloud, data management, analytics and cybersecurity) for governments to succeed in an increasingly digital world.
For most, “analytics” represents a broad term, and rightfully so. As the prevailing winds of digital transformation continue to push interconnection to the digital edge, a plethora of real-time analytics requirements (and capabilities) have irreversibly raised the ante for immediately available insights on topics as far ranging as petroleum futures and retail purchasing trends to the depths of cyber security counter-intelligence.
The GXI report also predicts that the direct Interconnection with Cloud & IT Services will proliferate at a 98% CAGR, as both private and public sector industries leverage hybrid multicloud architectures for digital business scale and agility.
On the state level, cloud adoption is lagging. A full one-third of state government IT systems are at least 16 years old, according to the Center for Digital Government. Meanwhile, federal agencies are running out of time to incorporate the public clouds into their IT strategy.
The shift from in-house IT to a public, private, hybrid or multicloud environment can be daunting for any IT team, whether they are working in the private or public sectors. This is why cloud enablement training and services are critical to helping any organization ensure a successful cloud deployment.