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The original SMART system was designed in the 1990s to help computer users avoid unexpected hard drive crashes. This idea of “Self Monitoring, Analysis, Reporting Technology” has grown in the decades that followed. This concept, with a lowercase version of its name, is used today for everything from coffeemakers to buildings and sustainability efforts.
Smart devices are easily integrated into people’s lives. However, enterprises struggle to incorporate this approach into their organizational processes and practices. Smart devices and systems are more efficient and powerful thanks to technologies such as artificial intelligence (AI), internet of things, and machine learning. Complexity can hinder organizational efforts to be smart enterprises that are competitive and successful long-term. There are best practices that can be used to manage complexity.
1. Establish guiding principles
Enterprises run the risk of wandering aimlessly if there isn’t a map to help them find their way. Smart technologies rely heavily upon interconnectedness, so this step is especially important. A wrong turn could throw you off your feet.
An organization’s guiding principles should include
Construction –Incorporate sustainability in every step of the process; prioritize efficiency in all areas; secure the users’ needs; adapt to changing preferences; and engage with the user and community in a meaningful way.
Technology — Secure and protect all entry points through advanced cybersecurity; learn from data to anticipate the needs of users and facilities, and ensure accessibility and interoperability throughout the organization.
Experience — Create inclusive persona experiences for all affected stakeholders, from employees to customers to executives to communities; personalize user experiences; remove user friction and barriers; and develop an environment conducive to productivity.
2. Take a systems design approach
A new model is required to solve complex problems such as sustainability. It considers all the systems that are affected by the problem. Systems design can solve real problems, not just temporarily alleviate symptoms. Problems can be broken down into their component parts by enterprises. Large problems that seem impossible to manage are reduced into smaller, more manageable ones. Frameworks are used to organize the interactions that affect the system’s operation.
In this scenario, organizations consider the entire system, processes, and people that must be addressed, rather than focusing only on specific systems or use cases. Applied systems design considers interfaces, architecture and data points depending on the problem type and context.
In the end, this approach will lead to practical solutions that can be accepted by users and society in general.
3. Prioritize privacy
Privacy by design allows organizations to go beyond current regulations and policies. Privacy is an essential consideration in all phases of business, including the application and design stages. This is especially important in interconnected systems.
Privacy By Design encompasses a range of concepts, including
- Privacy — Make this the default mode.
- Functionality and data privacy — Value both equally.
- End-to-end security — Incorporate across the information life cycle.
- Transparency and visibility –Provide to all stakeholders.