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The original SMART system was designed in the 1990’s to help computer users avoid unexpected hard drive crashes. In the decades that followed, the idea of ”self-observation, analysis, and reporting technology” developed and expanded over the magnetic platforms over the 1st and 0th decades. The concept – and the lowercase version of the name – now applies to everything from coffee makers to building sustainability efforts.
Smart devices are easily assimilated into the lives of consumers, but enterprises often work hard to integrate this approach into organizational processes and practices. Technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and machine learning make smart devices and systems more powerful and efficient. Complexity hinders organizational efforts to become the smart enterprise needed to compete and succeed in the long run. However, best practices have been developed to overcome the complexity.
1. Establish guiding principles
Enterprises run the risk of wandering aimlessly if they do not create maps to guide them in the right direction. This step is especially important for smart technologies as they rely heavily on interconnectedness. One wrong turn can throw you off completely.
The organization’s guiding principles should include the following:
Construction Involve durability in every step of the process; Prioritize efficiency in all areas; Protect users’ needs; Adaptation to changing preferences; And connect meaningfully with the user and the community.
Technology – Secure and secure all entry points through Advanced Cyber Security; Learn from the data to anticipate the needs of users and features and ensure accessibility and inter-functionality throughout the organization.
Experience – Create inclusive personality experiences for all affected stakeholders, from employees to customers to executives and communities; Personalize user experiences; Remove user friction and obstacles; And develop a conducive environment for productivity.
2. Take a system design approach
Solving complex problems such as durability requires a new model that takes into account multiple systems where the problem exists. System design allows you to solve real problems instead of temporarily eliminating symptoms. The enterprise can exchange problems in their constituent elements. Larger, apparently disorganized problems are transformed into a series of more managed problems. The framework then helps sort through the tangle of interactions that influence how the whole system works.
In this case, organizations look holistically at systems, processes, and individuals that need to be addressed – rather than focusing on individual systems or cases of use. Applied system design takes into account the interface, architecture and data points depending on the type and context of the problem.
Ultimately, this approach will result in practical solutions that will be accepted by users and society as a whole.
3. Prioritize privacy
Principles of privacy by design allow organizations to go beyond existing policies and regulations. In this approach, privacy is a key consideration during the design and architecture phase for all business processes, applications, products and technologies. This is especially important in interconnected systems.
Privacy by design embraces a variety of concepts, including the following:
- Privacy – Make this the default mode.
- Efficiency and data privacy – Value both equally.
- End-to-end security – Incorporate the whole information into the life cycle.
- Transparency and visibility – Provide to all stakeholders.
4. Define and apply clear safety guidelines
Like privacy, security must be considered at all stages to ensure the user has confidence. Safety through design provides a way to develop clear guidelines.
Identity services Required to authenticate users in centralized or federated models. These core services must provide flexibility to key stakeholders – employees, customers, partners – and anytime, anywhere.
Zero Trust Architecture Traditional perimeter-based security is needed to bridge the gap, which was not designed with today’s hybrid cloud and edge systems in mind. This approach allows the enterprise to apply security controls and checks across all architectural levels and interactions.
Multi-cloud and data security Different tools and strategies are required. Enterprises can benefit from autonomous technologies that maximize security as code, policy as code, and monitoring as code.
5. Adopt micro-change strategy
The enterprise often struggles with change because the barriers are too high – or at least it seems that way. However, more agile approaches make more progress than if you tried to climb a mountain in a single leap. A series of small, irreversible changes can produce compound effects and give exponential results.
Long-term goals are divided into achievable waypoints, with employees being encouraged by the nudge rather than the show. Every success builds on another. Obstacles to change management begin to fall.
This philosophy is critical to smart technology and sustainability efforts. The rapidly evolving nature of technology, such as AI, IoT, and the cloud, lends itself to smaller and more frequent advances. In addition, sustainability goals are long-term, with many intermediate measures in between.
This strategy can also address common change management problems, in which employee anger and resistance minimize potentially effective plans.
Corey Glickman Infosys is head of Global Sustainability and Design Consulting Services,
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