Every enterprise should be digitally transformed and done, for those who are early adopters and for those who are late adopters during the 2 years COVID-19 pandemic or known as Next Normal. Else, you most likely will difficult to catch up for what next, being the data-driven enterprise within the next 3 years or shorter.
The “smart” technology has been implemented into workflow and seamless interactions among humans and machines are one of the important key success factors (KSF) we now look forward to in every enterprise balance sheet. In another word, a portion of the said enterprise implements and leverages artificial intelligence (AI) and various smart “technology” to automated and get things done, without human involvement. Era of Great Resignation is exist with the reason and correlate, no just because of those workforce can not be cope with remote to work and nature of their work can perform remotely, it also due to massive investment in the smart technology and automation, result in the range of position become no necessary, as it been complete automated, or handle by artificial intelligence (AI) assist chatbot, to even photography creative expression, from as simple as replace the sky, to remove unnecessary human figure in the photo, all can be done at speed of click basis. Which significantly reduces the human time involvement in the certain work, for at least 20 – 30% compared with the previous and the past practice.
From the high level, enterprises expect to improve at least 20% earnings before interest and taxes (EBIT) contributed by those smart technologies implemented. The top management greatly improves their decision making with the precise data and on demand data analytics present in the business graphics and chart, to draw their decision.
Staff workloads can be automated and handled best by smart technology, including artificial intelligence so they are free up the time to perform higher value added business activities, such as innovation, collaboration, and communication.
The new data-driven culture is expected to forge and create new productivity breakthroughs regardless where the employee was, be it at office, on the go, or at home. In other words, anywhere workspace generation is becoming mainstream, modern and the future of work. If your employee is yet to upskilling or they are resistant to change, it is time to look at getting a younger generation of workforce who are more willing to adapt for the change.
The real time data process and on-demand data visualisation and presentment into business intelligence (BI) and value added data output is nothing news. More and more new types of databases have been used, from time-series, graph and NoSQL databases enabling more flexible and meaningful ways of organising data beyond the traditional way. Combining it with the AI-driven capabilities to discover new relationships in the new database types make it an even more precise and context specific decision based on the data-driven new generation of way we work. This enables very sophisticated simulations and what-if scenarios with machine learning to make business decisions, which shaped the quality of the decision as a result.
We expect DataOps (DevOps for data) and continuous integration and delivery processes and tools in the market, after the current secure DevOps, DevSecOps. API driven and allow flexible integration and make use of it to scale out more complex simulations and business intelligence quality of data visualisation will help to drive business enterprise who adapt it for the even faster and better decision making, such as alter the marketing campaign based on the real time data-driven result.
New role of chief data officers (CDOs) and their teams will expect to function and eliminate a lot of unnecessary positions within the enterprise, to manage data and its quality for the enterprise. The new data-ecosystem and data-sharing arrangements among each other will facilitate collaboration that fuel the data economy. This is the reason why you saw the rise of every enterprise wanting to offer all kinds of services and subscription to collect data, even willing to give it free and commercial use to make use of the big data for all kinds of data-driven projects.
With the huge amount of the data involvement, it become not practical for human intervention, dependency for automated system for get things done is keep rising. All the above changes are enabling once you become a digital enterprise, the very fundamental step 0, are you ready for it?
E-SPIN Group in the enterprise ICT solution supply, consultancy, project management, training and maintenance for corporation and government agencies did business across the region and via the channel. Feel free to contact E-SPIN for your project requirement and inquiry.
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