Creating and sustaining a culture of innovation across the enterprise remains one of the most challenging aspects of leadership. But what if all your employees could innovate all the time?
The answer is: they can.
The cognitive era is upon us, and the ability to augment and scale knowledge based tasks that have historically required human intelligence with new forms of machine intelligence is driving a new transformation strategy to help businesses overcome obstacles to market success.
This next wave of business transformation is creating a new class of digital workers with enhanced human intelligence, putting unconstrained innovation within the reach of any enterprise.
With cognitive software at their side, generalists can become specialists, contributing new insights to the enterprise. New employees can quickly assimilate enterprise culture and begin delivering on key performance indicators.
Scaling expertise also becomes easier, with cognitive systems transferring best-practices from top performers to the entire enterprise. In fact, leading medical institutions are already scaling expertise overseas in this manner, allowing local doctors to provide care previously unavailable in these markets.
In preparing to embrace automation, a far-reaching and holistic strategy is key. CIOs should consider the following four phases:
1. Innovation discovery. Take time to examine how the disruption of cognitive automation will benefit your processes, people, and culture. With a clear understanding of these factors, your organization can prepare for significant transformation.
2. Choose the right platform. AI and machine learning platforms must align with your strategy for creating enterprise value. This means balancing quick wins with long-term game changers, and ensuring that platforms complement current internal capabilities.
3. Create a strategy and roadmap. Include prioritized use cases, transformative opportunities, quantified benefits and high-level solution architecture. Develop user personas to show the impact of digital workers on employees, using leading-edge methodologies to drive user adoption at every stage.
4. Start simple. A portfolio approach during implementation can minimize risk during transformation. Starting with simple cognitive systems that provide quick value will support more complex subsequent projects that can provide higher business impact.
A successful and sustained transformation will also hinge on revisiting company strategy and innovation models to understand how emerging automation platforms can be leveraged for maximum efficiency and new competitive advantage.
In addition, a change management and governance plan endorsed by leadership must underpin all four phases of the transformation journey to manage widespread transformation and ensure buy-in across the enterprise.
The path to widespread innovation has never been clearer.
Learn more about our Cognitive Automation insights.