Data is an invisible force of every business. A data-driven decision can make a huge difference in a company’s prospects. It can help companies to keep up with the competition and prevent falling behind. To make things easy for you, we have discussed steps in building an AI-powered organization.
Clarify About Artificial Intelligence
Most articles on artificial intelligence focus on spectacular uses of the technology. It leads to people having reservations about the technology. The first step in building an AI-powered organization is to explain in simple terms what automated machine learning epitomises about and how it can increase their work efficiency. You can explain three AI benefits to your employees.
- Foresight – AI can help in maintaining high productivity levels. The technology can accurately predict machine failures that will help them take preventive steps.
- Assistance – the technology can automate time-consuming processes such as inventory tracking, general customer service interactions, and claims to process. AI is capable enough to play a pivotal role in helping them answer questions by giving them ready access to data.
- Expertise– On the factory floor, AI can help determine the root cause of machine failures and reduce instances of operational bottlenecks when trained engineers are not available on the factory floor. In management, AI can help sales employees replicate tactics used by top sales performers. For example, technology can give suggestions on what to say, which clients to visit, and what time to visit to improve the sales team’s performance.
Prepare Few AI Advocates
The next step involves preparing a few AI advocates who can instill a widespread understanding of automated machine learning in the organization. Remember, it is not a substitute for formal training that involves tailored journeys to employees to identify AI opportunities at the workplace. Organizations can conduct monthly seminars, ½ day education sessions, small group discussion sessions to build support for embracing AI technology in the workplace.
Strengthen Current AI Efforts
Besides preparing a few AI advocates, you need to encourage employees to use existing business intelligence tools like visualization software. You need to promote a culture of exploration of data necessary for building an AI-driven company.
When employees develop a habit of using self-service analytical tools, they create a tendency to dig data for hypotheses. They begin to trust the data more, which is the first step in building a data-driven organization. As the culture of using analytical tools spreads across the organization, employees will reach a stage closer to using AI systems.
Explain the Common Ground to Using AI Systems
You need to foster trust in employees for the AI systems. Most organizations follow a path of transparency in their AI-based decisions. Some of the reasons to employ AI-based systems are meeting regulatory requirements. The organization needs to ensure all employees understand how the AI shapes their organization and makes it future-ready. The leaders can give employees more significant insights into supply chain decisions and how AI systems can make better decisions that offer better results in their existing budgets.
Personalize the Advantages
When your organization puts AI-enabled processes in place, you need to also ensure they provide some direct value to the employees. You need to communicate these benefits through thought leaders. For example, if you implement AI-driven sales processes to increase retention, the sales rep would expect it to affect their take-home incentives.
The technology leaders need to make the sales rep understand the AI-enabled tool had predicted a specific customer would stop ordering after some period. It was only due to the insights the sales rep were able to make new sales propositions that helped in sales and customer retention. When employees understand how AI systems will benefit them, they are more likely to become part of the new change.
To sum up, automated machine learning will play a pivotal role in helping businesses unlock the potential of corporate data and use it to fuel their business growth.