Guest Post by Elijah Dawson
With the advancement and wider availability of artificial intelligence and automation, it’s no wonder that businesses of every size and industry have adopted its use. Machine learning allows technology to imitate intelligent human behavior, drawing on data and making accurate outcome predictions. Here’s how it could help your business run more efficiently.
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Team Cooperation
For too long, differences in opinion have caused ruptures in the team dynamic. With adaptive insights, machine learning removes much of the ambiguity involved in the decision-making process and, therefore, provides a clearer route forward for your team that is less debatable. By analyzing and applying real-time data (often from customer reports, invoices, sales info, and more), the team will have clear performance data and even prescriptive solutions rather than speculations to argue over.
Machine learning by its very definition learns on its own, over time, without instructions. For many businesses, this is an advantage not just for performance but also for team cooperation. As the AI evolves, so must the affiliated workers in charge of drawing conclusions from its data. Stagnation, indecision, hesitancy, and laziness are all improved by this type of technology which doesn’t slow down or second guess itself.
Work Culture
Using Business Process Management (BPM), it’s possible to optimize processes and workflows so that employees can focus on more demanding, important tasks, rather than repetitive or menial ones. This has an immediate advantage in that employees will face less drudgery during day-to-day operations, but it will also improve overall work efficiency and reduce errors. BPM is an operations management framework and so requires regular monitoring and adjustment if you want to ensure its effectiveness.
It’s also possible to apply machine learning directly to the work culture itself. By analyzing email conversations, project management software, and biometric data, it’s possible to adapt daily schedules to promote belonging amongst employees, identify ‘red flag’ behavior, and structure operations to be more engaging. The use of BPM and machine learning within the context of human resources is increasingly common and shows promise to not only improve morale in the workplace but also reshape work cultures entirely.
Skill Development
Onboarding and team training are important considerations for any expanding business with long-term ambitions. Data analytics can allow companies to develop truly adaptable training programs that utilize real-time information and ensure the content in each session is up-to-date, flexible, and relevant to the evolving market. Better still, the bulk of typically administration-heavy tasks that are common when onboarding employees can be automated instead of managed by an individual, whose time would be better spent elsewhere.
In addition to this, it’s now possible for the AI itself to do the teaching using a feedback loop and reacting to the trainee’s learning style and cardinality, therefore maximizing engagement. This is a surefire way to reduce any biases or avoid rigid teaching styles that favor some students over others. You also have the advantage of being taught by a non-judgmental computer entity - this means that learners don’t need to feel self-conscious about asking questions or having a point repeated.
Machine learning, when applied correctly, will continue to improve itself exponentially. An AI with constantly increasing intelligence and growth efficiency will never cease to suggest improvements and automation opportunities for your business and its daily operations. All that remains to be seen is how you respond.