Artificial intelligence (AI) has morphed from becoming an engaging, technologically-advanced tool that shapes future into a core function, driving innovations and ideologies in the business world. Especially now, when businesses require high agility to address core business needs and complexities, AI provides the type of robustness that boosts competitive advantage for leaders. However, with the increasing advent of AI tools to create seamless business transition within various organizations, the question remains whether business leaders, from C-level executives to directors, are buying into the importance of artificial intelligence. And, are leaders fully understanding the positive impact that artificial intelligence has on their staff?
Industries across the board, particularly the tech industry, have experienced employee burnout and churn. Facing worries about turnover and employee retention, agile strategies like augmenting staff help business leaders address their skill shortage, improve productivity, and make their entities more risk-resilient. C-suite involvement and an improved understanding of technology advancements are necessary for staffing-as-a-service to work well.
How Much is the C-Suite Involvement With AI?
C-suite executive involvement requires a deeper understanding of how AI tools work best
C-level executive involvement in artificial intelligence initiatives has grown, particularly after the 2008–2012 global recession, as leaders seek more flexibility with their business processes.
According to a study by Appen, many top executives are heading key AI projects for their respective companies, seeing increasing value in how artificial intelligence boosts business transition. Around 71% of respondents in the survey indicated that their company’s artificial intelligence initiatives were owned by C-level executives, ranging from CEOs, chief technology officers, and chief financial officers. The 71% in the above-mentioned surveys doubled others conducted the previous year, with chief technology officers, in particular, causing the jump in AI adoption across businesses.
The number indicates a shift in thinking for business leaders who wish to adopt machine learning for a range of key business functions, including sales forecasting and product development. Furthermore, business leaders wish to respond quicker to market trends and become one step ahead of their competitors in the marketplace. A failure for leaders to become technologically savvy causes their business ventures to fade into obscurity and lose their market share. C-level executives all realize the importance of machine learning as there is so much data to analyze daily. With constant demands coming from various angles, artificial intelligence tools reduce the amount of time spent assessing data and use it effectively to improve their workflows. Around 54% of executives say that artificial intelligence tools have increased their business’ productivity, while close to 80% of executives believe AI will make jobs simpler for their staff, driving efficiency.
Staffing-as-a-Service Blends Automation with Productivity
Executives, human resources, and business leaders, in general, are quickly realizing how valuable artificial intelligence tools are for driving productivity and profitability. Staffing-as-a-service is one measure business leaders target to accelerate workforce efficiency. Staffing-as-a-service, also known as workforce-as-a-service (WaaS), is an extension of software-as-a-service (SaaS), with needs cultivated to meet specific organizational needs, particularly cultural and technological needs. Staffing as a service is one of the biggest drivers of business transition in recent memory, providing trouble-free IT environments for organizations and optimal security measures.
Staffing-as-a-Service is completely managed, from provisioning to ongoing support, helping IT operations focus on value-added tasks and improving their time management. To successfully implement staffing-as-a-service, experts meet with various stakeholders throughout an organization, explaining the requirements, adding clarity to business objectives, and assessing the needs of IT tools. Strategic analysis is subsequently made. During the analysis, the necessary technology is reviewed. Then, the environments where staff best work is assessed, leading to hardware and software configuration ahead of implementation.
How Does Staffing-as-a-Service Create a Strategic Advantage?
Staffing-as-a-service focuses on optimizing digital staffing options that solve problems, make better use of resources, and improve organizational maintenance.
With staffing-as-a-service, experts will solve any problems that arise, then optimize equipment according to any extra services that have been used. With staffing-as-a-service, all equipment is constantly in operation and consistently monitored, while proactive maintenance is done whenever there is a data issue. Furthermore, equipment used for staffing-as-a-service renders internal IT equipment obsolete for organizations. From a strategic point of view, business leaders from C-level down immediately gain technological advances, can create more valuable tasks, and replace outdated equipment whenever there are pressing concerns.
Another key strategic advantage that staffing-as-a-service provides is that it optimizes data management. Data deletion services typically accompany staffing-as-a-service, with data deleted correctly to avoid any legal issues and ensure business leaders have only important, updated information available to them when they need it.
For staffing-as-a-service to truly work, its strategic benefits need to be more embedded in every aspect of organizations. The surge in value-add from AI tools provides implementation issues for leaders, with terminology often confusing them. At its most basic level, AI tools require some amount of expertise to understand. And, business use cases for artificial intelligence are unknown for business leaders. Add the fact that big data adoption has increased in recent years, with an increased need for a transition between stakeholders and data scientists. Some specialists have suggested that organizations consider investing in a Chief AI Officer (CAIO) position to help teams support technology advancements and ensure a seamless rollout of tech initiatives. This kind of adoption could make staffing-as-a-service easier to implement.
Artificial intelligence has simultaneously reinvented how human resources operate. HR practices improved thanks to AI tools analyzing, forecasting, and subsequently diagnosing data to help HR leaders make more thoughtful decisions. The use of staffing-as-a-service improves several business functions for HR departments including, but not limited to:
HR teams increasingly express their confidence in artificial intelligence integration, with more data-backed resources and insights to count on as they make key business decisions. Such resources and insights are gathered directly from employees, delivering better working experiences while connecting workers at different levels more effectively to drive better results. Plus, AI tools are paving a future for increased learning and development programs, creating more agile, adaptable programs that meet employees' unique needs and use data/analytics to drive business impact.
To learn more about how you can transform your company through the implementation of artificial intelligence,
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Content Writer, Aviskaran Technologies