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Workforce 4.0

How AI, the Home Office, and the Gig Economy Are Disrupting the Status Quo

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Workforce 4.0

著者: Gerard Szatvanyi
ナレーター: Alan Adelberg
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What’s coming next for today’s workforce, and the companies behind them? For those eager and willing to adapt, the possibilities are nearly endless, says author Gerard Szatvanyi. Recent advances in technology have led to new trends, and this global transformation holds tremendous potential. Nearly every industry will be impacted, and organizations that set the right vision could benefit from breaking into new markets and creating specialized niches. Organizations have the opportunity to utilize AI solutions to equip team members and uplevel their skills. Along the way, they’ll need to think through the purpose of the office. It will also become increasingly important to follow smart protocols when hiring virtually and to take care as they operate in new regions to ensure these places align with their values.

As AI moves into the lives of everyday workers, companies can be assured that the human touch will still be essential. Even as machine learning and automation reduce the need for intense labor, team members will be tasked with higher level responsibilities, including the job of supervising AI and making final decisions. Firms can expect to see benefits ranging from increased productivity, higher rates of worker satisfaction, improved efficiencies, and the potential to produce new revenue streams from specialized products and services. Having an open mind and a willingness to think differently could help organizations increase their chances to gain—and hold—a strong position in their respective industries.

With more than 20 years of experience in the tech industry, Szatvanyi has long been fascinated with digital solutions and their impact. As founder of OSF Digital, a global IT services company, he has worked with clients and brands around the world, consulting and directing digital initiatives to equip organizations with the tools they need to reach consumer expectations and demand.

©2023 Gerard Szatvanyi (P)2023 Advantage Media Group, Inc.
コンピュータサイエンス 未来学 機械理論・人工知能 社会科学

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