From Digitization to Digital Adoption The Tech Revolution has Gathered Incredible Pace Investment in digitization accelerated as a result of the pandemic, and consumers and employees alike expect it to make the way they live and work easier. There is new urgency for organizations to upskill their people so they can translate data into insights, make data-driven decisions and combine the best of human and machine learning for new value creation. Source: World Economic Forum Future of Jobs Report 2020
Tech Accelerates | What Workers Want | Talent Scarcity | Companies Reset
As every aspect of life becomes more tech enabled, we must strengthen the connection people have with work and colleagues for improved productivity and creativity.
Machine learning and workforce data will enable prediction of potential performance, matching of individuals to ideal opportunities and will help people know themselves better than they ever did.
Intelligent machines and AI will enable people to specialize in human strengths – in empathy and honesty, judgement and creativity, coaching, compassion and more.
Source: ManpowerGroup Employment Outlook Survey, Q1 2022
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Advanced technologies are increasingly impacting how companies transform business models, enhance customer and employee experiences and become more data-driven.
But investing in and even deploying technology and innovation is the easy part. Digital-led transformation alone is no differentiator.
Human capabilities and having the right culture enterprise-wide to execute are key to tech adoption, speedy ROI and continuous transformation. All essential to lead to new value creation opportunities.
Using technology to reduce emissions, transform supply chains and nudge behavior. As tech giants compete to be the first to open up the metaverse the blending of the digital and physical worlds will emerge as one of the most important new trends, creating new opportunities to reimagine hybrid meeting and working with less environmental impact.
An increase in understanding of neurodiversity means artificial intelligence must have in-built benevolence filter in diverse talent, not filter out the atypical. Organizations will recognize value of the machine learning match and predictive performance so we can help people know themselves better than they know themselves, charting a pathway of employability, equity and increasing prosperity.
Source: ManpowerGroup MEOS Q1 2022 Survey
Organizations seek to balance higher wages with productivity growth. And policy makers prefer this dynamic because there are no current or latent inflationary pressures as the potential of the economy expands. Technology will unlock producing more with existing inputs or producing the same with fewer inputs.
Providing a seamless and scalable digital experience for employees will require changes in technology infrastructure, management practices and employee and customer engagement models. Workforce and talent data/analytics will be front and center in leveraging data and analytics to identify match for a role and predict potential performance. Employers will have even more data to manage and draw insight from as increased employee led data sharing and aggregation from data lakes accelerates.
Source: Harvard Business Review, Ace the Assessment