In today's fast-evolving tech landscape, the role of IT professionals is transforming.
Traditional IT focused on maintaining hardware, networks, and basic software support—think server rooms, troubleshooting cables, and manual backups.
But with cloud computing, AI, automation, and data-driven decision-making, the modern workforce demands "digital employees": versatile pros who blend tech expertise with business acumen, agility, and innovation.
This shift isn't just a buzzword; it's a survival imperative. According to a 2023 Gartner report, 85% of jobs will require digital skills by 2030, up from 25% in 2015.
If you're a traditional IT worker eyeing this upgrade, here's a roadmap to reskill and thrive.
In the context of transitioning from traditional IT roles—focused on hardware maintenance, basic networking, and manual processes—to becoming a "digital employee"
Who leverages AI, cloud, automation, and data-driven insights, firms like KNW Technology Consulting play a pivotal role. Based in Kuala Lumpur, Malaysia,
KNW specializes in digital transformation for SMEs, startups, legacy enterprises, and micro-factories across ASEAN.
They emphasize integrating Industry 4.0 technologies like AI, IoT, RPA, and blockchain to modernize operations. While their core offerings target business transformation, they indirectly and directly support workforce upskilling to bridge the IT-to-digital skills gap.
Drawing from their services and broader industry practices, here's how they (and similar consultancies) make it happen.
Common hurdles: Time/cost constraints? KNW uses micro-learning and employer-tied programs. Skills obsolescence? Continuous access via alumni networks.
Payoff: Clients see 2x promotion rates and 50% downtime reductions, per McKinsey and KNW cases. In ASEAN's booming $17B data center market, this positions firms for global scalability.
KNW doesn't just consult—they catalyze evolution, much like how tech firms use AI for predictive upskilling. If you're in Malaysia/ASEAN, reach out via their site for a free assessment. For global parallels, check McKinsey or IBM models. What's your biggest IT-to-digital hurdle?
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