Cybersecurity, cloud and artificial intelligence are some of the digital skills that will become increasingly important in 2023, according to some experts.
Data and digital skills are among the fastest growing skills that Aussie employers are looking for. So, if you’re looking to upskill, where can you start?
We asked six digital business leaders to share their top tips - for both employees and companies.
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Jane Livesey, Cognizant
The exciting thing about digital skills is that they can be applied to every industry. There is a need for skills in the areas of data, cloud and AI, with each of these areas providing a wide variety of roles to lean into.
One way to break into these areas is to start small. For example, look to adopt and refine entry-level digital skills like data entry that can, with some additional upskilling, lead to a potential career in digital business analysis.
Jane Livesey is the CEO for Australia and New Zealand at Cognizant.
Luke Power, Trellix
Australia has seen a 13 per cent increase in cybersecurity attacks this year, resulting in a surge for talent to help protect the country's critical infrastructure. As such, businesses are aiming to upskill existing cybersecurity employees.
While online courses are practical, encouraging teams to ‘job-shadow’ or kickstarting mentoring programs will help to stimulate knowledge sharing within the cybersecurity industry.
Luke Power is the managing director for Australia and New Zealand at Trellix.
Richard Gerdis, LogicMonitor
Upskilling is a sure-fire way to ensure employees execute work that is not only impactful, but meaningful. With a growing need for skills in areas such as cloud and artificial intelligence (AI), they can now ‘modernise’ their CV and skillset to do just this.
Allocating a few hours each month to dedicated online resources will propel employees and their career trajectory in the direction they’re looking to go.
Richard Gerdis is the vice-president for Asia Pacific and Japan at LogicMonitor.
Cindi Howson, ThoughtSpot
The skills needed for an effective analytics engineer are software-engineering practices, great collaboration skills, SQL proficiency, dbt, and an understanding of data. These are the same skills needed to design and deliver quality data models.
Analytics engineers who can build reusable and scalable data catalogs, semantic layers, and data models will further extend the gap between data leaders and data laggards, scale analytics capabilities, and succeed with self-service analytics.
Cindi Howson is the chief data strategy officer at ThoughtSpot.
Angeline Maronese, Rackspace Technology
Organisations need to focus on how they are retaining their top performers, developing future leaders, and providing them support and time for upskilling.
Embracing a pod of experts to bridge remaining skills gaps can be a key solution. With new, smarter sourcing standards to deliver support, these teams can act as a true extension of their customers' business and their internal teams, freeing up time for workers to train in the in-demand skills crucial to becoming specialists.
Angeline Maronese is the managing director for Australia and New Zealand of Rackspace Technology.
Aaron Skonnard, Pluralsight
To upskill successfully, organisations need to provide content that is designed to deliver on specific business outcomes and is customised in terms of breadth and depth because, while some individuals need to understand technology at a high level, others need content that goes into the intricacies of the topic.
Different learning modalities must also be considered. By using a combination of on-demand video content and immersive learning experiences, individuals can apply what they’re learning in risk-free environments that are specific to what they’re working on, like cloud or cybersecurity.
Aaron Skonnard is the CEO and co-founder of Pluralsight.