As the CIO of a growing manufacturing company, I see that many companies, including ours, face a critical problem: the lack of skills impacting critical technologies. For our company, as for any modern business, these gaps represent formidable challenges that must be addressed to maintain a competitive advantage and ensure a robust technology infrastructure. Using my company’s experience as a starting point, I’ll explore the areas where these gaps are most pronounced: cloud computing, cybersecurity, artificial intelligence (AI), data science, and ERP systems .
cloud computing
After my company migrated From an on-premises enterprise resource planning (ERP) system to a cloud-based ERP, our dependence on cloud technology has increased. System architecture and data architecture have become much more complex, and many hidden costs create challenges. It would be difficult to rely entirely on third-party partners to manage all of this, so we need to upskill internally.
- Required Skills: Knowledge of cloud service providers (AWS, Microsoft Azure, Google Cloud Platform), cloud architecture, migration skills and cloud infrastructure management.
- Impact of the skills gap: Can slow down migration projects and prevent effective scaling of cloud services.
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Cyber security
It’s a never-ending race to stay ahead of bad actors. The level of expertise needed to combat hackers and Ransomware is far too high for my company to maintain entirely in-house. We rely on third-party managed service providers for many of our cybersecurity needs. Even with all of this, my team still needs cybersecurity training and skills.
- Required Skills: Expertise in threat analysis, mitigation techniques, security protocols, incident responseand regulatory compliance like the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPPAA).
- Impact of the skills gap: Leaves organizations vulnerable to data breachesransomware attacks and other security threats, which can cause significant financial and reputational damage.
Artificial intelligence (AI)
I have wanted to introduce AI into our company for several years, but we lack the in-house expertise to get started. Hiring an outside company for an expensive project seems risky without a good understanding of the technology. Recently, something new Generative AI Technology has made it easier to use some AI, but jumping into it more aggressively requires expertise we don’t have. We are working to learn more and are also looking for qualified recruits.
- Required Skills: Master in machine learning algorithms, neural networks, natural language processing, computer vision, and the ability to apply these skills to solve real-world problems. Programming skills in Python, R and knowledge of TensorFlow or PyTorch are also essential.
- Impact of the skills gap: AI is applicable across industries, from healthcare to finance to retail. The lack of skilled AI professionals can hinder innovation, product development, and the implementation of effective AI tools.
Data Science
Self-service data analysis has become much easier thanks to tools like Power BI. However, integrating all the data that business users need to analyze into the right models requires a higher level of expertise. We’ve found that some power users in business units outside of IT can handle a lot of the data analysis, but there are still projects that depend on a degree, or at least extensive training, in data science. This expertise will also help ensure that analyzes are carried out correctly.
- Required Skills: Ability to analyze and interpret complex data sets, use statistical tools and algorithms, and know programming languages like Python and R. Skills in data visualization and using platforms like Tableau or Power BI are also precious.
- Impact of the skills gap: Data science skills are crucial for making informed business decisions, optimizing operations and improving customer experience. The skills gap in this area can lead to missed opportunities for growth and efficiency.
ERP systems (SAP, Oracle, Dynamics 365, etc.)
ERP systems have been around for a while and many companies still use legacy on-premises systems, for which it is increasingly difficult to find experienced workers. Even for the newest cloud-based ERP systems, there is still a significant learning curve to mastering their customization, maintenance, and support. Finding experienced workers is a challenge, leaving companies with the choice of hiring very expensive professionals or hiring someone with little or no experience and then training them on the ERP system. For my company, we chose to hire other talent and then train on our ERP system, Dynamics 365.
- Required Skills: Expertise in specific ERP systems, understanding business processes, system configuration, database management and custom development. Skills in migration, integration and updating of ERP systems are also sought.
- Impact of the skills gap: A shortage of qualified professionals in ERP systems can lead to operational inefficiencies, project delays, and the inability to leverage the full capabilities of the ERP software.
Fill gaps
Organizations can take proactive steps to address these skills gaps through targeted training programs, partnerships with educational institutions, and create clear career paths in these areas. Additionally, focus on reskilling and upskilling existing employees to meet the demands of these evolving technology platforms. For individuals looking to enter or advance in the IT field, focusing on these areas can provide significant career opportunities.
As a CIO, I recognize that closing these skills gaps is not just about filling positions; this calls for spearheading a culture of continuous learning and adaptation that aligns with our strategic vision. It’s about leveraging partnerships, nurturing talent from within, and ensuring our workforce is equipped to propel our organization into the future of a technology-driven business.
