Three Key Strategies for Building Strong IT Teams

The rapid rise of artificial intelligence (AI) is urging Chief Information Officers (CIOs) to rethink their strategies, redefine IT’s role, and build teams that can drive their organizations forward. As the bridge between technology and business, CIOs must guide AI investments and lead implementation efforts. To succeed in this new era, CIOs need to create teams equipped to handle the transformative potential of AI.

Three Key Strategies for Building Strong IT Teams Step into the Role of Change Agent

In light of AI’s rapid development, CIOs need to move beyond traditional IT responsibilities and embrace their role as agents of change. This requires them to make decisions with a clear understanding of the broader business impact and to communicate the value of new technologies in ways that resonate with all stakeholders. By fostering this mindset, CIOs can create a culture that encourages IT teams to think creatively and thrive in an ever-changing landscape.

To succeed as change agents, CIOs should focus on building versatile teams with diverse skill sets. Recent surveys highlight the growing need for professionals with broad abilities, indicating that adaptability will be a key factor for success in the AI-driven future. Developing teams that can seize the many opportunities AI brings is crucial.

Foster Business Understanding with Data Literacy

Data literacy is foundational to maximizing AI’s potential, yet many IT leaders face a gap in data skills within their organizations. Studies show that a large portion of data workers are unaware of data’s importance, and even fewer have access to the resources they need to succeed.

To close this gap, IT teams must develop a deep understanding of data-driven tools and analytics, enabling business users to assess both their needs and technical challenges. It's not just about providing access to data—teams must also be trained in data literacy. With this knowledge, IT professionals can guide their colleagues to use data effectively, reinforcing their role as the organization’s data stewards.

Additionally, modern IT teams must stay informed on the ethical and legal aspects of AI, including intellectual property and data privacy concerns. CIOs must ensure their teams develop solutions that foster growth while complying with regulatory and ethical standards.

AI is much more than generative technologies—it’s an evolving field that requires continuous learning. CIOs should partner with academic institutions, participate in industry groups, and attend relevant conferences to stay on top of the latest developments.

Commit to Ongoing Learning and Coaching

For IT teams, the learning process must go beyond acquiring technical skills and include practical experience. Teams focused on risk management will be vital to the success of AI initiatives, which will inevitably involve trial and error. Accepting failure as part of the innovation process is essential to building resilience within the team.

CIOs should provide clear guidelines for their teams, outlining ethical standards and policies around data and AI usage. These frameworks will help ensure that innovation occurs within safe and responsible boundaries, adapting as technology evolves.

A Vision for the Future CIOs have a unique opportunity to shape AI strategy, build the right teams, and cultivate a culture of ongoing change within their organizations. By navigating these challenges effectively, CIOs can equip their teams to harness AI’s potential, positioning their organizations for success in this rapidly changing environment. A forward-thinking approach to team development will ensure that businesses can thrive in the AI age.

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