Wavity AI: A Paradigm Shift in IT

Now, more than ever, IT teams find themselves at the forefront of change, grappling with increased complexity and information overload.

The good news?

Artificial Intelligence (AI), particularly generative AI, is offering a promising solution to alleviate the burden on overworked IT professionals.

Changes in the working environment

Over the past three years, the way we work has undergone a profound shift, with space and time evolving from fixed constraints to flexible parameters. This newfound flexibility, however, has brought about its own challenges — a surge in information and communication, often overshadowed by the drudgery of administrative tasks that hinder deep, value-creating work.

Enter AI as a game-changer, promising not only to overcome these challenges but to revolutionize the way we work.

Unlike the AI we've grown accustomed to in our daily online experiences, the convergence of powerful foundation models and natural language interfaces has ushered in a new era: "AI as copilot."

This marks a significant shift in the interaction model between humans and computers, empowering natural language to become the most potent productivity tool at our disposal.

Colette Stallbaumer, General Manager of Microsoft 365 and the Future of Work, aptly captures the essence: "I believe AI will help free us to do the work that matters."

But how do we ensure that managers, from the front lines to the C-suite, thrive in this age of AI?

A Harvard Business Review survey of 1,770 managers from 14 countries reveals five key practices essential for success in the era of AI. Notably, managers spend over half of their time on administrative tasks, precisely the areas where AI is expected to make the most significant impact.

The survey emphasizes that while AI can automate many routine tasks, human judgment remains irreplaceable. Managers' unique blend of organizational knowledge, cultural understanding, empathy, and ethical reflection is the bedrock of effective decision-making. As AI takes on routine tasks, managers need to hone judgment-oriented skills such as creative thinking, experimentation, data analysis, interpretation, and strategy development.

Crucially, successful managers view AI not as a threat but as a colleague. By treating intelligent machines as allies, managers recognize the value they bring to decision support, data-driven simulations, and search and discovery activities. An impressive 78% of surveyed managers express trust in the advice of intelligent systems for future business decisions.

In light of these insights, here are three actionable steps for managers and leaders:

1. Explore Early: In an uncertain future, managers must experiment with AI, applying insights to the next cycle of experiments.
2. Adopt New KPIs: AI introduces new criteria for success, emphasizing collaboration capabilities, information sharing, experimentation, learning and decision-making effectiveness, and the ability to seek insights beyond the organization.
3. Develop Skills: Leaders should invest in training and recruitment strategies focusing on creativity, collaboration, empathy, and judgment. A diverse workforce and management team, balancing experience with creative and social intelligence, will foster sound collective judgment.

At Wavity, we're on a mission to empower IT teams to navigate the future of work seamlessly. Join us in embracing the transformative power of AI, unlocking new possibilities, and liberating teams to focus on the work that truly matters.

Book a Demo for our AI-Powered Business software here.