Can businesses stay ahead of the GenAI curve in 2025?

First up, enterprises must create a governance framework to operate this technology

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Managements must stay on the ball to ensure their AI projects are delivering on the promised innovation. But that shouldn't be their sole priority.
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Waking up five years from now, the morning routine will be powered by an invisible but indispensable assistant—an AI that schedules the day and anticipates our needs before we even think of them.

Our smart mirror will offer tailored health insights, the coffee maker will adjust to match our sleep quality, and the workplace environment will adapt to maximise our productivity. As GenAI quietly integrates into each corner of our lives, it is transforming into a sheer necessity.

The question is, how prepared are we to embrace its impact? For those who wait, the future could become a relentless catch-up game. But for those who act now, GenAI offers an unprecedented opportunity to redefine processes, rethink strategies, and create new value.

Navigating the terrain

The stakes of getting GenAI governance rights are high, and public-private cooperation is key to achieving this. Without cooperation, we risk exacerbating income inequality, market monopolization, and deepening global disparities.

In the financial sector, for example, a governance framework could mean life or death for the integrity of data security. Without ongoing governance, AI could soon find itself up against increasingly sophisticated tactics, risking customer trust and financial loss. Therefore, governance must be agile, with an ability to adapt as GenAI learns, ensuring it continuously addresses evolving challenges in real-time.

A robust governance framework is important for guiding the deployment and management of GenAI initiatives. This should include flexible - yet stringent - guidelines outlining the scope, permissible data sources, and acceptable uses of GenAI. While flexibility drives responsiveness to new insights, preventing misuse and ensuring strict compliance with ethical standards is essential.

 Robust access control mechanisms are another critical component of outcome-centric governance. These ensure that only authorized personnel can interact with GenAI systems and data, thereby safeguarding against misuse.

At the heart of successful GenAI integration lies a culture of innovation. It begins with leadership buy-in, top-level management championing GenAI’s transformative potential, and providing the necessary resources and support.

Investing in training programs to upskill employees on AI technologies is equally crucial, ensuring the workforce has the knowledge and skills to leverage GenAI effectively. This culture of innovation is about people and creating an environment where new ideas can flourish and translate into tangible business outcomes.

Ram Ramachandran

The writer is Senior Vice-President - India, Middle East, and Africa Business, Tech Mahindra.