Gartner identifies six key technologies that will transform digital governance in the next five years: digital employee experience, AI code assistants, generative AI, generative design AI, predictive analytics, and workstyle analytics. These technologies aim to enhance employee outcomes, improve software development efficiency, optimize design processes, inform public policy, and align digital investments with organizational goals.
Also from Gartner, By 2027, 40% of generative AI solutions are expected to be multimodal, significantly increasing from 1% in 2023, enhancing human-AI interaction and application scalability. Key technologies include multimodal GenAI, open-source large language models (LLMs), domain-specific models, and autonomous agents, each offering unique advantages for enterprises. Multimodal GenAI will transform applications by integrating various data types, while open-source LLMs promote innovation and customization. Domain-specific models improve accuracy and reduce risks, and autonomous agents enhance operational efficiency and customer experiences.
In an event in Australia, Gartner advises IT leaders to adopt AI at their own pace, choosing between a steady or accelerated approach based on their goals. Steady adopters focus on productivity with fewer initiatives, while accelerated adopters aim for broader benefits like revenue and customer experience. Trust in AI is crucial, requiring different governance strategies for each approach. Organizations should also consider the emotional impact of AI on employees and avoid the pitfalls of disillusionment by focusing on business value.
Why do we care?
Take to heart Gartner’s advice to move at your own pace, and advise your customers to do the same. Not every organization will benefit from rushing into AI, especially if the infrastructure, governance, or trust isn’t in place. Providers need to help clients assess their readiness for AI based on specific business needs and goals. A “steady” approach may be better suited for companies focusing on productivity and internal efficiency, while an “accelerated” approach works for those aiming for high-reward initiatives like improving customer experience or generating new revenue streams.
We’ll get into ROI in a moment.
