Other AI findings

Thirdly, investing in a modern, scalable infrastructure was cited as the number one area of improvement for respondents to accelerate innovation. Some 78% of IT decision makers in the survey cited preferring an on-premises or hybrid model to address the challenges they foresee with implementing GenAI. Also:

    • 36% indicated they can turn data into real-time insights today to support innovation efforts.
    • 84% indicated that data was the differentiator, and their GenAI strategy must involve using and protecting that data.
    • 47% indicated that they anticipate that the bulk of their data will come from edge computing in the next five years.
    • 74% indicated there was currently a shortage of talent required for innovation in their industry. AI fluency, learning agility and desire, as well as creativity and creative thinking ranked as the top skills and competencies they needed for the next five years.
    • 48% believed “driving environmentally sustainable innovations” was an important improvement area.
    • 79% indicated experimenting with “as-a-Service” solutions to manage their IT environment more efficiently; 76% indicated they were actively moving AI inferencing to the edge to become more energy efficient (e.g., smart buildings).
    • 85% of business decision makers in the survey had reasons to exclude IT decision makers from strategic conversations. Both groups ranked a stronger relationship as the second most important improvement area.