DEFINING AI AND SETTING REALISTIC EXPECTATIONS
“Business leadership tends to overestimate the impact of AI and underestimate its complexity – requiring IT leaders to manage the business’s expectations, or risk costly project failures.”1
Artificial Intelligence is revolutionizing industries across the globe, and IT Asset Management (ITAM) is no exception. As AI continues to evolve, it is crucial for IT professionals and business leaders to stay informed about its potential impacts and set realistic expectations. This Gartner® research delves deep into this transformative technology, offering valuable insights into how businesses can focus AI on real business problems and achievable use cases.
While the research doesn’t address AI within ITAM specifically, every ITAM team stands to benefit from having a clear understanding of AI and realistic expectations. We believe this research will help organizations cut through much of the noise surrounding AI today.
Why Download This Research Paper?
- Get a Clear Definition and Scope of AI:
With so much talk around artificial intelligence, it’s important to be able to distinguish between hype and reality, ensuring you have a grounded understanding of what AI can and cannot do.
- Set Realistic Expectations:
This research helps guide you to develop realistic expectations for AI’s capabilities and limitations, ensuring your organization makes informed decisions.
- Best Practices and Recommendations:
Equip yourself with the knowledge to stay ahead of the curve and leverage AI to potentially optimize your ITAM strategy.
Fill out the form to download the report today.
1Source: Gartner, Defining AI and Setting Realistic Expectations, Erick Brethenoux, Ben Yan, 25 April 2024
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Key topics covered in this report.
- Gartner key findings and recommendations. We feel these key findings and recommendations provide actionable insight to ensure successful AI adoption and integration, helping you stay ahead in the competitive landscape.
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Defuse the AI hype by adopting a common AI taxonomy. Understanding and adopting a common AI taxonomy helps demystify AI. This is essential for cutting through the hype and making informed, strategic decisions about AI investments and implementations.
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Critical AI disciplines and techniques. We believe this research will give you a better understanding of essential AI methodologies and their practical applications. This knowledge is helpful for those trying to develop effective AI strategies.