Summary
Investment in AI has reached a new high with a focus on generative AI, which, in most cases, has yet to deliver its anticipated business value. This research helps AI leaders identify other techniques worthy of investment by profiling a wide range of AI innovations, many of which are advancing fast.
Included in Full Research
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- Gartner Recommended Reading
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- Sample Vendors
- Gartner Recommended Reading
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- Why This Is Important
- Business Impact
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- Gartner Recommended Reading
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- Why This Is Important
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- Gartner Recommended Reading
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- Gartner Recommended Reading
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- Why This Is Important
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- User Recommendations
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- Gartner Recommended Reading
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- Why This Is Important
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- Gartner Recommended Reading
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- Why This Is Important
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- User Recommendations
- Sample Vendors
- Gartner Recommended Reading
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- Why This Is Important
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- Obstacles
- User Recommendations
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- Gartner Recommended Reading
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- Why This Is Important
- Business Impact
- Drivers
- Obstacles
- User Recommendations
- Sample Vendors
- Gartner Recommended Reading
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- Why This Is Important
- Business Impact
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- Obstacles
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- Sample Vendors
- Gartner Recommended Reading
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- Why This Is Important
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- Gartner Recommended Reading
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- Why This Is Important
- Business Impact
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- Obstacles
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- Gartner Recommended Reading
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- Why This Is Important
- Business Impact
- Drivers
- Obstacles
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- Gartner Recommended Reading
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- Why This Is Important
- Business Impact
- Drivers
- Obstacles
- User Recommendations
- Sample Vendors
- Gartner Recommended Reading
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- Why This Is Important
- Business Impact
- Drivers
- Obstacles
- User Recommendations
- Sample Vendors
- Gartner Recommended Reading
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- Why This Is Important
- Business Impact
- Drivers
- Obstacles
- User Recommendations
- Sample Vendors
- Gartner Recommended Reading
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- Why This Is Important
- Business Impact
- Drivers
- Obstacles
- User Recommendations
- Sample Vendors
- Gartner Recommended Reading
- Definition:
- Why This Is Important
- Business Impact
- Drivers
- Obstacles
- User Recommendations
- Sample Vendors
- Gartner Recommended Reading
- Definition:
- Why This Is Important
- Business Impact
- Drivers
- Obstacles
- User Recommendations
- Sample Vendors
- Gartner Recommended Reading
- Definition:
- Why This Is Important
- Business Impact
- Drivers
- Obstacles
- User Recommendations
- Sample Vendors
- Gartner Recommended Reading
What You Need to Know
Generative AI (GenAI) has passed the Peak of Inflated Expectations, although hype about it continues. In 2024, more value will derive from projects based on other AI techniques, either stand-alone or in combination with GenAI, that have standardized processes to aid implementation. To deliver maximum benefit, AI leaders should base future system architectures on composite AI techniques by combining approaches from innovations at all stages of the Hype Cycle.
As the volume and scale of AI projects have increased, second-order effectshave come into play. Increasing attention is therefore being paid to governance, risk, ownership, safety and mitigation
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