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The Next Stage of AI: Enterprise General Intelligence

What is Enterprise General Intelligence (EGI)?

An EGI is a highly capable AI system that handles business applications reliably. However, to understand the concept, it is important to understand what differentiates EGI from other business AI solutions that already offer big productivity gains, such as AI agents.

EGI’s Standout Features

EGI’s standout features are performance across the dimensions of capability and consistency. EGI systems’ high capability means they can navigate the complex needs of business environments with predictable results on the Capability-Consistency matrix.

Capability

On the capability front, Savarese said EGI systems will have higher levels of reasoning that enable them to perform complex and operational tasks, such as deep research, in rapidly changing environments while implementing real-world human feedback.

Consistency

The consistency axis refers to EGI systems that can deliver predictable, reliable, and accurate results. Specifically, Savarese said that consistency helps these systems avoid "jaggedness", where AI models excel at complex tasks but get more simple ones wrong.

How does EGI compare to AGI?

Because AGI refers to AI with human-like intelligence and autonomy, such as a system in a sci-fi movie where AI takes over the world, there is usually some hesitation surrounding the tech. As a result, you may be relieved to hear that, despite having similar names, EGI and AGI differ in function and rollout.

The Relationship between EGI and AGI

To better understand this relationship, it’s helpful to consider the broader AI landscape. Savarese divides AI development into five waves: predictive, copilots, AI agents, robotics, and, lastly, AGI. Even though EGI is not officially listed as a wave, it lives between agents and robotics because, as described above, it takes AI one step further from agents via deeper reasoning.

When can we expect EGI?

Even though AI agents are available now, we are not yet at the point where EGI is feasible. Before that can happen, new benchmarks must be developed that look specifically at the EGI systems’ performance on AI tasks, plus stress-testing environments to push these tools to their limits.

Conclusion

EGI is a highly capable AI system that handles business applications reliably, with a focus on performance across the dimensions of capability and consistency. While it differs from AGI, it shares similarities with AI agents, taking AI one step further via deeper reasoning. With the emergence of EGI systems in the next six to 12 months, businesses can prepare by developing new benchmarks that measure proficiency in performing tasks.

FAQs

Q: What are the standout features of EGI?
A: EGI’s standout features are performance across the dimensions of capability and consistency.

Q: How does EGI compare to AGI?
A: EGI and AGI differ in function and rollout. While AGI refers to AI with human-like intelligence and autonomy, EGI is a highly capable AI system that handles business applications reliably.

Q: When can we expect EGI?
A: EGI systems are expected to emerge in the next six to 12 months.

Q: What is the relationship between EGI and AGI?
A: EGI is not officially listed as a wave in the AI development landscape, but it lives between AI agents and robotics, taking AI one step further via deeper reasoning.

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