When you purchase through links on our site, we may earn an affiliate commission.Heres how it works.

Thats particularly true in the B2B enterprise arena.

Unfortunately, conventional AI models cant solve both problems alone.

A person holding out their hand with a digital AI symbol.

Thats where youd typically use a symbolic AI designed for contextual decision making, but unsuited to complex patterns.

CEO & Lead Researcher at Pebbles Ai.

It can intuit a correct response based on previous answers and experience, but with less transparency and accuracy.

At the other end of the spectrum is symbolic AIthe world of rule-based systems and explicit knowledge representation.

Symbolic models shine when providing explainability and contextual clarity.

But they struggle to incorporate critical nuances, complex IFTTT logic, and pattern recognition.

The system has deep, specific knowledgebut its not flexible.

A conventional AI, for example, could be expected to flag a patternlike an emerging trend in workforceproductivity.

Cross-referencing domain rules and regulations ensures that decisions are consistent, transparent, and ethically robust.

Modern agentic architectures provide the backbone that harmonizes neural and symbolic processing.

Yet these models struggle with explainability and rule-based logic, especially in complex domains.

These fields demand the nuanced expertise that only true domain specialists can provide.

Building next-gen tech companies requires a fundamentally different approach.

Even Marc Andreessen, co-founder of one of the first internet browsers in Mosaic, supports this view.

So what happens is that people start using bog-standard horizontal AI for specific domain verticals.

Without deep domain expertise and rule-based logic, the consequences can be severe.

Marketing and sales strategies fall flat.

Legal breaches occur, reputations suffer, growth stagnatesand sometimes, businesses close.

Generative, neuro-symbolic, agentic AI: unlocking superpowers!

By fusing generative capabilities with symbolic reasoning and agentic orchestration, this architecture can go beyond mere function.

It can simultaneously reason, create, and explain its decisions, allowing data-driven superpowers to power meaningful change.

We’ve featured the best AI phone.

The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.