Remove Cost-Benefit Remove Enterprise Remove Interactive
article thumbnail

Beyond “Prompt and Pray”

O'Reilly on Data

TL;DR: Enterprise AI teams are discovering that purely agentic approaches (dynamically chaining LLM calls) dont deliver the reliability needed for production systems. A shift toward structured automation, which separates conversational ability from business logic execution, is needed for enterprise-grade reliability.

article thumbnail

Unlocking the full potential of enterprise AI

CIO Business Intelligence

Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] AI in action The benefits of this approach are clear to see.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Generative AI in the Enterprise

O'Reilly on Data

In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. 54% of AI users expect AI’s biggest benefit will be greater productivity. That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure.

article thumbnail

Have we reached the end of ‘too expensive’ for enterprise software?

CIO Business Intelligence

GenAI as ubiquitous technology In the coming years, AI will evolve from an explicit, opaque tool with direct user interaction to a seamlessly integrated component in the feature set. This allows companies to benefit from powerful models without having to worry about the underlying infrastructure.

Software 128
article thumbnail

How will AI agents be priced? CIOs need to pay attention

CIO Business Intelligence

Agentic AI, the more focused alternative to general-purpose generative AI, is gaining momentum in the enterprise, with Forrester having named it a top emerging technology for 2025 in June. It also has the benefit that as underlying AI costs drop over time service providers can extract more margin for this work.

article thumbnail

Agentic AI design: An architectural case study

CIO Business Intelligence

The analyst firm Forrester named AI agents as one of its top 10 emerging technologies this year and that it will deliver benefits in the next two to five years. Kevin Weil, chief product officer at OpenAI, wants to make it possible to interact with AI in all the ways that you interact with another human being.

Testing 135
article thumbnail

Digital transformation 2025: What’s in, what’s out

CIO Business Intelligence

But this year three changes are likely to drive CIOs operating model transformations and digital strategies: In 2024, enterprise SaaS embedded AI agents to drive workflow evolutions , and leading-edge organizations began developing their own AI agents.