Remove Enterprise Remove Reporting Remove Risk
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

CIOs face mounting pressure as AI costs and complexities threaten enterprise value

CIO Business Intelligence

Despite AI’s potential to transform businesses, many senior technology leaders find themselves wrestling with unpredictable expenses, uneven productivity gains, and growing risks as AI adoption scales, Gartner said. While some of the surveyed employees in the US, the UK, Australia, India, and China reported saving an average of 3.6

Insiders

Sign Up for our Newsletter

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

article thumbnail

AI Adoption in the Enterprise 2021

O'Reilly on Data

During the first weeks of February, we asked recipients of our Data & AI Newsletter to participate in a survey on AI adoption in the enterprise. The percentage of respondents reporting “mature” practices has been roughly the same for the last few years. 52% of the respondents reported using images and video. form data).

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. As of November 2023: Two-thirds (67%) of our survey respondents report that their companies are using generative AI. And only 33% report that their companies aren’t using AI at all.

article thumbnail

AI Pact: Simplifying EU AI Act compliance for enterprises

CIO Business Intelligence

particular, companies that use AI systems can share their voluntary commitments to transparency and risk control. At least half of the current AI Pact signatories (numbering more than 130) have made additional commitments, such as risk mitigation, human oversight and transparency in generative AI content.

article thumbnail

Managing risk in machine learning

O'Reilly on Data

We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning. One important change outlined in the report is the need for a set of data scientists who are independent from this model-building team. Let’s begin by looking at the state of adoption.

article thumbnail

Reporting cybersecurity posture and systemic risk to the board

CIO Business Intelligence

Cybersecurity and systemic risk are two sides of the same coin. As we saw recently with the CrowdStrike outage, the interconnected nature of enterprises today brings with it great risk that can have a significant negative effect on any company’s finances. million , per IBM, which represents a 10% increase over the prior year.

Risk 132