Remove Metrics Remove ROI Remove Uncertainty
article thumbnail

3 ways to avoid the generative AI ROI doom loop

CIO Business Intelligence

By Bryan Kirschner, Vice President, Strategy at DataStax From the Wall Street Journal to the World Economic Forum , it seems like everyone is talking about the urgency of demonstrating ROI from generative AI (genAI). Make ‘soft metrics’ matter Imagine an experienced manager with an “open door policy.”

ROI 72
article thumbnail

What you need to know about product management for AI

O'Reilly on Data

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. There are strategies for dealing with all of this uncertainty–starting with the proverb from the early days of Agile: “ do the simplest thing that could possibly work.” What delivers the greatest ROI?

Insiders

Sign Up for our Newsletter

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

article thumbnail

Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

Business value : Once we have a rubric for evaluating our systems, how do we tie our macro-level business value metrics to our micro-level LLM evaluations? Business value : Align outputs with business metrics and optimize workflows to achieve measurable ROI. LLM-powered software amplifies this uncertainty further.

Testing 168
article thumbnail

Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. The ROI of human involvement When it comes to human involvement, the key difference is in the magnitude of costs associated with any one forecast cycle. This defines the ROI on the investment of human time.

article thumbnail

Customer service, especially field service, helps companies outperform competitors and drive growth

CIO Business Intelligence

In economic uncertainty, it’s natural for executives to explore where to reduce spending, trim the fat , so to speak, and cut enterprising investments as a matter of caution. But this thinking is also counter-productive for all the reasons that make uncertainty so predictable. There’s much to be done.

article thumbnail

Promising Benefits of Predictive Analytics in Asset Management

Smart Data Collective

The good news is that predictive analytics technology is making it easier for people to boost their ROI and tweak their portfolios to align with their investment goals. Therefore, these metrics are likely to be used by most predictive analytics tools used to ascertain risk. Are there any risks associated with asset allocation?

article thumbnail

CIOs must beware committing ‘AI washing’ themselves

CIO Business Intelligence

Gen AI can still hallucinate, even if tuned, creating a level of uncertainty when more traditional tools would be more consistent. It’s a scary level of uncertainty and risk, and that makes it difficult to use as a rip and replace for existing technologies.”