article thumbnail

CBRE’s Sandeep Davé on accelerating your AI ambitions

CIO Business Intelligence

Sandeep Davé knows the value of experimentation as well as anyone. CBRE has also used AI to optimize portfolios for several clients, and recently launched a self-service generative AI product that enables employees to interact with CBRE and external data in a conversational manner. And those experiments have paid off.

article thumbnail

Expectations vs. reality: A real-world check on generative AI

CIO Business Intelligence

Pilots can offer value beyond just experimentation, of course. McKinsey reports that industrial design teams using LLM-powered summaries of user research and AI-generated images for ideation and experimentation sometimes see a reduction upward of 70% in product development cycle times.

Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

The path to socially responsible AI

CIO Business Intelligence

People across industries envisioned AI as being the fuel for thousands of hours of time saved, replacing jobs to reduce costs, and unlocking innovation at a scale we have never before seen. Interacting with AI data or experiences in silos introduces risk and increases inefficiencies because it’s kept separate.

article thumbnail

Embracing Generative AI in health: focus on adoption, execution, outcomes and the human side

CIO Business Intelligence

These include capturing clinical encounters and summarising interactions such as past medical histories and health recommendations, providing patients with tailored educational materials and follow-up care recommendations, and reducing wait times by identifying patients most in need of care and targeting them with personalised coaching.

article thumbnail

How Italian CIOs produce value with gen AI

CIO Business Intelligence

Some gen AI applications can already summarize customer voice and written interactions with the contact center, or, in marketing and sales, identify new sales leads from calls. Having overcome the initial perplexity about ChatGPT, Maffei tested gen AI in coding activity and found great benefits.

article thumbnail

Bringing an AI Product to Market

O'Reilly on Data

Without clarity in metrics, it’s impossible to do meaningful experimentation. AI PMs must ensure that experimentation occurs during three phases of the product lifecycle: Phase 1: Concept During the concept phase, it’s important to determine if it’s even possible for an AI product “ intervention ” to move an upstream business metric.

Marketing 361
article thumbnail

How to Set AI Goals

O'Reilly on Data

AI Benefits and Stakeholders. AI is a field where value, in the form of outcomes and their resulting benefits, is created by machines exhibiting the ability to learn and “understand,” and to use the knowledge learned to carry out tasks or achieve goals. AI-generated benefits can be realized by defining and achieving appropriate goals.