Remove Cost-Benefit Remove Experimentation Remove Interactive Remove Risk
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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.

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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.

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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 362
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5 Tips to Stay Competitive as AI Technology Evolves

Smart Data Collective

AI technology moves innovation forward by boosting tinkering and experimentation, accelerating the innovation process. One of the biggest benefits of AI is that it has led to new breakthroughs in automation. Big data also helps you identify potential business risks and offers effective risk management solutions.

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Accelerating Drug Discovery with AI-based Gene-Disease Link Predictions

Ontotext

It contains the ground truth about pathological mechanisms, molecules, interactions, drugs and targets. What are the benefits of Ontotext’s method? Researchers and medical professionals can benefit from AI-predicted gene-disease prediction in various ways.

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How Investec marries foundational and pioneering tech forces

CIO Business Intelligence

Then, on the other, there are pioneering forces, which drive business growth and include information, interaction and computation. Technology people are always after the shiny new toy but it’s important to highlight the difference between experimentation and innovation, and actually implementing something in your business,” she says.

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Success Stories: Applications and Benefits of Knowledge Graphs in Financial Services

Ontotext

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. Let’s consider an example about risk and opportunity event detection. Knowledge organization (e.g.,