Remove Cost-Benefit Remove Experimentation Remove Optimization Remove Reference
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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.

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GoDaddy benchmarking results in up to 24% better price-performance for their Spark workloads with AWS Graviton2 on Amazon EMR Serverless

AWS Big Data

At GoDaddy, we embarked on a journey to uncover the efficiency promises of AWS Graviton2 on Amazon EMR Serverless as part of our long-term vision for cost-effective intelligent computing. EMR Serverless on Graviton2 demonstrated an advantage in cost-effectiveness, resulting in significant savings in total run costs.

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ConocoPhillips enlists 3D printing for supply efficiencies on Alaska’s North Slope

CIO Business Intelligence

Mathur, who held tech chief roles at Staples and Biogen before coming to ConocoPhillips in 2021, is referring to Carlo De Bernardi, a principal engineer at ConocoPhillips responsible for scaling the company’s adoption of 3D printing. These early wins are reason for optimism. There had to be a better way,” says De Bernardi.

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

Ontotext

The solution brings many business benefits. The solution also reduces incident response times, optimizes processes and streamlines asset management. Experimentation with different technical analysis services becomes possible. This ensures optimal decision-making and the ability to adapt to changing market dynamics.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

AGI, sometimes referred to as strong AI , is the science-fiction version of artificial intelligence (AI), where artificial machine intelligence achieves human-level learning, perception and cognitive flexibility. Manufacturing and supply chain management AGI might revolutionize manufacturing by optimizing every step of the process.

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How to Take Back 40-60% of Your IT Spend by Fixing Your Data

Ontotext

The data itself is stored in a way that is not optimal for extracting insight. It can be accomplished at a fraction of the cost of what organizations spend each year supporting the vast industry of data integration workarounds. This includes the reference data about business entities, agents, and people.

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