Remove Cost-Benefit Remove Experimentation Remove IT Remove Testing
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What LinkedIn learned leveraging LLMs for its billion users

CIO Business Intelligence

Fits and starts As most CIOs have experienced, embracing emerging technologies comes with its share of experimentation and setbacks. Here, it was believed an LLM would help, as an oft-touted benefit of LLMs is their speed, enabling them to complete complex steps rapidly. The initial deliverables “felt lacking,” Bottaro said.

IT 134
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Companies Test Possibilities and Limits of AI in Research and Product Development

Smart Data Collective

These patterns could then be used as the basis for additional experimentation by scientists or engineers. Generative design is a new approach to product development that uses artificial intelligence to generate and test many possible designs. Automated Testing of Features. Generative Design. Assembly Line Optimization.

Testing 114
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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? encouraging and rewarding) a culture of experimentation across the organization. It is important to realize that the usual “hype cycle” rules prevail in such cases as this.

Strategy 289
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The early returns on gen AI for software development

CIO Business Intelligence

Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others. But early returns indicate the technology can provide benefits for the process of creating and enhancing applications, with caveats.

Software 128
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Bringing an AI Product to Market

O'Reilly on Data

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Without clarity in metrics, it’s impossible to do meaningful experimentation. The Core Responsibilities of the AI Product Manager. Identifying the problem.

Marketing 362
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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

Organizations face increased pressure to move to the cloud in a world of real-time metrics, microservices and APIs, all of which benefit from the flexibility and scalability of cloud computing. ” This quandary often comes with an accompanying worry: “Are we spending too much money on cloud computing?” Why move to cloud?

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Accelerating Cost Reduction: AI Making an Impact on Financial Services

Cloudera

And just as financial services experiences its cycles, this time of year I find myself returning to the topic of cost reduction. These cutting-edge technologies provide lower-cost alternatives for discovering efficiencies within financial operations, all while enhancing the quality of services offered.