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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. So the social media giant launched a generative AI journey and is now reporting the results of its experience leveraging Microsoft’s Azure OpenAI Service. The initial deliverables “felt lacking,” Bottaro said.

IT 139
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How to use Experimentation as a Growth Accelerator

Aryng

Experimentation is the least arrogant method of gaining knowledge. The experimenter humbly asks a question of nature.” For companies […] The post How to use Experimentation as a Growth Accelerator appeared first on Aryng's Blog.

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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 112
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How to differentiate the thin line separating innovation and risk in experimentation

Aryng

Most managers are good at formulating innovative […] The post How to differentiate the thin line separating innovation and risk in experimentation appeared first on Aryng's Blog. Is a feeling of despair engulfing you due to continuous experiment failures, making you believe that your ideas are inaccurate and wrong?

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

encouraging and rewarding) a culture of experimentation across the organization. Source: [link] Every business wants to get on board with ChatGPT, to implement it, operationalize it, and capitalize on it. It is important to realize that the usual “hype cycle” rules prevail in such cases as this.

Strategy 289
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5 steps to drive and foster innovation in IT

CIO Business Intelligence

In addition to bottom-line benefits, employees are often inspired and motivated by innovation – seeking job opportunities that encourage experimentation and embrace new ideas. Tight budgets and labor shortages have remained an ongoing challenge for IT leaders in 2023. A closed feedback loop with end users at this stage is critical as well.

IT 98
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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