A naukri.com initiative
Medium
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Accelerating AI/generative AI with assetization
- Assetization is crucial for accelerating gen AI projects by reusing assets like code, data, and models.
- Maintaining digital assets in a central repository enhances efficiency, accelerates development, and fosters innovation.
- Scaling AI effectively involves assetizing code, insights, and resources to streamline operations and boost productivity.
- Sharing prompts and pre-configured agents is gaining importance in gen AI projects over technical details of training models.
- Brix, a solution by QuantumBlack Labs, centralizes assets for discoverability and accessibility in AI projects, reducing operating costs.
- Reusing assets can accelerate time-to-value, enhance solution quality, and mitigate risks in new GenAI projects.
- Promoting reuse at scale requires positive incentives, culture changes, and alignment of interests within organizations.
- A 'choose to use' philosophy, celebrating contributions, and fostering a culture of reuse are essential for sustainable asset reuse.
- Brix transforms how teams operate by integrating existing storage into a centralized, platform-agnostic solution for better business outcomes.
- The goal of Brix is to enable organizations to focus on reuse, streamline AI workflows, boost efficiency, and gain a competitive edge.
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