Domino Data Lab recently secures two Technology Innovation Awards from Dresner Advisory Services, shining in the categories of AI, Data Science + Machine Learning, and ModelOps.

This recognition spotlights Domino as a prominent provider of Enterprise AI solutions, trusted by a major portion of the Fortune 100 for its pioneering work in making future or unknown events predictable through advanced analytics.

Chris Lauren, Domino's SVP of Product, shared his views:

"We're thrilled to receive Dresner's Technology Innovation Awards for our efforts in AI, Data Science, ML, and ModelOps. It's a testament to our dedication to responsible AI and our mission to empower customers with the tools they need for impactful AI projects."

The awards, based on the 2023 Wisdom of Crowds thematic market studies, celebrate top vendors that lead in technological advancements and innovation.

"In the ever-expanding realm of technological innovation, AI, data science, and machine learning are not just captivating; they're becoming essential for advanced analytics and decision-making," Howard Dresner, founder and chief research officer at Dresner Advisory, commented.

He further praised Domino's achievement, stating,

"Domino's recognition as a leader, especially in ModelOps, underscores the vital importance of streamlining the deployment and operationalization of ML models in today's fast-paced tech environment."

Notably, Domino's Enterprise AI Platform is engineered to facilitate the rapid development and deployment of AI projects, offering a comprehensive suite for managing the full AI lifecycle.

Furthermore, It balances the data scientists' need for flexibility with the enterprise's demand for control and governance, enhancing collaboration and knowledge sharing across teams.

Conclusion

The recognisation from Dresner Advisory Services reinforce Domino Data Lab's impact in the AI industry, driving forward the integration of AI and machine learning into business processes.

Domino's achievements also guides its commitment to advancing responsible AI development and operationalization, paving the way for more innovative, efficient, and impactful AI applications in various sectors.

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