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Competing in Complex Segment of AI with DevOps and Data Analytics
DQ Channels
|March 2025
An interaction with Karishma Aggarwal, CoFounder, Datagrid Solutions
How do you lead the team to use AI/ML effectively, navigating through the challenges involved?
My experience in the technology sector has taught me that successfully integrating AI and ML requires more than just technical expertise — itdemands strategic alignment with business objectives. We focus on fostering a deep understanding of both the problem space and the AI/ML tools at our disposal. Over the years, I have led teams through the complexities of model selection, training and deployment. We emphasise rigorous testing and iterative development to overcome challenges such as data sparsity or model bias. Additionally, creating a culture of knowledge sharing and continuous learning has been instrumental in ensuring that our team stays ahead of industry trends and uses AI/ML to deliver impactful solutions for our clients.
How are DevOps and data analytics integrated with AI to provide affordable solutions for MSMEs?
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