We explore the critical role of consulting partners in the AWS ecosystem through our conversation with Daniel from Zensar, an AWS Advanced Partner specializing in data modernization and AI adoption. We dive into how Zensar bridges the gap between innovative AWS ISV products and enterprise-scale implementations, discussing their modular cloud-native platform that integrates with core AWS services like Redshift, Glue, Bedrock, and SageMaker. We examine real-world success stories, including helping an insurance company cut operational costs by 30-35%, and explore how consulting partners are leveraging generative AI to transform both their internal processes and client outcomes. The conversation highlights the importance of co-creation partnerships and proven frameworks in moving enterprises from "data chaos" to measurable data products that deliver tangible business value.

Links:

• https://zensar.com/tech-services/data-analytics-and-ai
• https://www.zensar.com/tech-services/artificial-intelligence/zenseai/zenseaidata
• https://www.zensar.com/tech-services/artificial-intelligence/echo-ai-services
• https://www.zensar.com/tech-services/data-analytics-and-ai/visualization-and-analytics-services
• https://www.zensar.com/tech-services/data-analytics-and-ai/generative-ai-services
• https://www.zensar.com/tech-services/data-analytics-and-ai/data-engineering-services

To reach us:

• aws-partner-unplugged-podcast-hosts@amazon.com
• Daniel: https://www.linkedin.com/in/dangomezglobal/

In this episode, we dive deep into the latest AWS Partner Network blog highlights from August and September, showcasing the remarkable breadth of partner innovation. We explore the launch of AI agents and tools in AWS Marketplace, revealing how autonomous software is revolutionizing enterprise solutions through natural language search and sophisticated orchestration. We discuss strategic approaches for open source founders navigating commercialization with AWS Global Startup Program support, then shift gears to examine how generative AI is breathing new life into legacy COBOL systems through containerization on Amazon ECS. We conclude with compelling vertical AI applications, from Deepgram's voice AI transforming healthcare documentation to Deepbrain AI's deepfake detection technology helping law enforcement distinguish real from synthetic media, demonstrating how specialized AI solutions are tackling high-stakes enterprise challenges across industries.

Blog Links:

* https://aws.amazon.com/blogs/apn/pioneering-ai-detector-by-deepbrain-ai-with-aws-rekognition/

* https://aws.amazon.com/blogs/apn/modernizing-healthcare-with-generative-voice-ai-using-deepgram-on-aws/

* https://aws.amazon.com/blogs/apn/modernize-cobol-workloads-with-amazon-eks-powered-by-generative-ai/

* https://aws.amazon.com/blogs/apn/building-your-open-source-commercial-strategy-with-aws/

* https://aws.amazon.com/blogs/apn/aws-partner-guide-to-ai-agents-and-tools-in-aws-marketplace/

To reach us:

* aws-partner-unplugged-podcast-hosts@amazon.com

In this episode, we discuss the growing adoption of Apache Iceberg as a modern data lake format,

exploring how it's becoming the preferred choice for customers migrating from on-premises to cloud

-native architectures. The conversation covers AWS's deep integrations with Iceberg through

services like Amazon S3, AWS Glue Data Catalog, and SageMaker Lake House, as well as how key

partners like Starburst and Snowflake are enhancing the ecosystem with powerful connectors that

enable federated querying, flexible catalog management, and seamless data interoperability. We

highlight how organizations can easily migrate existing Parquet and ORC data lakes to Iceberg

without rewriting underlying data files, and emphasize that this shift represents a move toward

future-proof data architectures focused on ease of use, consistent governance, and reduced

development time rather than just cost optimization.

Contact us:

• aws-partner-unplugged-podcast-hosts@amazon.com
• Antony: https://www.linkedin.com/in/antony-prasad-thevaraj-04398518/

Links:

• https://aws.amazon.com/blogs/storage/build-a-managed-apache-iceberg-data-lake-using-starburst-and-amazon-s3-tables/
• https://aws.amazon.com/blogs/big-data/use-apache-iceberg-in-your-data-lake-with-amazon-s3-aws-glue-and-snowflake/