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/

In this episode of AWS Partners Unplugged, Tarek Makota, Senior Principal Solution Architect at AWS, discusses building resilient SaaS applications for ISV partners. We explore AWS fault isolation boundaries through regions and availability zones, explaining how proper application design can contain failures and prevent them from spreading across an entire customer base. We discuss the misconception that multi-region deployments automatically provide higher resilience, emphasizing that single-region architectures can achieve high availability when properly designed to honor fault boundaries between control planes and data planes. We cover key strategies including load shedding, careful retry implementation to avoid amplifying problems, identifying critical user journeys, and leveraging AWS services like Application Recovery Controller and its Zonal Auto Shift feature, along with Fault Injection Simulator for testing and recovery.

Links:

• https://aws.amazon.com/resilience-hub/
• https://docs.aws.amazon.com/prescriptive-guidance/latest/resilience-analysis-framework/introduction.html
• https://docs.aws.amazon.com/prescriptive-guidance/latest/resilience-lifecycle-framework/introduction.html

Contact us:

• aws-partner-unplugged-podcast-hosts@amazon.com
• Tarik: https://www.linkedin.com/in/tarik-makota/

In this episode of AWS Partners Unplugged, we explore the latest innovations from the AWS Partner Network, focusing on AI-driven solutions that are reshaping business operations. We discuss Amplitude's groundbreaking collaboration with Amazon Bedrock to revolutionize product growth through AI agents that proactively detect user friction points and implement real-time optimizations, transforming analytics from reactive to proactive processes. Our conversation also covers AWS Transform's breakthrough in mainframe modernization, which leverages specialized AI agents to reduce traditionally multi-year migration projects to just months, addressing the growing legacy skills gap. Additionally, we highlight the launch of the AWS European sovereign cloud, providing EU organizations with robust security and compliance while maintaining data sovereignty, and explore comprehensive security solutions including Superna Defender for cloud storage protection and updates to AWS competency programs that help customers find validated partners with specialized expertise.

Blog Links:

* https://aws.amazon.com/blogs/apn/accelerate-product-growth-with-amplitude-ai-agents-and-amazon-bedrock/

* https://aws.amazon.com/blogs/apn/accelerating-mainframe-modernization-learn-how-partners-are-leveraging-aws-transform/

* https://aws.amazon.com/blogs/apn/empowering-european-innovation-partner-solutions-for-the-aws-european-sovereign-cloud/

* https://aws.amazon.com/blogs/apn/new-categories-and-enhanced-benefits-for-aws-government-competency-partners/

* https://aws.amazon.com/blogs/apn/strengthen-your-aws-cloud-storage-security-with-superna-defender/

* https://aws.amazon.com/blogs/apn/updates-to-the-aws-mssp-competency-deliver-turnkey-security-solutions-for-customers/

To reach us:

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

In this episode of AWS Partners Unplugged, we explore four innovative collaborations between AWS and its partners showcased in recent APN blogs. We highlight how Dynatrace provides comprehensive observability for generative AI applications built on Amazon Bedrock, ensuring reliable and compliant AI operations with features like guardrail analysis and audit trails. We then examine how AWS and Intel are making large language models more accessible and cost-effective through model distillation and CPU optimizations. We also discuss MongoDB Atlas's impressive 14x improvement in search indexing performance by leveraging Amazon S3 for index snapshots, and conclude with an exploration of an AI assistant for Splunk that transforms natural language queries into efficient search queries using Amazon Bedrock agents. Throughout the episode, we emphasize how these technical innovations deliver tangible business value by addressing real-world challenges for partners and their customers.

The blog links:

• https://aws.amazon.com/blogs/apn/elevating-llm-observability-with-amazon-bedrock-and-dynatrace/
• https://aws.amazon.com/blogs/apn/how-aws-and-intel-make-llms-more-accessible-and-cost-effective-with-deepseek/
• https://aws.amazon.com/blogs/apn/improving-mongodb-atlas-search-elasticity-with-amazon-s3/
• https://aws.amazon.com/blogs/apn/unlocking-the-power-of-splunk-with-amazon-bedrock-an-agentic-ai-approach-to-build-customized-splunk-assistants-using-bedrock-agents/

To reach us: aws-partner-unplugged-podcast-hosts@amazon.com

In this episode of AWS Partners Unplugged, we discuss AWS region expansions with Liora and Nehika, two leads from the AWS Specialist and Partner Organization. They explore how AWS partners grow by expanding into new AWS regions, with AWS providing significant support through the Region Custom Funding program. The discussion covers key aspects of regional expansion including technical readiness, compliance requirements, go-to-market strategies, and co-branding opportunities. They highlight upcoming AWS region launches in Taiwan, New Zealand, Germany (European Sovereign Cloud), Kingdom of Saudi Arabia, and Chile over the next two years, and explain how partners can leverage AWS to support infrastructure deployment, compliance readiness, marketing, and sales incentives when expanding into these new regions.

Liora: https://www.linkedin.com/in/liora-rait-b4862b21/

Nehika: https://www.linkedin.com/in/nehikamiglani/

awsnewregioncustomfunding

In this insightful episode, we sit down with Chandar Pattabhiram, Chief Go-to-Market Officer at Workato, who shares how their integration platform is revolutionizing business connectivity by orchestrating data,

processes, and applications across the enterprise while eliminating traditional bottlenecks. Chander highlights Workato's impressive scale on AWS—processing over 750 billion tasks in the past year—and details

their vision for bringing agent capabilities from edge to core through complete enterprise context, model choice flexibility, pre-configured agents, no-code environments, and robust governance built on AWS's

scalable infrastructure. The conversation explores the joint checklist Workato developed with AWS covering best practices for agent deployment and their comprehensive partnership spanning thought leadership, AWS

Marketplace integration, and collaborative customer success stories, while offering a glimpse into Workato's strategic investment in their "Workato One" unified agent enablement platform that combines agent

foundations with enterprise context, governance, and AWS cloud scalability.

Chandar: https://www.linkedin.com/in/chandarp/

Sri: https://www.linkedin.com/in/sraghavan24/

Workato Agentic Enterprise: https://www.workato.com/the-connector/workato-one/

Agentic Enterprise Checklist

• Scalable global infrastructure
• Enterprise-wide trust & governance
• Both coded & configurable agents
• Model choice
• Orchestration: Enterprise context & skills
• Comprehensive connectivity