How I Use AI As A Product Owner

Learn how a NexusLeap Product Owner uses AI tools like ChatGPT, Gemini, and Zoom AI to transform everyday tasks from hours to minutes. This article shares practical insights on refining communication, bridging technical and business teams, overcoming guilt around AI usage, and preparing for the shift from generative to agentic AI. All essential for modern, intentional productivity.

Learn how NexusLeap cut AWS Glue job runtimes from hours to minutes for a major food distributor by applying Spark-based optimization techniques. This post dives into practical tips on partitioning, avoiding data shuffling, leveraging lazy evaluation, and using DynamicFrames effectively—all essential for scalable, cost-efficient data engineering in the cloud.

As enterprises scale AI adoption, they face challenges with prompt consistency, memory, integration, and workflow complexity. LangChain addresses these with a modular framework that enables structured prompt management, long-term memory, seamless LLM integration, and scalable architecture. This article explores LangChain’s value in building reliable, production-ready LLM applications, along with use cases, code examples, and implementation guidance for enterprise teams.

Choosing the right cloud analytics platform is crucial for transforming your data and decision-making. This article compares AWS, GCP, and Azure across key areas like ETL, data warehousing, storage, serverless functions, messaging, and machine learning. Let this guide help you choose the platform that best meets your data and innovation needs.

Learn how AWS simplifies harnessing Large Language Models in our latest blog. We compare Amazon Bedrock’s rapid, pre-trained integration with Amazon SageMaker AI’s custom model building, covering features, pricing, and MLOps best practices. Discover the right AWS tool to scale your AI solutions.

Choosing the right BI tool is key to turning data into actionable insights. In our new blog, we compare Sigma, Power BI, and Tableau — each with unique strengths in data integration, visualization, and collaboration — to help you make an informed decision that best meets your organization’s needs.

Large Language Models (LLMs) have transformed communication yet customizing them remains a challenge for achieving peak performance. In our new blog, we break down RAG versus Fine-Tuning to help you choose the right approach for tailoring AI to your business needs.

LLMs have become ubiquitous but largely untrusted for reliable bottom-line growth for startups and enterprises. Let's start with the basics.

AWS S3, a key cloud storage solution, offers scalability and security. Learn best practices for setup, security, and cost management in this comprehensive guide.

In today’s digital era, AWS API Gateway is pivotal for microservices, linking external apps to AWS resources. Mastering API types, enhancing security, and monitoring are essential for maximizing its potential.

The NBA's data evolution showcases iterative analysis and Azure partnerships for better coaching decisions. Their cloud move highlights scalable data infrastructure's importance in unlocking AI potential for businesses.