PinnedAbhishek ReddyReflections on our Gen AI journey at AWS Partner Advantage: A review of achievements, learnings…The past year has marked a period of transformation and innovation for AWS Partner Advantage and Marketplace Insights, where we’ve…5d ago15d ago1
PinnedAbhishek ReddyResponsible AI — Best Practices and ToolsArtificial Intelligence (AI) has revolutionized various industries, but with its widespread adoption, ensuring its responsible use is…Jul 11Jul 11
PinnedAbhishek ReddyManaging Data Drift and Data Distribution Shifts in the MLOps Lifecycle for Machine Learning ModelsDeploying a Machine Learning (ML) model is often seen as a significant milestone. However, this is only the beginning of a long iterative…Jun 2Jun 2
PinnedAbhishek ReddyComparison of RAG Implementations on AWS: Bedrock Knowledge Bases vs. Amazon KendraAmazon Kendra based RAG architecture vs Amazon Bedrock Knowledge Bases for RAG based implementations on Amazon BedrockJun 91Jun 91
Abhishek ReddyBridging the Gap: AI/ML Cross-Functional Collaboration in AI Product Development and MLOpsIn today’s fast-paced digital landscape, Artificial Intelligence (AI) products are at the forefront of innovation, driving significant…4d ago4d ago
Abhishek ReddyAI Agents: A New Dawn in Generative AI2024 is poised to be the year of AI agents, a transformative development in the field of generative AI. To understand what AI agents are…Jul 15Jul 15
Abhishek ReddyEssential AI Leadership skills for Business Leaders: Driving Decisions using AI-Powered Business…In today’s fast-paced business environment, artificial intelligence (AI) stands as a critical driver for innovation and competitive…Jul 15Jul 15
Abhishek ReddyUnderstanding AutoML: Comprehensive Guide and Use Cases Across Various Machine Learning…AutoML, or Automated Machine Learning, refers to the process of automating the end-to-end lifecycle of machine learning model development…Jul 7Jul 7
Abhishek ReddyOvercoming the Last Mile in ML Projects: Turning Pilots into Production SuccessCommon challenges in operationalizing Machine Learning models in Production and how to overcome them.Jul 6Jul 6
