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Real value, real time: Production AI with Amazon SageMaker and Tecton

AWS Machine Learning Blog

Businesses are under pressure to show return on investment (ROI) from AI use cases, whether predictive machine learning (ML) or generative AI. Only 54% of ML prototypes make it to production, and only 5% of generative AI use cases make it to production. This post is cowritten with Isaac Cameron and Alex Gnibus from Tecton.

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Accelerate disaster response with computer vision for satellite imagery using Amazon SageMaker and Amazon Augmented AI

AWS Machine Learning Blog

The solution is then able to make predictions on the rest of the training data, and route lower-confidence results for human review. In this post, we describe our design and implementation of the solution, best practices, and the key components of the system architecture. The following diagram illustrates the pipeline workflow.

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Top Big Data Interview Questions for 2025

Pickl AI

These questions often focus on advanced frameworks, system architectures, and performance-tuning techniques. Apache Kafka is a distributed messaging system that handles real-time data streaming for building scalable, fault-tolerant data pipelines. What is Apache Kafka, and Why is it Used?

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Using Fivetran’s New Hybrid Architecture to Replicate Data In Your Cloud Environment

phData

As data and AI continue to dominate today’s marketplace, the ability to securely and accurately process and centralize that data is crucial to an organization’s long-term success. Fivetran’s Hybrid Architecture allows an organization to maintain ownership and control of its data through the entire data pipeline.

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LLMOps: What It Is, Why It Matters, and How to Implement It

The MLOps Blog

Tools range from data platforms to vector databases, embedding providers, fine-tuning platforms, prompt engineering, evaluation tools, orchestration frameworks, observability platforms, and LLM API gateways. LLMOps is key to turning LLMs into scalable, production-ready AI tools. Caption : RAG system architecture.

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Generative AI for agriculture: How Agmatix is improving agriculture with Amazon Bedrock

AWS Machine Learning Blog

Agmatix is an Agtech company pioneering data-driven solutions for the agriculture industry that harnesses advanced AI technologies, including generative AI, to expedite R&D processes, enhance crop yields, and advance sustainable agriculture. This post is co-written with Etzik Bega from Agmatix.

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