Artificial Inteligence Machine Learning Product Management 
O'Reilly Media - Data
AUGUST 7, 2018
New survey results highlight the ways organizations are handling machine learning's move to the mainstream. As machine learning has become more widely adopted by businesses, O’Reilly set out to survey our audience to learn more about how companies approach this work. What metrics are used to evaluate success?
CIO
OCTOBER 24, 2024
That means organizations are lacking a viable, accessible knowledge base that can be leveraged, says Alan Taylor, director of product management for Ivanti – and who managed enterprise help desks in the late 90s and early 2000s. “We Ivanti’s service automation offerings have incorporated AI and machine learning.
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AWS Machine Learning - AI
DECEMBER 4, 2024
Scalable infrastructure – Bedrock Marketplace offers configurable scalability through managed endpoints, allowing organizations to select their desired number of instances, choose appropriate instance types, define custom auto scaling policies that dynamically adjust to workload demands, and optimize costs while maintaining performance.
AWS Machine Learning - AI
DECEMBER 2, 2024
In this post, we explore the new Container Caching feature for SageMaker inference, addressing the challenges of deploying and scaling large language models (LLMs). You’ll learn about the key benefits of Container Caching, including faster scaling, improved resource utilization, and potential cost savings.
The Parallax
APRIL 27, 2018
To combat fake (or “false”) news, McNally says, Facebook now employs a wide range of tools ranging from manual flagging to machine learning. It needs to develop services that are not dependent on its current core advertising business model, given that policing fake news means curtailing ads from those that publish and promote it.
AWS Machine Learning - AI
APRIL 21, 2025
In this blog post, we discuss how Prompt Optimization improves the performance of large language models (LLMs) for intelligent text processing task in Yuewen Group. Evolution from Traditional NLP to LLM in Intelligent Text Processing Yuewen Group leverages AI for intelligent analysis of extensive web novel texts.
AWS Machine Learning - AI
DECEMBER 11, 2024
This pipeline is illustrated in the following figure and consists of several key components: QA generation, multifaceted evaluation, and intelligent revision. The evaluation process includes three phases: LLM-based guideline evaluation, rule-based checks, and a final evaluation. Sonnet in Amazon Bedrock.
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