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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

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How Amp on Amazon used data to increase customer engagement, Part 2: Building a personalized show recommendation platform using Amazon SageMaker

AWS Machine Learning

Our initial ML model uses 21 batch features computed daily using data captured in the past 2 months. This data includes both playback and app engagement history per user, and grows with the number of users and frequency of app usage. Manolya McCormick is a Sr Software Development Engineer for Amp on Amazon. Real-time inference.

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How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

AWS Machine Learning

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics. Data Engineer for Amp on Amazon.

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How Patsnap used GPT-2 inference on Amazon SageMaker with low latency and cost

AWS Machine Learning

This blog post was co-authored, and includes an introduction, by Zilong Bai, senior natural language processing engineer at Patsnap. They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. Zilong Bai is a senior natural language processing engineer at Patsnap.

APIs 71
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How to Improve Digital Customer Experience in Banking

REVE Chat Blog

Make use of big data analytics. This includes taking a 360-degree view of your banking customer and leveraging the data available. . Big data analytics is a vital ingredient in enhancing customer experience in banking and making crucial business decisions. What obstacles might they face? .

Banking 76
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From CTO to CX Industry Analyst: An In-depth Conversation with Mark Hillary

Vistio

He is a former technology director turned communication adviser, writing books and blogs on technology, work, and globalization. You now work predominantly as a communication advisor due to your experience writing books and blogs on technology work and globalization for notable media outlets like Huffington Post and the BBC.

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What’s All This Fuss About Composability?

ConvergeOne

The purpose of this blog post is to help folks understand why this is important and how it relates specifically to customer experience. This is where we can currently apply some of the remaining components such as AI, machine learning, automation, big data, and analytics. WORKSHOP] CREATE YOUR PATH TO MODERNIZATION.

APIs 105