Author: AI Generated Robotic Content

Chatbots are rapidly growing in popularity across a spectrum of sectors thanks to their convenience in handling basic customer service needs, such as answering questions. In fact, approximately 67% of consumers have utilized chatbots for quick interactions, with 86% reporting positive experiences​ using them. However, deploying chatbots in heavily regulated sectors such as finance, healthcare, and …

Read more “Ensuring Compliance in Chatbot Deployment for Regulated Industries”

Palantir’s Privacy-First Engineering Approach Introduction Palantir is a mission-driven company, and this mission orientation is reflected in the institutions we support, the products we develop, and the internal culture we foster. Our commitment to privacy engineering has been a cornerstone of our operations for the past 20 years. From addressing the challenges faced by our …

Read more “Human Rights and Technology”

By Aurélien Bibaut, Winston Chou, Simon Ejdemyr, and Nathan Kallus We are excited to share our work on how to learn good proxy metrics from historical experiments at KDD 2024. This work addresses a fundamental question for technology companies and academic researchers alike: how do we establish that a treatment that improves short-term (statistically sensitive) outcomes …

Read more “Improve Your Next Experiment by Learning Better Proxy Metrics From Past Experiments”

The proliferation of large language models (LLMs) in enterprise IT environments presents new challenges and opportunities in security, responsible artificial intelligence (AI), privacy, and prompt engineering. The risks associated with LLM use, such as biased outputs, privacy breaches, and security vulnerabilities, must be mitigated. To address these challenges, organizations must proactively ensure that their use …

Read more “Secure RAG applications using prompt engineering on Amazon Bedrock”

Today’s digital landscape offers a vast sea of information, encompassing not only text, but also images and videos. Traditional enterprise search engines were primarily designed for text-based queries, and often fall short when it comes to analyzing visual content. However, with a combination of natural language processing (NLP) and multimodal embeddings, a new era of …

Read more “A multimodal search solution using NLP, BigQuery and embeddings”