Category: FAANG

Insights from Product Reliability Engineers Intro Palantir’s platforms (AIP, Foundry, Gotham, Apollo) underpin mission-critical workflows throughout the world, whether it’s facilitating the resettling of over 100,000 refugees fleeing the war in Ukraine or reducing waiting times for life-saving cancer care. The Product Reliability Incident Management team’s core mandate is to address the highest-priority issues across …

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Amazon SageMaker JumpStart is a machine learning (ML) hub offering pre-trained models and pre-built solutions. It provides access to hundreds of foundation models (FMs). A private hub is a feature in SageMaker JumpStart that allows an organization to share their models and notebooks so as to centralize model artifacts, facilitate discoverability, and increase the reuse …

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This is a guest post co-written with Ori Nakar from Imperva. Imperva Cloud WAF protects hundreds of thousands of websites against cyber threats and blocks billions of security events every day. Counters and insights based on security events are calculated daily and used by users from multiple departments. Millions of counters are added daily, together …

Read more “Imperva optimizes SQL generation from natural language using Amazon Bedrock”

We recently launched BigQuery vector search, which enables semantic similarity search in BigQuery. This powerful capability can be used to analyze logs and asset metadata stored in BigQuery tables. For example, given a suspected log entry, your Site Reliability Engineering (SRE) or incident response (IR) team can search for semantically similar logs to validate whether …

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In the age of AI, healthcare leaders face the challenge of choosing the most suitable AI solution from a vast array of vendor options. In this blog post — drawing on insights from Palantir’s Artificial Intelligence Platform (AIP) for enhancing healthcare processes — we present 10 essential questions for healthcare leaders to consider when evaluating software that integrates AI …

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Video annotator: a framework for efficiently building video classifiers using vision-language models and active learning Amir Ziai, Aneesh Vartakavi, Kelli Griggs, Eugene Lok, Yvonne Jukes, Alex Alonso, Vi Iyengar, Anna Pulido https://medium.com/media/02a5bbf97c619182adba24b45e42edcb/href Introduction Problem High-quality and consistent annotations are fundamental to the successful development of robust machine learning models. Conventional techniques for training machine learning classifiers are …

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Amazon Translate is a neural machine translation service that delivers fast, high quality, affordable, and customizable language translation. Amazon Translate supports 75 languages and 5,550 language pairs. For the latest list, see the Amazon Translate Developer Guide. A key benefit of Amazon Translate is its speed and scalability. It can translate a large body of …

Read more “Maximize your Amazon Translate architecture using strategic caching layers”

As Peter Drucker famously said — “What gets measured, gets managed.” Tracking the effectiveness of your customer service platforms, with the right metrics in place, can lead organizations to gain valuable insights and optimize their customer service strategy. This will ultimately lead to superior customer experiences. As more companies decide to invest in AI, we can expect …

Read more “9 Must Track Metrics of Customer Service Platform”