Capital markets operation teams face numerous challenges throughout the post-trade lifecycle, including delays in trade settlements, booking errors, and inaccurate regulatory reporting. For derivative trades, it’s even more challenging. The timely settlement of derivative trades is an onerous task. This is because trades involve different counterparties and there is a high degree of variation among …
In today’s globalized marketplace, finding and understanding reviews in a customer’s preferred language across multiple languages can be challenging. BigQuery is designed for managing and analyzing large datasets, including reviews. In this blog post, we present a solution that uses BigQuery multilingual embeddings, vector index and vector search, to let customers search for products or …
Read more “The new Tower of Babel? Using multilingual embeddings and vector search in BigQuery”
CData has built a library of over 300 standards-based data connectors, which are being used by more than 7000 global organizations.Read More
Members of the activist group No Tech for Apartheid interrupted a senior Amazon executive’s speech at a conference in Washington, DC, on Wednesday over the company’s Project Nimbus cloud contract.
Researchers have created a new, cost-effective training technique for artificial intelligence systems that aims to make them less socially biased.
Researchers at the Istituto Italiano di Tecnologia (IIT-Italian Institute of Technology) have demonstrated that under specific conditions, humans can treat robots as co-authors of the results of their actions. The condition that enables this phenomenon is that a robot behaves in a human-like, social manner. Engaging in gaze contact and participating in a common emotional …
Read more “New work explores optimal circumstances for reaching a common goal with humanoid robots”
Introduction Here’s a something that new machine learning practitioners figure out almost immediately: not all datasets are created equal. It may now seem obvious to you, but had you considered this before undertaking machine learning projects on a real world dataset? As an example of a single class vastly outnumbering the rest, take for instance …
Read more “5 Effective Ways to Handle Imbalanced Data in Machine Learning”
Computers have come so far in terms of their power and potential, rivaling and even eclipsing human brains in their ability to store and crunch data, make predictions and communicate. But there is one domain where human brains continue to dominate: energy efficiency.
Applying Quality of Service techniques at the application level Anirudh Mendiratta, Kevin Wang, Joey Lynch, Javier Fernandez-Ivern, Benjamin Fedorka Introduction In November 2020, we introduced the concept of prioritized load shedding at the API gateway level in our blog post, Keeping Netflix Reliable Using Prioritized Load Shedding. Today, we’re excited to dive deeper into how we’ve …
Read more “Enhancing Netflix Reliability with Service-Level Prioritized Load Shedding”
We are excited to announce the availability of the Jamba-Instruct large language model (LLM) in Amazon Bedrock. Jamba-Instruct is built by AI21 Labs, and most notably supports a 256,000-token context window, making it especially useful for processing large documents and complex Retrieval Augmented Generation (RAG) applications. What is Jamba-Instruct Jamba-Instruct is an instruction-tuned version of …
Read more “AI21 Labs Jamba-Instruct model is now available in Amazon Bedrock”