AWS Machine Learning

SEPTEMBER 11, 2024

SIMD describes computers with multiple processing elements that perform the same operation on multiple data points simultaneously. SIMT describes processors that are able to operate on data vectors and arrays (as opposed to just scalars), and therefore handle big data workloads efficiently.

Benchmark 114

Benchmark Banking Analytics Big data 114

Connect

NOVEMBER 2, 2022

Automation, big data, CRM (customer relationship management), hybrid systems, cloud, workforce management and predictive analytics have been the driving force for this innovation and have greatly improved how contact centres manage interactions to improve CX (customer experience). By Karl Reed, VP of Solutions at Connect.

Morale 40

Morale Cloud contact Benchmark Big data 40

AWS Machine Learning

APRIL 7, 2025

In this example, the model extracts key financial metrics from Amazon 10-K reports (2017-2024), demonstrating its capability to integrate and analyze data spanning multiple yearsall without the need for additional processing tools. Input: payload = { "messages": [ { "role": "system", "content": "You are a financial analyst.

Engineering 116

Engineering Marketing Personalization Metrics 116

AWS Machine Learning

MARCH 5, 2025

By providing an expected outcome to measure against, ground truth data unlocks the ability to deterministically evaluate system quality. Running deterministic evaluation of generative AI assistants against use case ground truth data enables the creation of custom benchmarks. See for examples.

Best practices 77

Best practices Enterprise Metrics Benchmark 77