AWS Machine Learning

OCTOBER 4, 2022

Unlike traditional rule-based methods, ML automatically infers patterns from data so as to perform your task of interest. Although this bypasses the need to curate rules for automation, it also means that ML models can only be as good as the data on which they’re trained. However, data creation is often a challenging task.

Best practices 78

Best practices Feedback Construction Accountability 78

AWS Machine Learning

SEPTEMBER 14, 2023

“Data locked away in text, audio, social media, and other unstructured sources can be a competitive advantage for firms that figure out how to use it“ Only 18% of organizations in a 2019 survey by Deloitte reported being able to take advantage of unstructured data. The majority of data, between 80% and 90%, is unstructured data.

APIs 97

APIs Government Accountability Engineering 97

AWS Machine Learning

AUGUST 24, 2023

Today, we’re pleased to announce the preview of Amazon SageMaker Profiler , a capability of Amazon SageMaker that provides a detailed view into the AWS compute resources provisioned during training deep learning models on SageMaker. To profile by functions, use the context manager smppy.annotate to annotate full functions.

Scripts 79

Scripts Metrics Finance Enterprise 79

AWS Machine Learning

JANUARY 4, 2024

Generative AI has opened up a lot of potential in the field of AI. One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. The primary goal is to automatically generate SQL queries from natural language text.

Best practices 122

Best practices Enterprise Engineering APIs 122

AWS Machine Learning

MARCH 14, 2024

Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. In this post, we explore different approaches you can take when building applications that use generative AI.

Best practices 107

Best practices Engineering Chatbots Enterprise 107

JivoChat

FEBRUARY 22, 2023

According to recent data , the global market for E-commerce outsourcing was valued at $262 billion in 2022 and is projected to expand at a compound annual growth rate (CAGR) of 9.4% Outsourcing content creation saves companies time and resources. from 2023 to 2030. Another typical case of outsourcing is content creation.

outsourcing 82

outsourcing SaaS Accountability Analytics 82

AWS Machine Learning

DECEMBER 2, 2022

“Intelligent document processing (IDP) solutions extract data to support automation of high-volume, repetitive document processing tasks and for analysis and insight. This two-step process introduces complexities in document processing workflows. Train a customer document classifier with the training data.

APIs 72

APIs Healthcare Enterprise Analytics 72

AWS Machine Learning

MARCH 22, 2023

Universities and other higher learning institutions have collected massive amounts of data over the years, and now they are exploring options to use that data for deeper insights and better educational outcomes. You can use machine learning (ML) to generate these insights and build predictive models.

Education 74

Education Feedback Government Analytics 74

AWS Machine Learning

DECEMBER 6, 2023

In a world full of data, summarizing long texts into brief summaries saves time and helps make informed decisions. These multi-level approaches are advantageous when dealing with text with tokens longer than the limit of an LLM, enabling an understanding of complex narratives. It only selects sentences from the original text.

Engineering 98

Engineering Healthcare Finance Big data 98