AWS Machine Learning

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Government 125

Government Training Data Policies 125

AWS Machine Learning

JULY 24, 2023

This blog post was co-authored, and includes an introduction, by Zilong Bai, senior natural language processing engineer at Patsnap. They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. Patsnap provides a global one-stop platform for patent search, analysis, and management.

Innovation 67

Innovation Comparison User Experience Tools 67

Opinionator

JULY 21, 2019

But just because it’s been in action for almost 70 years, doesn’t mean that it’s an effective method of data gathering or performance improvement. Customer Radar Retail Blog. Using a synthetic transaction. Is not going to provide valuable and actionable data. Is there Data? Nowadays, there are much better ways.

Return on Investment 69

Return on Investment Retail Feedback Effort Score 69

transcosmos Information Systems

MARCH 12, 2019

Now, it seems that a synthetic intelligent machine network bent to end the world isn’t far-fetched thanks to the wonders of technology. It can be used for the automation of frontline processes, boost operational efficiency, and handle tough data management issues.

Customer Service 75

Customer Service Study Chatbots Banking 75

Customers That Stick

JANUARY 22, 2015

The words Big Data are spoken every day in corporate offices around the world. And while Big Data is becoming more accessible to small to medium-sized businesses (SMBs), the basics of customer information — small data, if you will — is still where customer and experience meet for most organizations.

Customer Service Training 60

Customer Service Training Training Tips Sports 60

Grade.us

NOVEMBER 20, 2018

Mainstream review platforms use a variety of data points to accumulate data on your business. How to identify natural vs. coached vs. synthetic reviews. Google has a mountain of data about your business. Google uses some of this data to enforce their stringent review guidelines. They know you. It's staggering.

Management 23

Management Guidelines Social Media Brands 23

AWS Machine Learning

FEBRUARY 27, 2023

For example, Fairness – The aim here is to encourage models to mitigate bias in model outcomes between certain sub-groups in the data, especially when humans are subject to algorithmic decisions. Amazon SageMaker Clarify can detect potential bias during data preparation, after model training, and in your deployed model.

Metrics 79

Metrics Groups Training System 79

AWS Machine Learning

DECEMBER 20, 2022

The last few years have seen a tremendous paradigm shift in how institutional asset managers source and integrate multiple data sources into their investment process. However, the process of extracting benefits from multiple data sources can be extremely challenging.

Analysis 98

Analysis Financial Effort Score Data 98

AWS Machine Learning

SEPTEMBER 28, 2023

Real-world data is more complicated than can be expressed with an average or a straight regression line estimate. Measuring oversupply and undersupply from historic data The previous section demonstrated a graphical way to observe predictions; another way to view them is in a tabular way, as shown in the following table.

Retail 96

Retail Data Financial Resources 96

AWS Machine Learning

OCTOBER 19, 2023

Customers increasingly want to use deep learning approaches such as large language models (LLMs) to automate the extraction of data and insights. For many industries, data that is useful for machine learning (ML) may contain personally identifiable information (PII).

Data 89

Data Government How To Sports 89

AWS Machine Learning

DECEMBER 21, 2023

This allows you to use natural language with a conversational chat interface to perform tasks such as creating novel content including narratives, reports, and blog posts; summarizing notes and articles; and answering questions from a centralized knowledge base—all without writing a single line of code.

Contact Center 94

Contact Center Call Center e-support Knowledge Base 94

AWS Machine Learning

JULY 31, 2023

It also enables you to evaluate the models using advanced metrics as if you were a data scientist. We explain the metrics and show techniques to deal with data to obtain better model performance. You start by training the model using existing data, and then ask the model to predict the outcome on data that it has not already seen.

Metrics 81

Metrics Analysis Training Data 81

AWS Machine Learning

SEPTEMBER 28, 2023

This reduces the average model training duration from 186 to 73 minutes and the average prediction time from 33 to 18 minutes for a typical batch of 750 time series with data size up to 100 MB. Previously, introducing incremental data required retraining the entire model, which was time-consuming and caused operational delays.

Travel 94

Travel Training Report Retail 94

AWS Machine Learning

APRIL 2, 2024

This collaboration will help organizations like the District of Columbia Department of Health speed innovation, improve customer service, and improve productivity, while keeping data private and secure. In this role, Swami oversees all AWS Database, Analytics, and AI & Machine Learning services.

Innovation 135

Innovation Industry Healthcare Insurance 135