Remove Accountability Remove Analytics Remove Data
article thumbnail

How to Use Data Analytics to Improve E-Commerce Conversion Rates

OctopusTech

Using data analytics allows you to identify trends and opportunities that enhance conversion rates, converting more visitors into paying customers. With that, let’s explore how e-commerce businesses can utilize data tools to engage with more customers, improve sales, and achieve better operations across the board.

article thumbnail

Unify structured data in Amazon Aurora and unstructured data in Amazon S3 for insights using Amazon Q

AWS Machine Learning

In today’s data-intensive business landscape, organizations face the challenge of extracting valuable insights from diverse data sources scattered across their infrastructure. The solution combines data from an Amazon Aurora MySQL-Compatible Edition database and data stored in an Amazon Simple Storage Service (Amazon S3) bucket.

Sales 83
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Governing ML lifecycle at scale: Best practices to set up cost and usage visibility of ML workloads in multi-account environments

AWS Machine Learning

For a multi-account environment, you can track costs at an AWS account level to associate expenses. A combination of an AWS account and tags provides the best results. Compliance tags – These may be needed to adhere to regulatory requirements, such as tagging with classification levels or whether data is encrypted or not.

article thumbnail

Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas

AWS Machine Learning

Conventional ML development cycles take weeks to many months and requires sparse data science understanding and ML development skills. Business analysts’ ideas to use ML models often sit in prolonged backlogs because of data engineering and data science team’s bandwidth and data preparation activities.

Banking 104
article thumbnail

6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

article thumbnail

Visionary leaders turn to unstructured data analytics to lead the way in 2021

Tethr

One of the big takeaways from this reflection was that unstructured call, chat, and case data would become big this year—and it has. Visionary contact center leaders who have invested in unstructured data analytics have been primed to navigate the challenges of a post-pandemic world, improve the customer experience, and so much more. .

Analytics 111
article thumbnail

Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).