AWS Machine Learning

SEPTEMBER 9, 2022

Part 1 shows how data was collected and processed using the data and analytics platform, and Part 2 shows how the data was used to create show recommendations using Amazon SageMaker , a fully managed ML service. Streaming data ingestion, processing, transformation, and storage.

Analytics 69

Analytics Engineering APIs Metrics 69

AWS Machine Learning

JULY 19, 2022

To test the model output, we use a Jupyter notebook to run Python code to detect custom labels in a supplied image by calling Amazon Rekognition APIs. The solution workflow is as follows: Store satellite imagery data in Amazon S3 as the input source. Store satellite imagery data in Amazon S3 as an input source.

APIs 70

APIs Metrics Enterprise Government 70

AWS Machine Learning

JULY 24, 2023

Patsnap provides a global one-stop platform for patent search, analysis, and management. They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. implement the model and the inference API. Specifically, Dockerfile and build.sh gpt2 and predictor.py client('sts').get_caller_identity()['Account']

APIs 66

APIs Engineering Construction Benchmark 66

AWS Machine Learning

JANUARY 4, 2024

In this post, we provide an introduction to text to SQL (Text2SQL) and explore use cases, challenges, design patterns, and best practices. Today, a large amount of data is available in traditional data analytics, data warehousing, and databases, which may be not easy to query or understand for the majority of organization members.

Best practices 119

Best practices Enterprise Engineering APIs 119

AWS Machine Learning

AUGUST 2, 2023

Fine-tuning the model on custom fashion data such as fashion images along with text describing the attributes of fashion products can be used to generate metadata that then improves a user’s search experience. Marketing – Another use case of image search is digital asset management.

Enterprise 71

Enterprise Healthcare APIs Big data 71

AWS Machine Learning

NOVEMBER 14, 2023

In the era of big data and AI, companies are continually seeking ways to use these technologies to gain a competitive edge. At the core of these cutting-edge solutions lies a foundation model (FM), a highly advanced machine learning model that is pre-trained on vast amounts of data.

Management 89

Management APIs Best practices Calibration 89

aircall

MAY 24, 2021

By following best practices for your digital transformation framework, you also get the benefit of flexibility so you can add and subtract digital tools as your company’s needs change. Overall, your digital transformation framework is the place to start whenever your data or new trends motivate you to change your tools or processes.

Best practices 62

Best practices Call Center Technology Analytics 62

AWS Machine Learning

FEBRUARY 1, 2024

Make sure to use best practices for rate limiting, backoff and retry, and load shedding. This pattern achieves a statically stable architecture, which is a resiliency best practice. Although generative AI applications have some interesting nuances, the existing resilience patterns and best practices still apply.

Best practices 111

Best practices Engineering SaaS APIs 111

AWS Machine Learning

MAY 8, 2023

With Amazon SageMaker , you can manage the whole end-to-end machine learning (ML) lifecycle. It offers many native capabilities to help manage ML workflows aspects, such as experiment tracking, and model governance via the model registry. Now let’s dive deeper into the details.

APIs 70

APIs Government Accountability Scripts 70

AWS Machine Learning

DECEMBER 1, 2022

In this post, we look at how to use Amazon SageMaker Role Manager to quickly build out a set of persona-based roles that can be further customized to your specific requirements in minutes, right on the Amazon SageMaker console. They’re permitted to manage models, endpoints, and pipelines, and audit resources. ML activities.

Management 73

Management Government Enterprise APIs 73

Callminer

JULY 15, 2019

Join leading smart home service provider Vivint’s Ben Austin and Jacob Miller for an enlightening session on how they have designed and utilized automated speech analytics to extract KPI targeted scores and route those critical insights through an API to their own customized dashboard to track and coach on agent scoring/behaviors.

Telecommunications 28

Telecommunications Contact Center Analytics Employee engagement 28

AWS Machine Learning

JUNE 15, 2022

Edge is a term that refers to a location, far from the cloud or a big data center, where you have a computer device (edge device) capable of running (edge) applications. When you scale your system, it’s important to have a robust solution that can manage the number of devices that you need to support. Edge computing.

Transportation 76

Transportation APIs Big data Wireless 76

AWS Machine Learning

AUGUST 31, 2023

In addition to data engineers and data scientists, there have been inclusions of operational processes to automate & streamline the ML lifecycle. Users in the model card account can share their model cards through AWS Resource Access Manager (AWS RAM). The following diagram illustrates this architecture.

Government 90

Government Accountability Enterprise Engineering 90

AWS Machine Learning

APRIL 19, 2023

As a result, some enterprises have spent millions of dollars inventing their own proprietary infrastructure for feature management. Apache Flink is a popular framework and engine for processing data streams. Creating the Apache Flink application using Flink’s SQL API is straightforward. Nov-01,22:01:00 1 74.99 …9843 99.50

Engineering 77

Engineering Analytics APIs Enterprise 77

AWS Machine Learning

AUGUST 29, 2023

The presented MLOps workflow provides a reusable template for managing the ML lifecycle through automation, monitoring, auditability, and scalability, thereby reducing the complexities and costs of maintaining batch inference workloads in production. Refer to Operating model for best practices regarding a multi-account strategy for ML.

Scripts 73

Scripts APIs Enterprise Accountability 73

aircall

MARCH 19, 2021

With all the available customer data companies have at their disposal to enhance the performance of customer service, sales, and marketing efforts, a remarkable 73% of companies still do not use it effectively. And out of those who do practise data collection, only 12% analyze it. Best Practices of Customer Data Management.

Sales 62

Sales CRM Marketing Best practices 62

aircall

APRIL 16, 2021

SaaS works well for a variety of general use cases, including: Data backup. Big data analytics. Flexibility – SaaS uses an open API (application programming interface) technology. Best Practices to Align Your Sales and Support Teams. It doesn’t discriminate! Email platforms. Disaster recovery.

SaaS 62

SaaS Sales Coaching APIs 62

AWS Machine Learning

AUGUST 31, 2023

In addition to data engineers and data scientists, there have been inclusions of operational processes to automate & streamline the ML lifecycle. Users in the model card account can share their model cards through AWS Resource Access Manager (AWS RAM). The following diagram illustrates this architecture.

Government 52

Government Accountability Enterprise Engineering 52

Xaqt

JUNE 22, 2020

Despite significant advancements in big data and open source tools, niche Contact Center Business Intelligence providers are still wed to their own proprietary tools leaving them saddled with technical debt and an inability to innovate from within. Out with the old guard, in with the new.

Call Center 52

Call Center Contact Center Analytics Engineering 52

AWS Machine Learning

SEPTEMBER 9, 2022

Its electronic health records, revenue cycle management, and patient engagement tools allow anytime, anywhere access, driving better financial outcomes for its customers and enabling its provider customers to deliver better quality care. Amazon CloudWatch for persistent log management.

Engineering 75

Engineering Healthcare APIs Scripts 75

Stratifyd

JANUARY 3, 2019

We are seeking an analytical, results-driven individual with a passion for developing applications and improving existing ones who knows how to get things done and is not afraid to take on big challenges. Maintain and develop Stratifyd’s API layer and/or analytics pipeline. and Python/C API. Required Skills & Experience.

Engineering 40

Engineering APIs Analytics Healthcare 40