AWS Machine Learning

APRIL 19, 2023

This post walks through a complete example of how you can couple streaming feature engineering with Feature Store to make ML-backed decisions in near-real time. Apache Flink is a popular framework and engine for processing data streams. cc_num trans_time amount fraud_label …1248 Nov-01 14:50:01 10.15

Engineering 76

Engineering Analytics APIs Enterprise 76

AWS Machine Learning

DECEMBER 21, 2022

As feature data grows in size and complexity, data scientists need to be able to efficiently query these feature stores to extract datasets for experimentation, model training, and batch scoring. Table formats provide a way to abstract data files as a table. Note you will need to use Athena engine version 3.

Scripts 72

Scripts Engineering APIs Big data 72

AWS Machine Learning

SEPTEMBER 9, 2022

Affinities are computed either implicitly from the user’s behavioral data or explicitly from topics of interest (such as pop music, baseball, or politics) as provided in their user profiles. This is Part 2 of a series on using data analytics and ML for Amp and creating a personalized show recommendation list platform.

Personalization 71

Personalization APIs Engineering Metrics 71

AWS Machine Learning

FEBRUARY 13, 2024

For example, the analytics team may curate features like customer profile, transaction history, and product catalogs in a central management account. Their task is to construct and oversee efficient data pipelines. Their aim is to feed data into a centralized feature store, establishing it as the undisputed reference point.

Accountability 100

Accountability Government Engineering Scripts 100

AWS Machine Learning

NOVEMBER 17, 2023

Generative AI models have the potential to revolutionize enterprise operations, but businesses must carefully consider how to harness their power while overcoming challenges such as safeguarding data and ensuring the quality of AI-generated content.

APIs 90

APIs Enterprise Big data Chatbots 90

AWS Machine Learning

NOVEMBER 27, 2023

Let’s invoke the Amazon OpenSearch API to search relevant documents for the generated vector embeddings. The same feature engineering code is often run again and again, wasting time and compute resources on repeating the same operations. To avoid the reprocessing of features, we’ll export our data flow to an Amazon SageMaker pipeline.

Engineering 71

Engineering APIs Big data Accountability 71

AWS Machine Learning

DECEMBER 18, 2023

Among all, the native time series capabilities is a standout feature, making it ideal for a managing high volume of time-series data, such as business critical application data, telemetry, server logs and more. With efficient querying, aggregation, and analytics, businesses can extract valuable insights from time-stamped data.

Finance 100

Finance APIs Analytics Scripts 100

AWS Machine Learning

MARCH 23, 2023

Homomorphic encryption is a new approach to encryption that allows computations and analytical functions to be run on encrypted data, without first having to decrypt it, in order to preserve privacy in cases where you have a policy that states data should never be decrypted. resource("s3").Bucket Bucket (bucket).Object

Scripts 91

Scripts APIs Government Analytics 91

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. implement the model and the inference API. gpt2 and predictor.py

APIs 66

APIs Engineering Construction Benchmark 66

AWS Machine Learning

SEPTEMBER 9, 2022

Prior to our adoption of Kubeflow on AWS, our data scientists used a standardized set of tools and a process that allowed flexibility in the technology and workflow used to train a given model. Consequently, maintaining and augmenting older projects required more engineering time and effort.

Engineering 74

Engineering Healthcare APIs Scripts 74

AWS Machine Learning

JULY 25, 2022

For production, we wanted to invoke the model as a simple API call. We found that we didn’t need to separate data preparation, model training, and prediction, and it was convenient to package the whole pipeline as a single script and use SageMaker processing. Packaging the solution as a scalable workflow.

Scripts 69

Scripts Engineering Analytics APIs 69

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.

Best practices 117

Best practices Government Engineering Accountability 117

AWS Machine Learning

JUNE 24, 2022

To overcome this, enterprises needs to shape a clear operating model defining how multiple personas, such as data scientists, data engineers, ML engineers, IT, and business stakeholders, should collaborate and interact; how to separate the concerns, responsibilities, and skills; and how to use AWS services optimally.

Enterprise 86

Enterprise Engineering Accountability APIs 86

AWS Machine Learning

FEBRUARY 15, 2024

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. This dilemma hampers the creation of efficient models that use data to generate business-relevant insights.

Metrics 87

Metrics Analytics APIs Big data 87

AWS Machine Learning

JULY 19, 2022

We set the OutputFormat to mp3 , which tells Amazon Polly to generate an audio stream for this API call. We again use the start_speech_synthesis_task method but specify OutputFormat to json , which tells Amazon Polly to generate speech marks for this API call. Anil Kodali is a Solutions Architect with Amazon Web Services.

Engineering 83

Engineering APIs Education Best practices 83

Xaqt

JUNE 22, 2020

The innovation quagmire in the Call Center Reporting and Analytics space is rooted in three key issues: Vendor's who's contact center suites are an amalgamation of various acquisitions, such as: Cisco, Avaya, Genesys, NICE and Verint have done a poor job of providing integrated data and reporting across their own portfolios.

Call Center 52

Call Center Contact Center Analytics Engineering 52

AWS Machine Learning

JULY 29, 2022

The solution also uses SAML attribute mapping to populate the SAML assertion with specific access-relevant data, such as user ID and user team. Because the solution creates a SAML API, you can use any IdP supporting SAML assertions to create this architecture. The API Gateway calls an SAML backend API. Custom SAML 2.0

Management 71

Management APIs Accountability Construction 71

AWS Machine Learning

SEPTEMBER 6, 2023

Perform intelligent search with Amazon Kendra Before you try searching on the Amazon Kendra console or using the API, make sure that the data source sync is complete. To check, view the data sources and verify if the last sync was successful. She is passionate about designing big data workloads cloud-natively.

Management 91

Management Enterprise Analytics Finance 91

Xaqt

FEBRUARY 6, 2020

Back then, Artificial Intelligence, APIs, Robotic Process Automation (RPA), and even "Big Data" weren't things yet. The topics de jour were web services, service orientated architectures (SOA), Computer Telephony Integration (CTI), SIP was coming of age, and analytics for the sake of analytics.

Contact Center 52

Contact Center Enterprise Call Center APIs 52

AWS Machine Learning

AUGUST 2, 2023

With AI-powered tools and analytics, it has become easier than ever to build not just one story but customized stories to appear to end-users’ unique tastes and sensibilities. After ingestion, images can be searched via the Amazon Kendra search console, API, or SDK. Tanvi Singhal is a Data Scientist within AWS Professional Services.

Enterprise 70

Enterprise Healthcare APIs Big data 70

AWS Machine Learning

OCTOBER 4, 2022

In several domains, ML has proven capable of solving problems previously unsolvable with classical big data and analytical techniques, and the demand for data science and ML practitioners is increasing steadily. We create the following steps: Processing step (feature engineering). Model training and tuning.

Scripts 71

Scripts Engineering Management APIs 71

AWS Machine Learning

JULY 21, 2022

Compare and evaluate experiments – The integration of Experiments with Amazon SageMaker Studio makes it easy to produce data visualizations and compare different trials. You can also access the trial data via the Python SDK to generate your own visualization using your preferred plotting libraries. Analytics with SageMaker Experiments.

Metrics 76

Metrics Scripts Enterprise Telecommunications 76

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. How do I eliminate the need of installing a big framework like TensorFlow or PyTorch on my restricted device? Edge computing. or Where is tool B?

Transportation 75

Transportation APIs Big data Wireless 75

AWS Machine Learning

MARCH 7, 2023

If you want to make the image available only for a specific user profile, you can use the UpdateUserProfile API call instead of UpdateDomain. There are also limited options for ad hoc script customization by users, such as data scientists or ML engineers, due to permissions of the user profile execution role.

Management 73

Management Scripts Government Engineering 73

Enghouse Interactive

JULY 10, 2018

Enghouse Interactive’s technology appealed to Partner Colorado for several reasons: streamlined integration with Avaya IP Office; omni-channel functionality; agent-centric design; as well as the breadth and depth of the company’s engineering and support teams. Use journey analytics to drive better experiences.

Self service 40

Self service CRM Contact Center Analytics 40