AWS Machine Learning

OCTOBER 2, 2024

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Government 129

Government APIs Enterprise Best practices 129

AWS Machine Learning

JANUARY 4, 2024

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. In entered the Big Data space in 2013 and continues to explore that area. Arghya Banerjee is a Sr.

Best practices 141

Best practices Enterprise Engineering APIs 141

ConvergeOne

DECEMBER 7, 2021

The underlying technologies of composability include some combination of artificial intelligence (AI), machine learning, automation, container-based architecture, big data, analytics, low-code and no-code development, Agile/DevOps deployment, cloud delivery, and applications with open APIs (microservices).

APIs 81

APIs Big data Analytics Self service 81

DMG Consulting

MAY 26, 2020

2019 was the year of artificial intelligence (AI), automation and analytics, a trend that has continued in 2020 and into the foreseeable future, despite the pandemic. Adoption of cloud-based recording is starting to pick up momentum, as is analytics-enabled quality management (QM). . WFO Trends in 2020.

Contact Center 96

Contact Center Analytics Consulting Consulting 96

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.

Scripts 126

Scripts APIs Government Analytics 126

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 129

APIs Enterprise Big data Chatbots 129

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 130

Finance APIs Analytics Big data 130

AWS Machine Learning

MARCH 22, 2023

Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. Snowflake is an AWS Partner with multiple AWS accreditations, including AWS competencies in machine learning (ML), retail, and data and analytics. Configure Snowflake. Configure SageMaker Studio.

APIs 96

APIs Engineering Analytics Scripts 96

Natalie Petouhof

JULY 14, 2015

Tweet Managing your API’s has become a very complicated endeavor. If your role to is manage API’s it’s important to figure out how to automate that process. Today 3scale and Pivotal ® announced that the 3scale self-serve API management solution is available through the Pivotal Web Services (PWS) platform.

APIs 45

APIs Management Analytics Accountability 45

AWS Machine Learning

JUNE 12, 2024

This solution uses an Amazon Cognito user pool as an OAuth-compatible identity provider (IdP), which is required in order to exchange a token with AWS IAM Identity Center and later on interact with the Amazon Q Business APIs. Amazon Q uses the chat_sync API to carry out the conversation.

APIs 137

APIs Enterprise Accountability Feedback 137

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 92

Personalization APIs Metrics Engineering 92

AWS Machine Learning

APRIL 19, 2023

Streaming ingestion – An Amazon Kinesis Data Analytics for Apache Flink application backed by Apache Kafka topics in Amazon Managed Streaming for Apache Kafka (MSK) (Amazon MSK) calculates aggregated features from a transaction stream, and an AWS Lambda function updates the online feature store.

Analytics 95

Analytics Engineering APIs Enterprise 95

AWS Machine Learning

DECEMBER 21, 2022

Customers can also access offline store data using a Spark runtime and perform big data processing for ML feature analysis and feature engineering use cases. Table formats provide a way to abstract data files as a table. Apache Iceberg is an open table format for very large analytic datasets.

Scripts 93

Scripts Engineering APIs Big data 93

AWS Machine Learning

JUNE 3, 2024

You can change the configuration later from the SageMaker Canvas UI or using SageMaker APIs. About the Authors Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice. He helps customers implement big data, machine learning, analytics solutions, and generative AI implementations.

Surveys 125

Surveys Metrics Analytics Engineering 125

AWS Machine Learning

SEPTEMBER 11, 2024

The financial services industry (FSI) is no exception to this, and is a well-established producer and consumer of data and analytics. These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). The CUDA API and SDK were first released by NVIDIA in 2007.

Benchmark 111

Benchmark Banking Analytics Big data 111

Talkdesk

JANUARY 16, 2018

Leveraging today’s innovative speech recognition technology and predictive analytics is the key to creating a customer-centric culture in the call center. Leveraging today’s innovative speech recognition technology and predictive analytics is the key to creating a customer-centric culture in the call center.”

Analytics 40

Analytics Call Center Customer centricity Construction 40

Talkdesk

JANUARY 16, 2018

Leveraging today’s innovative speech recognition technology and predictive analytics is the key to creating a customer-centric culture in the call center. Leveraging today’s innovative speech recognition technology and predictive analytics is the key to creating a customer-centric culture in the call center.”

Analytics 40

Analytics Call Center Customer centricity Construction 40

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 127

Metrics Analytics APIs Big data 127

DMG Consulting

DECEMBER 10, 2018

The “platform as a service” paradigm, which essentially leverages application programming interfaces (APIs) to build out functional capabilities, makes it easier to build your own solution (BYOS). It’s undeniable that contact center platform vendors are having a highly positive disruptive impact on the pace of innovation in the CBCCI sector.

Contact Center 75

Contact Center contact center solutions CRM Enterprise 75

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 98

Management APIs Accountability Construction 98

AWS Machine Learning

NOVEMBER 27, 2024

Enterprises are facing challenges in accessing their data assets scattered across various sources because of increasing complexities in managing vast amount of data. Traditional search methods often fail to provide comprehensive and contextual results, particularly for unstructured data or complex queries.

Enterprise 112

Enterprise APIs Accountability Engineering 112

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. His expertise spans a broad spectrum, encompassing scalable architectures, distributed computing, big data analytics, micro services and cloud infrastructures for organizations.

Accountability 134

Accountability Government Engineering Scripts 134

JivoChat

JANUARY 31, 2023

The Data Analyst Course With the Data Analyst Course, you will be able to become a professional in this area, developing all the necessary skills to succeed in your career. The course also teaches beginner and advanced Python, basics and advanced NumPy and Pandas, and data visualization. Workload: 20.5

Analytics 75

Analytics APIs Big data Scripts 75

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 130

Management Enterprise Analytics Finance 130

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 95

Scripts Analytics Engineering APIs 95

AWS Machine Learning

AUGUST 15, 2022

Document is a wrapper function used to help parse the JSON response from the API. It provides a high-level abstraction and makes the API output iterable and easy to get information out of. Anjan works with enterprise customers and is passionate about developing, deploying and explaining AI/ML, data analytics, and big data solutions.

Banking 94

Banking APIs Accountability Analytics 94

AWS Machine Learning

NOVEMBER 27, 2023

Let’s invoke the Amazon OpenSearch API to search relevant documents for the generated vector embeddings. His knowledge ranges from application architecture to big data, analytics, and machine learning. Add a custom transform with Python (PySpark). Add a custom transform with Python (PySpark).

Engineering 107

Engineering APIs Big data Accountability 107

AWS Machine Learning

JULY 24, 2023

They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. In this section, we show how to build your own container, deploy your own GPT-2 model, and test with the SageMaker endpoint API. implement the model and the inference API. gpt2 and predictor.py

APIs 86

APIs Engineering Construction Benchmark 86

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. As we noted in the previous section, data scientists perform exploratory data analyses, run data analytics, and train ML models.

Engineering 95

Engineering Healthcare APIs Scripts 95

AWS Machine Learning

AUGUST 8, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral, Stability AI, and Amazon within a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Engineering 129

Engineering Accountability Feedback Construction 129

AWS Machine Learning

JUNE 24, 2022

This might be a triggering mechanism via Amazon EventBridge , Amazon API Gateway , AWS Lambda functions, or SageMaker Pipelines. In addition to the model endpoint, the CI/CD also tests the triggering infrastructure, such as EventBridge, Lambda functions, or API Gateway. Data lake and MLOps integration.

Enterprise 125

Enterprise Engineering Accountability APIs 125

AWS Machine Learning

NOVEMBER 13, 2024

Because SageMaker Model Cards and SageMaker Model Registry were built on separate APIs, it was challenging to associate the model information and gain a comprehensive view of the model development lifecycle. Project members consume assets from the Amazon DataZone catalog and produce new assets using one or more analytical workflows.

Government 117

Government Engineering Metrics APIs 117

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. He is passionate about machine learning and natural language processing.

Engineering 98

Engineering APIs Education Best practices 98

ConvergeOne

DECEMBER 7, 2021

The underlying technologies of composability include some combination of artificial intelligence (AI), machine learning, automation, container-based architecture, big data, analytics, low-code and no-code development, Agile/DevOps deployment, cloud delivery, and applications with open APIs (microservices).

APIs 40

APIs Big data Analytics Self service 40

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 91

Enterprise Healthcare APIs Big data 91

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.

Transportation 95

Transportation APIs Big data Wireless 95

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 96

Metrics Scripts Enterprise Telecommunications 96