AWS Machine Learning

JULY 29, 2022

One of the most common real-world challenges in setting up user access for Studio is how to manage multiple users, groups, and data science teams for data access and resource isolation. It’s aligned with the AWS recommended practice of using temporary credentials to access AWS accounts. This solution uses a custom SAML 2.0

Management 73

Management APIs Accountability Construction 73

AWS Machine Learning

APRIL 11, 2023

These customers need to balance governance, security, and compliance against the need for machine learning (ML) teams to quickly access their data science environments in a secure manner. One important aspect of this foundation is to organize their AWS environment following a multi-account strategy.

APIs 70

APIs Accountability Scripts Enterprise 70

AWS Machine Learning

APRIL 24, 2023

In this post, we explore how AWS customer Pro360 used the Amazon Comprehend custom classification API , which enables you to easily build custom text classification models using your business-specific labels without requiring you to learn machine learning (ML), to improve customer experience and reduce operational costs.

APIs 62

APIs Customer Experience Feedback Chatbots 62

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 121

Best practices Government Engineering Accountability 121

AWS Machine Learning

NOVEMBER 3, 2022

We also look into how to further use the extracted structured information from claims data to get insights using AWS Analytics and visualization services. We highlight on how extracted structured data from IDP can help against fraudulent claims using AWS Analytics services. Part 2: Data enrichment and insights. Prerequisites.

Analytics 75

Analytics APIs Healthcare Big data 75

AWS Machine Learning

DECEMBER 21, 2022

Today, companies are establishing feature stores to provide a central repository to scale ML development across business units and data science teams. The offline store is an append-only store and can be used to store and access historical feature data. Table formats provide a way to abstract data files as a table.

Scripts 73

Scripts Engineering APIs Big data 73

AWS Machine Learning

OCTOBER 27, 2022

With Amazon Forecast , and support from the AWS ProServe team and AWS Machine Learning Solutions Lab , our customer—with limited internal data scientists—now has state-of-the-art forecasting capabilities. To train a predictor, training data is ingested into data storage from a data source, using one of the formats supported by Forecast.

APIs 97

APIs Best practices Metrics Government 97

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

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. The following figure shows both versions of these patterns.

Scripts 94

Scripts APIs Government Analytics 94

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 88

Enterprise Engineering Accountability APIs 88

AWS Machine Learning

AUGUST 15, 2022

In part 1, we described the data capture and document classification stages, where we categorized and tagged documents such as bank statements, invoices, and receipt documents. Before you get started, refer to part 1 for a high-level overview of IDP and details about the data capture, classification, and extraction stages.

Banking 74

Banking APIs Accountability Analytics 74

AWS Machine Learning

AUGUST 26, 2022

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. The input directory should look like the following code if the training data contains two images. Introduction to JumpStart – Semantic Segmentation. Solution overview.

APIs 78

APIs Scripts Enterprise Big data 78

AWS Machine Learning

AUGUST 2, 2023

Amazon Kendra supports a variety of document formats , such as Microsoft Word, PDF, and text from various data sources. We demonstrate CDE using simple examples and provide a step-by-step guide for you to experience CDE in an Amazon Kendra index in your own AWS account.

Enterprise 71

Enterprise Healthcare APIs Big data 71

AWS Machine Learning

AUGUST 3, 2023

Amazon Rekognition is a fully managed service that can perform CV tasks like object detection, video segment detection, content moderation, and more to extract insights from data without the need of any prior ML experience. Training ML algorithms for pose estimation requires a lot of expertise and custom training data.

APIs 63

APIs Scripts Engineering Technical Support 63

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 66

APIs Engineering Construction Benchmark 66

Hodusoft

AUGUST 30, 2022

Instead of relying on local hard drives and private data centers, cloud computing uses remote servers to store and access data. They can access various advanced company tools and data to assist customers without having to switch back and forth between applications. Who all can use cloud computing?

APIs 52

APIs Interactive Voice Response Contact Center voip 52

AWS Machine Learning

DECEMBER 1, 2022

Furthermore, after these models are deployed, you might stitch together data from various sources to gain end-to-end visibility into all your models, endpoints, monitoring history, and lineage. Upload and share model and data evaluation results. datasets=["s3://path/to/evaluation/data"], metric_groups=[my_metric_group], ) ].

Government 78

Government Metrics APIs Engineering 78

AWS Machine Learning

MARCH 22, 2023

In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. For more information about prerequisites, see Get Started with Data Wrangler.

APIs 79

APIs Engineering Analytics Scripts 79

AWS Machine Learning

SEPTEMBER 9, 2022

In the artificial intelligence (AI) space, athenahealth uses data science and machine learning (ML) to accelerate business processes and provide recommendations, predictions, and insights across multiple services. AWS Secrets Manager to protect secrets needed to access your applications. Amazon S3 for an easy-to-use pipeline artifacts store.

Engineering 75

Engineering Healthcare APIs Scripts 75

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. Prerequisites. AWS Cloud Development Kit (AWS CDK). Deploy the solution.

Engineering 84

Engineering APIs Education Best practices 84

Stratifyd

JANUARY 3, 2019

Key accountabilities & responsibilities. Maintain and develop Stratifyd’s API layer and/or analytics pipeline. Professional experience working with systems designed to deliver and operate on streaming data in near-real-time, or personal projects related to the same. and Python/C API. Preferred Skills & Experience.

Engineering 40

Engineering APIs Analytics Healthcare 40

AWS Machine Learning

DECEMBER 1, 2022

They have a wide variety of personas to account for, each with their own unique sets of needs, and building the right sets of permissions policies to meet those needs can sometimes be an inhibitor to agility. They’re permitted to process Amazon Simple Storage Service (Amazon S3) data, perform experiments, and produce models.

Management 73

Management Government Enterprise APIs 73

Interactions

SEPTEMBER 19, 2019

In 2013, Aloha (NCR) and MICROS (Oracle) accounted for about 43% of the restaurant POS market; by 2017, that number was down to about 30% and continues to fall. A big point of discussion during breakout sessions and over drinks (yes, really!) was the concept of standardized APIs across multiple technologies.

APIs 70

APIs Big data Engineering Sales 70

AWS Machine Learning

MAY 3, 2023

For any machine learning (ML) problem, the data scientist begins by working with data. This includes gathering, exploring, and understanding the business and technical aspects of the data, along with evaluation of any manipulations that may be needed for the model building process.

Engineering 70

Engineering Metrics APIs Big data 70

AWS Machine Learning

JULY 21, 2022

As data scientists iterate through that process, they need a reliable method to easily track experiments to understand how each model version was built and how it performed. When data scientists approach a new ML problem, they have to answer many different questions, from data availability to how they will measure model performance.

Metrics 77

Metrics Scripts Enterprise Telecommunications 77

aircall

APRIL 16, 2021

Unlike older systems, SaaS systems can host massive amounts of data. Data and reporting – Build advanced dashboards and sales reports. Data and reporting – Prioritize and adjust team goals quickly for improved support team performance by syncing data from various tools. Big data analytics.

SaaS 62

SaaS Sales Coaching APIs 62

Nicereply

MAY 28, 2020

That might include a software version, account number or additional logs. In machine learning jargon the list of examples is called training data and the process of learning (or tuning the function) is called training a machine learning model. Building your training data for AI. Correct data. and many many more.

Customer Support 92

Customer Support APIs Big data Personalization 92

AWS Machine Learning

OCTOBER 4, 2022

One of the main drivers for new innovations and applications in ML is the availability and amount of data along with cheaper compute options. In the data preparation step, data is loaded, massaged, and transformed into the type of inputs, or features, the ML model expects. Model training and tuning. Model evaluation.

Scripts 72

Scripts Engineering Management APIs 72

aircall

MAY 24, 2021

In today’s marketplace, it’s hard to survive without the cloud, big data, APIs, IoT, machine learning, artificial intelligence, automation, and mobile technologies. 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

Talkdesk

JANUARY 16, 2018

The performance-enhancing information is already there , it’s waiting to be found in the call data. With technological advancements in speech recognition, artificial intelligence and big data, the spoken words in those calls can now be used to elicit actionable insights from spoken information.

Analytics 40

Analytics Call Center Customer centricity Construction 40

Talkdesk

JANUARY 16, 2018

The performance-enhancing information is already there , it’s waiting to be found in the call data. With technological advancements in speech recognition, artificial intelligence and big data, the spoken words in those calls can now be used to elicit actionable insights from spoken information.

Analytics 40

Analytics Call Center Customer centricity Construction 40

AWS Machine Learning

MAY 8, 2023

In this post, we address these limitations by implementing the access control outside of the MLflow server and offloading authentication and authorization tasks to Amazon API Gateway , where we implement fine-grained access control mechanisms at the resource level using Identity and Access Management (IAM).

APIs 70

APIs Government Accountability Scripts 70

AWS Machine Learning

FEBRUARY 1, 2024

Make sure to validate prompt input data and prompt input size for allocated character limits that are defined by your model. If you’re performing prompt engineering, you should persist your prompts to a reliable data store. In the batch case, there are a couple challenges compared to typical data pipelines.

Best practices 110

Best practices Engineering SaaS APIs 110

Enghouse Interactive

JULY 10, 2018

A study conducted by Dimension Data found that 73% of customers prefer to use a company’s website, instead of using social media, SMS and live chat for support. Use data to optimize the FAQ experience. Making significant changes to an account. Provide simple digital self-service touch points.

Self service 40

Self service CRM Contact Center Analytics 40

SmartKarrot

FEBRUARY 3, 2022

Its main goal is to assist businesses in managing their financial routines and optimizing procedures such as accounting, stock, banking, and electronic invoicing, among other things. EBANX features hosted pages, and developer APIs, among other features. ContaAzul is a Brazilian business management software for small businesses.

SaaS 10

SaaS Real estate Construction Transportation 10

AWS Machine Learning

SEPTEMBER 6, 2023

With Amazon Kendra, you can easily aggregate content from a variety of content repositories into an index that lets you quickly search all your enterprise data and find the most accurate answer. Solution overview In our solution, we configure AEM as a data source for an Amazon Kendra search index using the Amazon Kendra AEM connector.

Management 95

Management Enterprise Analytics Finance 95

AWS Machine Learning

AUGUST 29, 2023

This architecture design represents a multi-account strategy where ML models are built, trained, and registered in a central model registry within a data science development account (which has more controls than a typical application development account).

Scripts 73

Scripts APIs Enterprise Accountability 73