AWS Machine Learning

DECEMBER 21, 2022

SageMaker Feature Store automatically builds an AWS Glue Data Catalog during feature group creation. 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.

Scripts 77

Scripts Engineering APIs Big data 77

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 64

APIs Customer Experience Feedback Chatbots 64

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 74

APIs Metrics Enterprise Marketing 74

AWS Machine Learning

NOVEMBER 27, 2023

In this example, we have chosen Amazon OpenSearch as our vector database. From the example code snippets, browse and select extract text from pdf. Let’s add a step to redact Personal Identifiable Information (PII) data from the extracted data by leveraging Amazon Comprehend. Choose Add Step and choose Custom Transform.

Engineering 79

Engineering APIs Big data Accountability 79

AWS Machine Learning

SEPTEMBER 9, 2022

Reflection time is the time it takes for a feature to be available to read after the contributing events were emitted, for example, the time between a listener liking a show and the PIT LikeCount feature being updated. Sources of the data are the backend services directly serving the app. Data Engineer for Amp on Amazon.

Personalization 76

Personalization APIs Metrics Engineering 76

AWS Machine Learning

AUGUST 3, 2023

For example, on online shopping platforms, the angle at which products are shown in images has an effect on the rate of buying this product. It can be used for further postprocessing on the image, for example, to crop out the whole car. One such use case would be customer-facing mobile applications where an image upload is required.

APIs 66

APIs Scripts Engineering Technical Support 66

AWS Machine Learning

FEBRUARY 13, 2024

For example, in an application that recommends a music playlist, features could include song ratings, listening duration, and listener demographics. For example, the analytics team may curate features like customer profile, transaction history, and product catalogs in a central management account.

Accountability 112

Accountability Government Engineering Scripts 112

AWS Machine Learning

AUGUST 15, 2022

Named entity recognition (NER) is a natural language processing (NLP) sub-task that involves sifting through text data to locate noun phrases, called named entities, and categorizing each with a label, such as brand, date, event, location, organizations, person, quantity, or title. The following screenshot shows an example of our entity list.

Banking 78

Banking APIs Accountability Analytics 78

AWS Machine Learning

AUGUST 2, 2023

As an example, a GenAI model can be used to generate a textual description for the following image as “a dog laying on the ground under an umbrella” during document ingestion of the image. 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 75

Enterprise Healthcare APIs Big data 75

AWS Machine Learning

NOVEMBER 29, 2023

Amazon SageMaker notebook jobs allow data scientists to run their notebooks on demand or on a schedule with a few clicks in SageMaker Studio. With this launch, you can programmatically run notebooks as jobs using APIs provided by Amazon SageMaker Pipelines , the ML workflow orchestration feature of Amazon SageMaker.

APIs 89

APIs Management Engineering Big data 89

AWS Machine Learning

SEPTEMBER 9, 2022

Amp stakeholders require this data to power ML processes or predictive models, content moderation tools, and product and program dashboards (for example, trending shows). Streaming data enables Amp customers to conduct and measure experimentation. Data Engineer for Amp on Amazon. Key benefits. Jeff Christophersen is a Sr.

Analytics 73

Analytics Engineering APIs Metrics 73

JivoChat

JANUARY 31, 2023

There is where data analysis comes in, you can use the data your company has, and key performance indicators (KPIs) to indicate what path you should follow. For example, a company is about to launch a new product and the marketing is developing an email marketing campaign for that.

Analytics 75

Analytics APIs Scripts Big data 75

Avaya

NOVEMBER 16, 2016

Open APIs: An open API model is advantageous in that it allows developers outside of companies to easily access and use APIs to create breakthrough innovations. At the same time, however, publicly available APIs are also exposed ones. billion GB of data were being produced every day in 2012 alone!)

APIs 72

APIs Transportation Enterprise Healthcare 72

AWS Machine Learning

APRIL 11, 2023

In the post Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication , we demonstrated how to build a private API to generate Amazon SageMaker Studio presigned URLs that are only accessible by an authenticated end-user within the corporate network from a single account.

APIs 74

APIs Accountability Scripts Enterprise 74

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. For instance, you can extract or filter specific dates or timestamps from the data that are not relevant.

Metrics 99

Metrics Analytics APIs Big data 99

AWS Machine Learning

JULY 19, 2023

When that job is done, you can invoke an API that summarizes the text or answers questions about it. For example, the call to summarize a document invokes a Lambda function that posts a message to an Amazon Simple Queue Service (Amazon SQS) queue. In entered the Big Data space in 2013 and continues to explore that area.

Construction 66

Construction APIs Big data Engineering 66

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). This is and always has been the top goal for organizations, and is a perfect (and real) example of working smarter, not harder.

Contact Center 75

Contact Center contact center solutions CRM Enterprise 75

Hello Customer

JUNE 21, 2023

In 2018 we saw a similar evolution in the data space. Up until then, organizations often used big data warehouses to centralize all their data. The downside was that that data never fitted a specific use case: the finance department wants to see data in a different way than the product or marketing team.

Customer Experience 52

Customer Experience Engineering Feedback Finance 52

AWS Machine Learning

JANUARY 26, 2024

Lastly, we connect these together with an example LLM workload to describe an approach towards architecting with defense-in-depth security across trust boundaries. Define strict data ingress and egress rules to help protect against manipulation and exfiltration using VPCs with AWS Network Firewall policies.

Best practices 129

Best practices Government Engineering Accountability 129

AWS Machine Learning

JULY 19, 2022

For the purpose of our example, we requested the speech mark type as word. 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.

Engineering 88

Engineering APIs Education Best practices 88

AWS Machine Learning

MAY 3, 2023

For example, a model predicting direct mail propensity is quite different from a model predicting discount coupon sensitivity of the customers of a Vericast client. Furthermore, SageMaker Processing provides an API interface for running, monitoring, and evaluating the workload.

Engineering 75

Engineering Metrics APIs Big data 75

AWS Machine Learning

AUGUST 13, 2024

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case. Lastly, the Lambda function stores the question list in Amazon S3.

Healthcare 110

Healthcare APIs Consulting Consulting 110

AWS Machine Learning

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise. latest USER root RUN dnf install python3.11

Big data 96

Big data Engineering Accountability Real estate 96

Xaqt

FEBRUARY 6, 2020

Back then, Artificial Intelligence, APIs, Robotic Process Automation (RPA), and even "Big Data" weren't things yet. Let’s use a stereotypical call center as an example. Cisco acquired the company in 2007 before we fully delivered on the vision, but recent developments in the market make now the perfect time to implement.

Contact Center 52

Contact Center Enterprise Call Center APIs 52

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. Training job steps – An iterative process that teaches a model to make predictions by presenting examples from a training dataset. At the core, this is a regression problem.

Scripts 76

Scripts Engineering Management APIs 76

Talkdesk

JANUARY 16, 2018

By recognizing your agent heroes as examples to follow, you reinforce their strong performance and encourage them to continue to lead and inspire. 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

By recognizing your agent heroes as examples to follow, you reinforce their strong performance and encourage them to continue to lead and inspire. 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

CSM Magazine

JULY 28, 2015

Designing mobile hooks, leveraging new APIs to enhance the existing call flow and creating omni-channel content delivery is outside the scope of most call center operations. Jumping into a text based chat is an example. The challenge for many providers is executing on this vision. Disconnect Mitigation Strategies.

Call Center 45

Call Center Customer Service Call flow Abandon rate 45

AWS Machine Learning

JULY 15, 2024

For example, you can add custom terminology glossaries, while for LLMs, you might need fine-tuning that can be labor-intensive and costly. Here’s an example. For example, for science genres that have fewer idioms, you can turn the idiom detector off. The following is an example of an English sentence before shortening.

Engineering 102

Engineering Entertainment Big data APIs 102

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). Adds an IAM authorizer.

APIs 74

APIs Government Accountability Scripts 74

AWS Machine Learning

MARCH 22, 2023

Access and permissions to configure IDP to register Data Wrangler application and set up the authorization server or API. For data scientist: An S3 bucket that Data Wrangler can use to output transformed data. An AWS account with permissions to create AWS Identity and Access Management (IAM) policies and roles.

APIs 84

APIs Engineering Analytics Scripts 84

Enghouse Interactive

JULY 10, 2018

For example, “How do I cancel a lost card?” Here are some examples where members will expect personal and highly relevant interactions: -Financial advice from an expert when researching home loans, or investment planning. For Partner Colorado, Enghouse’s use of open APIs allows integration with the in-house CRM.

Self service 40

Self service CRM Contact Center Analytics 40

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. Python 3.10

Management 96

Management APIs Best practices Calibration 96

AWS Machine Learning

JANUARY 4, 2024

NLP SQL enables business users to analyze data and get answers by typing or speaking questions in natural language, such as the following: “Show total sales for each product last month” “Which products generated more revenue?” Fine-tuning directly trains the model on the end task but requires many text-SQL examples. gymnast_id = t2.

Best practices 127

Best practices Enterprise Engineering APIs 127

AWS Machine Learning

AUGUST 8, 2024

Use the following as an example: {{example redacted}} 2. Use the following as an example: {{example redacted}} 5. The following screenshot shows an example of the chat interface developed using Streamlit. Join tables as necessary to get the correct result. The schema name is represented as. within the LookML views.

Engineering 102

Engineering Accountability Feedback Enterprise 102

AWS Machine Learning

SEPTEMBER 11, 2024

In this example figure, features are extracted from raw historical data, which are then are fed into a neural network (NN). Due to model and data size, learning is distributed over multiple PBAs in an approach called parallelism. As shown in the preceding figure, the ML paradigm is learning (training) followed by inference.

Benchmark 77

Benchmark Banking Analytics Big data 77

Dialer 360

DECEMBER 14, 2018

These offer applications with open APIs provide a new level of customization and integration. even small business is taking advantage of sophisticated analytics to turn data. For example, call and monitor recording, chats, SMS and many more, useful feedback for their reps. Better Call Center Analytics. Personalization.

Call Center 21

Call Center Customer centricity Analytics APIs 21