Accountability, Engineering and industry solution

23 Inspiring Women to Watch in 2023

TechSee

MARCH 7, 2023

She is also an experienced National Account Manager with a demonstrated history of working in the hospitality industry. Caroline Yap, Director of AI Practice, Google Cloud – Caroline’s team accelerates customer transformations with AI and Industry Solutions, including Contact Center AI (CCAI), Vertex AI, and DocAI.

Chief Customer Officer

Chief Customer Officer Contact Center Telecommunications Finance

Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

AWS Machine Learning

DECEMBER 19, 2023

Many businesses already have data scientists and ML engineers who can build state-of-the-art models, but taking models to production and maintaining the models at scale remains a challenge. Just like DevOps combines development and operations for software engineering, MLOps combines ML engineering and IT operations.

Analytics

Analytics Engineering Government Best practices

Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

JANUARY 5, 2024

Wipro further accelerated their ML model journey by implementing Wipro’s code accelerators and snippets to expedite feature engineering, model training, model deployment, and pipeline creation. Across accounts, automate deployment using export and import dataset, data source, and analysis API calls provided by QuickSight.

Management

Management APIs Engineering Government

Automated exploratory data analysis and model operationalization framework with a human in the loop

AWS Machine Learning

NOVEMBER 1, 2022

According to a Forbes survey , there is widespread consensus among ML practitioners that data preparation accounts for approximately 80% of the time spent in developing a viable ML model. However, a lot of these processes are still currently done manually by a data engineer or analyst who analyzes the data using these tools.

Engineering

Engineering APIs Accountability industry solution

Enhance call center efficiency using batch inference for transcript summarization with Amazon Bedrock

AWS Machine Learning

AUGUST 21, 2024

We also explore best practices for optimizing your batch inference workflows on Amazon Bedrock, helping you maximize the value of your data across different use cases and industries. Solution overview The batch inference feature in Amazon Bedrock provides a scalable solution for processing large volumes of data across various domains.

Call Center

Call Center APIs Engineering Accountability

Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

FEBRUARY 13, 2023

Prerequisites In order to provision ML environments with the AWS CDK, complete the following prerequisites: Have access to an AWS account and permissions within the Region to deploy the necessary resources for different personas. Make sure you have the credentials and permissions to deploy the AWS CDK stack into your account.

Scripts

Scripts Best practices Transportation Construction

Streamline Sales Processes with Enterprise CPQ

Cincom

MAY 8, 2024

Integration with Existing Systems: APIs facilitate data sharing between CPQ and other core platforms like CRM, ERP, accounting, e-commerce, and more. These Configure, Price, Quote engines can encode deeply technical manufacturing specifications required for specialized equipment. What Makes Cincom’s CPQ Solutions Stand Out?

Enterprise

Enterprise Sales CRM Upselling

Run your local machine learning code as Amazon SageMaker Training jobs with minimal code changes

AWS Machine Learning

APRIL 25, 2023

This allows ML engineers and admins to configure these environment variables so data scientists can focus on ML model building and iterate faster. About the Authors Dipankar Patro is a Software Development Engineer at AWS SageMaker, innovating and building MLOps solutions to help customers adopt AI/ML solutions at scale.

Engineering

Engineering Metrics Construction Management

Build an agronomic data platform with Amazon SageMaker geospatial capabilities

AWS Machine Learning

DECEMBER 1, 2022

Together, these additions help agronomists, software developers, ML engineers, data scientists, and remote sensing teams provide scalable, valuable decision-making support systems to farmers. She is passionate about bringing cutting-edge use cases to the forefront and helping customers build strategic solutions on AWS.

APIs

APIs Analytics Engineering Technology

EVERYTHING YOU NEED TO KNOW ABOUT STIR/SHAKEN

Hodusoft

OCTOBER 26, 2023

In later years, STIR/SHAKEN was developed jointly by the SIP Forum and the Alliance for Telecommunications Industry Solutions (ATIS) to efficiently implement the Internet Engineering Task Force (IETF). Malicious actors can still use other methods, such as social engineering, to deceive users and commit fraud.

Telecommunications

Telecommunications Government Education voip

Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

AWS Machine Learning

SEPTEMBER 18, 2024

Instructions – The following are some examples from the design instructions: Header Design: - Choose an attention-grabbing background color and font that aligns with the client's industry. Prerequisites For this post, you need the following prerequisites: An AWS account. The AWS Command Line Interface (AWS CLI) installed.

Personalization

Personalization Construction Consulting Consulting

Bring SageMaker Autopilot into your MLOps processes using a custom SageMaker Project

AWS Machine Learning

JUNE 14, 2023

Data Wrangler provides an end-to-end solution to import, prepare, transform, featurize, and analyze data. You can integrate a Data Wrangler data preparation flow into your ML workflows to simplify and streamline data preprocessing and feature engineering using little to no coding.

Best practices

Best practices Scripts Education Transportation

Amazon SageMaker Studio Lab continues to democratize ML with more scale and functionality

AWS Machine Learning

NOVEMBER 11, 2022

We made it simple to get started with just an email address, without the need for installs, setups, credit cards, or an AWS account. Going forward every customer be required to link their account to a mobile phone number. Eda Johnson, Partner Industry Solutions Manager at Snowflake. Customer success stories.

Accountability

Accountability Engineering industry solution Enterprise

Amazon Bedrock Custom Model Import now generally available

AWS Machine Learning

OCTOBER 21, 2024

The maximum concurrency that you can expect for each model will be 16 per account. The default import quota for each account is three models. If you need more for your use cases, work with your account teams to increase your account quota. degree in Electrical Engineering.

APIs

APIs Scripts Finance Real estate

Automate cloud security vulnerability assessment and alerting using Amazon Bedrock

AWS Machine Learning

NOVEMBER 18, 2024

To address this challenge, this post demonstrates a proactive approach for security vulnerability assessment of your accounts and workloads, using Amazon GuardDuty , Amazon Bedrock , and other AWS serverless technologies. The EventBridge rule invokes a Step Functions workflow. read()) message = response_body.get('content')[0].get("text")

APIs

APIs Accountability Engineering Enterprise

Customer Contact Central

23 Inspiring Women to Watch in 2023

Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

Trending Sources

Modernizing data science lifecycle management with AWS and Wipro

Automated exploratory data analysis and model operationalization framework with a human in the loop

Enhance call center efficiency using batch inference for transcript summarization with Amazon Bedrock

Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

Streamline Sales Processes with Enterprise CPQ

Run your local machine learning code as Amazon SageMaker Training jobs with minimal code changes

Build an agronomic data platform with Amazon SageMaker geospatial capabilities

EVERYTHING YOU NEED TO KNOW ABOUT STIR/SHAKEN

Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

Bring SageMaker Autopilot into your MLOps processes using a custom SageMaker Project

Amazon SageMaker Studio Lab continues to democratize ML with more scale and functionality

Amazon Bedrock Custom Model Import now generally available

Automate cloud security vulnerability assessment and alerting using Amazon Bedrock

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