AWS Machine Learning

OCTOBER 31, 2024

An AWS account and an AWS Identity and Access Management (IAM) principal with sufficient permissions to create and manage the resources needed for this application. If you don’t have an AWS account, refer to How do I create and activate a new Amazon Web Services account? The script deploys the AWS CDK project in your account.

APIs 124

APIs Scripts Accountability Construction 124

AWS Machine Learning

FEBRUARY 29, 2024

Solution overview The architecture at Deutsche Bahn consists of a central platform account managed by a platform team responsible for managing infrastructure and operations for SageMaker Studio. The AI team does not have AWS Management Console access to the AI platform team’s account.

APIs 123

APIs Construction Transportation Analytics 123

AWS Machine Learning

MARCH 15, 2023

SageMaker runs the legacy script inside a processing container. SageMaker takes your script, copies your data from Amazon Simple Storage Service (Amazon S3), and then pulls a processing container. The SageMaker Processing job sets up your processing image using a Docker container entrypoint script. Create an S3 bucket.

Scripts 136

Scripts APIs Engineering Construction 136

AWS Machine Learning

JANUARY 17, 2023

AWS CDK constructs are the building blocks of AWS CDK applications, representing the blueprint to define cloud architectures. You have permissions to create and deploy AWS CDK and AWS CloudFormation resources as defined in the scripts outlined in the post. AWS CDK scripts. Studio construct file. The AWS CDK is installed.

Construction 93

Construction Engineering Automotive Scripts 93

AWS Machine Learning

JULY 25, 2024

eks-5e0fdde Install the required AWS Identity and Access Management (IAM) role for the service account and the node problem detector plugin. To create the policy, aws cli can be used as shown below where npd-policy-trimmed.json is the policy json constructed from the template above. /install.sh compute.internal Ready 31d v1.29.0-eks-5e0fdde

Construction 114

Construction Metrics Scripts Engineering 114

AWS Machine Learning

JULY 31, 2023

When starting an estimator job, SageMaker mounts the FSx for Lustre file system to the instance file system, then starts the script. A single inference run is divided into two steps: an MSA construction step using an optimal CPU instance and a structure prediction step using a GPU instance. and create_alignments.py

Scripts 89

Scripts Construction Metrics Management 89

Quality Contact Solutions

OCTOBER 19, 2022

Yes, it would help if you came into a call as prepared as possible, but remember that the other person on the line doesn’t know your script. Make sure to include answers to these questions in your conversations: Who am I? Furthermore, call scripts or guidelines address questions as accurately and quickly as possible.

Call Center 98

Call Center Scripts Telemarketing Best practices 98

AWS Machine Learning

AUGUST 10, 2023

As recommended by AWS as a best practice , customers have used separate accounts to simplify policy management for users and isolate resources by workloads and account. SageMaker services, such as Processing, Training, and Hosting, collect metrics and logs from the running instances and push them to users’ Amazon CloudWatch accounts.

Scripts 90

Scripts Accountability Metrics Best practices 90

AWS Machine Learning

SEPTEMBER 20, 2024

Prerequisites Make sure you have the following prerequisites: An active AWS account. Run AWS CDK bootstrapping on your AWS account. L1 constructs, also known as AWS CloudFormation resources, are the lowest-level constructs available in the AWS CDK and offer no abstraction.

APIs 105

APIs Chatbots Construction Engineering 105

AWS Machine Learning

OCTOBER 24, 2024

Prerequisites To run this solution in your AWS account, complete the following prerequisites: Clone the GitHub repository and follow the steps explained in the README. Clean up agent resources and their dependencies using a script. $code_to_explain (this variable is populated using code contents from any code file of your choice.

APIs 95

APIs Best practices Construction Engineering 95

Nicereply

NOVEMBER 7, 2023

Here’s how to give constructive and actionable negative feedback with many real-world negative performance feedback examples, so you can improve how you phrase and approach it. It turns vague feedback into constructive negative feedback. 3) “You rely too heavily on macros / scripted responses.”

Feedback 59

Feedback Construction Scripts Engineering 59

AWS Machine Learning

OCTOBER 22, 2024

Prerequisites To build this solution, you need the following prerequisites: An AWS account that will contain all your AWS resources. The Execute code step type was introduced along with the new visual editor and provides three execution modes in which code can be run: Jupyter Notebooks, Python functions, and Shell or Python scripts.

Scripts 80

Scripts Engineering Construction APIs 80

AWS Machine Learning

AUGUST 11, 2022

For example, in some e-commerce platforms, account registration is wide open. Fraudsters can behave maliciously just once with an account and never use the same account again. Additionally, it’s challenging to construct a streaming data pipeline that can feed incoming events to a GNN real-time serving API.

Construction 94

Construction APIs Accountability Scripts 94

AWS Machine Learning

MAY 10, 2023

Solution overview A typical training job for deep learning in SageMaker consists of two main steps: preparing a training script and configuring a SageMaker training job launcher. Prerequisites To start using SageMaker with TensorBoard, you need to set up a SageMaker domain with an Amazon VPC under an AWS account. x_test / 255.0

Scripts 85

Scripts Metrics Construction APIs 85

AWS Machine Learning

FEBRUARY 13, 2023

In this post, we enable the provisioning of different components required for performing log analysis using Amazon SageMaker on AWS DeepRacer via AWS CDK constructs. An administrator can run the AWS CDK script provided in the GitHub repo via the AWS Management Console or in the terminal after loading the code in their environment.

Scripts 85

Scripts Best practices Transportation Construction 85

AWS Machine Learning

FEBRUARY 28, 2023

Businesses looking for a fully-managed AWS AI service for fraud detection can also use Amazon Fraud Detector , which you can use to identify suspicious online payments, detect new account fraud, prevent trial and loyalty program abuse, or improve account takeover detection. We compare graph sizes in terms of number of nodes.

Construction 96

Construction Benchmark Accountability Healthcare 96

Callminer

JANUARY 18, 2021

Encourage agents to cheer up callers with more flexible scripting. “A 2014 survey suggested that 69% of customers feel that their call center experience improves when the customer service agent doesn’t sound as though they are reading from a script. Minimise language barriers with better hires.

Best practices 226

Best practices Call Center Contact Center Scripts 226

Callminer

APRIL 30, 2020

Set time limit and end the interaction, when the customer refuses to act constructively. ” – Gregory Ciotti, Go-To Scripts for Handling 10 Tricky Customer Service Scenarios , Help Scout; Twitter: @helpscout. Account for customers’ biases and try to adapt to their communication style.

Customer Service 273

Customer Service Scripts Construction Feedback 273

AWS Machine Learning

MAY 8, 2023

How to use MLflow as a centralized repository in a multi-account setup. Prerequisites Before deploying the solution, make sure you have access to an AWS account with admin permissions. AWS CDK constructs are the building blocks of AWS CDK applications, representing the blueprint to define cloud architectures.

APIs 82

APIs Government Accountability Scripts 82

AWS Machine Learning

MAY 30, 2024

Business metadata can be constructed using services like Amazon DataZone. A lightweight approach was taken to quickly build the required technical and business catalogs using custom scripts. We used TypeScript for the AWS CDK stacks and constructs. Solutions Architect at AWS VB Bakre is an Account Manager at AWS

Real estate 129

Real estate APIs Metrics Construction 129

AWS Machine Learning

AUGUST 11, 2023

The framework works by posing the sequence to be classified as an NLI premise and constructs a hypothesis from each candidate label. For example, if we want to evaluate whether a sequence belongs to the class politics , we could construct a hypothesis of “This text is about politics.” We specify the script_scope as inference.

Scripts 87

Scripts Finance Construction APIs 87

AWS Machine Learning

JANUARY 19, 2024

Choose Request increase at account-level. The requested quota approval may take some time to complete depending on the account permissions. Phrase 2: A bearded man pulls a rope We load the textual recognizing entailment dataset from the GLUE benchmarking suite via the dataset library from Hugging Face within our training script (./training.py

Metrics 121

Metrics Scripts Benchmark Enterprise 121

AWS Machine Learning

MARCH 23, 2023

upload file(fname) In this example, we’re using script-mode on a natively supported framework within SageMaker ( scikit-learn ), where we instantiate our default SageMaker SKLearn estimator with a custom training script to handle the encrypted data during inference. default_bucket() upload _path = f"training data/fhe train.csv" boto3.Session().resource("s3").Bucket

Scripts 119

Scripts APIs Government Analytics 119

AWS Machine Learning

SEPTEMBER 18, 2023

The combination of Ray and SageMaker provides end-to-end capabilities for scalable ML workflows, and has the following highlighted features: Distributed actors and parallelism constructs in Ray simplify developing distributed applications. In the following code, the desired number of actors is passed in as an input argument to the script.

Scripts 125

Scripts APIs Government Construction 125

SharpenCX

FEBRUARY 24, 2023

Develop a resource library for your agents with training materials, sample scripts, and more. Provide constructive feedback based upon call recordings. For example: Use your highest performing agents to “buddy up” and coach their peers. Create healthy competition with a leader board or performance tiles. Remember, A.B.T.,

Banking 76

Banking Personalization Customer Experience Chatbots 76

NobelBiz

APRIL 23, 2024

Account Setup and Verification : Upon receiving a debt, the agency sets up an account for the debtor and verifies all the details. Call centers are equipped with tools that allow agents to quickly access a debtor’s full account information, ensuring that every interaction is informed and constructive.

Customer centricity 94

Customer centricity Contact Center Technology Telemarketing 94

AWS Machine Learning

AUGUST 9, 2024

It lays out a type of internal monologue or cognitive path for the LLM to follow in order to comprehend the key information within the question, determine what kind of response is needed, and construct that response in an appropriate and accurate way. For more details see the OpenSearch documentation on structuring a search query.

Government 126

Government Healthcare Construction Engineering 126

Customer Relationship Metrics

JULY 26, 2017

Ownership over Accountability. When your focus is on how to hold people accountable, it takes your focus off an important question: “Why do we need to hold people accountable in the first place?”. She states that if you believe people need to be held accountable, what is YOUR underlying belief? Get a Constructive Process.

Contact Center 211

Contact Center Calibration Construction Customer centricity 211

JustCall

MARCH 6, 2023

Regular feedback can also foster a sense of accountability and improve job satisfaction, which can, in turn, increase motivation and engagement. To be effective, feedback and coaching should be specific, timely, and delivered in a constructive and supportive manner.

Coaching 52

Coaching Call Center Scripts Construction 52

Fonolo

APRIL 5, 2022

Their day-to-day work is riddled with angry customers, monotonous scripts, and constant problem-solving. A call center leader should deliver encouragement and constructive criticism in a way that helps the agent grow. How to Foster Agent Engagement in a Hybrid Contact Center. Why Investing in the Right Leader is Critical.

Call Center 99

Call Center Contact Center Gamification Construction 99

AWS Machine Learning

DECEMBER 6, 2023

A prompt is constructed from the concatenation of a system message with a context that is formed of the relevant chunks of documents extracted in step 2, and the input question itself. Deploy the solution To install this solution in your AWS account, complete the following steps: Clone the repository on GitHub.

Analytics 126

Analytics APIs Engineering Construction 126

Satrix Solutions

JANUARY 29, 2021

Remaining open-minded and utilizing active listening when closing the feedback loop with customers can be challenging, especially when your CS team member is faced with constructive feedback. Crafting scripts for the CS team to follow can be helpful to lay the groundwork for a consistent and thorough approach to the closed loop follow-up.

Scripts 78

Scripts Surveys Feedback Customer centricity 78

AWS Machine Learning

SEPTEMBER 1, 2023

Each business unit has each own set of development (automated model training and building), preproduction (automatic testing), and production (model deployment and serving) accounts to productionize ML use cases, which retrieve data from a centralized or decentralized data lake or data mesh, respectively.

Engineering 127

Engineering Accountability Construction APIs 127

Callminer

JULY 23, 2019

What the definition fails to account for, however, is the two-way nature of the transmission. If you must provide constructive criticism, start the coaching session by praising the employee. When you observe calls, write down notes about each agent’s attitude and adherence to your company’s call scripts. Don’t forget the basics.

Best practices 140

Best practices Feedback Call Center Coaching 140

AWS Machine Learning

AUGUST 30, 2023

Prerequisites To get started, you need an AWS account in which you can use SageMaker Studio. Construct the inference request as a JSON payload and use it to query the endpoints for the pre-trained and fine-tuned models. You will need to create a user profile for SageMaker Studio if you don’t already have one.

Healthcare 133

Healthcare APIs Metrics Scripts 133

Totango

SEPTEMBER 13, 2022

Similarly, your customer success team can piece SuccessBLOCs together to construct playbooks for your entire customer journey. For example, you can have a different playbook script for customers with low satisfaction scores versus those with high satisfaction scores. Plan your playbook to address both types of scenarios.

SaaS 89

SaaS Upselling Best practices Customer retention 89

Tethr

JULY 21, 2020

Using Tethr’s Agent Impact Score (AIS), businesses can start connecting agent quality to effort reduction, while holding agents accountable for customer experience. They also discovered that it drives more constructive and results-driven coaching enabling them to be better equipped to measure agent performance in their company.

Coaching 69

Coaching Construction Upselling Scripts 69