pindrop

MAY 7, 2020

With verified account numbers and some basic information, a fraudster has all they need to execute fraud through the phone channel using convincing scripts involving the current crisis to socially engineer contact center agents and individuals. . The New Fraud Scripts. Travel-Related Inconveniences and Emergencies .

Scripts 79

Scripts Contact Center Interactive Voice Response Banking 79

AWS Machine Learning

OCTOBER 5, 2023

We review the fine-tuning scripts provided by the AWS Neuron SDK (using NeMo Megatron-LM), the various configurations we used, and the throughput results we saw. For example, to use the RedPajama dataset, use the following command: wget [link] python nemo/scripts/nlp_language_modeling/preprocess_data_for_megatron.py

Scripts 117

Scripts Big data Engineering SaaS 117

AWS Machine Learning

OCTOBER 14, 2024

Amazon OpenSearch Service is a powerful, highly flexible search engine that allows users to retrieve data based on a variety of lexical and semantic retrieval approaches. This may be useful for later chat assistant analytics. However, it retains the powerful 470 hp V8 engine and has been well-maintained with service records.

Chatbots 119

Chatbots APIs Engineering Healthcare 119

AWS Machine Learning

MARCH 15, 2023

We demonstrate how two different personas, a data scientist and an MLOps engineer, can collaborate to lift and shift hundreds of legacy models. SageMaker runs the legacy script inside a processing container. We assume the involvement of two personas: a data scientist and an MLOps engineer.

Scripts 132

Scripts APIs Engineering Construction 132

OrecX

JANUARY 27, 2022

Some of those ways include: Automated QA - Organizations can now capture and automatically analyze (with the addition of AI and speech analytics ) all their agent calls rather than a mere sampling, without adding more supervisors and quality evaluators. Supervisors can then intervene live to stave off any issues.

Scripts 127

Scripts Analytics Contact Center Education 127

AWS Machine Learning

SEPTEMBER 9, 2022

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics. Business intelligence (BI) and analytics.

Analytics 75

Analytics Engineering Metrics APIs 75

AWS Machine Learning

JUNE 16, 2023

SambaSafety serves more than 15,000 global employers and insurance carriers with driver risk and compliance monitoring, online training and deep risk analytics, as well as risk pricing solutions. They had several skilled engineers and scientists building insightful models that improved the quality of risk analysis on their platform.

Scripts 91

Scripts Engineering Accountability Consulting 91

SharpenCX

MARCH 25, 2021

Turns out, customer service analytics, including speech analytics, is one of the five technology trends in Gartner’s custom e r experience hype cycle this year. . That’s why I’m diving in on how to use speech analytics to improve coaching and engagement in your call center. . What can speech analytics do for my call center?

Coaching 67

Coaching Call Center Analytics Quality management 67

AWS Machine Learning

SEPTEMBER 20, 2023

SageMaker Studio allows data scientists, ML engineers, and data engineers to prepare data, build, train, and deploy ML models on one web interface. SageMaker is a comprehensive ML service enabling business analysts, data scientists, and MLOps engineers to build, train, and deploy ML models for any use case, regardless of ML expertise.

Scripts 118

Scripts Engineering Accountability Enterprise 118

AWS Machine Learning

OCTOBER 16, 2024

Amazon SageMaker supports geospatial machine learning (ML) capabilities, allowing data scientists and ML engineers to build, train, and deploy ML models using geospatial data. You simply specify a script that defines your workload, the location of your geospatial data on Amazon Simple Storage Service (Amazon S3), and the geospatial container.

Engineering 101

Engineering Scripts Government B2B 101

AWS Machine Learning

FEBRUARY 27, 2024

Model build pipeline The model build pipeline orchestrates the model’s lifecycle, beginning from preprocessing, moving through training, and culminating in being registered in the model registry: Preprocessing – Here, the SageMaker ScriptProcessor class is employed for feature engineering, resulting in the dataset the model will be trained on.

Best practices 129

Best practices Engineering Scripts Analytics 129

AWS Machine Learning

OCTOBER 18, 2024

From real-time analytics and predictive maintenance to personalized customer experiences and autonomous systems, this approach caters to diverse needs. AI Hub offers automatic conversion and optimization of PyTorch or ONNX models for efficient on-device deployment using TensorFlow Lite, ONNX Runtime, or Qualcomm AI Engine Direct SDK.

Scripts 95

Scripts APIs Engineering Marketing 95

AWS Machine Learning

JANUARY 13, 2023

You can place the data in any folder of your choice, as long as the path is consistently referenced in the training script and has access enabled. script converts NumPy arrays into Torch tensors, as shown in the following code snippet. Import the data loader into the training script. Note that FedML provides dataset.py

Analytics 79

Analytics Healthcare Scripts Accountability 79

AWS Machine Learning

DECEMBER 21, 2022

Amazon SageMaker Feature Store is a purpose-built feature management solution that helps data scientists and ML engineers securely store, discover, and share curated data used in training and prediction workflows. Apache Iceberg is an open table format for very large analytic datasets. Note you will need to use Athena engine version 3.

Scripts 80

Scripts Engineering APIs Big data 80

AWS Machine Learning

AUGUST 4, 2022

This is a guest post by Viktor Enrico Jeney, Senior Machine Learning Engineer at Adspert. The results data from these jobs are stored in the Amazon S3 analytics layer. The Amazon S3 analytics layer is used to store the data that is used by the ML models for training purposes. Train the model. In the training_script.py

Scripts 108

Scripts Advertising Engineering Analytics 108

AWS Machine Learning

DECEMBER 14, 2023

This post is co-authored by Anatoly Khomenko, Machine Learning Engineer, and Abdenour Bezzouh, Chief Technology Officer at Talent.com. In line with this mission, Talent.com collaborated with AWS to develop a cutting-edge job recommendation engine driven by deep learning, aimed at assisting users in advancing their careers.

Engineering 99

Engineering Scripts Technology Analytics 99

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. ML engineers refine these foundational features, tailoring them for mature ML workflows. Their task is to construct and oversee efficient data pipelines.

Accountability 123

Accountability Government Engineering Scripts 123

AWS Machine Learning

JUNE 19, 2024

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 solutions. Outside of work, he enjoys spending time with family, reading, running, and playing golf.

APIs 122

APIs Engineering Accountability Big data 122

AWS Machine Learning

DECEMBER 6, 2023

This is especially true for questions that require analytical reasoning across multiple documents. This task involves answering analytical reasoning questions. In this post, we show how to design an intelligent document assistant capable of answering analytical and multi-step reasoning questions in three parts.

Analytics 120

Analytics APIs Engineering Construction 120

AWS Machine Learning

MARCH 8, 2023

After the data is downloaded into the training instance, the custom training script performs data preparation tasks and then trains the ML model using the XGBoost Estimator. A Python script to connect to Secrets Manager to retrieve Snowflake credentials. All code for this post is available in the GitHub repo.

Scripts 123

Scripts Accountability Enterprise Management 123

AWS Machine Learning

AUGUST 17, 2023

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development. You can perform any feature engineering in a Spark context and ingest final features into SageMaker Feature Store in just one Spark project.

APIs 81

APIs Engineering Scripts Analytics 81

AWS Machine Learning

JULY 25, 2024

Overview of solution This post presents the steps to create a certificate and private key, configure Azure AD (either using the Azure AD console or a PowerShell script), and configure Amazon Q Business. You need a Microsoft Windows instance to run PowerShell scripts and commands with PowerShell 7.4.1+.

Scripts 98

Scripts APIs Engineering Enterprise 98

Pointillist

JULY 25, 2018

Companies are increasingly benefiting from customer journey analytics across marketing and customer experience, as the results are real, immediate and have a lasting effect. Learning how to choose the best customer journey analytics platform is just the start. Steps to Implement Customer Journey Analytics. By Swati Sahai.

Analytics 93

Analytics Government Metrics APIs 93

AWS Machine Learning

APRIL 19, 2023

Our data scientists train the model in Python using tools like PyTorch and save the model as PyTorch scripts. Ideally, we instead want to load the model PyTorch scripts, extract the features from model input, and run model inference entirely in Java. They use the DJL PyTorch engine to initialize the model predictor.

Engineering 82

Engineering APIs Scripts Education 82

CSM Magazine

APRIL 17, 2024

Understand Inputs and Outputs People analytics and customer service systems provide countless metrics that can help you assess the balance of efforts vs. outcomes. Even top performers can have a soft week or month, but without looking at workforce analytics data , you can’t understand what’s happening or how to help until it’s too late.

Customer Service 59

Customer Service Scripts Banking Analytics 59

AWS Machine Learning

JULY 5, 2022

Data Wrangler is a capability of Amazon SageMaker that makes it faster for data scientists and engineers to prepare data for machine learning (ML) applications via a visual interface. LCC scripts are triggered by Studio lifecycle events, such as starting a new Studio notebook. Apply the script (see below). Solution overview.

Scripts 87

Scripts Engineering APIs Consulting 87

AWS Machine Learning

JULY 29, 2022

This is the second part of a series that showcases the machine learning (ML) lifecycle with a data mesh design pattern for a large enterprise with multiple lines of business (LOBs) and a Center of Excellence (CoE) for analytics and ML. In this post, we address the analytics and ML platform team as a consumer in the data mesh.

Scripts 80

Scripts Analytics Accountability Engineering 80

AWS Machine Learning

MARCH 4, 2024

Media organizations can generate image captions or video scripts automatically. Imagine sophisticated conversational assistants providing fast and highly-contextual responses, picture personalized recommendation engines that seamlessly blend in relevant images, diagrams and associated knowledge to intuitively guide decisions.

Benchmark 140

Benchmark Finance Engineering Enterprise 140

AWS Machine Learning

JUNE 27, 2023

That is where Provectus , an AWS Premier Consulting Partner with competencies in Machine Learning, Data & Analytics, and DevOps, stepped in. Earth.com didn’t have an in-house ML engineering team, which made it hard to add new datasets featuring new species, release and improve new models, and scale their disjointed ML system.

Engineering 112

Engineering APIs Scripts Entertainment 112

AWS Machine Learning

APRIL 11, 2023

Next the script will install packages iproute and jq , which will be used in the following step. Next the script will install packages iproute and jq , which will be used in the following step. Note that while developing, it might be helpful to automatically rerun the script when app.py sh setup.sh sh setup.sh

Scripts 82

Scripts Automotive Engineering Healthcare 82

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. Next, focus on building the components of the architecture—such as training and preprocessing scripts—within SageMaker Studio or Jupyter Notebook.

Management 128

Management APIs Engineering Government 128

AWS Machine Learning

MAY 29, 2024

bin/bash # Set the prompt and model versions directly in the command deepspeed /root/LLaVA/llava/train/train_mem.py --deepspeed /root/LLaVA/scripts/zero2.json It sets up a SageMaker training job to run the custom training script from LLaVA. He has over a decade experience in the FinTech industry as software engineer.

Scripts 121

Scripts Healthcare Metrics Finance 121

AWS Machine Learning

JUNE 11, 2024

You also need the ML job scripts ready with a command to invoke them. In the following steps, we use a single file, train.py, as the ML job script. Extend the Neuron DLC Extend the Neuron DLC to include your ML job scripts and other necessary logic. He focuses on generative AI, AI/ML, and data analytics.

Scripts 115

Scripts Engineering Enterprise Management 115

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. resource("s3").Bucket Bucket (bucket).Object Object (upload path).upload

Scripts 113

Scripts APIs Government Analytics 113

AWS Machine Learning

NOVEMBER 14, 2022

You need to complete three steps to deploy your model: Create a SageMaker model: This will contain, among other parameters, the information about the model file location, the container that will be used for the deployment, and the location of the inference script. (If The inference script URI is needed in the INFERENCE_SCRIPT_S3_LOCATION.

Scripts 88

Scripts APIs Best practices Engineering 88

AWS Machine Learning

SEPTEMBER 18, 2024

Reusable scaling scripts for rapid experimentation – HyperPod offers a set of scalable and reusable scripts that simplify the process of launching multiple training runs. cat env_vars Set up lifecycle scripts SageMaker HyperPod uses a collection of lifecycle scripts to bootstrap the cluster. It gets mounted at /fsx.

Scripts 105

Scripts Metrics Management Accountability 105

AWS Machine Learning

NOVEMBER 21, 2023

REGION.amazonaws.com/sagemaker-matlab-training-r2023a:latest Open MATLAB and open the live script called PumpFaultClassificationMATLABSageMaker.mlx in folder examples/PumpFaultClassification. The training function should be provided at the bottom of the MATLAB live script. amazonaws.com docker push ACCOUNT.dkr.ecr.

Engineering 105

Engineering APIs Scripts Automotive 105