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 113

Best practices Engineering Scripts Analytics 113

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 77

Scripts Engineering Accountability Consulting 77

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

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 Analytics Call Center 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 100

Scripts Engineering Accountability Enterprise 100

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 106

Accountability Government Engineering Scripts 106

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 73

Scripts Engineering APIs Big data 73

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 135

Benchmark Finance Engineering Enterprise 135

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 75

Engineering APIs Scripts Education 75

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 106

Scripts Accountability Enterprise Management 106

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 111

Management APIs Engineering Government 111

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 80

Scripts Engineering APIs Consulting 80

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 73

Scripts Automotive Engineering Healthcare 73

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 71

Scripts Analytics Accountability Engineering 71

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 87

Engineering APIs Scripts Automotive 87

AWS Machine Learning

FEBRUARY 13, 2024

Each worker then proceeds with the forward and backward pass defined in your training script on each GPU. In our entire partnership, AWS has set the bar on customer obsession and delivering results—working with us the whole way to realize promised benefits.” – Keshav Kumar, Head of Engineering at BigBasket.

Engineering 101

Engineering Gamification Scripts Big data 101

Infinity

MARCH 2, 2022

With real-time call monitoring, or call tracking, you can listen to customer calls with your agents as they happen, providing you with call analytics and dashboards that can highlight keywords, speech patterns and even sentiment. How call tracking and analytics can revolutionise your real-time call monitoring.

Scripts 52

Scripts Analytics Upselling Customer centricity 52

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 96

Scripts APIs Government Analytics 96

AWS Machine Learning

OCTOBER 4, 2022

Developers usually test their processing and training scripts locally, but the pipelines themselves are typically tested in the cloud. From a very high level, the ML lifecycle consists of many different parts, but the building of an ML model usually consists of the following general steps: Data cleansing and preparation (feature engineering).

Scripts 72

Scripts Engineering Management APIs 72

Upstream Works

DECEMBER 20, 2022

By suppressing audio that isn’t speech-based, speech recognition engines driven by AI – will be more accurate in capturing conversations, which will ultimately lead to better customer experiences. This is where predictive analytics come into play, and you can expect to see more of this in 2023. Workflow Automation.

Customer Experience 78

Customer Experience Virtual Agent Contact Center Scripts 78

Callminer

FEBRUARY 4, 2021

Firstly, contact centers can make use of call analytics software to analyze past call recordings and use them to train agents how to identify vulnerable customers. Older citizens, the unhealthy, and those in low-income areas have always been targets for social engineering. You can also inform them of their increased vulnerability.

Call Center 345

Call Center Contact Center Finance Consulting 345

CSM Magazine

NOVEMBER 10, 2021

To extend the value of automation further and be even more accurate with trend mapping/grouping use a modern speech analytics engine to identify common questions. The same principle applies to chatbot scripts. However, even with well-crafted scripts and innovative solutions, chatbot success cannot be guaranteed.

Chatbots 52

Chatbots Scripts Analytics Coaching 52

AWS Machine Learning

FEBRUARY 15, 2023

S3Uploader.upload( local_path=local_path, desired_s3_uri=base_uri, ) Define the data processing script and processing step Here, we provide a Python script to do data processing on the custom datasets, and curate the training, validation, and test splits to be used for model fine tuning. sm_client = boto3.client("sagemaker")

Scripts 85

Scripts APIs Engineering Enterprise 85

AWS Machine Learning

DECEMBER 29, 2022

You can quickly launch the familiar RStudio IDE and dial up and down the underlying compute resources without interrupting your work, making it easy to build machine learning (ML) and analytics solutions in R at scale. This is a new capability that makes it super easy to run analytics in the cloud with high performance at any scale.

APIs 105

APIs Engineering Analytics Scripts 105

AWS Machine Learning

AUGUST 16, 2023

This initiative led to improved model performances within the Travelers Data & Analytics space. To train the classifier, we create a SageMaker PyTorch Estimator that runs the training script, eval_linear.py. When pre-training is complete, the DINO image representations can be transferred to a variety of downstream tasks.

Scripts 71

Scripts Analytics Technology Benchmark 71

Tethr

FEBRUARY 14, 2019

Experience Engineering : Low-effort companies know that customer effort is only partially a function of what the customer has to do to get an issue resolved—it’s much more a function of how the customer feels about what they have to do. low-effort companies know that you can’t script your way to victory in this new world.

Customer Experience 85

Customer Experience Scripts Engineering Customer effort 85

Noble Systems

MAY 11, 2021

Conversation Analytics is just one piece of the puzzle. As a part of the conversation analytics mix, automated speech recognition (ASR) can help companies better understand their customers and improve the brand experience. Enhance analytics, identify process gaps and identify trends. Apple launched Siri two years later.

Analytics 52

Analytics Interactive Voice Response Coaching Self service 52

CallSource Insights

MARCH 6, 2019

Search Engine Optimization – better known as SEO – is top of most marketers’ minds nowadays. Dynamic number insertion is a form of call tracking that uses a script that leaves your main business phone number in the background for Google to crawl; DNI displays a unique call tracking number to each user landing on the page.

Engineering 75

Engineering Scripts Best practices Advertising 75

Upstream Works

SEPTEMBER 28, 2022

Agents cannot do this on their own – the volumes of data are far too great and they do not have the analytics training needed to identify the right data points for each interaction, let alone do so in real time. That’s where artificial intelligence (AI) comes into play. These are exactly the challenges that AI is built for.

Contact Center 78

Contact Center Journey mapping Scripts Technology 78

AWS Machine Learning

SEPTEMBER 1, 2023

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

Engineering 104

Engineering Accountability Construction APIs 104

AWS Machine Learning

APRIL 7, 2023

As an example, smart venue solutions can use near-real-time computer vision for crowd analytics over 5G networks, all while minimizing investment in on-premises hardware networking equipment. script to retrieve the JumpStart model artifacts and deploy the pre-trained model to your local machine: python train_model.py sourcedir.tar.gz

Telecommunications 80

Telecommunications Scripts Enterprise Engineering 80

Call Journey

JUNE 23, 2019

It’s a busy month of June for Call Journey, the leading pioneer in Conversation Analytics, as it takes part in another headliner contact center event of the year. Automate Script Adherence and Sales Best Practices. We are pleased and honored to once again be a sponsor of CCW. “We Call Journey at #CCWVegas.

Engineering 40

Engineering Analytics Upselling Scripts 40

Call Journey

JUNE 23, 2019

It’s a busy month of June for Call Journey, the leading pioneer in Conversation Analytics, as it takes part in another headliner contact center event of the year. Automate Script Adherence and Sales Best Practices. We are pleased and honored to once again be a sponsor of CCW. “We Call Journey at #CCWVegas.

Engineering 40

Engineering Analytics Upselling Scripts 40

Xaqt

JANUARY 6, 2020

That's a big bonus for Amazon Connect Call Center customers, but it usually takes a software developer or data engineer to access the data in S3 and make it useful. AWS S3 is great for raw data storage, but not so good for performing analytics or operational reports. For most reporting needs, we recommend using Amazon Redshift.

Scripts 52

Scripts Call Center Contact Center Engineering 52

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 123

Best practices Government Engineering Accountability 123

JivoChat

JUNE 13, 2022

Templates, R scripts, Tooltips. DAX engines. The Power BI Masterclass will prepare you to start your career in data analytics. Data Analytics Essentials with Power BI. The Data Analytics Essentials with Power BI course will enable you to master the rules for data preparation. Data prep and visualization.

Analytics 75

Analytics Scripts Engineering Best practices 75

Call Journey

OCTOBER 20, 2018

Businesses are now improving their business performance by utilizing conversation analytics as a way to tap into insights from everyday customer telephone interactions. The main one is the automation of important, but costly and ineffective processes, such as Quality Assurance, agent monitoring or script adherence. Trending keywords.

Scripts 45

Scripts Customer emotions Engineering industry standards 45