AWS Machine Learning

AUGUST 15, 2024

Organizations often struggle to extract meaningful insights and value from their ever-growing volume of data. You need data engineering expertise and time to develop the proper scripts and pipelines to wrangle, clean, and transform data. He has a background in AI/ML & big data.

Enterprise 112

Enterprise Metrics Analytics Big data 112

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 78

Scripts Engineering APIs Big data 78

AWS Machine Learning

MARCH 15, 2024

To create these packages, run the following script found in the root directory: /build_mlops_pkg.sh He entered the big data space in 2013 and continues to explore that area. Her specialization is machine learning, and she is actively working on designing solutions using various AWS ML, big data, and analytics offerings.

Healthcare 114

Healthcare Big data Engineering Accountability 114

TechSee

DECEMBER 5, 2017

We have also seen an uplift in almost all of our success metrics along the customer journey.”. Founded in 2015 and based in the US and Moldova, Retently helps businesses understand and interact with their customers using Net Promoter Score® (NPS®), a customer satisfaction metric and an alternative to traditional loyalty surveys.

Contact Center 116

Contact Center Technology Self service Call Center 116

AWS Machine Learning

JULY 21, 2022

As a result, this experimentation phase can produce multiple models, each created from their own inputs (datasets, training scripts, and hyperparameters) and producing their own outputs (model artifacts and evaluation metrics). We also illustrate how you can track your pipeline workflow and generate metrics and comparison charts.

Metrics 83

Metrics Scripts Enterprise Telecommunications 83

AWS Machine Learning

FEBRUARY 13, 2024

Before moving to full-scale production, BigBasket tried a pilot on SageMaker to evaluate performance, cost, and convenience metrics. Use SageMaker Distributed Data Parallelism (SMDDP) for accelerated distributed training. Log model training metrics. Use a custom PyTorch Docker container including other open source libraries.

Engineering 113

Engineering Gamification Big data Scripts 113

AWS Machine Learning

DECEMBER 18, 2023

The triggers need to be scheduled to write the data to S3 at a period frequency based on the business need for training the models. When the model is ready, select the model and click on the latest version Review the model metrics and column impact and if you are satisfied with the model performance, click Predict.

Finance 116

Finance APIs Big data Scripts 116

AWS Machine Learning

AUGUST 29, 2023

If the model quality metric (for example, RMSE for regression and F1 score for classification) doesn’t meet a pre-specified criterion, the model quality check step is marked as failed. Data I/O design SageMaker interacts directly with Amazon S3 for reading inputs and storing outputs of individual steps in the training and inference pipelines.

Scripts 78

Scripts APIs Enterprise Accountability 78

AWS Machine Learning

JULY 25, 2022

We found that we didn’t need to separate data preparation, model training, and prediction, and it was convenient to package the whole pipeline as a single script and use SageMaker processing. This was simple and cost-effective for us, because the GPU instance is only used and paid for during the 15 minutes needed for the script to run.

Scripts 76

Scripts Engineering Analytics APIs 76

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. Data Engineer for Amp on Amazon.

Analytics 74

Analytics Engineering Metrics APIs 74

AWS Machine Learning

SEPTEMBER 30, 2022

Security is a big-data problem. As soon as a download attempt is made, it triggers the malicious executable script to connect to the attacker’s Command and Control server. With the built-in algorithm for XGBoost , you can do this without any additional custom script.

Scripts 86

Scripts Engineering Metrics Big data 86

Comm100

SEPTEMBER 22, 2016

How to Revolutionize Customer Employee Engagement with Big Data and Gamification by Rajat Paharia. focuses on how to use big data and gamification to engage your customers more than ever before. Price and Jaffe promote the practice of using the right metrics to identify company points of weaknesses. Loyalty 3.0:

Customer Service 88

Customer Service Gamification Consulting Consulting 88

AWS Machine Learning

MAY 1, 2023

Add a custom transformation to detect and remove image outliers With image preparation in Data Wrangler, we can also invoke another endpoint for another model. You can find some sample scripts with boilerplate code in the Search example snippets section. Lu Huang is a Senior Product Manager on Data Wrangler. alias("emb")).toPandas()

Big data 102

Big data Scripts Engineering Enterprise 102

Balto

JANUARY 14, 2025

But modern analytics goes beyond basic metricsit leverages technologies like call center data science, machine learning models, and big data to provide deeper insights. Predictive Analytics: Uses historical data to forecast future events like call volumes or customer churn.

Call Center 52

Call Center Analytics Average Handle Time Big data 52

AWS Machine Learning

AUGUST 22, 2023

The notebook instance client starts a SageMaker training job that runs a custom script to trigger the instantiation of the Flower client, which deserializes and reads the server configuration, triggers the training job, and sends the parameters response. script and a utils.py The client.py We use utility functions in the utils.py

Scripts 76

Scripts Accountability Transportation Benchmark 76

AWS Machine Learning

SEPTEMBER 9, 2022

Each project maintained detailed documentation that outlined how each script was used to build the final model. In many cases, this was an elaborate process involving 5 to 10 scripts with several outputs each. For logging, we utilize FluentD to push all our container logs to Amazon OpenSearch Service and system metrics to Prometheus.

Engineering 81

Engineering Healthcare APIs Scripts 81

AWS Machine Learning

MAY 8, 2023

The MLflow Python SDK provides a convenient way to log metrics, runs, and artifacts, and it interfaces with the API resources hosted under the namespace /api/. You can use this script add_users_and_groups.py import boto3 # Session using the SageMaker Execution Role in the Data Science Account session = boto3.Session()

APIs 76

APIs Government Accountability Scripts 76

Balto

AUGUST 8, 2024

Then, with the shift towards creating digital experiences in the 2000s, contact centers started implementing simple chatbots that use predefined scripts to help guide the customer and resolve their issues. Nowadays, most customers prefer buying from businesses that cater to their unique needs and priorities.

Call Center 52

Call Center Interactive Voice Response Coaching Chatbots 52

AWS Machine Learning

APRIL 21, 2023

The code sets up the S3 paths for pipeline inputs, outputs, and model artifacts, and uploads scripts used within the pipeline steps. This step uses the built-in ProcessingStep with the provided code, evaluation.py , to evaluate performance metrics (accuracy, area under curve). Repeat the same for the second custom policy.

Metrics 83

Metrics Telecommunications Analytics Healthcare 83

Tenfold - Contact Center Blog

NOVEMBER 30, 2017

With in-depth training sessions through e-learning, virtual assistance, and scripting tools, clearly establish company goals and expectations and provide your agents the confidence to tackle any initiative. Call centers have to constantly work to improve their key performance metrics. Bring top-performing agents to training.

Call Center 56

Call Center Customer Support Customer centricity Contact Center 56

Natalie Petouhof

APRIL 4, 2016

mPulse real user monitoring (RUM) collects and analyzes 100% of the front-end performance data from every web and mobile user and correlates this data with critical business metrics – all in real time. The new SOASTA mPulse enhancements make Big Data insights easy to visualize, access and share.

Management 40

Management Analytics Consulting Consulting 40

Dialer 360

MAY 14, 2019

Likewise, call centers must strive with this critical metric. Use Big Data Analytics to Your Advantage. The best power of data is across all information sources. Sometimes data itself will make recommendations for call routing. Besides, the customer reps and matches, scripts selling. Stitch It All Together.

Customer centricity 24

Customer centricity Call Center First call resolution Big data 24

Vistio

OCTOBER 5, 2021

And you can look at various specific areas such as data analytics, big data, being able to study patterns within data, using artificial intelligence or using machine learning to actually gather up every customer interaction, and remember the original problem and the solution.

Contact Center 52

Contact Center Chatbots Banking Technology 52

Fonolo

NOVEMBER 17, 2020

As the focus of contact center turns to creating value rather than reducing expenses, KPIs like customer satisfaction and service level will become increasingly favored over metrics like Average Handling Time. FCR is the Most Important Metric. 2016: 50% of Global 1000 companies will have stored customer-sensitive data in the cloud.

Contact Center 176

Contact Center Gamification Call Center Average Handle Time 176

AWS Machine Learning

SEPTEMBER 26, 2024

Amazon SageMaker Studio provides a single web-based visual interface where different personas like data scientists, machine learning (ML) engineers, and developers can build, train, debug, deploy, and monitor their ML models. This will open a new Python notebook, which we use to run the PySpark script. preprocess.py

Scripts 101

Scripts Accountability Engineering Big data 101

AWS Machine Learning

JANUARY 26, 2024

Define strict data ingress and egress rules to help protect against manipulation and exfiltration using VPCs with AWS Network Firewall policies. He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes.

Best practices 133

Best practices Government Engineering Accountability 133