AWS Machine Learning

APRIL 24, 2023

We invoke a Lambda function to validate that the training data path exists, and then trigger an Amazon Comprehend training job. If the training job is complete, we get the model metric and store it in DynamoDB for further evaluation. Before joining AWS, she was a software engineer. Shanna Chang is a Solutions Architect at AWS.

APIs 62

APIs Customer Experience Feedback Chatbots 62

AWS Machine Learning

FEBRUARY 1, 2024

There are unique considerations when engineering generative AI workloads through a resilience lens. Make sure to validate prompt input data and prompt input size for allocated character limits that are defined by your model. If you’re performing prompt engineering, you should persist your prompts to a reliable data store.

Best practices 111

Best practices Engineering SaaS APIs 111

AWS Machine Learning

FEBRUARY 21, 2023

A/B testing is used in scenarios where closed loop feedback can directly tie model outputs to downstream business metrics. This feedback is then used to determine the statistical significance of changing from one model to another, helping you select the best model through live production testing.

Best practices 70

Best practices Accountability Metrics Engineering 70

Callminer

NOVEMBER 6, 2019

Big data is getting bigger with each passing year, but making sense of trends hidden deep in the heap of 1s and 0s is more confounding than ever. As metrics pile up, you may find yourself wondering which data points matter and in what ways they relate to your business’s interests.

Big data 140

Big data Analytics Metrics Sales 140

AWS Machine Learning

NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. JuMa is now available to all data scientists, ML engineers, and data analysts at BMW Group.

Engineering 72

Engineering Analytics Government Self service 72

AWS Machine Learning

NOVEMBER 14, 2023

In the era of big data and AI, companies are continually seeking ways to use these technologies to gain a competitive edge. At the core of these cutting-edge solutions lies a foundation model (FM), a highly advanced machine learning model that is pre-trained on vast amounts of data. tar czvf model.tar.gz -C deepspeed.

Management 89

Management APIs Best practices Calibration 89

AWS Machine Learning

FEBRUARY 29, 2024

This enables data scientists to quickly build and iterate on ML models, and empowers ML engineers to run through continuous integration and continuous delivery (CI/CD) ML pipelines faster, decreasing time to production for models. Solution overview The proposed framework code starts by reading the configuration files. The model_unit.py

Scripts 91

Scripts Engineering Metrics Best practices 91

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.

Chatbots 52

Chatbots Contact Center Banking Technology 52

Xaqt

JUNE 22, 2020

Despite significant advancements in big data and open source tools, niche Contact Center Business Intelligence providers are still wed to their own proprietary tools leaving them saddled with technical debt and an inability to innovate from within. or "Does Service Level include Calls abandoned?"). Now that can happen too.

Call Center 52

Call Center Contact Center Analytics Engineering 52

ClearAction

APRIL 18, 2015

Use group sharing engines to share documents with strategies and knowledge across departments. Create CX playbooks & best practice to guide interactions with customers. Focus employee metrics more on CX enabling behaviors, less on survey ratings. Here are ways HR can help: Knowledge Management. —@tcrawford.

Customer Experience 96

Customer Experience Employee engagement Big data Analytics 96

AWS Machine Learning

AUGUST 29, 2023

Refer to Operating model for best practices regarding a multi-account strategy for ML. 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.

Scripts 72

Scripts APIs Enterprise Accountability 72

AWS Machine Learning

SEPTEMBER 9, 2022

Consequently, maintaining and augmenting older projects required more engineering time and effort. In addition, as new data scientists joined the team, knowledge transfers and onboarding took more time, because synchronizing local environments included many undocumented dependencies. Logging and monitoring. Kubeflow Logging.

Engineering 75

Engineering Healthcare APIs Scripts 75

ChurnZero

JUNE 3, 2022

VC and PE firms now ask founders about the metrics owned by CS teams, specifically NRR and GRR , within the first ten minutes of conversation. You Mon: Yes, it’s like my manager asked me for a metric that I’ve never heard of before, but I know your system does it. Can you help me get that metric? The lightning round.

SaaS 52

SaaS B2B Upselling Metrics 52

ChurnZero

JUNE 3, 2022

VC and PE firms now ask founders about the metrics owned by CS teams, specifically NRR and GRR , within the first ten minutes of conversation. You Mon: Yes, it’s like my manager asked me for a metric that I’ve never heard of before, but I know your system does it. Can you help me get that metric? The lightning round.

SaaS 52

SaaS B2B Upselling Metrics 52

AWS Machine Learning

JUNE 15, 2022

Edge is a term that refers to a location, far from the cloud or a big data center, where you have a computer device (edge device) capable of running (edge) applications. To improve productivity, all the required parts and correct tools need to be available for the engineers at each stage of production. Edge computing.

Transportation 76

Transportation APIs Big data Wireless 76

Calabrio

APRIL 25, 2017

One of the most confounding challenges for modern contact center leaders is reporting on any performance metric that requires information from more than one system or application, each of which is a self-contained silo of data. Traditionally contact centers have been dealing with two main data challenges. Real-time data.

Multichannel 40

Multichannel Contact Center Big data Metrics 40

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/. He holds a PhD in Telecommunication Engineering and has experience in software engineering. Irshad Buchh is a Principal Solutions Architect at Amazon Web Services (AWS).

APIs 70

APIs Government Accountability Scripts 70

AWS Machine Learning

JANUARY 26, 2023

SageMaker then determines the best model candidate with the optimal hyperparameters based on the objective metric configured. Best Egg was able to automate hyperparameter tuning with the automated hyperparameter optimization (HPO) feature of SageMaker and parallelize it. He is also a skilled origamist.

Finance 73

Finance Engineering Big data Banking 73