Hello Customer

JUNE 21, 2023

It all starts with data: Data mesh principle AI is more than just machine learning and algorithms. AI represents a complete flow that starts with the data, which gets put in the algorithm and eventually presented to the end-user. That’s where the concept of data mesh comes into play.

Customer Experience 52

Customer Experience Engineering Feedback Finance 52

Xaqt

FEBRUARY 6, 2020

Back then, Artificial Intelligence, APIs, Robotic Process Automation (RPA), and even "Big Data" weren't things yet. So once they’ve identified an issue, they are presented with options consistent with your business rules and objectives [a recommendation engine built with machine learning on massive amounts of data].

Contact Center 52

Contact Center Enterprise Call Center APIs 52

AWS Machine Learning

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise.

Big data 96

Big data Engineering Accountability Real estate 96

Quadient

JULY 21, 2022

Le aziende leader sotto il profilo del digitale raccolgono dati e ricavano spunti preziosi attraverso l'ausilio di modelli dati standardizzati, dell'intelligenza artificiale (IA) e dell'analisi dei big data. Ciò consente loro di innovare più rapidamente rispetto ai loro competitor non digitali.

Customer Experience 40

Customer Experience Management APIs Big data 40

AWS Machine Learning

OCTOBER 4, 2022

One of the main drivers for new innovations and applications in ML is the availability and amount of data along with cheaper compute options. Training job steps – An iterative process that teaches a model to make predictions by presenting examples from a training dataset.

Scripts 76

Scripts Engineering Management APIs 76

Enghouse Interactive

JULY 10, 2018

For Partner Colorado, Enghouse’s use of open APIs allows integration with the in-house CRM. Instead of having to toggle back and forth between different screens and applications, agents proactively receive relevant and useful data on callers via ScreenPop. In the contact center it all comes down to interactions.

Self service 40

Self service CRM Contact Center Analytics 40

Callminer

JULY 15, 2019

This year CallMiner is presenting our first annual WebinarStock, July 23rd through 25th. Creating Customer Service Super Agents with Data, Tech and Coaching featuring Forrester. This is a great opportunity to listen, watch, and learn the latest CX analytics information out there! Register for 10am BST Session.

Contact Center 28

Contact Center Telecommunications Analytics Employee engagement 28

AWS Machine Learning

DECEMBER 18, 2023

The absence of real-time forecasts in various industries presents pressing business challenges that can significantly impact decision-making and operational efficiency. If you need an automated workflow or direct ML model integration into apps, Canvas forecasting functions are accessible through APIs.

Finance 111

Finance APIs Analytics Scripts 111

AWS Machine Learning

NOVEMBER 17, 2023

The Retrieval-Augmented Generation (RAG) framework augments prompts with external data from multiple sources, such as document repositories, databases, or APIs, to make foundation models effective for domain-specific tasks. As a Data Engineer he was involved in applying AI/ML to fraud detection and office automation.

APIs 102

APIs Enterprise Big data Chatbots 102

AWS Machine Learning

FEBRUARY 1, 2024

Because the interface between agents and tools is less formally defined than an API contract, you should monitor these traces not only for performance but also to capture new error scenarios. He entered the big data space in 2013 and continues to explore that area.

Best practices 120

Best practices Engineering SaaS APIs 120

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.

Management 96

Management APIs Best practices Calibration 96

AWS Machine Learning

JANUARY 4, 2024

NLP SQL enables business users to analyze data and get answers by typing or speaking questions in natural language, such as the following: “Show total sales for each product last month” “Which products generated more revenue?” In entered the Big Data space in 2013 and continues to explore that area. Nitin Eusebius is a Sr.

Best practices 127

Best practices Enterprise Engineering APIs 127

AWS Machine Learning

NOVEMBER 7, 2022

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. If you want to jump straight into the JumpStart API code we go through in this post, you can refer to the following sample Jupyter notebook: Introduction to JumpStart – Text to Image.

APIs 87

APIs Scripts Enterprise Big data 87

AWS Machine Learning

AUGUST 26, 2022

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. The following sections provide a step-by-step demo to perform semantic segmentation with JumpStart, both via the Studio UI and via JumpStart APIs. Solution overview.

APIs 82

APIs Scripts Enterprise Big data 82

AWS Machine Learning

NOVEMBER 7, 2022

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. The following sections provide a step-by-step demo to perform inference, both via the Studio UI and via JumpStart APIs. JumpStart overview. Solution overview.

APIs 81

APIs Scripts Enterprise Big data 81

AWS Machine Learning

SEPTEMBER 11, 2024

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. SIMD describes computers with multiple processing elements that perform the same operation on multiple data points simultaneously.

Benchmark 77

Benchmark Banking Analytics Big data 77

AWS Machine Learning

AUGUST 29, 2023

The presented MLOps workflow provides a reusable template for managing the ML lifecycle through automation, monitoring, auditability, and scalability, thereby reducing the complexities and costs of maintaining batch inference workloads in production. Manually approving or rejecting newly trained model versions in the model registry.

Scripts 77

Scripts APIs Enterprise Accountability 77

AWS Machine Learning

SEPTEMBER 6, 2023

Open a terminal and go to the folder location where privateKey.crt is present and run the following command: keytool -import -trustcacerts -keystore /lib/security/cacerts -storepass changeit -noprompt -alias yourAliasName -file privateKey.crt Be sure to open 8443 and 80 port in your firewall settings. Now we’re ready to search our index.

Management 104

Management Enterprise Analytics Finance 104

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. How do I eliminate the need of installing a big framework like TensorFlow or PyTorch on my restricted device? Edge computing. About the Authors.

Transportation 80

Transportation APIs Big data Wireless 80

AWS Machine Learning

JUNE 3, 2024

We begin by understanding the feature columns, presented in the following table. To learn more about importing data to SageMaker Canvas, see Import data into Canvas. Choose Import data , then choose Tabular. After a successful import, you will be presented with a preview of the data, which you can browse.

Surveys 97

Surveys Metrics Analytics Engineering 97

AWS Machine Learning

JULY 25, 2022

Instead of coercing these graph datasets into tables or sequences, you can use graph ML algorithms to both represent and learn from the data as presented in its graph form, including information about constituent nodes, edges, and other features. For production, we wanted to invoke the model as a simple API call.

Scripts 74

Scripts Engineering Analytics APIs 74

AWS Machine Learning

JULY 29, 2022

The solution also uses SAML attribute mapping to populate the SAML assertion with specific access-relevant data, such as user ID and user team. Because the solution creates a SAML API, you can use any IdP supporting SAML assertions to create this architecture. The API Gateway calls an SAML backend API. Custom SAML 2.0

Management 77

Management APIs Accountability Construction 77

AWS Machine Learning

DECEMBER 1, 2022

Organizations can dive deep to identify which models have missing or inactive monitors and add them using SageMaker APIs to ensure all models are being checked for data drift, model drift, bias drift, and feature attribution drift. The following screenshot shows an example of the Model dashboard.

Government 83

Government Metrics APIs Engineering 83

AWS Machine Learning

JULY 21, 2022

Compare and evaluate experiments – The integration of Experiments with Amazon SageMaker Studio makes it easy to produce data visualizations and compare different trials. You can also access the trial data via the Python SDK to generate your own visualization using your preferred plotting libraries.

Metrics 82

Metrics Scripts Enterprise Telecommunications 82

AWS Machine Learning

MARCH 7, 2023

This post presents and compares options and recommended practices on how to manage Python packages and virtual environments in Amazon SageMaker Studio notebooks. A public GitHub repo provides hands-on examples for each of the presented approaches. The image is immediately available to all user profiles of the domain.

Management 78

Management Scripts Government Engineering 78

AWS Machine Learning

SEPTEMBER 9, 2022

Prior to our adoption of Kubeflow on AWS, our data scientists used a standardized set of tools and a process that allowed flexibility in the technology and workflow used to train a given model. This means that user access can be controlled on the Kubeflow UI but not over the Kubernetes API via Kubectl.

Engineering 80

Engineering Healthcare APIs Scripts 80

SmartKarrot

NOVEMBER 23, 2021

RPA, also known as software robotics, uses automation technology to build, deploy, and manage software robots that take over back-office tasks of humans such as extracting data, filling forms, etc. Interpret big data. Industries collect mounds and mounds of data in a single day.

Calibration 10

Calibration Automotive Big data Chatbots 10

AWS Machine Learning

AUGUST 2, 2024

To overcome this limitation and provide dynamism and adaptability to knowledge base changes, we decided to follow a Retrieval Augmented Generation (RAG) approach, in which the LLMs are presented with relevant information extracted from external data sources to provide up-to-date data without the need to retrain the models.

APIs 98

APIs Analytics Chatbots Engineering 98

AWS Machine Learning

AUGUST 12, 2024

Data is presented to the personas that need access using a unified interface. The Step Functions state machine is configured with an AWS Lambda function to retrieve data from the Splunk index using the Splunk Enterprise SDK for Python. In this section, we present some example prompts to demonstrate this in action.

Engineering 98

Engineering APIs Healthcare Analytics 98

AWS Machine Learning

SEPTEMBER 21, 2022

You can further personalize this page to gather additional user data (such as the user’s DeepRacer AWS profile or their level of AI and ML knowledge) or to add event marketing and training materials. The event portal registration form calls a customer API endpoint that stores email addresses in Amazon DynamoDB through AWS AppSync.

Accountability 65

Accountability APIs Enterprise Big data 65