AWS Machine Learning

AUGUST 29, 2022

You can now use cross-account support for Amazon SageMaker Pipelines to share pipeline entities across AWS accounts and access shared pipelines directly through Amazon SageMaker API calls. Customers are increasingly adopting multi-account architectures for deploying and managing machine learning (ML) workflows with SageMaker Pipelines.

Accountability 83

Accountability APIs Management Engineering 83

AWS Machine Learning

SEPTEMBER 9, 2022

Affinities are computed either implicitly from the user’s behavioral data or explicitly from topics of interest (such as pop music, baseball, or politics) as provided in their user profiles. This is Part 2 of a series on using data analytics and ML for Amp and creating a personalized show recommendation list platform.

Personalization 72

Personalization APIs Engineering Metrics 72

AWS Machine Learning

JULY 19, 2023

The post Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data describes how to fine-tune an LLM using your own dataset. When that job is done, you can invoke an API that summarizes the text or answers questions about it. text.strip().replace('n',

Construction 62

Construction APIs Big data Engineering 62

Natalie Petouhof

JULY 14, 2015

Tweet Managing your API’s has become a very complicated endeavor. If your role to is manage API’s it’s important to figure out how to automate that process. Reducing the effort required to manage API’s can be keep to using resources in other ways that are not as easily automated.

APIs 45

APIs Management Analytics Accountability 45

AWS Machine Learning

JUNE 30, 2022

You can access Amazon SageMaker Studio notebooks from the Amazon SageMaker console via AWS Identity and Access Management (IAM) authenticated federation from your identity provider (IdP), such as Okta. This presents an undesired threat vector for exfiltration and gaining access to customer data when proper access controls are not enforced.

APIs 79

APIs Enterprise Big data Accountability 79

AWS Machine Learning

APRIL 24, 2023

Amazon Comprehend is a fully managed and continuously trained natural language processing (NLP) service that can extract insight about the content of a document or text. accuracy by training on 800 data points and testing on 300 data points. API Gateway bypasses the request to Lambda.

APIs 62

APIs Customer Experience Feedback Chatbots 62

AWS Machine Learning

DECEMBER 21, 2022

Today, companies are establishing feature stores to provide a central repository to scale ML development across business units and data science teams. SageMaker Feature Store consists of an online and an offline mode for managing features. Table formats provide a way to abstract data files as a table.

Scripts 73

Scripts Engineering APIs Big data 73

AWS Machine Learning

OCTOBER 27, 2022

They faced two challenges: how to reduce food waste, and how to manage forecast models for over 10,000 SKUs and thousands of stores efficiently and at scale. Advanced inventory forecasting using machine learning (ML) allows retail stores to maximize sales and minimize waste through more effective inventory management and turnover.

APIs 97

APIs Best practices Metrics Government 97

AWS Machine Learning

NOVEMBER 3, 2022

We also look into how to further use the extracted structured information from claims data to get insights using AWS Analytics and visualization services. We highlight on how extracted structured data from IDP can help against fraudulent claims using AWS Analytics services. Part 2: Data enrichment and insights. Prerequisites.

Analytics 75

Analytics APIs Healthcare Big data 75

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. The following figure shows both versions of these patterns.

Scripts 95

Scripts APIs Government Analytics 95

AWS Machine Learning

FEBRUARY 13, 2024

Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).

Accountability 104

Accountability Government Engineering Scripts 104

Quadient

JULY 21, 2022

Customer Experience Management Maturity. Dit vereist dat klantencommunicatie en digitale interacties uit een gecentraliseerde strategie voor customer experience management (CXM) komen, op basis van een compleet inzicht in wat klanten denken, voelen en zich gedragen. j.shah-thiel. Thu, 07/21/2022 - 14:48. Introductie.

Customer Experience 40

Customer Experience Management Journey mapping APIs 40

AWS Machine Learning

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

Best practices 122

Best practices Government Engineering Accountability 122

AWS Machine Learning

NOVEMBER 29, 2023

Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. Amazon SageMaker notebook jobs allow data scientists to run their notebooks on demand or on a schedule with a few clicks in SageMaker Studio.

APIs 82

APIs Management Engineering Big data 82

AWS Machine Learning

JULY 19, 2022

But the reality is that you need to build your own data science teams that have the specific expertise and experience to build a production machine learning (ML) application for your specific use case. The solution workflow is as follows: Store satellite imagery data in Amazon S3 as the input source. Solution overview.

APIs 70

APIs Metrics Enterprise Government 70

AWS Machine Learning

AUGUST 3, 2023

Amazon Rekognition is a fully managed service that can perform CV tasks like object detection, video segment detection, content moderation, and more to extract insights from data without the need of any prior ML experience. Training ML algorithms for pose estimation requires a lot of expertise and custom training data.

APIs 63

APIs Scripts Engineering Technical Support 63

Hodusoft

AUGUST 30, 2022

Instead of relying on local hard drives and private data centers, cloud computing uses remote servers to store and access data. They can access various advanced company tools and data to assist customers without having to switch back and forth between applications. Who all can use cloud computing?

APIs 52

APIs Interactive Voice Response Contact Center voip 52

AWS Machine Learning

AUGUST 2, 2023

Amazon Kendra supports a variety of document formats , such as Microsoft Word, PDF, and text from various data sources. GenAI models are typically trained on vast amounts of data, which make them suitable for various tasks without additional training. Marketing – Another use case of image search is digital asset management.

Enterprise 71

Enterprise Healthcare APIs Big data 71

Quadient

JULY 21, 2022

La maturità del Customer Experience Management. Questo esige che le comunicazioni con i clienti e le interazioni digitali nascano da una strategia centralizzata di Customer Experience Management (CXM), che sia a sua volta basata su una comprensione a 360 gradi del modo in cui i clienti pensano, si sentono e si comportano. j.shah-thiel.

Customer Experience 40

Customer Experience Management APIs Big data 40

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

AWS Machine Learning

JULY 24, 2023

Patsnap provides a global one-stop platform for patent search, analysis, and management. They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. implement the model and the inference API. Specifically, Dockerfile and build.sh gpt2 and predictor.py client('sts').get_caller_identity()['Account']

APIs 66

APIs Engineering Construction Benchmark 66

DMG Consulting

MAY 26, 2020

The greatest areas of investment in service organizations and contact centers are in AI, robotic process automation (RPA), big data and digital-oriented applications, all of which are delivered via the cloud. Adoption of cloud-based recording is starting to pick up momentum, as is analytics-enabled quality management (QM). .

Analytics 96

Analytics Contact Center APIs Consulting 96

AWS Machine Learning

AUGUST 15, 2022

In part 1, we described the data capture and document classification stages, where we categorized and tagged documents such as bank statements, invoices, and receipt documents. Before you get started, refer to part 1 for a high-level overview of IDP and details about the data capture, classification, and extraction stages.

Banking 74

Banking APIs Accountability Analytics 74

Spearline

JANUARY 23, 2018

An API (Application Programming Interface) will enhance your utilisation of our platform. Our RESTful API provides your developers with the ability to create campaigns, add numbers, time groups, export data for every test run, every day, every hour, every minute if that’s what you need to put your arms around your business.

Call flow 40

Call flow Benchmark APIs Big data 40

AWS Machine Learning

MARCH 22, 2023

In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. For more information about prerequisites, see Get Started with Data Wrangler.

APIs 79

APIs Engineering Analytics Scripts 79

AWS Machine Learning

APRIL 11, 2023

These customers need to balance governance, security, and compliance against the need for machine learning (ML) teams to quickly access their data science environments in a secure manner. The workflow steps are as follows: The user authenticates with the Amazon Cognito user pool and receives a token to consume the Studio access API.

APIs 70

APIs Accountability Scripts Enterprise 70

AWS Machine Learning

MAY 3, 2023

For any machine learning (ML) problem, the data scientist begins by working with data. This includes gathering, exploring, and understanding the business and technical aspects of the data, along with evaluation of any manipulations that may be needed for the model building process.

Engineering 70

Engineering Metrics APIs Big data 70

DMG Consulting

DECEMBER 10, 2018

The “platform as a service” paradigm, which essentially leverages application programming interfaces (APIs) to build out functional capabilities, makes it easier to build your own solution (BYOS). For example, a customer does not want to wait while an agent/advisor types up their notes or copies and pastes data in multiple systems.

Contact Center 75

Contact Center contact center solutions CRM Enterprise 75

AWS Machine Learning

OCTOBER 4, 2022

After the pipeline has been fully tested locally, you can easily rerun it with Amazon SageMaker managed resources with just a few lines of code changes. One of the main drivers for new innovations and applications in ML is the availability and amount of data along with cheaper compute options. Overview of the ML lifecycle.

Scripts 72

Scripts Engineering Management APIs 72

Xaqt

FEBRUARY 6, 2020

Back in the winter of 2005, Jason Kolb (my cofounder and CTO of Latigent) and I penned an article for Business Management magazine titled BI with an IQ. Back then, Artificial Intelligence, APIs, Robotic Process Automation (RPA), and even "Big Data" weren't things yet. Who bought and deployed these cool systems?

Contact Center 52

Contact Center Enterprise Call Center APIs 52

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 89

Management APIs Best practices Calibration 89

AWS Machine Learning

JANUARY 4, 2024

One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. Instead of dealing with complex technical code, business users and data analysts can ask questions related to data and insights in plain language.

Best practices 118

Best practices Enterprise Engineering APIs 118

AWS Machine Learning

SEPTEMBER 6, 2023

With Amazon Kendra, you can easily aggregate content from a variety of content repositories into an index that lets you quickly search all your enterprise data and find the most accurate answer. Adobe Experience Manager (AEM) is a content management system that’s used for creating website or mobile app content. and above).

Management 95

Management Enterprise Analytics Finance 95

Natalie Petouhof

MAY 27, 2016

How to Measure Customer Experience: Performance Management Maturity-Upcoming. Here’s a list of Dr. Natalie’s completed and published research and soon to be published content! The As-a-Service Economy: CX and IOT Mean You Have to Deliver Great Experiences- Upcoming. Mobile Customer Service-Upcoming. **.

CRM 40

CRM Automotive Analytics Big data 40

CSM Magazine

JULY 28, 2015

When technology was deployed, it was predominately committed to optimizing the BPO infrastructure and managing “bums in seats” BPO suppliers focused on solutions that could mitigate operational costs and driving process efficiency. In 2015, BPO needs to move beyond managing call center bodies.

Call Center 45

Call Center Customer Service Call flow Abandon rate 45

AWS Machine Learning

MAY 8, 2023

With Amazon SageMaker , you can manage the whole end-to-end machine learning (ML) lifecycle. It offers many native capabilities to help manage ML workflows aspects, such as experiment tracking, and model governance via the model registry. Now let’s dive deeper into the details.

APIs 70

APIs Government Accountability Scripts 70

AWS Machine Learning

DECEMBER 1, 2022

In this post, we look at how to use Amazon SageMaker Role Manager to quickly build out a set of persona-based roles that can be further customized to your specific requirements in minutes, right on the Amazon SageMaker console. They’re permitted to manage models, endpoints, and pipelines, and audit resources. ML activities.

Management 73

Management Government Enterprise APIs 73