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. In this post, we focus on extending the document support in Amazon Kendra to make images searchable by their displayed content. This means you can manipulate and ingest your data as needed.

Enterprise 71

Enterprise Healthcare APIs Big data 71

TeamSupport

MARCH 23, 2021

You need to build strong relationships with multiple people in your account and provide them with personalized solutions. These customers are tech-savvy, data-obsessed, and have their own customers. You can create a support page with FAQs, guides, product documentation, video tutorials, and more. Know your customers.

B2B 105

B2B Customer Support Self service Big data 105

Inbenta

JUNE 2, 2021

HR teams are swiftly adopting automated workflows as they shift from manual, paper-based processes, and spreadsheets to embrace HR service automation with the assistance of the latest technological advances. Generating vast amounts of new remote hiring documents or tending to customer needs away from the office can be complicated.

Chatbots 83

Chatbots Self service Virtual Agent Morale 83

AWS Machine Learning

JANUARY 26, 2024

As your organization advances its use of emerging technologies such as generative AI and LLMs, overall organizational resiliency should be considered as a cornerstone of a layered defensive strategy to protect assets and lines of business from unintended consequences.

Best practices 124

Best practices Government Engineering Accountability 124

Callminer

SEPTEMBER 14, 2020

Business analysts must stay up to date on the latest call center technologies and solutions that can optimize, automate and modernize call center operations. They serve as a bridge between IT and other business functions, making data-driven recommendations that meet business requirements and improve processes while optimizing costs.

Call Center 182

Call Center Analytics First call resolution Metrics 182

AWS Machine Learning

DECEMBER 21, 2022

The offline store data is stored in an Amazon Simple Storage Service (Amazon S3) bucket in your AWS account. SageMaker Feature Store automatically builds an AWS Glue Data Catalog during feature group creation. Table formats provide a way to abstract data files as a table. Conclusion. About the authors.

Scripts 73

Scripts Engineering APIs Big data 73

AWS Machine Learning

JULY 19, 2022

Synchronous translation has limits on the document size it can translate; as of this writing, it’s set to 5,000 bytes. For larger document sizes, consider using an asynchronous route of creating the job using start_text_translation_job and checking the status via describe_text_translation_job. Prerequisites. Deploy the solution.

Engineering 84

Engineering APIs Education Best practices 84

Branch Mesenger

MAY 2, 2018

Last year, during the Miami conference, they outlined the efforts of a multi-year initiative that sought to reimagine the tired, clunky corporate technology that has eroded the tenets of customer experience. Gone went giant, word-packed binders of documents, and the faceless training, and mindless programming.

Engineering 74

Engineering Morale Employee engagement Big data 74

AWS Machine Learning

MARCH 23, 2023

Leidos is a FORTUNE 500 science and technology solutions leader working to address some of the world’s toughest challenges in the defense, intelligence, homeland security, civil, and healthcare markets. In this example, we’re passing the data through as an S3 object; alternatively, that data may be sent directly to the Sagemaker endpoint.

Scripts 96

Scripts APIs Government Analytics 96

CSM Magazine

JULY 19, 2017

Chargebacks are charges debited against a vendor’s account, after a customer disputes a charge on their credit card bill and their credit card issuer finds in their favor. Is it a free account from a provider which requires very little information for an account? Big Data to the rescue: Use your data of previous transactions.

Big data 49

Big data Accountability Banking Sales 49

AWS Machine Learning

APRIL 24, 2023

Since conversational AI has improved in recent years, many businesses have adopted cutting-edge technologies like AI-powered chatbots and AI-powered agent support to improve customer service while increasing productivity and lowering costs. About the Authors Ray Wang is a Solutions Architect at AWS.

APIs 62

APIs Customer Experience Feedback Chatbots 62

Call Experts

JANUARY 23, 2019

Fortunately, the latest technologies utilize artificial intelligence and big data to address customer concerns and process inefficiency. Proper strategies and technologies are also essential to fill the differences between online and offline. Documentation Enhances the Workplace.

Management 53

Management outsourcing Call Center Answering services 53

DMG Consulting

APRIL 16, 2019

View this document on the publisher’s website. It’s hard to overstate how much the contact center technology sector has progressed in the past 15 years. What’s new today is the use of technology to work smarter, not harder, instead of just motivating agents and supervisors to perform their jobs faster and do more with less.

Contact Center 48

Contact Center Interactive Voice Response Analytics Self service 48

AWS Machine Learning

MARCH 15, 2024

Healthcare organizations must navigate strict compliance regulations, such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States, while implementing FL solutions. FedML Octopus is the industrial-grade platform of cross-silo FL for cross-organization and cross-account training.

Healthcare 107

Healthcare Big data Engineering Accountability 107

Vistio

OCTOBER 5, 2021

He is a former technology director turned communication adviser, writing books and blogs on technology, work, and globalization. He continues to write books on the future of technology and CX, contribute to media debate, advises corporate leaders, and ghost-writes content for several leading global CEOs.

Chatbots 52

Chatbots Contact Center Banking Technology 52

AWS Machine Learning

FEBRUARY 1, 2024

This pipeline could be a batch pipeline if you prepare contextual data in advance, or a low-latency pipeline if you’re incorporating new contextual data on the fly. In the batch case, there are a couple challenges compared to typical data pipelines. He entered the big data space in 2013 and continues to explore that area.

Best practices 114

Best practices Engineering SaaS APIs 114

AWS Machine Learning

FEBRUARY 28, 2024

Prerequisites For this post, you should complete the following prerequisites: Have an AWS account. Create the AWS Glue Data Catalog using an AWS Glue crawler (or a different method). About the Authors Sanjeeb Panda is a Data and ML engineer at Amazon. Here, the output is presented to the user. Set up the SDK for Python (Boto3).

Engineering 113

Engineering Best practices Analytics Enterprise 113

AWS Machine Learning

AUGUST 31, 2023

As Artificial Intelligence (AI) and Machine Learning (ML) technologies have become mainstream, many enterprises have been successful in building critical business applications powered by ML models at scale in production. Depending on your governance requirements, Data Science & Dev accounts can be merged into a single AWS account.

Government 93

Government Accountability Enterprise Engineering 93

AWS Machine Learning

MARCH 22, 2023

An AWS account with permissions to create AWS Identity and Access Management (IAM) policies and roles. Access and permissions to configure IDP to register Data Wrangler application and set up the authorization server or API. You must configure the IdP to use ANY Role to use the default role associated with the Snowflake account.

APIs 79

APIs Engineering Analytics Scripts 79

AWS Machine Learning

AUGUST 31, 2023

As Artificial Intelligence (AI) and Machine Learning (ML) technologies have become mainstream, many enterprises have been successful in building critical business applications powered by ML models at scale in production. Depending on your governance requirements, Data Science & Dev accounts can be merged into a single AWS account.

Government 52

Government Accountability Enterprise Engineering 52

AWS Machine Learning

DECEMBER 1, 2022

In this post, we explore how companies can improve visibility into their models with centralized dashboards and detailed documentation of their models using two new features: SageMaker Model Cards and the SageMaker Model Dashboard. The Model dashboard is a centralized repository of all models that have been created in the account.

Government 78

Government Metrics APIs Engineering 78

AWS Machine Learning

MAY 8, 2023

How to use MLflow as a centralized repository in a multi-account setup. Prerequisites Before deploying the solution, make sure you have access to an AWS account with admin permissions. Serverless technologies are the perfect candidate to satisfy all these requirements with minimal operational overhead.

APIs 70

APIs Government Accountability Scripts 70

AWS Machine Learning

MAY 10, 2023

Business analysts play a pivotal role in facilitating data-driven business decisions through activities such as the visualization of business metrics and the prediction of future events. Sharing data with QuickSight users grants them owner permissions on the dataset. You can learn more on the Canvas product page and documentation.

Accountability 75

Accountability Enterprise Big data Management 75

AWS Machine Learning

NOVEMBER 17, 2022

To complete this tutorial, you must have the following prerequisites: Have an AWS account. If you don’t have an account, you can create one. Set up Lake Formation permissions using a data cell filter for automatically detected columns, and restrict the columns to the data scientist persona: lakeformation = boto3.client('lakeformation')

Engineering 63

Engineering Big data Accountability Analytics 63

AWS Machine Learning

MARCH 10, 2023

Data Wrangler enables you to access data from a wide variety of popular sources ( Amazon S3 , Amazon Athena , Amazon Redshift , Amazon EMR and Snowflake) and over 40 other third-party sources. Starting today, you can connect to Amazon EMR Hive as a big data query engine to bring in large datasets for ML.

Engineering 76

Engineering Big data Enterprise Analytics 76

AWS Machine Learning

SEPTEMBER 9, 2022

In the artificial intelligence (AI) space, athenahealth uses data science and machine learning (ML) to accelerate business processes and provide recommendations, predictions, and insights across multiple services. Each project maintained detailed documentation that outlined how each script was used to build the final model.

Engineering 75

Engineering Healthcare APIs Scripts 75

Nicereply

MAY 28, 2020

That might include a software version, account number or additional logs. The consistency problem can be avoided by defining all the categories rigorously in a shared document, mentioning each edge case, like the one above, to what category it should belong. Clean data. In general, the more training data you have, the better.

Customer Support 92

Customer Support APIs Big data Personalization 92

Stratifyd

FEBRUARY 20, 2019

With how quickly we’re growing and developing cutting-edge technology, we need talented individuals to join our team. you’ll be producing high-quality documentation that contributes to the overall success of our products. Key accountabilities & responsibilities. Organize and write supporting documents for products.

Engineering 40

Engineering Healthcare Big data B2B 40

AWS Machine Learning

APRIL 19, 2023

Prior to joining AWS, Mark was an architect, developer, and technology leader for over 25 years, including 19 years in financial services. Raj Ramasubbu is a Senior Analytics Specialist Solutions Architect focused on big data and analytics and AI/ML with Amazon Web Services.

Engineering 77

Engineering Analytics APIs Enterprise 77

Stratifyd

JANUARY 3, 2019

Key accountabilities & responsibilities. Design, implement, and document new platform features and associated unit tests. Identify and learn new approaches and technology as needed. Strong knowledge of data structures, algorithms, internet security fundamentals and designing for performance, scalability and availability.

Engineering 40

Engineering APIs Analytics Healthcare 40

TechSee

DECEMBER 5, 2017

Recognizing that continuously adding quality agents simply does not add up financially, more and more companies are turning to technology in order to scale quality support. Founded in 2015, TechSee is a technology and technical support company that specializes in visual technology and augmented reality. ” 2. Coveo.

Contact Center 116

Contact Center Technology Self service Call Center 116

SmartKarrot

OCTOBER 9, 2020

The app gives you a patient portal as well where you can see your account and all of the patient’s information in it. It is a technology-based company that takes the help of big data to augment fitness companies and dining halls. Further, it is passionate about building software that gets the most out of technology.

SaaS 10

SaaS Real estate Construction Multichannel 10

Natalie Petouhof

AUGUST 26, 2015

In addition to an overview of the vendor, these documents identify key differentiators, product offerings, and provide a number of features that should help a client create short list when determining which vendor to put on out an RFI or RFP. Today, it maintains two offices, one in San Mateo, California and one in Tel Aviv, Israel.

Sales 51

Sales Management Advertising Best practices 51

AWS Machine Learning

SEPTEMBER 21, 2022

Until recently, organizations hosting private AWS DeepRacer events had to create and assign AWS accounts to every event participant. This often meant securing and monitoring usage across hundreds or even thousands of AWS accounts. Build a solution around AWS DeepRacer multi-user account management.

Accountability 62

Accountability APIs Enterprise Big data 62

Balto

SEPTEMBER 12, 2023

It collects and analyzes big data across different customer touchpoints, translates the text and speech into machine-readable language, and carries out sentiment analysis that helps understand customer emotions and intent. Again, the key here is to make everything at your organization involved.

Customer Experience 52

Customer Experience Customer centricity Coaching Analytics 52