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. Data can be insightful to all of the roles HR takes on in facilitating the company’s CX goals. —@tcrawford. —@EngageGXD.

Customer Experience 96

Customer Experience Employee engagement Big data Customer centricity 96

AWS Machine Learning

FEBRUARY 28, 2024

Third, despite the larger adoption of centralized analytics solutions like data lakes and warehouses, complexity rises with different table names and other metadata that is required to create the SQL for the desired sources. Clean up To clean up the resources, you can start by cleaning up your S3 bucket where the data resides.

Engineering 127

Engineering Best practices Analytics Enterprise 127

AWS Machine Learning

JUNE 12, 2024

Amazon Q returns the response as a JSON object (detailed in the Amazon Q documentation ). sourceAttributions – The source documents used to generate the conversation response. In Retrieval Augmentation Generation (RAG), this always refers to one or more documents from enterprise knowledge bases that are indexed in Amazon Q.

APIs 128

APIs Enterprise Accountability Feedback 128

AWS Machine Learning

AUGUST 31, 2023

One of the tools available as part of the ML governance is Amazon SageMaker Model Cards , which has the capability to create a single source of truth for model information by centralizing and standardizing documentation throughout the model lifecycle. They provide a fact sheet of the model that is important for model governance.

Government 111

Government Accountability Enterprise Best practices 111

AWS Machine Learning

NOVEMBER 14, 2024

For example, a use case that’s been moved from the QA stage to pre-production could be rejected and sent back to the development stage for rework because of missing documentation related to meeting certain regulatory controls. About the authors Ram Vittal is a Principal ML Solutions Architect at AWS.

Government 89

Government Management APIs Accountability 89

CSM Magazine

JULY 29, 2021

In general, Addepto’s services consist of comprehensive consulting services regarding big data analytics and data science, business intelligence (BI), machine learning (ML), artificial intelligence (AI), and even AI software development. With Addepto’s help, your company will make the most of NLP.

Real estate 98

Real estate Engineering Consulting Consulting 98

Callminer

SEPTEMBER 14, 2020

Business analysts are involved in activities such as relationship building, process evaluation, requirements gathering, process improvement, scope definition, requirements documentation, non-technical and technical design, scope management, project support, charting future direction and road mapping.

Call Center 182

Call Center Analytics First call resolution Metrics 182

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 82

Enterprise Healthcare APIs Big data 82

Natalie Petouhof

JUNE 9, 2015

Clients can use document as a source for planning and work closely with both the business and technical teams to ensure success to deliver on the brand’s promise. Evolve commerce with interaction and behavior pattern analytics by putting big data to work. Strive for unity among channel connectivity.

Management 68

Management CRM Government Big data 68

Avaya

NOVEMBER 16, 2016

If an organization has undocumented features of its API, for instance, or if someone is rolling out an API and doesn’t have it properly documented or controlled, hackers can potentially take advantage. At the end of the day, businesses must be cautious as to what is being exposed and documented when writing APIs.

APIs 72

APIs Transportation Enterprise Healthcare 72

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.

Engineering 94

Engineering APIs Education Best practices 94

Cincom

JANUARY 31, 2025

Companies use advanced technologies like AI, machine learning, and big data to anticipate customer needs, optimize operations, and deliver customized experiences. Objective Data conversion for storage and retrieval. Scope Limited to data and documents. Efficiency and automation of existing workflows.

CRM 40

CRM Analytics Automotive Technology 40

NICE inContact

JUNE 9, 2016

This is a story about finding the hidden gems in your customer interaction data. And the good news is you don’t need “Big Data” to find them. In the age of big data, insights around workflow processes and creating better documentation can be lost. So, what should you do with it?

Big data 48

Big data Analytics Contact Center Surveys 48

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

MARCH 23, 2023

To learn more about real-time endpoint architectural best practices, refer to Creating a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker. 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 113

Scripts APIs Government Analytics 113

AWS Machine Learning

AUGUST 8, 2023

Amazon SageMaker offers several ways to run distributed data processing jobs with Apache Spark, a popular distributed computing framework for big data processing. It offers magic ( %spark , %sql ) commands to run Spark code, perform SQL queries, and configure Spark settings like executor memory and cores.

Scripts 77

Scripts Engineering Big data Management 77

Natalie Petouhof

MARCH 2, 2016

Anand Moorthy, Vice President, Global Testing Practice, Financial Services, Capgemini stated, “Our collaboration with Blueprint provides very robust requirements and documentation tools for customer implementations and internal product development,” said.

Management 40

Management Best practices Consulting Consulting 40

aircall

JUNE 2, 2021

When you meet face-to-face, you can also securely share sensitive documents and information. Top features include screen sharing (for presentations) and on-screen collaboration (for documents). Read our article to find out more best practices for SMS texting. You can also easily share documents, images, and links.

Personalization 62

Personalization Customer Service B2B Self service 62

AWS Machine Learning

DECEMBER 1, 2022

You can change the existing policies here by selecting the policy and editing the document. This role can also be recreated via Infrastructure as Code (IaC) by simply taking the contents of the policy documents and inserting them into your existing solution. Note that the following policy locks down Studio domain creation to VPC only.

Management 84

Management Government Enterprise APIs 84

AWS Machine Learning

MAY 10, 2023

You can learn more on the Canvas product page and documentation. His knowledge ranges from application architecture to big data, analytics, and machine learning. As business analysts, we created various visualizations to assess the trends in QuickSight. This capability is available in all Regions where Canvas is now supported.

Accountability 88

Accountability Enterprise Big data Management 88

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 87

Engineering Healthcare APIs Scripts 87

AWS Machine Learning

AUGUST 31, 2023

One of the tools available as part of the ML governance is Amazon SageMaker Model Cards , which has the capability to create a single source of truth for model information by centralizing and standardizing documentation throughout the model lifecycle. They provide a fact sheet of the model that is important for model governance.

Government 52

Government Accountability Enterprise Best practices 52

AWS Machine Learning

APRIL 19, 2023

Raj Ramasubbu is a Senior Analytics Specialist Solutions Architect focused on big data and analytics and AI/ML with Amazon Web Services. Raj provided technical expertise and leadership in building data engineering, big data analytics, business intelligence, and data science solutions for over 18 years prior to joining AWS.

Engineering 88

Engineering Analytics APIs Enterprise 88

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. With 8 years of experience in the IT industry, Ray is dedicated to building modern solutions on the cloud, especially in NoSQL, big data, and machine learning.

Customer Experience 70

Customer Experience APIs Feedback Chatbots 70

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. Together, we can develop best practices and sharable templates for the entire industry.

Call Center 52

Call Center Contact Center Analytics Engineering 52

AWS Machine Learning

MAY 8, 2023

More information can be found in the official MLflow documentation. He regularly speaks at AI and machine learning conferences across the world including O’Reilly AI, Open Data Science Conference, and Big Data Spain. At this point, the MLflow SDK only needs AWS credentials.

APIs 81

APIs Government Accountability Scripts 81

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. This kind of thing really helps the agents.

Contact Center 52

Contact Center Chatbots Banking Technology 52

AWS Machine Learning

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Best practices 137

Best practices Government Engineering Accountability 137

Stratifyd

JANUARY 3, 2019

The Senior Back-End Software Engineer will have demonstrated practical experience in building high-performance and reliable systems and possess a love for Git and all that version control provides (we can also accept a love/hate relationship with Git). Design, implement, and document new platform features and associated unit tests.

Engineering 40

Engineering APIs Analytics Healthcare 40

AWS Machine Learning

DECEMBER 6, 2023

Implementation includes the following steps: The first step is to break down the large document, such as a book, into smaller sections, or chunks. These models take the extracted summaries as input and produce abstractive summaries that capture the essence of the original document while ensuring readability and coherence.

Engineering 116

Engineering Healthcare Finance Big data 116

AWS Machine Learning

SEPTEMBER 18, 2024

Enhancing documentation and support: Provide comprehensive documentation and support resources to guide external clients through the BYOM process, including best practices for model preparation, integration, and optimization. Saurabh Gupta is a Principal Engineer at Zeta Global.

APIs 112

APIs Engineering Analytics Marketing 112

AWS Machine Learning

MARCH 5, 2025

In this post, we discuss best practices for applying LLMs to generate ground truth for evaluating question-answering assistants with FMEval on an enterprise scale. By following these guidelines, data teams can implement high fidelity ground truth generation for question-answering use case evaluation with FMEval.

Best practices 76

Best practices Enterprise Metrics Benchmark 76

AWS Machine Learning

DECEMBER 2, 2024

When a query arises, analysts must engage in a time-consuming process of reaching out to subject matter experts (SMEs) and go through multiple policy documents containing standard operating procedures (SOPs) relevant to the query. They spend hours consulting SMEs and reviewing extensive policy documents.

Finance 88

Finance Engineering Big data Metrics 88

AWS Machine Learning

NOVEMBER 13, 2024

Model cards are an essential component for registered ML models, providing a standardized way to document and communicate key model metadata, including intended use, performance, risks, and business information. The Amazon DataZone project ID is captured in the Documentation section.

Government 102

Government Engineering Metrics APIs 102

AWS Machine Learning

JANUARY 30, 2025

Your task is to review a proposal document from the perspective of a given persona, and assess it based on dimensions defined in a rubric. Review the provided proposal document: {PROPOSAL} 2. Ben West is a hands-on builder with experience in machine learning, big data analytics, and full-stack software development.

Engineering 83

Engineering APIs Healthcare Government 83

AWS Machine Learning

FEBRUARY 7, 2025

Data scientists Perform data analysis, model development, model evaluation, and registering the models in a model registry. Governance officer Review the models performance including documentation, accuracy, bias and access, and provide final approval for models to be deployed. However, the journey doesnt stop here.

Government 63

Government Engineering Accountability Best practices 63

AWS Machine Learning

JANUARY 7, 2025

She helps AWS customers to bring their big ideas to life and accelerate the adoption of emerging technologies. Hin Yee works closely with customer stakeholders to identify, shape and deliver impactful use cases leveraging Generative AI, AI/ML, Big Data, and Serverless technologies using agile methodologies.

Technical Support 98

Technical Support APIs Government Analytics 98