AWS Machine Learning - AI

MARCH 11, 2025

One of the most critical applications for LLMs today is Retrieval Augmented Generation (RAG), which enables AI models to ground responses in enterprise knowledge bases such as PDFs, internal documents, and structured data. How do Amazon Nova Micro and Amazon Nova Lite perform against GPT-4o mini in these same metrics?

Artificial Inteligence 87

Artificial Inteligence Knowledge Base Comparison Generative AI 87

AWS Machine Learning - AI

NOVEMBER 15, 2024

As Principal grew, its internal support knowledge base considerably expanded. With QnABot, companies have the flexibility to tier questions and answers based on need, from static FAQs to generating answers on the fly based on documents, webpages, indexed data, operational manuals, and more.

Generative AI 111

Generative AI AWS Groups Artificial Inteligence 111

AWS Machine Learning - AI

MARCH 20, 2025

The Asure team was manually analyzing thousands of call transcripts to uncover themes and trends, a process that lacked scalability. Staying ahead in this competitive landscape demands agile, scalable, and intelligent solutions that can adapt to changing demands.

Generative AI 69

Generative AI Artificial Inteligence Metrics AWS 69

AWS Machine Learning - AI

MARCH 20, 2025

With Amazon Bedrock Data Automation, enterprises can accelerate AI adoption and develop solutions that are secure, scalable, and responsible. By converting unstructured document collections into searchable knowledge bases, organizations can seamlessly find, analyze, and use their data.

Data 98

Data Generative AI Artificial Inteligence Compliance 98

AWS Machine Learning - AI

JANUARY 29, 2025

Accelerate your generative AI application development by integrating your supported custom models with native Bedrock tools and features like Knowledge Bases, Guardrails, and Agents. This serverless approach eliminates the need for infrastructure management while providing enterprise-grade security and scalability.

Generative AI 116

Generative AI Artificial Inteligence AWS Technical Review 116

AWS Machine Learning - AI

JANUARY 29, 2025

With Amazon Bedrock Knowledge Bases , you securely connect FMs in Amazon Bedrock to your company data for RAG. Amazon Bedrock Knowledge Bases facilitates data ingestion from various supported data sources; manages data chunking, parsing, and embeddings; and populates the vector store with the embeddings.

Generative AI 75

Generative AI Organization Enterprise Artificial Inteligence 75

TechCrunch

DECEMBER 13, 2022

The learning can come in the form of quizzes and polls, interactive sessions and more, and when interactive Q&A is generated around webinars, like some kind of very resourceful, waste-not-want-not stew, the outcomes from all those also get fed into the knowledge base for future reference.

Artificial Inteligence 245

Artificial Inteligence Education Enterprise Artificial Intelligence 245

AWS Machine Learning - AI

APRIL 24, 2024

Additionally, you can access device historical data or device metrics. Additionally, you can access device historical data or device metrics. The device metrics are stored in an Athena DB named "iot_ops_glue_db" in a table named "iot_device_metrics". The AI assistant interprets the user’s text input.

Artificial Inteligence 120

Artificial Inteligence Lambda Knowledge Base IoT 120

Perficient

MARCH 17, 2025

Einstein provides predictive suggestions, knowledge base articles, and even automatically suggests responses, helping agents address customer concerns with minimal effort. Knowledge Base and Self-Service Options Salesforce AgentForce comes with an extensive knowledge base that is easily accessible to both agents and customers.

Games 52

Games Knowledge Base Retail Media 52

AWS Machine Learning - AI

MARCH 7, 2025

During the solution design process, Verisk also considered using Amazon Bedrock Knowledge Bases because its purpose built for creating and storing embeddings within Amazon OpenSearch Serverless. Vaibhav Singh is a Product Innovation Analyst at Verisk, based out of New Jersey.

Generative AI 77

Generative AI Technical Review Insurance Policies 77

AWS Machine Learning - AI

NOVEMBER 7, 2024

Depending on the use case and data isolation requirements, tenants can have a pooled knowledge base or a siloed one and implement item-level isolation or resource level isolation for the data respectively. Model monitoring – The model monitoring service allows tenants to evaluate model performance against predefined metrics.

Generative AI 99

Generative AI AWS Enterprise Artificial Inteligence 99

Perficient

NOVEMBER 20, 2024

These high-level intents include: General Queries This intent captures broad, information-seeking emails unrelated to specific complaints or actions. These emails are generally routed to informational workflows or knowledge bases, allowing for automated responses with the required details.

Artificial Inteligence 52

Artificial Inteligence Metrics Airlines Travel 52

AWS Machine Learning - AI

MAY 13, 2024

We benchmark the results with a metric used for evaluating summarization tasks in the field of natural language processing (NLP) called Recall-Oriented Understudy for Gisting Evaluation (ROUGE). These metrics will assess how well a machine-generated summary compares to one or more reference summaries.

Generative AI 117

Generative AI Artificial Inteligence Report Healthcare 117

Perficient

JANUARY 14, 2025

Knowledge Base: Share articles, guides, and FAQs to support community members and encourage self-service. Custom Reports: Create tailored reports to track key metrics, such as community activity and content engagement. Scalability Experience Cloud is designed to grow with your business.

Cloud 52

Cloud Mobile Artificial Inteligence Artificial Intelligence 52

AWS Machine Learning - AI

MARCH 5, 2025

With deterministic evaluation processes such as the Factual Knowledge and QA Accuracy metrics of FMEval , ground truth generation and evaluation metric implementation are tightly coupled. To scale ground truth generation and curation, you can apply a risk-based approach in conjunction with a prompt-based strategy using LLMs.

Generative AI 73

Generative AI Systems Review Software Review Artificial Inteligence 73

AWS Machine Learning - AI

MAY 30, 2024

Retrieval Augmented Generation vs. fine tuning Traditional LLMs don’t have an understanding of Vitech’s processes and flow, making it imperative to augment the power of LLMs with Vitech’s knowledge base. Additionally, Vitech uses Amazon Bedrock runtime metrics to measure latency, performance, and number of tokens. “We

Artificial Inteligence 115

Artificial Inteligence Technical Review Development Team Review Software Review 115

AWS Machine Learning - AI

AUGUST 2, 2024

An approach to product stewardship with generative AI Large language models (LLMs) are trained with vast amounts of information crawled from the internet, capturing considerable knowledge from multiple domains. However, their knowledge is static and tied to the data used during the pre-training phase.

Artificial Inteligence 102

Artificial Inteligence Generative AI Energy Knowledge Base 102

Ivanti

JULY 15, 2024

Knowledge management Limited knowledge base. Robust knowledge base and self-service options. Metrics and reporting Basic reporting on tickets resolved. Metrics and reporting Basic reporting on tickets resolved. User self-service through knowledge base and portal. password resets).

Knowledge Base 75

Knowledge Base Change Management Report Analytics 75

AWS Machine Learning - AI

AUGUST 26, 2024

Our internal AI sales assistant, powered by Amazon Q Business , will be available across every modality and seamlessly integrate with systems such as internal knowledge bases, customer relationship management (CRM), and more. As new models become available on Amazon Bedrock, we have a structured evaluation process in place.

Generative AI 111

Generative AI AWS Artificial Inteligence Technical Review 111

AWS Machine Learning - AI

OCTOBER 2, 2024

Provide control through transparency of models, guardrails, and costs using metrics, logs, and traces The control pillar of the generative AI framework focuses on observability, cost management, and governance, making sure enterprises can deploy and operate their generative AI solutions securely and efficiently.

Generative AI 107

Generative AI Artificial Inteligence AWS Government 107

AWS Machine Learning - AI

MAY 9, 2024

Verisk FAST’s AI companion aims to alleviate this burden by not only providing 24/7 support for business processing and configuration questions related to FAST, but also tapping into the immense knowledge base to provide an in-depth, tailored response. However, they understood that this was not a one-and-done effort.

Generative AI 124

Generative AI Artificial Inteligence Technical Review Development Team Review 124

Palo Alto Networks

JANUARY 7, 2020

To help with this evaluation, we’ve condensed the considerations that go into building efficient and scalable security operations into six fundamental pillars. Metrics: How will we know it is working effectively? What knowledge base information needs to be accessed? Staffing: Who do we need to do this? Technology.

Technical Review 95

Technical Review Systems Review Vendor Management Knowledge Base 95

AWS Machine Learning - AI

DECEMBER 6, 2023

To create AI assistants that are capable of having discussions grounded in specialized enterprise knowledge, we need to connect these powerful but generic LLMs to internal knowledge bases of documents. To understand these limitations, let’s consider again the example of deciding where to invest based on financial reports.

Artificial Inteligence 113

Artificial Inteligence Analytics Knowledge Base Lambda 113

AWS Machine Learning - AI

FEBRUARY 1, 2024

The data sources may be PDF documents on a file system, data from a software as a service (SaaS) system like a CRM tool, or data from an existing wiki or knowledge base. Scalability – How many vectors can the system hold? In the batch case, there are a couple challenges compared to typical data pipelines.

Generative AI 124

Generative AI Disaster Recovery Artificial Inteligence AWS 124

Modus Create

FEBRUARY 3, 2021

Establish a knowledge base for each product. Problems to Solve. The Product Support team at AIA had a small staff supporting a large number of different products and sites, each with its own groups of external customers and stakeholders. Real-time product notifications. A Balanced Approach with the Right Tools.

Knowledge Base 75

Knowledge Base Tools Analytics Groups 75

AWS Machine Learning - AI

MAY 7, 2024

For a generative AI powered Live Meeting Assistant that creates post call summaries, but also provides live transcripts, translations, and contextual assistance based on your own company knowledge base, see our new LMA solution. AWS CDK version 2.0 Mateusz Zaremba is a DevOps Architect at AWS Professional Services.

Artificial Inteligence 117

Artificial Inteligence Meeting AWS Generative AI 117

AWS Machine Learning - AI

JANUARY 29, 2025

Accelerate your generative AI application development by integrating your supported custom models with native Bedrock tools and features like Knowledge Bases, Guardrails, and Agents. This serverless approach eliminates the need for infrastructure management while providing enterprise-grade security and scalability.

Generative AI 95

Generative AI Artificial Inteligence AWS Technical Review 95

AWS Machine Learning - AI

SEPTEMBER 23, 2024

An LLM is prompted to formulate a helpful answer based on the user’s questions and the retrieved chunks. Amazon Bedrock Knowledge Bases offers a streamlined approach to implement RAG on AWS, providing a fully managed solution for connecting FMs to custom data sources.

Artificial Inteligence 76

Artificial Inteligence Systems Review System Data 76

AWS Machine Learning - AI

SEPTEMBER 20, 2024

Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. With just a few configuration steps, you can dramatically expand your chatbot’s knowledge base and capabilities, all while maintaining a streamlined UI.

Generative AI 98

Generative AI Lambda Applications AWS 98

Apiumhub

NOVEMBER 15, 2018

This is where Confluence comes for creating summaries, synopses, reports, dashboards, progress updates or code metrics. Your team will be able to create and organize knowledge base articles thanks to a blueprint that contains templates for how-to and troubleshooting articles. Almost-infinit” scalability. Knowledgebase.

Software Review 75

Software Review Tools Software Technical Review 75

Altexsoft

JANUARY 14, 2022

Tasks that do not need specialized knowledge or insight are excellent fits for RPA. This is in contrast to cognitive automation , where technology needs a knowledge base and brings context and other human-like attributes to task execution. While the benefits of RPA are massive, stakeholders must avoid rushing in without a plan.

Technical Review 111

Technical Review Analytics Storage Systems Review 111

AWS Machine Learning - AI

SEPTEMBER 9, 2024

The AI Service Layer allows Domo to switch between different models provided by Amazon Bedrock for individual tasks and track their performance across key metrics like accuracy, latency, and cost. Domo uses the Domo AI Service Layer with Amazon Bedrock to provide customers with a flexible and powerful AI solution.

Artificial Inteligence 102

Artificial Inteligence Generative AI Data AWS 102

Capgemini

OCTOBER 10, 2024

As a Google Cloud Partner , in this instance we refer to text-based Gemini 1.5 Pro automates and enhances requirements engineering, by using a retrieval system that fetches relevant document chunks from a large knowledge base, as well as an LLM that produces answers to prompts using the information from those chunks.

Artificial Inteligence 52

Artificial Inteligence Analysis Google Cloud Infrastructure 52

Altexsoft

SEPTEMBER 15, 2020

Nobody specified beforehand that the attitude-control system and navigation software should both use the same metric or imperial units. Although there are hundreds of NFRs, the most common types are: performance and scalability, portability and compatibility, reliability, availability, maintainability, security, localization, and.

Software Review 72

Software Review Tools Software Technical Advisors 72

Mobilunity

OCTOBER 30, 2024

Team scalability and flexibility. First, state a broad but measurable objective based on the problem you’re solving with Artificial Intelligence — for instance, growing customer retention or increasing revenues. Monitoring key metrics. Add new AI developers on the go and without an extensive employment process.

Technical Review 52

Technical Review Software Review Development How To 52

Apiumhub

APRIL 27, 2021

Clustering mechanisms use graphics to show where the distribution of data is in relation to different types of metrics. Organizations can base dashboards on different metrics and use visualizations to visually highlight patterns in data, instead of simply using numerical outputs of statistical models. Benefits of Data Mining.

Artificial Inteligence 105

Artificial Inteligence Data Machine Learning Artificial Intelligence 105

Capgemini

AUGUST 16, 2024

Typical metrics for business growth are revenue increase and healthy profitability. In the scale-out phase, a cloud-based solution approach is often superior and should be duly considered. Productivity, innovation, and time-to-market are the key enablers of business growth.

Artificial Inteligence 52

Artificial Inteligence Applications Technical Advisors Technical Review 52