Kentik

FEBRUARY 14, 2019

Kentik is built with a highly scalable and distributed backend architecture which can ingest millions of flows per second and correlate with business logic in near real-time. There are a few more challenges which come with offering self-service portals beyond the technical architecture selection.

Network 45

Network Analytics How To Telecommunications 45

AWS Machine Learning - AI

APRIL 24, 2024

It uses the provided conversation history, action groups, and knowledge bases to understand the context and determine the necessary tasks. This is based on the instructions that are interpreted by the assistant as per the system prompt and user’s input. Additionally, you can access device historical data or device metrics.

Artificial Inteligence 105

Artificial Inteligence Lambda Generative AI Knowledge Base 105

AWS Machine Learning - AI

MAY 9, 2024

Verisk’s FAST platform is a leader in the life insurance and retirement sector, providing enhanced efficiency and flexible, easily upgradable architecture. In this post, we describe the development of the customer support process in FAST incorporating generative AI, the data, the architecture, and the evaluation of the results.

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Generative AI Artificial Inteligence Technical Review Development Team Review 112

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. Then we introduce you to a more versatile architecture that overcomes these limitations.

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Artificial Inteligence Analytics Knowledge Base Lambda 99

Kentik

APRIL 3, 2018

To learn more about Custom Dimensions, check out our Knowledge Base article. For more information, check out our Dashboards Knowledge Base article. Networking teams no longer need to be limited by unresponsive tools, aggregated stats, and data deadends. The Big Picture.

Network 40

Network WAN LAN Policies 40

AWS Machine Learning - AI

MAY 13, 2024

To implement our RAG system, we utilized a dataset of 95,000 radiology report findings-impressions pairs as the knowledge source. This dataset was uploaded to Amazon Simple Service (Amazon S3) data source and then ingested using Knowledge Bases for Amazon Bedrock. client('bedrock-runtime') bedrock_agent_client = boto3.client("bedrock-agent-runtime",

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Generative AI Artificial Inteligence Report Healthcare 103

Cloud Conformity

MARCH 1, 2019

The framework underpins our entire platform and forms our Knowledge Base to ensure your cloud infrastructure is the most resilient, secure and efficient for your needs. Not only does it involve recovery from failure or service disruptions, but it also includes the issue of capacity management and scalability.

AWS 40

AWS Cloud Software Review Infrastructure 40

Palo Alto Networks

MAY 6, 2020

The journey to transform remote access to the PwC network began about five years ago when we decided to modernize our architecture. Having the right technology in place to achieve a scalable work from home model is critical right now. No one knows how long these stay-at-home measures may be in place.

Scalability 52

Scalability Technical Review Hotels Network 52

Altexsoft

SEPTEMBER 9, 2022

Plus, a data fabric architecture design approach is also based on metadata as one of the main building blocks. They offer personalized metadata experience, powerful collaboration capabilities, and an open API architecture to support greater connectivity. Ensure its scalability and integrability. Implement software.

Tools 59

Tools Technical Review Software Review Systems Review 59

Existek

OCTOBER 18, 2023

With advancements driven by research breakthroughs, increased computing power, larger datasets, and innovative model architectures, it introduced sophisticated generative AI models. It integrates a built-in medical knowledge base with natural language capabilities to comprehend medical terminology. What is generative AI?

Generative AI 52

Generative AI Healthcare Artificial Inteligence Artificial Intelligence 52

AWS Machine Learning - AI

MARCH 14, 2024

Beyond hardware, data cleaning and processing, model architecture design, hyperparameter tuning, and training pipeline development demand specialized machine learning (ML) skills. Scalability – Indexing and retrieving from large corpora allows the approach to scale better compared to using the full corpus during generation.

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Generative AI AWS Applications Artificial Inteligence 102

AWS Machine Learning - AI

MARCH 14, 2024

The following figure illustrates this architecture. The unified, scalable pipeline we developed allows the PGA TOUR to scale to their full history of data, some of which goes back to the 1800s. She loves working with customers, understanding their requirements and providing them with scalable, easy to adopt UI/UX solutions.

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Generative AI Artificial Inteligence Virtualization UI/UX 98

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. Select the stack called Text-summarization-Infrastructure-stack and choose Delete.

Artificial Inteligence 102

Artificial Inteligence Meeting Generative AI AWS 102

John Snow Labs

JULY 28, 2023

Real-time Updates and Scalability: John Snow Labs’ LLM platform ensures that the information provided remains up-to-date and relevant. Organizations can update documents in near-real-time without the need for retraining the entire system, guaranteeing that users receive the latest answers based on the most recent data.

Artificial Inteligence 52

Artificial Inteligence AWS Software Review Healthcare 52

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? This pattern achieves a statically stable architecture, which is a resiliency best practice.

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Generative AI Disaster Recovery Artificial Inteligence AWS 109

AWS Machine Learning - AI

MARCH 28, 2024

With the advancements being made with LLMs like the Mixtral-8x7B Instruct , derivative of architectures such as the mixture of experts (MoE) , customers are continuously looking for ways to improve the performance and accuracy of generative AI applications while allowing them to effectively use a wider range of closed and open source models.

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Artificial Inteligence Generative AI AWS Load Balancer 109

Kentik

MAY 14, 2019

Regardless of the exact “whys,” adoption of cloud architectures doesn’t happen in a vacuum. And so, whenever we talk about “multi-cloud” architectures, we should also consider “hybrid-cloud” architectures — these two scenarios go hand-in-hand when we take a holistic look at an organization’s network infrastructure.

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Cloud Azure How To AWS 103

Cloudera

DECEMBER 20, 2023

Pinecone | Vector Database Highlights: The partnership will see Cloudera integrate Pinecone’s best-in-class vector database into Cloudera Data Platform (CDP), enabling organizations to easily build and deploy highly scalable, real time, AI-powered applications on Cloudera.

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Artificial Inteligence Artificial Intelligence Enterprise Machine Learning 70

Altexsoft

JUNE 20, 2019

However, scalability can be a challenge with SQL databases. Scalability challenges. MySQL was not built with scalability in mind,which is inherent in its code. Since MariaDB is close to MySQL it can be used to work with the same types of web-based applications. Cons of MySQL. Large capacity. Pros of Postgre.

Systems Review 85

Systems Review System Software Review Open Source 85

Altexsoft

MARCH 16, 2021

Another huge knowledge base is CanSAR — a multidisciplinary, free data resource that includes ML software to empower drug discovery and druggability assessment. It’s typically cheaper, safer, and will ensure flexibility and scalability. So, data architects and data engineers are needed to build the data architecture.

Big Data 116

Big Data Healthcare Applications Data 116

Codegiant

JULY 2, 2020

Scalable: The CI tests are run on separate machines. You can create API documentation, status pages, knowledge bases, product roadmaps, etc. Knowledge bases and FAQs. Amazons’ architecture is notorious for increasing the availability and durability of your repository data. It boasts tons of features.

Software Review 52

Software Review Open Source Systems Review AWS 52

AWS Machine Learning - AI

JANUARY 31, 2024

This post was co-written with Ricardo Perdigao, Solution Architecture Manager at Mendix, a Siemens business. By taking advantage of the robust cloud infrastructure of AWS, Mendix was able to provide a secure, scalable, and reliable solution for enterprises across the globe.

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Generative AI AWS Innovation Artificial Inteligence 80

iTexico

AUGUST 9, 2019

This billing plan tends to be fairly agile, as you retain the options for cancellation, exchanging regions, and scalability. However, while reserved capacity billing can be cost-effective for the right people, the more appealing benefit that Microsoft Azure provides for billing structure lies in its resource consumption-based model.

Azure 8

Azure Cloud Disaster Recovery Data Center 8

Altexsoft

MARCH 30, 2023

The relatively new storage architecture powering Databricks is called a data lakehouse. To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers. These improvements become possible due to the core components of the Databricks architecture — Delta Lake and Unity Catalog.

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Weak Development Team Machine Learning Artificial Inteligence Software Review 64