AWS Machine Learning - AI

MAY 1, 2025

We will deep dive into the MCP architecture later in this post. For MCP implementation, you need a scalable infrastructure to host these servers and an infrastructure to host the large language model (LLM), which will perform actions with the tools implemented by the MCP server. The following diagram illustrates this workflow.

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CIO

MARCH 20, 2025

AI practitioners and industry leaders discussed these trends, shared best practices, and provided real-world use cases during EXLs recent virtual event, AI in Action: Driving the Shift to Scalable AI. And its modular architecture distributes tasks across multiple agents in parallel, increasing the speed and scalability of migrations.

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Artificial Inteligence Enterprise Insurance Artificial Intelligence 139

CIO

DECEMBER 30, 2024

For example, the previous best model, GPT-4o, could only solve 13% of the problems on the International Mathematics Olympiad, while the new reasoning model solved 83%. Take for example the use of AI in deciding whether to approve a loan, a medical procedure, pay an insurance claim or make employment recommendations.

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Xebia

APRIL 15, 2025

Scalable Onboarding: Easing New Members into a Scala Codebase Piotr Zawia-Niedwiecki In this talk, Piotr Zawia-Niedwiecki, a senior AI engineer, shares insights from his experience onboarding over ten university graduates, focusing on the challenges and strategies to make the transition smoother. These concepts are rarely well-documented.

Architecture 130

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CIO

DECEMBER 5, 2024

Take, for example, a recent case with one of our clients. When evaluating options, prioritize platforms that facilitate data democratization through low-code or no-code architectures. The ideal solution should be scalable and flexible, capable of evolving alongside your organization’s needs.

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CIO

MARCH 26, 2025

For example, a business that depends on the SAP platform could move older, on-prem SAP applications to modern HANA-based Cloud ERP and migrate other integrated applications to SAP RISE (a platform that provides access to most core AI-enabled SAP solutions via a fully managed cloud hosting architecture).

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CIO

APRIL 2, 2025

And third, systems consolidation and modernization focuses on building a cloud-based, scalable infrastructure for integration speed, security, flexibility, and growth. What are some examples of this strategy in action?

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AWS Machine Learning - AI

JANUARY 29, 2025

In this post, we explore how to deploy distilled versions of DeepSeek-R1 with Amazon Bedrock Custom Model Import, making them accessible to organizations looking to use state-of-the-art AI capabilities within the secure and scalable AWS infrastructure at an effective cost. 8B ) and DeepSeek-R1-Distill-Llama-70B (from base model Llama-3.3-70B-Instruct

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Generative AI Artificial Inteligence AWS Technical Review 132

Dzone - DevOps

APRIL 9, 2025

When combined with the transformative capabilities of artificial intelligence (AI) and machine learning (ML), serverless architectures become a powerhouse for creating intelligent, scalable, and cost-efficient solutions. Why Combine AI, ML, and Serverless Computing?

Serverless 52

Serverless Artificial Inteligence Scalability AWS 52

AWS Machine Learning - AI

OCTOBER 29, 2024

We walk through the key components and services needed to build the end-to-end architecture, offering example code snippets and explanations for each critical element that help achieve the core functionality. Solution overview The following diagram illustrates the pipeline for the video insights and summarization engine.

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Generative AI Video Engineering Artificial Inteligence 111

Hacker Earth Developers Blog

DECEMBER 4, 2024

Below are some of the key challenges, with examples to illustrate their real-world implications: 1. Example: During an interview, a candidate may confidently explain their role in resolving a team conflict. Example: A candidate may claim to have excellent teamwork skills but might have been the sole decision-maker in previous roles.

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AWS Machine Learning - AI

MARCH 13, 2025

This post will discuss agentic AI driven architecture and ways of implementing. Agentic AI architecture Agentic AI architecture is a shift in process automation through autonomous agents towards the capabilities of AI, with the purpose of imitating cognitive abilities and enhancing the actions of traditional autonomous agents.

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Artificial Inteligence Lambda Travel Generative AI 95

AWS Machine Learning - AI

APRIL 9, 2025

For example, a marketing content creation application might need to perform task types such as text generation, text summarization, sentiment analysis, and information extraction as part of producing high-quality, personalized content. An example is a virtual assistant for enterprise business operations.

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Artificial Inteligence Generative AI AWS Applications 129

Mobilunity

APRIL 24, 2025

In today’s digital landscape, businesses increasingly use cloud architecture to drive innovation, scalability, and efficiency. In contrast to conventional approaches, cloud-native applications are created specifically for the cloud platforms, enabling companies to leverage: Scalability. Scalability. billion in 2024.

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Cloudera

JANUARY 7, 2025

Leveraging Clouderas hybrid architecture, the organization optimized operational efficiency for diverse workloads, providing secure and compliant operations across jurisdictions while improving response times for public health initiatives. Scalability: Choose platforms that can dynamically scale to meet fluctuating workload demands.

Cloud 82

Cloud Data Scalability Compliance 82

Hacker Earth Developers Blog

DECEMBER 25, 2024

For example, you can simulate real-world scenarios through coding challenges to assess how candidates tackle complex problems under time constraints. For instance, assigning a project that involves designing a scalable database architecture can reveal a candidates technical depth and strategic thinking.

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AWS Machine Learning - AI

NOVEMBER 1, 2024

Without a scalable approach to controlling costs, organizations risk unbudgeted usage and cost overruns. This scalable, programmatic approach eliminates inefficient manual processes, reduces the risk of excess spending, and ensures that critical applications receive priority.

Generative AI 142

Generative AI AWS Artificial Inteligence Budget 142

CIO

MAY 30, 2024

As enterprises increasingly embrace serverless computing to build event-driven, scalable applications, the need for robust architectural patterns and operational best practices has become paramount. Enterprises and SMEs, all share a common objective for their cloud infra – reduced operational workloads and achieve greater scalability.

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CIO

MARCH 26, 2025

He says, My role evolved beyond IT when leadership recognized that platform scalability, AI-driven matchmaking, personalized recommendations, and data-driven insights were crucial for business success. A high-performing database architecture can significantly improve user retention and lead generation.

Real Estate 159

Real Estate Leadership Study Technology 159

Xebia

DECEMBER 16, 2024

Initially, our industry relied on monolithic architectures, where the entire application was a single, simple, cohesive unit. Ever increasing complexity To overcome these limitations, we transitioned to Service-Oriented Architecture (SOA). SOA decomposed applications into smaller, independent services that communicated over a network.

Software Development 130

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AWS Machine Learning - AI

MARCH 13, 2025

For example, MaestroQA offers sentiment analysis for customers to identify the sentiment of their end customer during the support interaction, enabling MaestroQAs customers to sort their interactions and manually inspect the best or worst interactions. For example, Can I speak to your manager?

Generative AI 113

Generative AI CTO Coach AWS Artificial Inteligence 113

AWS Machine Learning - AI

OCTOBER 31, 2024

By implementing this architectural pattern, organizations that use Google Workspace can empower their workforce to access groundbreaking AI solutions powered by Amazon Web Services (AWS) and make informed decisions without leaving their collaboration tool. In the following sections, we explain how to deploy this architecture.

Generative AI 123

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CIO

APRIL 16, 2025

Digital tools are the lifeblood of todays enterprises, but the complexity of hybrid cloud architectures, involving thousands of containers, microservices and applications, frustratesoperational leaders trying to optimize business outcomes. A single view of all operations on premises and in the cloud.

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Artificial Inteligence Artificial Intelligence Analysis Banking 88

AWS Machine Learning - AI

MARCH 14, 2025

For example, your agent could take screenshots, create and edit text files, and run built-in Linux commands. Invoke the agent with a user query that requires computer use tools, for example, What is Amazon Bedrock, can you search the web? The following diagram illustrates the solution architecture.

AWS 134

AWS Generative AI Linux Groups 134

AWS Machine Learning - AI

NOVEMBER 6, 2024

The solution we explore consists of two main components: a Python application for the UI and an AWS deployment architecture for hosting and serving the application securely. The AWS deployment architecture makes sure the Python application is hosted and accessible from the internet to authenticated users.

Generative AI 119

Generative AI AWS Artificial Inteligence Applications 119

AWS Machine Learning - AI

NOVEMBER 7, 2024

It contains services used to onboard, manage, and operate the environment, for example, to onboard and off-board tenants, users, and models, assign quotas to different tenants, and authentication and authorization microservices. Take Retrieval Augmented Generation (RAG) as an example. The component groups are as follows.

Generative AI 113

Generative AI AWS Enterprise Artificial Inteligence 113

TechCrunch

FEBRUARY 6, 2023

You either need: Experienced developers to maintain architectural integrity, maintainability and licensing considerations, or A cloud platform built to adapt to the changing landscape and build, migrate and manage cloud applications. Until you get those, here are some best practices for getting started.

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Infrastructure Cloud Minimum Viable Product Weak Development Team 246

AWS Machine Learning - AI

SEPTEMBER 26, 2024

To accelerate iteration and innovation in this field, sufficient computing resources and a scalable platform are essential. In this post, we share an ML infrastructure architecture that uses SageMaker HyperPod to support research team innovation in video generation.

Case Study 119

Case Study Video Training Scalability 119

AWS Machine Learning - AI

NOVEMBER 15, 2024

Generative AI models (for example, Amazon Titan) hosted on Amazon Bedrock were used for query disambiguation and semantic matching for answer lookups and responses. The following diagram illustrates the Principal generative AI chatbot architecture with AWS services.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

AWS Machine Learning - AI

MARCH 3, 2025

Tuning model architecture requires technical expertise, training and fine-tuning parameters, and managing distributed training infrastructure, among others. These recipes are processed through the HyperPod recipe launcher, which serves as the orchestration layer responsible for launching a job on the corresponding architecture.

Artificial Inteligence 98

Artificial Inteligence Generative AI AWS Training 98

AWS Machine Learning - AI

APRIL 30, 2025

Building a solid business case: Operational excellence drives customer experience The foundation of successful generative AI implementations are business cases with clear value propositions that fit with organizational goals, for example, improving efficiency, cost savings, or revenue growth.

Generative AI 68

Generative AI Artificial Inteligence AWS Machine Learning 68

AWS Machine Learning - AI

MARCH 7, 2025

The following screenshot shows an example of the output of the Mozart companion displaying the summary of changes between two legal documents, the excerpt from the original document version, the updated excerpt in the new document version, and the tracked changes represented with redlines. Connect with him on LinkedIn.

Generative AI 101

Generative AI Technical Review Insurance Policies 101

AWS Machine Learning - AI

OCTOBER 29, 2024

Through code examples and step-by-step guidance, we demonstrate how you can seamlessly integrate this solution into your Amazon Bedrock application, unlocking a new level of visibility, control, and continual improvement for your generative AI applications. versions, catering to different programming preferences.

Generative AI 113

Generative AI Applications AWS Knowledge Base 113

TechCrunch

DECEMBER 17, 2021

The startup plans to use its new capital to expand its suite of products, keep adding to its 60-person team and provide carbon reduction analysis for the architecture, engineering and construction industries. . Cove’s software-driven approach has the potential to make architecture both easier and cleaner,” he wrote via email.

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Sustainability Construction Tools Machine Learning 253

AWS Machine Learning - AI

MARCH 20, 2025

Lets look at an example solution for implementing a customer management agent: An agentic chat can be built with Amazon Bedrock chat applications, and integrated with functions that can be quickly built with other AWS services such as AWS Lambda and Amazon API Gateway. Give the project a name (for example, crm-agent ).

Generative AI 116

Generative AI Systems Review System Lambda 116

CIO

SEPTEMBER 26, 2024

Dell Technologies takes this a step further with a scalable and modular architecture that lets enterprises customize a range of GenAI-powered digital assistants. For instance, organizations can implement ideal code examples and preferred processes into code-writing models.

Enterprise 195

Enterprise Artificial Inteligence Scalability Compliance 195

TechCrunch

MARCH 1, 2022

. “While we were [at PagerDuty], we saw all of these companies with microservices or distributed architectures — and they’re all struggling with this concept of service ownership and owning services,” Laban told me. ” The answer to this problem, Laban argues, is automation. Image Credits: OpsLevel.

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