AWS Machine Learning - AI

NOVEMBER 7, 2024

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle.

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AWS Machine Learning - AI

MARCH 4, 2025

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. In this post, we explore a generative AI solution leveraging Amazon Bedrock to streamline the WAFR process.

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AWS Machine Learning - AI

NOVEMBER 1, 2024

As enterprises increasingly embrace generative AI , they face challenges in managing the associated costs. With demand for generative AI applications surging across projects and multiple lines of business, accurately allocating and tracking spend becomes more complex.

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CIO

OCTOBER 23, 2024

Since 2022, the tech industry has experienced massive layoffs, as large tech companies have reduced their workforce numbers in response to rising interest rates and emerging generative AI technology. Then in August, Intel announced a 15% reduction of its global workforce, amounting to approximately 15,000 jobs.

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AWS Machine Learning - AI

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. Many commercial generative AI solutions available are expensive and require user-based licenses.

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AWS Machine Learning - AI

NOVEMBER 15, 2024

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. Adherence to responsible and ethical AI practices were a priority for Principal.

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AWS Machine Learning - AI

OCTOBER 31, 2024

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more.

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CIO

NOVEMBER 19, 2024

All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence. The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data.

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AWS Machine Learning - AI

OCTOBER 29, 2024

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. Multiple programming language support – The GitHub repository provides the observability solution in both Python and Node.js

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CIO

NOVEMBER 22, 2024

The road ahead for IT leaders in turning the promise of generative AI into business value remains steep and daunting, but the key components of the gen AI roadmap — data, platform, and skills — are evolving and becoming better defined. MIT event, moderated by Lan Guan, CAIO at Accenture.

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CIO

MAY 30, 2024

Generative AI is poised to disrupt nearly every industry, and IT professionals with highly sought after gen AI skills are in high demand, as companies seek to harness the technology for various digital and operational initiatives.

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CIO

MARCH 14, 2025

As Artificial Intelligence (AI)-powered cyber threats surge, INE Security , a global leader in cybersecurity training and certification, is launching a new initiative to help organizations rethink cybersecurity training and workforce development.

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AWS Machine Learning - AI

NOVEMBER 14, 2024

This is where AWS and generative AI can revolutionize the way we plan and prepare for our next adventure. With the significant developments in the field of generative AI , intelligent applications powered by foundation models (FMs) can help users map out an itinerary through an intuitive natural conversation interface.

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AWS Machine Learning - AI

MARCH 26, 2025

Generative AI has emerged as a game changer, offering unprecedented opportunities for game designers to push boundaries and create immersive virtual worlds. At the forefront of this revolution is Stability AIs cutting-edge text-to-image AI model, Stable Diffusion 3.5 Large (SD3.5

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CIO

MARCH 25, 2025

Artificial intelligence (AI) has rapidly shifted from buzz to business necessity over the past yearsomething Zscaler has seen firsthand while pioneering AI-powered solutions and tracking enterprise AI/ML activity in the worlds largest security cloud. Zscaler Figure 1: Top AI applications by transaction volume 2.

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AWS Machine Learning - AI

NOVEMBER 6, 2024

The rise of large language models (LLMs) and foundation models (FMs) has revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). Unpack the JSON string as follows: response_body = json.loads(response.get('body').read())

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AWS Machine Learning - AI

NOVEMBER 13, 2024

However, as the reach of live streams expands globally, language barriers and accessibility challenges have emerged, limiting the ability of viewers to fully comprehend and participate in these immersive experiences. The following diagram illustrates the architecture of the application.

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AWS Machine Learning - AI

APRIL 1, 2025

AI agents extend large language models (LLMs) by interacting with external systems, executing complex workflows, and maintaining contextual awareness across operations. In this post, we show you how to build an Amazon Bedrock agent that uses MCP to access data sources to quickly build generative AI applications.

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AWS Machine Learning - AI

NOVEMBER 20, 2024

Retrieval Augmented Generation (RAG) has become a crucial technique for improving the accuracy and relevance of AI-generated responses. The effectiveness of RAG heavily depends on the quality of context provided to the large language model (LLM), which is typically retrieved from vector stores based on user queries.

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AWS Machine Learning - AI

JANUARY 29, 2025

Generative AI can revolutionize organizations by enabling the creation of innovative applications that offer enhanced customer and employee experiences. In this post, we evaluate different generative AI operating model architectures that could be adopted.

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CIO

NOVEMBER 7, 2024

Right now, we are thinking about, how do we leverage artificial intelligence more broadly? It covers essential topics like artificial intelligence, our use of data models, our approach to technical debt, and the modernization of legacy systems. We’re modernizing our ecosystem. I think we’re very much on our way.

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Tenable

NOVEMBER 29, 2024

The agencies recommend that organizations developing and deploying AI systems incorporate the following: Ensure a secure deployment environment : Confirm that the organization’s IT infrastructure is robust, with good governance, a solid architecture and secure configurations in place.

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AWS Machine Learning - AI

MARCH 5, 2025

Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques.

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Palo Alto Networks

OCTOBER 30, 2024

As policymakers across the globe approach regulating artificial intelligence (AI), there is an emerging and welcomed discussion around the importance of securing AI systems themselves. These models are increasingly being integrated into applications and networks across every sector of the economy.

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Security Artificial Inteligence Infrastructure Government 105

CIO

AUGUST 19, 2024

Yet as organizations figure out how generative AI fits into their plans, IT leaders would do well to pay close attention to one emerging category: multiagent systems. Agents come in many forms, many of which respond to prompts humans issue through text or speech. A similar approach to infrastructure can help.

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AWS Machine Learning - AI

OCTOBER 16, 2024

The following were some initial challenges in automation: Language diversity – The services host both Dutch and English shows. Some local shows feature Flemish dialects, which can be difficult for some large language models (LLMs) to understand. About the Authors Lucas Desard is GenAI Engineer at DPG Media.

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AWS Machine Learning - AI

MARCH 7, 2025

At the forefront of using generative AI in the insurance industry, Verisks generative AI-powered solutions, like Mozart, remain rooted in ethical and responsible AI use. The following diagram illustrates the solution architecture. The new Mozart companion is built using Amazon Bedrock.

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CIO

NOVEMBER 1, 2024

As part of MMTech’s unifying strategy, Beswick chose to retire the data centers and form an “enterprisewide architecture organization” with a set of standards and base layers to develop applications and workloads that would run on the cloud, with AWS as the firm’s primary cloud provider.

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AWS Machine Learning - AI

DECEMBER 23, 2024

Customers need better accuracy to take generative AI applications into production. This enhancement is achieved by using the graphs ability to model complex relationships and dependencies between data points, providing a more nuanced and contextually accurate foundation for generative AI outputs.

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CIO

APRIL 25, 2023

Over the last few months, both business and technology worlds alike have been abuzz about ChatGPT, and more than a few leaders are wondering what this AI advancement means for their organizations. It’s only one example of generative AI. GPT stands for generative pre-trained transformer. What is ChatGPT?

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CIO

JANUARY 13, 2025

Shift AI experimentation to real-world value Generative AI dominated the headlines in 2024, as organizations launched widespread experiments with the technology to assess its ability to enhance efficiency and deliver new services. Most of all, the following 10 priorities should be at the top of your 2025 to-do list.

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AWS Machine Learning - AI

MARCH 20, 2025

Asure anticipated that generative AI could aid contact center leaders to understand their teams support performance, identify gaps and pain points in their products, and recognize the most effective strategies for training customer support representatives using call transcripts. Yasmine Rodriguez, CTO of Asure.

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CIO

MARCH 27, 2025

Are you using artificial intelligence (AI) to do the same things youve always done, just more efficiently? EXL executives and AI practitioners discussed the technologys full potential during the companys recent virtual event, AI in Action: Driving the Shift to Scalable AI. The EXLerate.AI

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AWS Machine Learning - AI

APRIL 1, 2025

Whether youre using Amazon Q , Amazon Bedrock , or other AI tools in your workflow, AWS MCP Servers complement and enhance these capabilities with deep AWS specific knowledge to help you build better solutions faster. With MCP, we can transform general-purpose LLMs into AWS specialists by connecting them to specialized knowledge servers.

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AWS Machine Learning - AI

MARCH 13, 2025

This post was co-written with Vishal Singh, Data Engineering Leader at Data & Analytics team of GoDaddy Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) in these solutions has become increasingly popular.

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AWS Machine Learning - AI

JANUARY 22, 2025

These services use advanced machine learning (ML) algorithms and computer vision techniques to perform functions like object detection and tracking, activity recognition, and text and audio recognition. These prompts are crucial in determining the quality, relevance, and coherence of the output generated by the AI.

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O'Reilly Media - Ideas

NOVEMBER 19, 2024

One popular term encountered in generative AI practice is retrieval-augmented generation (RAG). Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data.

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