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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Generative AI Artificial Inteligence Metrics AWS 79

AWS Machine Learning - AI

JANUARY 13, 2025

This is where intelligent document processing (IDP), coupled with the power of generative AI , emerges as a game-changing solution. Enhancing the capabilities of IDP is the integration of generative AI, which harnesses large language models (LLMs) and generative techniques to understand and generate human-like text.

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Education Report Technical Review Generative AI 103

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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Generative AI Systems Review Software Review Artificial Inteligence 75

AWS Machine Learning - AI

APRIL 10, 2025

As businesses and developers increasingly seek to optimize their language models for specific tasks, the decision between model customization and Retrieval Augmented Generation (RAG) becomes critical. Check out the Generative AI Innovation Center for our latest work and customer success stories.

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Case Study Artificial Inteligence Study Generative AI 116

Xebia

FEBRUARY 23, 2025

Organizations that embrace agentic AI early are set to gain a competitive advantage. By boosting productivity and fostering innovation, human-AI collaboration will reshape workplaces, making operations more efficient, scalable, and adaptable. It’s the toolkit for reliable, safe, and value-generating AI.

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Trends Data Artificial Inteligence Weak Development Team 130

AWS Machine Learning - AI

APRIL 22, 2024

This post serves as a starting point for any executive seeking to navigate the intersection of generative artificial intelligence (generative AI) and sustainability. A roadmap to generative AI for sustainability In the sections that follow, we provide a roadmap for integrating generative AI into sustainability initiatives 1.

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Generative AI Sustainability Artificial Inteligence AWS 136

AWS Machine Learning - AI

MAY 21, 2024

For several years, we have been actively using machine learning and artificial intelligence (AI) to improve our digital publishing workflow and to deliver a relevant and personalized experience to our readers. These applications are a focus point for our generative AI efforts. and calculating a brand safety score.

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Generative AI Artificial Inteligence AWS Advertising 134

AWS Machine Learning - AI

NOVEMBER 7, 2024

Generative AI has transformed customer support, offering businesses the ability to respond faster, more accurately, and with greater personalization. AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses.

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Lambda Enterprise Automotive Knowledge Base 127

AWS Machine Learning - AI

JULY 3, 2024

Generative AI and transformer-based large language models (LLMs) have been in the top headlines recently. These models demonstrate impressive performance in question answering, text summarization, code, and text generation. Amazon Simple Storage Service (S3) : for documents and processed data caching.

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Artificial Inteligence Generative AI Lambda Healthcare 128

AWS Machine Learning - AI

AUGUST 6, 2024

I explored how Bedrock enables customers to build a secure, compliant foundation for generative AI applications. Amazon Bedrock equips you with a powerful and comprehensive toolset to transform your generative AI from a one-size-fits-all solution into one that is finely tailored to your unique needs.

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AWS Machine Learning - AI

APRIL 1, 2025

Todays AI assistants can understand complex requirements, generate production-ready code, and help developers navigate technical challenges in real time. With specialties in Generative AI and SaaS, she loves helping her customers succeed in their business. Justin Lewis leads the Emerging Technology Accelerator at AWS.

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AWS Software Review Knowledge Base Artificial Inteligence 119

AWS Machine Learning - AI

MARCH 20, 2025

Gartner predicts that by 2027, 40% of generative AI solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023. The McKinsey 2023 State of AI Report identifies data management as a major obstacle to AI adoption and scaling.

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Data Generative AI Artificial Inteligence Compliance 112

AWS Machine Learning - AI

OCTOBER 2, 2024

Large enterprises are building strategies to harness the power of generative AI across their organizations. Managing bias, intellectual property, prompt safety, and data integrity are critical considerations when deploying generative AI solutions at scale.

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Generative AI Artificial Inteligence AWS Government 122

AWS Machine Learning - AI

SEPTEMBER 18, 2024

Generative AI and large language models (LLMs) offer new possibilities, although some businesses might hesitate due to concerns about consistency and adherence to company guidelines. The personalized content is built using generative AI by following human guidance and provided sources of truth.

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Generative AI Artificial Inteligence Fractional CTO Guidelines 121

AWS Machine Learning - AI

FEBRUARY 6, 2024

Accenture built a regulatory document authoring solution using automated generative AI that enables researchers and testers to produce CTDs efficiently. By extracting key data from testing reports, the system uses Amazon SageMaker JumpStart and other AWS AI services to generate CTDs in the proper format.

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AWS Machine Learning - AI

MARCH 14, 2024

Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. In this post, we explore different approaches you can take when building applications that use generative AI.

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Generative AI AWS Applications Artificial Inteligence 131

AWS Machine Learning - AI

APRIL 23, 2024

As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. However, to unlock the long-term success and viability of these AI-powered solutions, it is crucial to align them with well-established architectural principles.

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Knowledge Base Scalability Applications Generative AI 125

AWS Machine Learning - AI

AUGUST 22, 2024

At the forefront of harnessing cutting-edge technologies in the insurance sector such as generative artificial intelligence (AI), Verisk is committed to enhancing its clients’ operational efficiencies, productivity, and profitability. Discovery Navigator recently released automated generative AI record summarization capabilities.

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Generative AI Technical Review Software Review Systems Review 111

AWS Machine Learning - AI

OCTOBER 15, 2024

Now, with the advent of large language models (LLMs), you can use generative AI -powered virtual assistants to provide real-time analysis of speech, identification of areas for improvement, and suggestions for enhancing speech delivery. The generative AI capabilities of Amazon Bedrock efficiently process user speech inputs.

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AWS Machine Learning - AI

MAY 9, 2024

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. Conversational AI assistants are rapidly transforming customer and employee support. helped reduce randomness and repetition in the generated responses.

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Generative AI Artificial Inteligence Technical Review Development Team Review 129

AWS Machine Learning - AI

FEBRUARY 25, 2025

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Lambda Generative AI AWS Software Review 63

CIO

OCTOBER 2, 2024

But as the datasets grow with generative AI, making sure the data is high quality and consistent becomes a challenge, especially given the increased velocity. Having automated and scalable data checks is key.” We started with generic AI usage guidelines, just to make sure we had some guardrails around our experiments,” she says.

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Data Compliance Government Guidelines 211

John Snow Labs

APRIL 29, 2025

In the era of large language models (LLMs)where generative AI can write, summarize, translate, and even reason across complex documentsthe function of data annotation has shifted dramatically. What was once a preparatory task for training AI is now a core part of a continuous feedback and improvement cycle.

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Artificial Inteligence Training Tools Generative AI 52

AWS Machine Learning - AI

JULY 31, 2024

Without proper safeguards, large language models (LLMs) can potentially generate harmful, biased, or inappropriate content, posing risks to individuals and organizations. Applying guardrails helps mitigate these risks by enforcing policies and guidelines that align with ethical principles and legal requirements.

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Artificial Inteligence Generative AI Policies Guidelines 125

AWS Machine Learning - AI

JULY 11, 2024

In this blog post, we explore how Agents for Amazon Bedrock can be used to generate customized, organization standards-compliant IaC scripts directly from uploaded architecture diagrams. This will help accelerate deployments, reduce errors, and ensure adherence to security guidelines.

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Software Review Infrastructure Lambda Generative AI 134

Cloudera

JUNE 12, 2024

article , “The McKinsey Global Institute (MGI) estimates that across the global banking sector, [Generative AI] could add between $200 billion and $340 billion in value annually, or 2.8 Adhering to industry regulations and guidelines is necessary to ensure fairness and accountability in AI decision-making processes.

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AWS Machine Learning - AI

SEPTEMBER 5, 2024

A high-quality prompt maximizes the chances of having a good response from the generative AI models. A fundamental part of the optimization process is the evaluation, and there are multiple elements involved in the evaluation of a generative AI application. The prompt is better if containing examples. -

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Artificial Inteligence Generative AI Technical Review Examples 131

Capgemini

MARCH 26, 2025

We’ve moved beyond deterministic chatbots and automated processes to a realm where embedded generative AI enables faster, more personalized interactions that build loyalty and connection. Accessing various data sources requires clear guidelines and governance to ensure compliance with existing data rules.

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Google Cloud Generative AI Artificial Inteligence Infrastructure 52

CIO

SEPTEMBER 26, 2023

Overreliance on manual intervention could impact scalability and efficiency in routine tasks,” Farooq warns, noting that it’s important to establish clear guidelines for identifying cases in which an automation process should be bypassed. IT Leadership, IT Management, IT Strategy

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Technical Advisors How To Policies Change Management 212

Perficient

AUGUST 22, 2023

With the proliferation of AI disrupting every industry, AI adoption is vital for organizations that wish to remain viable and competitive. This week, the Perficient Team headed to New York City with our Partners at Writer, the generative AI platform for enterprises. The question we hear, though, is “how and where?”

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AWS Machine Learning - AI

OCTOBER 15, 2024

In this blog post, we will harness the power of generative AI and Amazon Bedrock to help organizations simplify, accelerate, and scale migration assessments. RAG combines information retrieval with generative capabilities to enhance contextual relevance and reduce hallucinations.

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Lambda Knowledge Base AWS Generative AI 92

Existek

OCTOBER 18, 2023

In this article, we’ll discuss the topic of generative AI in healthcare and how it’s transforming this vital industry. List of the Content What is generative AI? How is generative AI transforming healthcare? Challenges of generative AI in healthcare Conclusion WHAT IS GENERATIVE AI?

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Generative AI Healthcare Artificial Inteligence Artificial Intelligence 52

AWS Machine Learning - AI

SEPTEMBER 26, 2024

Generative AI is a modern form of machine learning (ML) that has recently shown significant gains in reasoning, content comprehension, and human interaction. But first, let’s revisit some basic concepts around Retrieval Augmented Generation (RAG) applications.

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Artificial Inteligence Generative AI Knowledge Base AWS 108

John Snow Labs

DECEMBER 13, 2024

However, mainstream medical guidelines often lack the depth needed to fully support functional medicine practices. With the advancement of Generative AI, the company is rolling out a novel AI solution that is comprehensive, trustworthy, and personalized for each patient story.

Knowledge Base 52

Knowledge Base Generative AI Artificial Inteligence Guidelines 52

AWS Machine Learning - AI

NOVEMBER 24, 2023

This is where Amazon Bedrock with its generative AI capabilities steps in to reshape the game. In this post, we dive into how Amazon Bedrock is transforming the product description generation process, empowering e-retailers to efficiently scale their businesses while conserving valuable time and resources.

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AWS Machine Learning - AI

APRIL 24, 2024

Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. With AWS generative AI services like Amazon Bedrock , developers can create systems that expertly manage and respond to user requests.

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Artificial Inteligence Lambda Knowledge Base IoT 133

CIO

OCTOBER 1, 2024

Every organization follows some coding practices and guidelines. This necessitates continuous adaptation and innovation across various verticals, from data management and cybersecurity to software development and user experience design. Also, most of them have a set of secrets, variables and redundant strings in the code.

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