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.

Generative AI 101

Generative AI AWS Enterprise Artificial Inteligence 101

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. In the context of Amazon Bedrock , observability and evaluation become even more crucial.

Generative AI 99

Generative AI Applications AWS Knowledge Base 99

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.

Generative AI 111

Generative AI AWS Groups Artificial Inteligence 111

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. All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers.

Generative AI 101

Generative AI Video Engineering Artificial Inteligence 101

CIO

DECEMBER 10, 2024

Instead, CIOs must partner with CMOs and other business leaders to help quantify where gen AI can drive other strategic impacts especially those directly connected to the bottom line. CIOs should return to basics, zero in on metrics that will improve through gen AI investments, and estimate targets and timeframes.

Weak Development Team 215

Weak Development Team Metrics Software Review Technical Review 215

TechEmpower CTO

NOVEMBER 13, 2023

This isn’t just our opinion - our startup metrics prove it! On a different project, we’d just used a Large Language Model (LLM) - in this case OpenAI’s GPT - to provide users with pre-filled text boxes, with content based on choices they’d previously made. Everyone struggles with empty text boxes.

Generative AI 295

Generative AI Artificial Inteligence Real Estate Education 295

AWS Machine Learning - AI

DECEMBER 4, 2024

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. Building a generative AI application SageMaker Unified Studio offers tools to discover and build with generative AI.

Generative AI 96

Generative AI Applications Technical Review Software Review 96

AWS Machine Learning - AI

APRIL 10, 2025

The introduction of Amazon Nova models represent a significant advancement in the field of AI, offering new opportunities for large language model (LLM) optimization. In this post, we demonstrate how to effectively perform model customization and RAG with Amazon Nova models as a baseline.

Case Study 102

Case Study Artificial Inteligence Study Generative AI 102

CIO

NOVEMBER 13, 2024

One is going through the big areas where we have operational services and look at every process to be optimized using artificial intelligence and large language models. And the second is deploying what we call LLM Suite to almost every employee. “We’re doing two things,” he says.

Weak Development Team 212

Weak Development Team Artificial Inteligence Technical Review Generative AI 212

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.

Artificial Inteligence 99

Artificial Inteligence Generative AI Travel AWS 99

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. A lower WER indicates a more accurate transcription.

Media 106

Media Video Artificial Inteligence Generative AI 106

AWS Machine Learning - AI

FEBRUARY 12, 2025

Large language models (LLMs) have revolutionized the field of natural language processing with their ability to understand and generate humanlike text. Researchers developed Medusa , a framework to speed up LLM inference by adding extra heads to predict multiple tokens simultaneously.

Artificial Inteligence 73

Artificial Inteligence Training AWS Machine Learning 73

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.

Artificial Inteligence 105

Artificial Inteligence Applications Knowledge Base Generative AI 105

CIO

OCTOBER 10, 2024

Technologies such as artificial intelligence (AI), generative AI (genAI) and blockchain are revolutionizing operations. Aligning IT operations with ESG metrics: CIOs need to ensure that technology systems are energy-efficient and contribute to reducing the company’s carbon footprint.

Sustainability 187

Sustainability Innovation Blockchain Energy 187

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.

Generative AI 73

Generative AI Systems Review Software Review Artificial Inteligence 73

CIO

NOVEMBER 15, 2023

Competition among software vendors to be “the” platform on which enterprises build their IT infrastructure is intensifying, with the focus of late on how much noise they can make about their implementation of generative AI features. One reason we’re releasing early is because we’re ready,” says ServiceNow CIO Chris Bedi.

Generative AI 202

Generative AI Artificial Inteligence Technical Advisors Weak Development Team 202

AWS Machine Learning - AI

FEBRUARY 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. Monitoring the performance and behavior of LLMs is a critical task for ensuring their safety and effectiveness.

Artificial Inteligence 125

Artificial Inteligence AWS Lambda Metrics 125

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.

Generative AI 76

Generative AI Organization Enterprise Artificial Inteligence 76

AWS Machine Learning - AI

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications.

Artificial Inteligence 86

Artificial Inteligence Generative AI Training Metrics 86

CIO

NOVEMBER 12, 2024

By Bryan Kirschner, Vice President, Strategy at DataStax From the Wall Street Journal to the World Economic Forum , it seems like everyone is talking about the urgency of demonstrating ROI from generative AI (genAI). Make ‘soft metrics’ matter Imagine an experienced manager with an “open door policy.”

Generative AI 109

Generative AI ChatGPT Meeting Metrics 109

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. Security and governance Generative AI is very new technology and brings with it new challenges related to security and compliance.

Generative AI 78

Generative AI Technical Review Insurance Policies 78

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.

Artificial Inteligence 127

Artificial Inteligence Construction Open Source Training 127

CIO

JUNE 28, 2023

When you create an app bundle, AppFabric creates the required AWS Identity and Access Management (IAM) role in your AWS account, which is required to send metrics to Amazon CloudWatch and to access AWS resources such as Amazon Simple Storage Service (Amazon S3) and Amazon Kinesis Data Firehose,” AWS wrote in a blog post.

Generative AI 204

Generative AI AWS Artificial Inteligence Enterprise 204

CIO

DECEMBER 6, 2023

Many enterprises are accelerating their artificial intelligence (AI) plans, and in particular moving quickly to stand up a full generative AI (GenAI) organization, tech stacks, projects, and governance. For readers short on time, you can skip to the section titled Strategies for effective LLM orchestration.

Artificial Inteligence 138

Artificial Inteligence Generative AI Enterprise Scalability 138

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.

Generative AI 70

Generative AI Artificial Inteligence Metrics AWS 70

CIO

JANUARY 14, 2025

What are we trying to accomplish, and is AI truly a fit? ChatGPT set off a burst of excitement when it came onto the scene in fall 2022, and with that excitement came a rush to implement not only generative AI but all kinds of intelligence. What ROI will AI deliver? She advises others to take a similar approach.

Strategy 211

Strategy Fractional CTO Technical Advisors Generative AI 211

CIO

SEPTEMBER 13, 2023

Generative AI will soon be everywhere — including in Salesforce’s Net Zero Cloud environmental, social, and governance (ESG) reporting tool. Net Zero Cloud uses data held within the Salesforce platform to help enterprises report on their carbon footprint and manage other social and governance metrics.

Generative AI 192

Generative AI .Net Report Artificial Inteligence 192

CIO

SEPTEMBER 15, 2023

Salesforce is looking at a large recruitment drive as it plans to invest in new areas such as generative AI and push some of its popular products, such as the Data Cloud, CEO Marc Benioff, and chief operating officer Brian Millham told Bloomberg in an interview.

Generative AI 199

Generative AI Technical Review Artificial Inteligence Software Review 199

CIO

MAY 1, 2024

Is generative AI so important that you need to buy customized keyboards or hire a new chief AI officer, or is all the inflated excitement and investment not yet generating much in the way of returns for organizations? Is gen AI failing? Pilots can offer value beyond just experimentation, of course.

Generative AI 215

Generative AI Artificial Inteligence Metrics Training 215

AWS Machine Learning - AI

MARCH 14, 2025

Organizations building and deploying AI applications, particularly those using large language models (LLMs) with Retrieval Augmented Generation (RAG) systems, face a significant challenge: how to evaluate AI outputs effectively throughout the application lifecycle.

Knowledge Base 85

Knowledge Base Applications Artificial Inteligence Generative AI 85

AWS Machine Learning - AI

MARCH 13, 2025

DeepSeek-R1 , developed by AI startup DeepSeek AI , is an advanced large language model (LLM) distinguished by its innovative, multi-stage training process. Instead of relying solely on traditional pre-training and fine-tuning, DeepSeek-R1 integrates reinforcement learning to achieve more refined outputs.

Artificial Inteligence 83

Artificial Inteligence AWS Machine Learning Load Balancer 83

Xebia

FEBRUARY 23, 2025

We observe that the skills, responsibilities, and tasks of data scientists and machine learning engineers are increasingly overlapping. The real challenge in 2025 is using AI effectively and responsibly, which is where LLMOps (LLM Operations) comes in. It’s the toolkit for reliable, safe, and value-generating AI.

Trends 130

Trends Data Artificial Inteligence Weak Development Team 130

AWS Machine Learning - AI

FEBRUARY 6, 2024

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions. The training jobs used an ml.p3dn.24xlarge

Artificial Inteligence 110

Artificial Inteligence Pharmaceuticals Healthcare AWS 110

AWS Machine Learning - AI

JANUARY 29, 2025

Open foundation models (FMs) have become a cornerstone of generative AI innovation, enabling organizations to build and customize AI applications while maintaining control over their costs and deployment strategies. Review the model response and metrics provided. You can monitor costs with AWS Cost Explorer.

Generative AI 118

Generative AI Artificial Inteligence AWS Serverless 118

AWS Machine Learning - AI

APRIL 10, 2025

To assess system reliability, engineering teams often rely on key metrics such as mean time between failures (MTBF), which measures the average operational time between hardware failures and serves as a valuable indicator of system robustness. SageMaker HyperPod runs health monitoring agents in the background for each instance.

Training 95

Training Artificial Inteligence Hardware Systems Review 95

CIO

NOVEMBER 27, 2024

Common data management practices are too slow, structured, and rigid for AI where data cleaning needs to be context-specific and tailored to the particular use case. For AI, there’s no universal standard for when data is ‘clean enough.’ In the generative AI world, the notion of accuracy is much more nebulous.”

Data 211

Data Enterprise Weak Development Team Software Review 211