CIO

OCTOBER 24, 2023

The paradigm shift towards the cloud has dominated the technology landscape, providing organizations with stronger connectivity, efficiency, and scalability. In light of this, developer teams are beginning to turn to AI-enabled tools like large language models (LLMs) to simplify and automate tasks.

Artificial Inteligence 179

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AWS Machine Learning - AI

DECEMBER 4, 2024

Organizations can use these models securely, and for models that are compatible with the Amazon Bedrock Converse API, you can use the robust toolkit of Amazon Bedrock, including Amazon Bedrock Agents , Amazon Bedrock Knowledge Bases , Amazon Bedrock Guardrails , and Amazon Bedrock Flows. You can find him on LinkedIn.

Artificial Inteligence 101

Artificial Inteligence Microservices Generative AI AWS 101

CIO

APRIL 23, 2025

Modern AI models, particularly large language models, frequently require real-time data processing capabilities. The machine learning models would target and solve for one use case, but Gen AI has the capability to learn and address multiple use cases at scale.

Insurance 164

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AWS Machine Learning - AI

DECEMBER 2, 2024

In this post, we explore the new Container Caching feature for SageMaker inference, addressing the challenges of deploying and scaling large language models (LLMs). You’ll learn about the key benefits of Container Caching, including faster scaling, improved resource utilization, and potential cost savings.

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Generative AI Artificial Inteligence Machine Learning AWS 100

CIO

MARCH 14, 2025

But the increase in use of intelligent tools in recent years since the arrival of generative AI has begun to cement the CAIO role as a key tech executive position across a wide range of sectors. The role of artificial intelligence is very closely tied to generating efficiencies on an ongoing basis, as well as implying continuous adoption.

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Artificial Inteligence Artificial Intelligence Government Generative AI 194

CIO

NOVEMBER 12, 2024

The hunch was that there were a lot of Singaporeans out there learning about data science, AI, machine learning and Python on their own. Because a lot of Singaporeans and locals have been learning AI, machine learning, and Python on their own. I needed the ratio to be the other way around! And why that role?

Artificial Inteligence 174

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CIO

OCTOBER 24, 2024

TRECIG, a cybersecurity and IT consulting firm, will spend more on IT in 2025 as it invests more in advanced technologies such as artificial intelligence, machine learning, and cloud computing, says Roy Rucker Sr., CEO and president there. The company will still prioritize IT innovation, however.

Data Center 200

Data Center Artificial Inteligence Generative AI Artificial Intelligence 200

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.

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CIO

OCTOBER 20, 2024

The partnership is set to trial cutting-edge AI and machine learning solutions while exploring confidential compute technology for cloud deployments. Core42 equips organizations across the UAE and beyond with the infrastructure they need to take advantage of exciting technologies like AI, Machine Learning, and predictive analytics.

Organization 167

Organization Artificial Inteligence Machine Learning Infrastructure 167

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 115

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Xebia

APRIL 17, 2025

It also supports the newly announced Agent 2 Agent (A2A) protocol which Google is positioning as an open, secure standard for agent-agent collaboration, driven by a large community of Technology, Platform and Service partners. Native Multi-Agent Architecture: Build scalable applications by composing specialized agents in a hierarchy.

Google Cloud 147

Google Cloud Artificial Inteligence Cloud Video 147

AWS Machine Learning - AI

NOVEMBER 14, 2024

This innovative service goes beyond traditional trip planning methods, offering real-time interaction through a chat-based interface and maintaining scalability, reliability, and data security through AWS native services. An agent uses the power of an LLM to determine which function to execute, and output the result based on the prompt guide.

Artificial Inteligence 109

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AWS Machine Learning - AI

NOVEMBER 6, 2024

Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with expertise primarily in data science and machine learning. The Streamlit application will now display a button labeled Get LLM Response.

Generative AI 118

Generative AI AWS Artificial Inteligence Applications 118

AWS Machine Learning - AI

APRIL 23, 2025

National Laboratory has implemented an AI-driven document processing platform that integrates named entity recognition (NER) and large language models (LLMs) on Amazon SageMaker AI. In this post, we discuss how you can build an AI-powered document processing platform with open source NER and LLMs on SageMaker.

Artificial Inteligence 66

Artificial Inteligence Open Source AWS Serverless 66

CIO

APRIL 16, 2025

Artificial intelligence has contributed to complexity. Businesses now want to monitor large language models as well as applications to spot anomalies that may contribute to inaccuracies,bias, and slow performance. Support for a wide range of large language models in the cloud and on premises.

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Artificial Inteligence Artificial Intelligence Analysis Banking 88

CIO

DECEMBER 30, 2024

AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. AI and machine learning evolution Lalchandani anticipates a significant evolution in AI and machine learning by 2025, with these technologies becoming increasingly embedded across various sectors.

Trends 158

Trends Innovation IoT Disaster Recovery 158

Crunchbase News

OCTOBER 17, 2024

The startup uses light to link chips together and to do calculations for the deep learning necessary for AI. The Columbus, Ohio-based company currently has two robotic welding products in the market, both leveraging vision systems, artificial intelligence and machine learning to autonomously weld steel parts.

Data Center 121

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AWS Machine Learning - AI

NOVEMBER 26, 2024

The use of large language models (LLMs) and generative AI has exploded over the last year. With the release of powerful publicly available foundation models, tools for training, fine tuning and hosting your own LLM have also become democratized. model. , "temperature":0, "max_tokens": 128}' | jq '.choices[0].text'

Artificial Inteligence 99

Artificial Inteligence AWS Artificial Intelligence Generative AI 99

AWS Machine Learning - AI

DECEMBER 11, 2024

This pipeline is illustrated in the following figure and consists of several key components: QA generation, multifaceted evaluation, and intelligent revision. The evaluation process includes three phases: LLM-based guideline evaluation, rule-based checks, and a final evaluation. Sonnet in Amazon Bedrock.

Generative AI 83

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AWS Machine Learning - AI

APRIL 21, 2025

In this blog post, we discuss how Prompt Optimization improves the performance of large language models (LLMs) for intelligent text processing task in Yuewen Group. Evolution from Traditional NLP to LLM in Intelligent Text Processing Yuewen Group leverages AI for intelligent analysis of extensive web novel texts.

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Artificial Inteligence Groups Applications Innovation 65

AWS Machine Learning - AI

OCTOBER 16, 2024

As DPG Media grows, they need a more scalable way of capturing metadata that enhances the consumer experience on online video services and aids in understanding key content characteristics. The following were some initial challenges in automation: Language diversity – The services host both Dutch and English shows.

Media 115

Media Video Artificial Inteligence Generative AI 115

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 94

Artificial Inteligence AWS Machine Learning Load Balancer 94

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. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability.

Generative AI 109

Generative AI Video Engineering Artificial Inteligence 109

CIO

JANUARY 5, 2025

By leveraging AI technologies such as generative AI, machine learning (ML), natural language processing (NLP), and computer vision in combination with robotic process automation (RPA), process and task mining, low/no-code development, and process orchestration, organizations can create smarter and more efficient workflows.

Enterprise 187

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CIO

NOVEMBER 4, 2024

Artificial Intelligence (AI), a term once relegated to science fiction, is now driving an unprecedented revolution in business technology. AI applications rely heavily on secure data, models, and infrastructure. From nimble start-ups to global powerhouses, businesses are hailing AI as the next frontier of digital transformation.

Infrastructure 193

Infrastructure Marketing Data Artificial Inteligence 193

TechCrunch

NOVEMBER 16, 2020

Arrikto , a startup that wants to speed up the machine learning development lifecycle by allowing engineers and data scientists to treat data like code, is coming out of stealth today and announcing a $10 million Series A round. “We make it super easy to set up end-to-end machine learning pipelines. .

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Artificial Inteligence Machine Learning Open Source Software Development 280

AWS Machine Learning - AI

APRIL 16, 2025

Out-of-the-box models often lack the specific knowledge required for certain domains or organizational terminologies. To address this, businesses are turning to custom fine-tuned models, also known as domain-specific large language models (LLMs). You have the option to quantize the model.

Artificial Inteligence 89

Artificial Inteligence Generative AI AWS Storage 89

AWS Machine Learning - AI

OCTOBER 29, 2024

Although batch inference offers numerous benefits, it’s limited to 10 batch inference jobs submitted per model per Region. To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. This automatically deletes the deployed stack.

Scalability 121

Scalability Lambda Generative AI AWS 121

AWS Machine Learning - AI

NOVEMBER 7, 2024

You can also bring your own customized models and deploy them to Amazon Bedrock for supported architectures. Prompt catalog – Crafting effective prompts is important for guiding large language models (LLMs) to generate the desired outputs. It’s serverless so you don’t have to manage the infrastructure.

Generative AI 111

Generative AI AWS Enterprise Artificial Inteligence 111

CIO

DECEMBER 20, 2024

AI and machine learning models. According to data platform Acceldata , there are three core principles of data architecture: Scalability. Modern data architectures must be scalable to handle growing data volumes without compromising performance. Scalable data pipelines. Application programming interfaces.

Architecture 183

Architecture Data Fractional CTO Technical Review 183

TechCrunch

MARCH 30, 2023

Co-founder and CEO Matt Welsh describes it as the first enterprise-focused platform-as-a-service for building experiences with large language models (LLMs). “The core of Fixie is its LLM-powered agents that can be built by anyone and run anywhere.” Fixie agents can interact with databases, APIs (e.g.

Artificial Inteligence 255

Artificial Inteligence Company ChatGPT Generative AI 255

AWS Machine Learning - AI

MARCH 27, 2025

In contrast, the fulfillment Region is the Region that actually services the large language model (LLM) invocation request. This includes management, data transfer, encryption, network usage, and potential differences in price per million token per model.

Artificial Inteligence 111

Artificial Inteligence AWS Technical Review Policies 111

TechCrunch

MAY 24, 2022

Called Hugging Face Endpoints on Azure, Hugging Face co-founder and CEO Clément Delangue described it as a way to turn Hugging Face-developed AI models into “scalable production solutions.” ” “The mission of Hugging Face is to democratize good machine learning,” Delangue said in a press release.

Azure 246

Azure Artificial Inteligence Machine Learning Off-The-Shelf 246

Xebia

FEBRUARY 23, 2025

By boosting productivity and fostering innovation, human-AI collaboration will reshape workplaces, making operations more efficient, scalable, and adaptable. We observe that the skills, responsibilities, and tasks of data scientists and machine learning engineers are increasingly overlapping.

Trends 130

Trends Data Artificial Inteligence Weak Development Team 130

AWS Machine Learning - AI

NOVEMBER 1, 2024

This visibility is essential for setting accurate pricing for generative AI offerings, implementing chargebacks, and establishing usage-based billing models. Without a scalable approach to controlling costs, organizations risk unbudgeted usage and cost overruns. However, there are considerations to keep in mind.

Generative AI 138

Generative AI AWS Artificial Inteligence Budget 138

Dzone - DevOps

DECEMBER 31, 2024

MLOps, or Machine Learning Operations, is a set of practices that combine machine learning (ML), data engineering, and DevOps to streamline and automate the end-to-end ML model lifecycle. MLOps is an essential aspect of the current data science workflows.

Artificial Inteligence 96

Artificial Inteligence Machine Learning Scalability Data Engineering 96

Netflix Tech

MARCH 28, 2025

By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You. Refer to our recent overview for more details).

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