Dataconomy

FEBRUARY 6, 2024

With the ability to analyze a vast amount of data in real-time, identify patterns, and detect anomalies, AI/ML-powered tools are enhancing the operational efficiency of businesses in the IT sector. Why does AI/ML deserve to be the future of the modern world? Let’s understand the crucial role of AI/ML in the tech industry.

ML 121

ML ML Machine Learning Machine Learning 121

Flipboard

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.

AWS 106

AWS ML ML Natural Language Processing 106

Flipboard

JUNE 13, 2025

As artificial intelligence (AI) continues to transform industries—from healthcare and finance to entertainment and education—the demand for professionals who understand its inner workings is skyrocketing. Yet, navigating the world of AI can feel overwhelming, with its complex algorithms, vast datasets, and ever-evolving tools.

Artificial Intelligence 73

Artificial Intelligence Artificial Intelligence Exploratory Data Analysis Machine Learning 73

Flipboard

FEBRUARY 11, 2025

In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. By using Amazon Q Business, which simplifies the complexity of developing and managing ML infrastructure and models, the team rapidly deployed their chat solution.

AWS 152

AWS ML ML Machine Learning 152

Flipboard

JUNE 17, 2025

Generative AI has rapidly evolved from a novelty to a powerful driver of innovation. From summarizing complex legal documents to powering advanced chat-based assistants, AI capabilities are expanding at an increasing pace. Gartner predicts that 30% of generative AI projects will be abandoned in 2025.

Data Quality 131

Data Quality AWS AI AI 131

Pickl AI

DECEMBER 26, 2024

Summary: “Data Science in a Cloud World” highlights how cloud computing transforms Data Science by providing scalable, cost-effective solutions for big data, Machine Learning, and real-time analytics. In Data Science in a Cloud World, we explore how cloud computing has revolutionised Data Science.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

Towards AI

DECEMBER 26, 2024

Last Updated on December 27, 2024 by Editorial Team Author(s): Richard Warepam Originally published on Towards AI. 4 Things to Keep in Mind Before Deploying Your ML Models This member-only story is on us. medium.com Regardless of the project, it might be software development or ML Model building. Published via Towards AI

ML 111

ML ML Machine Learning Machine Learning 111

AWS Machine Learning Blog

JUNE 4, 2025

Prompt caching in Amazon Bedrock is now generally available, delivering performance and cost benefits for agentic AI applications. Youll discover how this makes AI-assisted coding not just more efficient, but also more economically viable for everyday development tasks. What is Claude Code?

AWS 122

AWS ML ML Machine Learning 122

Hacker News

NOVEMBER 19, 2024

About the Role TigerEye is an AI Analyst for everyone in go-to-market. We track the changes in a company’s business to deliver instant, accurate answers to complex questions through a simple app.

Computer Science 140

Computer Science Computer Science ML ML 140

Dataconomy

JUNE 16, 2023

Gamma AI is a great tool for those who are looking for an AI-powered cloud Data Loss Prevention (DLP) tool to protect Software-as-a-Service (SaaS) applications. Any organization’s cybersecurity plan must include data loss prevention (DLP), especially in the age of cloud computing and software as a service (SaaS).

AI 193

AI AI Natural Language Processing Data Classification 193

Dataconomy

MAY 9, 2025

This service model eliminates the need for significant upfront investments in infrastructure and expertise, allowing companies to leverage AI technologies such as Natural Language Processing and Computer Vision without the complexities of traditional development processes.

Machine Learning 91

Machine Learning Machine Learning Natural Language Processing Data Analysis 91

AWS Machine Learning Blog

MARCH 19, 2025

Generative AI is rapidly transforming the modern workplace, offering unprecedented capabilities that augment how we interact with text and data. By harnessing the latest advancements in generative AI, we empower employees to unlock new levels of efficiency and creativity within the tools they already use every day.

AWS 110

AWS AI AI Cloud Computing 110

Precisely

MAY 20, 2024

Cloud computing is more crucial than ever in 2024. With technology landscapes transforming at a breakneck pace, your ability to leverage cloud computing could be the game changer needed to boost efficiency and spark innovation in your business. Hybrid and multi-cloud adoption : The future is now, and it’s hybrid.

Cloud Computing 64

Cloud Computing ML ML Artificial Intelligence 64

Flipboard

APRIL 25, 2025

Generative AI , machine learning (ML) , and cloud technologies are revolutionizing the way we work. Embracing generative AI To help organizations and individuals harness the power of generative AI, AWS offers PartyRock , an intuitive platform where users can create functional applications using simple prompts.

AWS 65

AWS ML ML Natural Language Processing 65

Pickl AI

JANUARY 9, 2025

Summary: Cloud computing security architecture is essential for protecting sensitive data, ensuring compliance, and preventing threats. As technology advances, AI, machine learning, and blockchain play vital roles in strengthening cloud security frameworks to safeguard businesses against evolving risks. from 2024 to 2030.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning ML 52

Pickl AI

JANUARY 31, 2025

Summary: In this cloud computing notes we offers the numerous advantages for businesses, such as cost savings, scalability, enhanced collaboration, and improved security. Embracing cloud solutions can significantly enhance operational efficiency and drive innovation in today’s competitive landscape.

Cloud Computing 52

Cloud Computing Azure Artificial Intelligence Artificial Intelligence 52

Flipboard

MAY 16, 2025

With the rise of generative AI and knowledge extraction in AI systems, Retrieval Augmented Generation (RAG) has become a prominent tool for enhancing the accuracy and reliability of AI-generated responses. However, even with RAGs capabilities, the challenge of AI hallucinations remains a significant concern. Assistant: 0.05

AWS 102

AWS Cloud Computing Natural Language Processing AI 102

O'Reilly Media

NOVEMBER 26, 2024

The trend has only increased in the era of generative AI. CS departments have adapted well to AI, partly because AI originated in academia. But many jobs require skills that frequently aren’t taught in traditional CS departments, such as cloud development, Kubernetes, and microservices.

Cloud Computing 115

Cloud Computing AWS Azure Machine Learning 115

Data Science Dojo

FEBRUARY 20, 2023

Machine learning (ML) is the technology that automates tasks and provides insights. It comes in many forms, with a range of tools and platforms designed to make working with ML more efficient. It features an ML package with machine learning-specific APIs that enable the easy creation of ML models, training, and deployment.

Machine Learning 195

Machine Learning Machine Learning AWS Azure 195

AWS Machine Learning Blog

NOVEMBER 26, 2024

The AWS Neuron Monitor container , used with Prometheus and Grafana, provides advanced visualization of your ML application performance. To learn more about setting up and using these monitoring capabilities, see Scale and simplify ML workload monitoring on Amazon EKS with AWS Neuron Monitor container.

AWS 102

AWS Clustering ML ML 102

Flipboard

MAY 28, 2025

Simplifying the UI from the traditional human browser to a conversational AI assistant can enhance the user experience in the clinical research process. Generative AI is a promising next step in the evolutionary process of leading this change. Finally, we present instructions to deploy the service in your own AWS account.

SQL 93

SQL AWS AI AI 93

AWS Machine Learning Blog

MAY 28, 2025

AI-assistants boost productivity by automating routine data collection and processing tasks, surfacing relevant insights, and allowing analysts to focus on higher-value activities. However, a single AI agent struggles with complex, multistep investment research workflows to effectively handle the full spectrum of multiple specialized tasks.

AWS 100

AWS AI AI Computer Science 100

Dataversity

DECEMBER 3, 2021

As edge cloud computing, AI/ML, and IoT revolutionize computing, many enterprises are considering pulling back on data center operations in favor of cloud-based solutions.

Cloud Computing 98

Cloud Computing ML ML AI 98

Pickl AI

MARCH 1, 2023

What is Cloud Computing? Cloud computing is a way to use the internet to access different types of technology services. The term “cloud computing” was first used in a paper by computer scientist and mathematician Ramnath Chellappa in 1997.

Cloud Computing 52

Cloud Computing Internet of Things Database Artificial Intelligence 52

Pickl AI

APRIL 7, 2025

Summary: This blog explains the difference between cloud computing and grid computing in simple terms. Ideal for beginners and tech enthusiasts exploring modern computing trends. Introduction Welcome to our exploration, where we highlight the difference between cloud computing and grid computing.

Cloud Computing 52

Cloud Computing Data Science Big Data Analytics Big Data Analytics 52

Applied Data Science

AUGUST 2, 2021

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. Give this technique a try to take your team’s ML modelling to the next level. Download the free, unabridged version here.

Data Science 130

Data Science Data Scientist ML ML 130

AWS Machine Learning Blog

APRIL 7, 2025

These models are designed for industry-leading performance in image and text understanding with support for 12 languages, enabling the creation of AI applications that bridge language barriers. With SageMaker AI, you can streamline the entire model deployment process.

AWS 114

AWS Machine Learning Machine Learning ML 114

Pickl AI

JUNE 8, 2025

Summary: In 2025, data science evolves with trends like augmented analytics, IoT data explosion, advanced machine learning, automation, and explainable AI. Advanced AI and machine learning deepen data science capabilities and applications. Explainable AI ensures transparency, fairness, and trust in AI-driven decisions.

Data Science 52

Data Science Augmented Analytics Machine Learning Machine Learning 52

Dataconomy

MAY 2, 2023

What do machine learning engineers do: ML engineers design and develop machine learning models The responsibilities of a machine learning engineer entail developing, training, and maintaining machine learning systems, as well as performing statistical analyses to refine test results. Is ML engineering a stressful job?

ML 110

ML ML Machine Learning Machine Learning 110

Dataconomy

SEPTEMBER 1, 2024

In this era of modern business operations, cloud computing cannot be overlooked, thanks to its scalability, flexibility, and accessibility for data processing, storage, and application deployment. This raises a lot of security questions about the suitability of the cloud. These two intersect in many ways discussed below.

Machine Learning 103

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 103

AWS Machine Learning Blog

DECEMBER 18, 2024

AIs transformative impact extends throughout the modern business landscape, with telecommunications emerging as a key area of innovation. Fastweb , one of Italys leading telecommunications operators, recognized the immense potential of AI technologies early on and began investing in this area in 2019.

Clustering 100

Clustering AWS AI AI 100

AWS Machine Learning Blog

NOVEMBER 16, 2023

One of the key drivers of Philips’ innovation strategy is artificial intelligence (AI), which enables the creation of smart and personalized products and services that can improve health outcomes, enhance customer experience, and optimize operational efficiency.

ML 121

ML ML AWS AI 121

AWS Machine Learning Blog

SEPTEMBER 24, 2024

The rise of generative artificial intelligence (AI) has brought an inflection of foundation models (FMs). Goldman Sachs estimated that generative AI could automate 44% of legal tasks in the US. AWS AI and machine learning (ML) services help address these concerns within the industry.

AWS 102

AWS AI AI ML 102

Dataconomy

MARCH 19, 2025

These specialized processing units allow data scientists and AI practitioners to train complex models faster and at a larger scale than traditional hardware, propelling advancements in technologies like natural language processing, image recognition, and beyond.

Machine Learning 91

Machine Learning Machine Learning Natural Language Processing Deep Learning 91

AWS Machine Learning Blog

NOVEMBER 8, 2023

In this era of cloud computing, developers are now harnessing open source libraries and advanced processing power available to them to build out large-scale microservices that need to be operationally efficient, performant, and resilient. This can lead to higher latency and increased network bandwidth utilization.

AWS 125

AWS Cloud Computing ML ML 125

Flipboard

FEBRUARY 28, 2025

This post explores the architectural design and security concepts employed by Radboud University Medical Center Nijmegen (Radboudumc) to build a secure artificial intelligence (AI) runtime environment on Amazon Web Services (AWS). Challenge organizers provide test data, and participants submit AI algorithms for evaluation against this data.

Algorithm 65

Algorithm AWS AI AI 65

IBM Journey to AI blog

JUNE 5, 2024

SaaS takes advantage of cloud computing infrastructure and economies of scale to provide clients a more streamlined approach to adopting, using and paying for software. AI in SaaS analytics Most industries have had to reckon with AI proliferation and AI-driven business practices to some extent.

Analytics 94

Analytics Analytics ML ML 94