Flipboard

JANUARY 6, 2025

The agency wanted to use AI [artificial intelligence] and ML to automate document digitization, and it also needed help understanding each document it digitizes, says Duan. The demand for modernization is growing, and Precise can help government agencies adopt AI/ML technologies.

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Flipboard

NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. Data scientists and ML engineers require capable tooling and sufficient compute for their work.

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ML ML AWS AI 153

Dataconomy

MARCH 17, 2025

MinIO, a provider of high-performance object storage for AI, announced several upcoming enhancements to its AIStor product at NVIDIA GTC. These updates are designed to deepen MinIO’s support for the NVIDIA AI ecosystem and improve the efficiency and utilization of AI infrastructure. It will increase CPU efficiency.

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Data Lakes AI AI ML 91

Flipboard

MAY 30, 2025

Generative AI applications seem simpleinvoke a foundation model (FM) with the right context to generate a response. Many organizations have siloed generative AI initiatives, with development managed independently by various departments and lines of businesses (LOBs). This approach facilitates centralized governance and operations.

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AWS AI AI Database 141

AWS Machine Learning Blog

NOVEMBER 22, 2023

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. And although generative AI has appeared in previous events, this year we’re taking it to the next level. And although our track focuses on generative AI, many other tracks have related sessions.

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IBM Data Science in Practice

JANUARY 9, 2024

One groundbreaking technology that has emerged as a game-changer is asset performance management (APM) artificial intelligence (AI). However, embarking on the journey of implementing artificial intelligence (AI) in your asset performance management strategy can be both exciting and daunting.

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ML ML AI AI 130

Flipboard

MAY 14, 2025

According to a Gartner survey in 2024 , 58% of finance functions have adopted generative AI, marking a significant rise in adoption. Their information is split between two types of data: unstructured data (such as PDFs, HTML pages, and documents) and structured data (such as databases, data lakes, and real-time reports).

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AWS AI AI Database 143

Data Science Dojo

SEPTEMBER 10, 2024

LLM companies are businesses that specialize in developing and deploying Large Language Models (LLMs) and advanced machine learning (ML) models. Open AI In the rapidly evolving field of artificial intelligence, OpenAI stands out as a leading force in the LLM world. What are LLM Companies?

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Machine Learning Machine Learning Natural Language Processing ML 369

Flipboard

DECEMBER 11, 2024

Many of these applications are complex to build because they require collaboration across teams and the integration of data, tools, and services. Data engineers use data warehouses, data lakes, and analytics tools to load, transform, clean, and aggregate data.

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SQL AWS Data Lakes AI 160

Flipboard

MARCH 7, 2023

This post presents a solution that uses a workflow and AWS AI and machine learning (ML) services to provide actionable insights based on those transcripts. We use multiple AWS AI/ML services, such as Contact Lens for Amazon Connect and Amazon SageMaker , and utilize a combined architecture. Validation set 11 1500 0.82

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ML ML AWS AI 123

AWS Machine Learning Blog

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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AWS AI AI Database 103

Dataversity

MARCH 24, 2021

Enterprises migrating on-prem data environments to the cloud in pursuit of more robust, flexible, and integrated analytics and AI/ML capabilities are fueling a surge in cloud data lake implementations. The post How to Ensure Your New Cloud Data Lake Is Secure appeared first on DATAVERSITY.

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Data Lakes Cloud Data ML ML 59

Flipboard

NOVEMBER 27, 2024

His mission is to enable customers achieve their business goals and create value with data and AI. His mission is to enable customers achieve their business goals and create value with data and AI. Foundation models (FMs) on Amazon Bedrock provide powerful generative models for text and language tasks.

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AWS Database ML ML 149

AWS Machine Learning Blog

AUGUST 15, 2024

Starting today, you can interactively prepare large datasets, create end-to-end data flows, and invoke automated machine learning (AutoML) experiments on petabytes of data—a substantial leap from the previous 5 GB limit. Organizations often struggle to extract meaningful insights and value from their ever-growing volume of data.

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ML ML Data Preparation AWS 127

Flipboard

AUGUST 17, 2023

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. SageMaker Studio is the first fully integrated development environment (IDE) for ML. The next step is to build ML models using features selected from one or multiple feature groups.

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ML ML AWS Data Warehouse 123

ODSC - Open Data Science

JUNE 1, 2023

Real-Time ML with Spark and SBERT, AI Coding Assistants, Data Lake Vendors, and ODSC East Highlights Getting Up to Speed on Real-Time Machine Learning with Spark and SBERT Learn more about real-time machine learning by using this approach that uses Apache Spark and SBERT. Is an AI Coding Assistant Right For You?

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Data Lakes ML ML Citizen Data Scientist 52

AWS Machine Learning Blog

NOVEMBER 12, 2024

He is actively working on projects in the ML space and has presented at numerous conferences including Strata and GlueCon. He is focused on Big Data, Data Lakes, Streaming and batch Analytics services and generative AI technologies. Arghya Banerjee is a Sr. Varun Mehta is a Sr. Solutions Architect at AWS.

SQL 122

SQL AWS AI AI 122

AWS Machine Learning Blog

JANUARY 13, 2023

In 1992, Thomson Reuters (TR) released its first AI legal research service, WIN (Westlaw Is Natural), an innovation at the time, as most search engines only supported Boolean terms and connectors. With this tremendous increase of AI services, the next milestone for TR was to streamline innovation, and facilitate collaboration.

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ML ML AWS Data Scientist 98

AWS Machine Learning Blog

FEBRUARY 21, 2025

With the current housing shortage and affordability concerns, Rocket simplifies the homeownership process through an intuitive and AI-driven experience. Data exploration and model development were conducted using well-known machine learning (ML) tools such as Jupyter or Apache Zeppelin notebooks.

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Data Science AWS Hadoop Data Scientist 84

AWS Machine Learning Blog

AUGUST 8, 2024

As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads. Data is the foundational layer for all generative AI and ML applications. The following diagram illustrates the solution architecture.

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SQL Data Lakes Data Analyst AWS 130

AWS Machine Learning Blog

NOVEMBER 27, 2023

This post is co-authored by Daryl Martis, Director of Product, Salesforce Einstein AI. This is the third post in a series discussing the integration of Salesforce Data Cloud and Amazon SageMaker. SageMaker endpoints can be registered to the Salesforce Data Cloud to activate predictions in Salesforce.

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ML ML AWS SQL 109

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps).

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AI AI ML ML 128

AWS Machine Learning Blog

APRIL 3, 2025

At the heart of this transformation is the OMRON Data & Analytics Platform (ODAP), an innovative initiative designed to revolutionize how the company harnesses its data assets. The robust security features provided by Amazon S3, including encryption and durability, were used to provide data protection.

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AWS Data Governance Data Silos SQL 89

ODSC - Open Data Science

JUNE 7, 2023

To make your data management processes easier, here’s a primer on data lakes, and our picks for a few data lake vendors worth considering. What is a data lake? First, a data lake is a centralized repository that allows users or an organization to store and analyze large volumes of data.

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Data Lakes Azure Data Warehouse Hadoop 52

AWS Machine Learning Blog

AUGUST 21, 2024

Amazon DataZone is a data management service that makes it quick and convenient to catalog, discover, share, and govern data stored in AWS, on-premises, and third-party sources. Enterprises can use no-code ML solutions to streamline their operations and optimize their decision-making without extensive administrative overhead.

Machine Learning 123

Machine Learning Machine Learning Data Governance ML 123

AWS Machine Learning Blog

JUNE 18, 2024

This post presents a solution that uses a generative artificial intelligence (AI) to standardize air quality data from low-cost sensors in Africa, specifically addressing the air quality data integration problem of low-cost sensors. Qiong (Jo) Zhang , PhD, is a Senior Partner Solutions Architect at AWS, specializing in AI/ML.

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AWS AI AI Python 133

Towards AI

MARCH 28, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, I’m super excited to announce that we are finally releasing our book, ‘Building AI for Production; Enhancing LLM Abilities and Reliability with Fine-Tuning and RAG,’ where we gathered all our learnings.

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AI AI Data Lakes Azure 92

AWS Machine Learning Blog

AUGUST 4, 2023

This post is co-authored by Daryl Martis, Director of Product, Salesforce Einstein AI. This is the second post in a series discussing the integration of Salesforce Data Cloud and Amazon SageMaker. This completes the setup to enable data access from Salesforce Data Cloud to SageMaker Studio to build AI and machine learning (ML) models.

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ML ML AWS AI 98

AWS Machine Learning Blog

JULY 29, 2024

SageMaker endpoints can be registered with Salesforce Data Cloud to activate predictions in Salesforce. Requests and responses between Salesforce and Amazon Bedrock pass through the Einstein Trust Layer , which promotes responsible AI use across Salesforce.

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AWS AI AI ML 125

Flipboard

NOVEMBER 17, 2023

Generative AI models have the potential to revolutionize enterprise operations, but businesses must carefully consider how to harness their power while overcoming challenges such as safeguarding data and ensuring the quality of AI-generated content. This type of data is often used in ML and artificial intelligence applications.

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K-nearest Neighbors AWS Clustering Database 170

Data Science Connect

JULY 28, 2023

These platforms provide data engineers with the flexibility to develop and deploy IoT applications efficiently. Data Lakes for Centralized Storage Data lakes serve as centralized repositories for storing raw and processed IoT data.

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Internet of Things Data Engineer Data Engineering Data Engineering 130

AWS Machine Learning Blog

FEBRUARY 7, 2025

This post, part of the Governing the ML lifecycle at scale series ( Part 1 , Part 2 , Part 3 ), explains how to set up and govern a multi-account ML platform that addresses these challenges. An enterprise might have the following roles involved in the ML lifecycles. This ML platform provides several key benefits.

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ML ML Data Scientist AWS 65

AWS Machine Learning Blog

SEPTEMBER 27, 2024

Specifically, we cover the computer vision and artificial intelligence (AI) techniques used to combine datasets into a list of prioritized tasks for field teams to investigate and mitigate. Data preparation SageMaker Ground Truth employs a human workforce made up of Northpower volunteers to annotate a set of 10,000 images.

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AWS Data Lakes ML ML 122

IBM Journey to AI blog

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy. Why does AI need an open data lakehouse architecture?

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Data Lakes Data Warehouse AI AI 95

Flipboard

DECEMBER 18, 2023

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads. Discover how you can use Amazon Redshift to build a data mesh architecture to analyze your data.

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AWS Data Warehouse ETL SQL 139

AWS Machine Learning Blog

JUNE 21, 2024

To accomplish this, eSentire built AI Investigator, a natural language query tool for their customers to access security platform data by using AWS generative artificial intelligence (AI) capabilities. This helps customers quickly and seamlessly explore their security data and accelerate internal investigations.

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AWS AI AI Natural Language Processing 128

AWS Machine Learning Blog

APRIL 30, 2025

As generative AI revolutionizes industries, organizations are eager to harness its potential. Companies in EMEA have used AWS services to transform their operations and improve customer experience using generative AI, with their stories illustrating how a strong business case can lead to tangible results across various industry verticals.

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AWS AI AI Machine Learning 71