AWS Machine Learning Blog

JUNE 11, 2025

To address these challenges, Adobe partnered with the AWS Generative AI Innovation Center , using Amazon Bedrock Knowledge Bases and the Vector Engine for Amazon OpenSearch Serverless. This involved creating a pipeline for data ingestion, preprocessing, metadata extraction, and indexing in a vector database.

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Snorkel AI

JULY 10, 2025

To see how top AI models performed on these tasks, read our companion post: Evaluating AI Agents for Insurance Underwriting. The value proposition in enterprise scenarios is strong—but AI agents in these settings are often inaccurate and inefficient. We wrapped up each AI model we benchmarked as a ReAct agent.

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Flipboard

NOVEMBER 15, 2024

By harnessing the capabilities of generative AI, you can automate the generation of comprehensive metadata descriptions for your data assets based on their documentation, enhancing discoverability, understanding, and the overall data governance within your AWS Cloud environment. Fetch information for the database tables from the Data Catalog.

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Hacker News

JULY 1, 2025

In 2012, researchers proved that no deterministic algorithm can improve on log 2 n. 35 th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems (PODS) , pages 289-302, June 2016. 44 th annual ACM Symposium on Theory of Computing (STOC) , pages 1185-1198, 2012. Further Reading Bender, M. Bulánek, J.

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Flipboard

MARCH 21, 2025

SageMaker Unified Studio provides a unified experience for using data, analytics, and AI capabilities. You can use familiar AWS services for model development, generative AI, data processing, and analyticsall within a single, governed environment. You will see a new database dev@ in the managed Amazon Redshift Serverless workgroup.

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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.

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Snorkel AI

JUNE 26, 2025

Motivation Our agent-based insurance benchmark was motivated by observations we have made working with customers and in the field of AI more generally: The past 9-12 months have witnessed an explosion in agents and models capable of interacting with larger ecosystems via tool use. We wrapped up each AI model we benchmarked as a ReAct agent.

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Snorkel AI

JUNE 26, 2025

However, AI agents in enterprise settings are often inaccurate and inefficient —with test-time compute that is larger than necessary. Research and development in the AI field have largely focused on easily verifiable settings like coding and math, and simple, generic use cases where off-the-shelf checks suffice.

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Hacker News

JUNE 25, 2025

The Open Energy Profiler Toolset (OpenEPT) ecosystem will provide diverse hardware solutions, a user-friendly interface encapsulated in a GUI application, and a collaborative database infrastructure that brings together engineers and researchers to drive innovations in the field of battery-powered technologies. Please come back soon!

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Hacker News

JUNE 29, 2025

reply egypturnash 21 minutes ago | prev | next [–] Figuring out the plot and character designs for the next chapter of my graphic novel about a utopia run by AIs who have found that taking the form of unctuous, glazing clowns is the best way to get humans to behave in ways that fulfil the AI's reward functions. Name is pending.

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IBM Data Science in Practice

MARCH 8, 2023

The United States published a Blueprint for the AI Bill of Rights. The growth of the AI and Machine Learning (ML) industry has continued to grow at a rapid rate over recent years. Source: A Chat with Andrew on MLOps: From Model-centric to Data-centric AI So how does this data-centric approach fit in with Machine Learning? — Features

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AWS Machine Learning Blog

OCTOBER 30, 2023

It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure. You can choose from various FMs from Amazon and leading AI startups such as AI21 Labs, Anthropic, Cohere, and Stability AI to find the model that’s best suited for your use case.

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AWS Machine Learning Blog

APRIL 16, 2024

For example, you can visually explore data sources like databases, tables, and schemas directly from your JupyterLab ecosystem. After you have set up connections (illustrated in the next section), you can list data connections, browse databases and tables, and inspect schemas. This new feature enables you to perform various functions.

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ODSC - Open Data Science

FEBRUARY 28, 2023

We couldn’t be more excited to announce our first group of partners for ODSC East 2023’s AI Expo and Demo Hall. These organizations are shaping the future of the AI and data science industries with their innovative products and services. SAS One of the most experienced AI leaders, SAS delivers AI solutions to enhance human ingenuity.

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AWS Machine Learning Blog

SEPTEMBER 3, 2024

From deriving insights to powering generative artificial intelligence (AI) -driven applications, the ability to efficiently process and analyze large datasets is a vital capability. Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. elasticmapreduce", "arn:aws:s3:::*.elasticmapreduce/*"

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Dataconomy

AUGUST 10, 2023

The healthcare industry is rapidly evolving and the role of technology, like AI medical scribes, has never been more pronounced. Among the emerging innovations that are transforming medical practice is the integration of AI medical scribes. What is an AI medical scribe? Can AI write medical notes?

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AWS Machine Learning Blog

MARCH 15, 2024

Fortunately, with the advent of generative AI and large language models (LLMs) , it’s now possible to create automated systems that can handle natural language efficiently, and with an accelerated on-ramping timeline. She is a member of AI/ML community and a Generative AI expert at AWS. awscli>=1.29.57 botocore>=1.31.57

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AWS Machine Learning Blog

JULY 17, 2023

The SourceIdentity attribute is used to tie the identity of the original SageMaker Studio user to the Amazon Redshift database user. The actions by the user in the producer account can then be monitored using CloudTrail and Amazon Redshift database audit logs. She helps key customer accounts on their AI and ML journey.

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AWS Machine Learning Blog

APRIL 16, 2024

Amazon Lex is a fully managed artificial intelligence (AI) service with advanced natural language models to design, build, test, and deploy conversational interfaces in applications. Similarly, you can use a Lambda function for fulfillment as well, for example writing data to databases or calling APIs save the collected information.

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Flipboard

AUGUST 17, 2023

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and ML to deliver the best price-performance at any scale. Sherry Ding is a Senior AI/ML Specialist Solutions Architect.

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phData

MAY 17, 2024

USE ROLE admin; GRANT USAGE ON DATABASE admin_db TO ROLE analyst; GRANT USAGE ON SCHEMA admin_schema TO ROLE analyst; GRANT CREATE SNOWFLAKE.ML.FORECAST ON SCHEMA admin_db.admin_schema TO ROLE analyst; Next, let’s create the table to house the historical data in our Walmart Demand Forecasting. Explore phData's Generative AI Services Today!

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AWS Machine Learning Blog

MAY 17, 2023

Facies classification using AI and machine learning (ML) has become an increasingly popular area of investigation for many oil majors. An existing database within Snowflake. Upload facies CSV data to Snowflake In this section, we take two open-source datasets and upload them directly from our local machine to a Snowflake database.

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DataRobot

SEPTEMBER 14, 2021

Time and time again, we hear about the need for AI to support cross-functional teams and users. To offer the flexibility to deploy AI solutions anywhere. To support the need to connect AI-driven decisions directly with existing business applications and services, like Snowflake, Salesforce, and ServiceNow.

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IBM Journey to AI blog

JANUARY 10, 2023

Netezza Performance Server (NPS) has recently added the ability to access Parquet files by defining a Parquet file as an external table in the database. All SQL and Python code is executed against the NPS database using Jupyter notebooks, which capture query output and graphing of results during the analysis phase of the demonstration.

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AWS Machine Learning Blog

JULY 2, 2024

Knowledge bases effectively bridge the gap between the broad knowledge encapsulated within foundation models and the specialized, domain-specific information that businesses possess, enabling a truly customized and valuable generative artificial intelligence (AI) experience.

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AWS Machine Learning Blog

MAY 8, 2023

Deploys an Amazon Aurora Serverless database for the data store and Amazon Simple Storage Service (Amazon S3) for the artifact store. A common approach involves separate accounts dedicated to different phases of the AI/ML workflow (experimentation, development, and production).

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AWS Machine Learning Blog

JULY 14, 2025

Data is your generative AI differentiator, and successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Use case overview As an example, consider a RAG-based generative AI application. Extract, transform, and load multimodal data assets into a vector store.

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ODSC - Open Data Science

FEBRUARY 13, 2024

In 2012, records show there were 447 data breaches in the United States. EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI.

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Mlearning.ai

JUNE 14, 2023

Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1)

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IBM Journey to AI blog

MARCH 29, 2024

GraphQL GraphQL is a query language and API runtime that Facebook developed internally in 2012 before it became open source in 2015. The resolver provides instructions for turning GraphQL queries, mutations, and subscriptions into data, and retrieves data from databases, cloud services, and other sources. appeared first on IBM Blog.

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AWS Machine Learning Blog

JUNE 19, 2023

Alternatively, you can adopt a naming standard for IAM role ARNs based on the AD group name and derive the IAM role ARN without needing to store the mapping in an external database. In her 4 years at AWS, she has helped set up AI/ML platforms for enterprise customers.

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AssemblyAI

AUGUST 15, 2023

Around 2012 to 2014, developers proposed updating these modules, but were told to use third party libraries instead. Actions include dedicating a host for the data team, database tuning, and improving demand on the database. However, over time these modules became outdated. More work is needed to determine the best solutions.

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The MLOps Blog

JANUARY 11, 2023

If the machine learning tasks required by your use cases can be implemented using AI services, then you don’t need an MLOps solution. RedShift , the data source and can be backend-connected to other sources and databases or replaced by any other type of data source like S3 buckets or DynamoDB.

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Heartbeat

DECEMBER 8, 2023

A Guide to Enhancing AI with Strategic Decision-Making and Tool Integration Photo by julien Tromeur on Unsplash Agents in LangChain Agents in LangChain are systems that use a language model to interact with other tools. Question: {input} Thought:{agent_scratchpad} query = """ Who is the current Chief AI Scientist at Meta AI?

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

And finally, some activities, such as those involved with the latest advances in artificial intelligence (AI), are simply not practically possible, without hardware acceleration. in 2012 is now widely referred to as ML’s “Cambrian Explosion.” ML is often associated with PBAs, so we start this post with an illustrative figure.

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Hacker News

JANUARY 9, 2024

By the way, in modern times we need to explain the Wolfram Language not just to humans, but also to AIs—and our very extensive documentation and examples have proved extremely valuable in training LLMs to use the Wolfram Language. For now it was not only humans who’d need the tools we’d built; it was also AIs. of “ Chat Notebooks ”.

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DrivenData Labs

SEPTEMBER 10, 2024

Many teams combined technical skills in AI/ML with domain knowledge in neuroscience, aging, or healthcare. Chattopadhyay leads innovative research at the intersection of AI and healthcare, developing predictive models and AI-driven tools to address complex medical challenges.

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