Flipboard

DECEMBER 5, 2023

San Francisco-based SuperDuperDB, an Intel Ignite portfolio company working to simplify how teams build and deploy AI apps, today released version 0.1 Available as a Python package, the framework allows users to integrate AI — from machine learning (ML) models to their … of its open-source framework.

Database 168

Database Machine Learning Machine Learning ML 168

insideBIGDATA

JUNE 4, 2024

Modern data pipeline platform provider Matillion today announced at Snowflake Data Cloud Summit 2024 that it is bringing no-code Generative AI (GenAI) to Snowflake users with new GenAI capabilities and integrations with Snowflake Cortex AI, Snowflake ML Functions, and support for Snowpark Container Services.

Data Pipeline 274

Data Pipeline ML ML AI 274

Data Science Dojo

APRIL 8, 2024

The modern era of generative AI is now talking about machine unlearning. This blog explores the impact of machine unlearning in improving the results of generative AI. During machine unlearning, an ML model discards previously learned information and or patterns from its knowledge base.

AI 243

AI AI Machine Learning Machine Learning 243

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.

ML 153

ML ML AWS AI 153

AWS Machine Learning Blog

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. Many commercial generative AI solutions available are expensive and require user-based licenses.

AWS 110

AWS AI AI ML 110

Flipboard

OCTOBER 25, 2023

However, with the help of AI and machine learning (ML), new software tools are now available to unearth the value of unstructured data. Additionally, we show how to use AWS AI/ML services for analyzing unstructured data. A metadata layer helps build the relationship between the raw data and AI extracted output.

AWS 167

AWS ML ML Analytics 167

Flipboard

JULY 4, 2023

Famous LLMs like GPT, BERT, PaLM, and LLaMa are revolutionizing the AI industry by imitating humans. What are Vector Databases? A new and unique type of database that is gaining immense popularity in the fields of AI and Machine Learning is the vector database.

Database 139

Database Machine Learning Machine Learning Natural Language Processing 139

AWS Machine Learning Blog

APRIL 29, 2025

Though their solution already streamlines municipal service delivery through AI-powered automation and omnichannel engagement, InterVision recognized an opportunity for further enhancement with advanced generative AI capabilities. The program follows a three-stage format designed to build practical generative AI capabilities.

AWS 101

AWS AI AI ML 101

Flipboard

DECEMBER 3, 2024

Syngenta and AWS collaborated to develop Cropwise AI , an innovative solution powered by Amazon Bedrock Agents , to accelerate their sales reps’ ability to place Syngenta seed products with growers across North America. Generative AI is reshaping businesses and unlocking new opportunities across various industries.

AWS 149

AWS AI AI Machine Learning 149

AWS Machine Learning Blog

APRIL 3, 2025

Thats why we at Amazon Web Services (AWS) are working on AI Workforcea system that uses drones and AI to make these inspections safer, faster, and more accurate. This post is the first in a three-part series exploring AI Workforce, the AWS AI-powered drone inspection system. What does AI Workforce look like in action?

AWS 112

AWS AI AI ML 112

Data Science Dojo

APRIL 25, 2023

It is a programming language used to manipulate data stored in relational databases. Here are some essential SQL concepts that every data scientist should know: First, understanding the syntax of SQL statements is essential in order to retrieve, modify or delete information from databases.

Data Scientist 370

Data Scientist SQL Machine Learning Machine Learning 370

AWS Machine Learning Blog

OCTOBER 24, 2024

Machine learning (ML) helps organizations to increase revenue, drive business growth, and reduce costs by optimizing core business functions such as supply and demand forecasting, customer churn prediction, credit risk scoring, pricing, predicting late shipments, and many others. Database name : Enter dev. Choose Add connection.

Data Warehouse 112

Data Warehouse Machine Learning Machine Learning Cloud Data 112

insideBIGDATA

JUNE 22, 2023

company (NASDAQ: AMZN), today announced the AWS Generative AI Innovation Center, a new program to help customers successfully build and deploy generative artificial intelligence (AI) solutions. (AWS), an Amazon.com, Inc.

AWS 244

AWS Artificial Intelligence Artificial Intelligence Machine Learning 244

AWS Machine Learning Blog

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. The following diagram illustrates the conceptual architecture of an AI assistant with Amazon Bedrock IDE.

AWS 106

AWS AI AI SQL 106

Flipboard

NOVEMBER 19, 2024

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon Web Services available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case.

AWS 152

AWS AI AI ML 152

Dataconomy

DECEMBER 18, 2024

AI is rapidly taking its place in the market, penetrating new application areas in ways we couldnt imagine, including AI cybersecurity solutions. The reason is clear: AIs potential for improving efficiency is almost limitless. The use of AI is evident on both sides of the barricades: by attackers and defenders alike.

AI 91

AI AI Machine Learning Machine Learning 91

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.

AWS 136

AWS ML ML AI 136

AWS Machine Learning Blog

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 gateway Shared components lie in this part.

AWS 112

AWS AI AI Machine Learning 112

Flipboard

JANUARY 24, 2025

A common use case with generative AI that we usually see customers evaluate for a production use case is a generative AI-powered assistant. If there are security risks that cant be clearly identified, then they cant be addressed, and that can halt the production deployment of the generative AI application.

AWS 160

AWS AI AI Data Warehouse 160

Flipboard

JANUARY 24, 2025

Overview of vector search and the OpenSearch Vector Engine Vector search is a technique that improves search quality by enabling similarity matching on content that has been encoded by machine learning (ML) models into vectors (numerical encodings). These benchmarks arent designed for evaluating ML models.

K-nearest Neighbors 145

K-nearest Neighbors ML ML Algorithm 145

Flipboard

APRIL 23, 2025

Retrieval Augmented Generation (RAG) applications have become increasingly popular due to their ability to enhance generative AI tasks with contextually relevant information. See the OWASP Top 10 for Large Language Model Applications to learn more about the unique security risks associated with generative AI applications.

AWS 151

AWS ML ML AI 151

Data Science Dojo

FEBRUARY 23, 2024

These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. However, unlike the common app stores, this platform is focused on making AI-powered solutions more accessible to different community members. What is OpenAI’s GPT Store?

Data Science 363

Data Science Data Analysis Data Analysis Machine Learning 363

AWS Machine Learning Blog

AUGUST 12, 2024

Instead, organizations are increasingly looking to take advantage of transformative technologies like machine learning (ML) and artificial intelligence (AI) to deliver innovative products, improve outcomes, and gain operational efficiencies at scale. Data is presented to the personas that need access using a unified interface.

ML 120

ML ML AWS AI 120

AWS Machine Learning Blog

OCTOBER 23, 2024

The landscape of enterprise application development is undergoing a seismic shift with the advent of generative AI. This intuitive platform enables the rapid development of AI-powered solutions such as conversational interfaces, document summarization tools, and content generation apps through a drag-and-drop interface.

AI 84

AI AI AWS Database 84

Flipboard

JANUARY 14, 2025

With the general availability of Amazon Bedrock Agents , you can rapidly develop generative AI applications to run multi-step tasks across a myriad of enterprise systems and data sources. This vector database will store the vector representations of your documents, serving as a key component of your local Knowledge Base.

AWS 152

AWS Database AI AI 152

AWS Machine Learning Blog

JANUARY 24, 2024

Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) with these solutions has become increasingly popular. The user query is used to retrieve relevant additional context from the vector database. Who has access to the data?

AWS 144

AWS Database AI AI 144

Flipboard

APRIL 21, 2025

Evaluation plays a central role in the generative AI application lifecycle, much like in traditional machine learning. Evaluation methods Prior to implementing evaluation processes for generative AI solutions, its crucial to establish clear metrics and criteria for assessment and gather an evaluation dataset.

AWS 148

AWS AI AI Machine Learning 148

Dataconomy

MARCH 3, 2025

Thanks to machine learning (ML) and artificial intelligence (AI), it is possible to predict cellular responses and extract meaningful insights without the need for exhaustive laboratory experiments. They introduce PERTURBQA , a benchmark designed to align AI-driven perturbation models with real biological decision-making.

AI 91

AI AI Clustering Machine Learning 91

AWS Machine Learning Blog

NOVEMBER 18, 2024

In this post, we explain how InsuranceDekho harnessed the power of generative AI using Amazon Bedrock and Anthropic’s Claude to provide responses to customer queries on policy coverages, exclusions, and more. The company’s mission is to make insurance transparent, accessible, and hassle-free for all customers through tech-driven solutions.

AI 107

AI AI Database AWS 107

AWS Machine Learning Blog

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.

AWS 112

AWS AI AI Data Scientist 112

AWS Machine Learning Blog

FEBRUARY 13, 2025

AI agents continue to gain momentum, as businesses use the power of generative AI to reinvent customer experiences and automate complex workflows. In this post, we explore how to build an application using Amazon Bedrock inline agents, demonstrating how a single AI assistant can adapt its capabilities dynamically based on user roles.

AI 92

AI AI AWS ML 92

Flipboard

APRIL 28, 2025

AI agents are quickly becoming an integral part of customer workflows across industries by automating complex tasks, enhancing decision-making, and streamlining operations. However, the adoption of AI agents in production systems requires scalable evaluation pipelines.

SQL 123

SQL AWS Database Machine Learning 123

Towards AI

FEBRUARY 21, 2024

Author(s): Alessandro Amenta Originally published on Towards AI. Image generated with DALL-E 3 In the fast-paced world of Machine Learning (ML) research, keeping up with the latest findings is crucial and exciting, but let’s be honest — it’s also a challenge. What’s the next big thing in ML?

ML 116

ML ML Machine Learning Machine Learning 116

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

Machine Learning 264

Machine Learning Machine Learning ML ML 264

AWS Machine Learning Blog

DECEMBER 3, 2024

New Relic is addressing these challenges by creating the New Relic AI custom plugin for Amazon Q Business. By using AI and New Relic’s comprehensive observability data, companies can help prevent issues, minimize incidents, reduce downtime, and maintain high-quality digital experiences. These outages can cost up to $1.9

AWS 105

AWS AI AI ML 105

Data Science Dojo

MAY 7, 2024

Artificial intelligence (AI) is driving technological development in the modern world, leading to automation, improved content generation, enhanced user experience, and much more. Using AI tools that range from complex programs used by data scientists to user-friendly apps for everyday tasks, AI is transforming the way we work.

AI 221

AI AI Data Scientist ML 221

Flipboard

DECEMBER 11, 2024

Second, because data, code, and other development artifacts like machine learning (ML) models are stored within different services, it can be cumbersome for users to understand how they interact with each other and make changes. SageMaker Unied Studio is an integrated development environment (IDE) for data, analytics, and AI.

SQL 160

SQL AWS Data Lakes AI 160