News from the AI & ML world
DeeperML
Heng Chi@AI Accelerator Institute
//
AI is revolutionizing data management and analytics across various platforms. Amazon Web Services (AWS) is facilitating the development of high-performance data pipelines for AI and Natural Language Processing (NLP) applications, utilizing services like Amazon S3, AWS Lambda, AWS Glue, and Amazon SageMaker. These pipelines are essential for ingesting, processing, and providing output for training, inference, and decision-making at a large scale, leveraging AWS's scalability, flexibility, and cost-efficiency. AWS's auto-scaling options, seamless integration with ML and NLP workflows, and pay-as-you-go pricing model make it a preferred choice for businesses of all sizes.
Microsoft is simplifying data visualization with its new AI-powered tool, Data Formulator. This open-source application, developed by Microsoft Research, uses Large Language Models (LLMs) to transform data into interesting charts and graphs, even for users without extensive data manipulation and visualization knowledge. Data Formulator differentiates itself with its intuitive user interface and hybrid interactions, bridging the gap between visualization ideas and their actual creation. By supplementing natural language inputs with drag-and-drop interactions, it allows users to express visualization intent, with the AI handling the complex transformations in the background.
Yandex has released Yambda, the world's largest publicly available event dataset, to accelerate recommender systems research and development. This dataset contains nearly 5 billion anonymized user interaction events from Yandex Music, offering a valuable resource for bridging the gap between academic research and industry-scale applications. Yambda addresses the scarcity of large, openly accessible datasets in the field of recommender systems, which has traditionally lagged behind other AI domains due to the sensitive nature and commercial value of behavioral data. Additionally, Dremio is collaborating with Confluent’s TableFlow to provide real-time analytics on Apache Iceberg data, enabling users to stream data from Kafka into queryable tables without manual pipelines, accelerating insights and reducing ETL complexity.
ImgSrc: www.aiaccelerat
References :
Microsoft is simplifying data visualization with its new AI-powered tool, Data Formulator. This open-source application, developed by Microsoft Research, uses Large Language Models (LLMs) to transform data into interesting charts and graphs, even for users without extensive data manipulation and visualization knowledge. Data Formulator differentiates itself with its intuitive user interface and hybrid interactions, bridging the gap between visualization ideas and their actual creation. By supplementing natural language inputs with drag-and-drop interactions, it allows users to express visualization intent, with the AI handling the complex transformations in the background.
Yandex has released Yambda, the world's largest publicly available event dataset, to accelerate recommender systems research and development. This dataset contains nearly 5 billion anonymized user interaction events from Yandex Music, offering a valuable resource for bridging the gap between academic research and industry-scale applications. Yambda addresses the scarcity of large, openly accessible datasets in the field of recommender systems, which has traditionally lagged behind other AI domains due to the sensitive nature and commercial value of behavioral data. Additionally, Dremio is collaborating with Confluent’s TableFlow to provide real-time analytics on Apache Iceberg data, enabling users to stream data from Kafka into queryable tables without manual pipelines, accelerating insights and reducing ETL complexity.
ImgSrc: www.aiaccelerat
Share:
References :
- insideAI News: NVIDIA and AMD Devising Export Rules-Compliant Chips for China AI Market
- futurumgroup.com: Can Dell and NVIDIA’s AI Factory 2.0 Solve Enterprise-Scale AI Infrastructure Gaps?
- TechHQ: Dell to build Nvidia Vera Rubin supercomputer for US Energy Department
- techhq.com: Dell to build Nvidia Vera Rubin supercomputer for US Energy Department
- futurumgroup.com: Can Dell Challenge Public Cloud AI with Its Expanded AI Factory?
- insidehpc.com: DOE Announces “Doudna� Dell-NVIDIA Supercomputer at NERSC
- techxplore.com: US supercomputer named after Nobel laureate Jennifer Doudna to power AI and scientific research
- AI Accelerator Institute: Building efficient data pipelines for AI and NLP applications in AWS
- www.dremio.com: Using Dremio with Confluent’s TableFlow for Real-Time Apache Iceberg Analytics
- www.marktechpost.com: Yandex Releases Yambda: The World’s Largest Event Dataset to Accelerate Recommender Systems
Classification:
- HashTags: #DataPipelines #AIMetadata #DataAnalytics
- Target: Data Scientists, Analysts
- Product: Data Pipelines, Data Formulator
- Feature: Data Pipelines
- Type: AI
- Severity: Informative