ODSC - Open Data Science

JULY 19, 2023

Machine Learning Operations (MLOps) can significantly accelerate how data scientists and ML engineers meet organizational needs. A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team.

Machine Learning 52

Machine Learning Data Drift Data Science Data Scientist 52

AWS Machine Learning Blog

JUNE 18, 2024

More than 170 tech teams used the latest cloud, machine learning and artificial intelligence technologies to build 33 solutions. This manual synchronization process, hindered by disparate data formats, is resource-intensive, limiting the potential for widespread data orchestration.

Generative AI 119

Generative AI Data Ingestion Python LLM 119

Unite.AI

JUNE 4, 2024

A deep understanding of the cloud platform. We know Google Cloud inside and out, including key areas like data cloud, machine learning, AI, and Kubernetes. Although migration work is a key component of our business, it’s the data platform engagements that really stand out when you’re talking about value to the business.

Data Ingestion 130

Data Ingestion Data Platform Machine Learning Generative AI 130

AWS Machine Learning Blog

DECEMBER 18, 2023

MongoDB’s robust time series data management allows for the storage and retrieval of large volumes of time-series data in real-time, while advanced machine learning algorithms and predictive capabilities provide accurate and dynamic forecasting models with SageMaker Canvas.

Data Extraction 120

Data Extraction Data Ingestion ML Machine Learning 120

AWS Machine Learning Blog

NOVEMBER 15, 2023

Combining accurate transcripts with Genesys CTR files, Principal could properly identify the speakers, categorize the calls into groups, analyze agent performance, identify upsell opportunities, and conduct additional machine learning (ML)-powered analytics.

Data Ingestion 118

Data Ingestion Metadata NLP Data Scientist 118

Snorkel AI

JANUARY 8, 2025

In todays fast-paced AI landscape, seamless integration between data platforms and AI development tools is critical. At Snorkel, weve partnered with Databricks to create a powerful synergy between their data lakehouse and our Snorkel Flow AI data development platform.

AI Development 52

AI Development AI Developer Data Ingestion LLM 52

AWS Machine Learning Blog

MARCH 29, 2023

there is enormous potential to use machine learning (ML) for quality prediction. Data ingestion HAYAT HOLDING has a state-of-the art infrastructure for acquiring, recording, analyzing, and processing measurement data. Two types of data sources exist for this use case. Hayat” means “life” in Turkish.

ML 86

ML Machine Learning Algorithm Data Scientist 86

Pickl AI

DECEMBER 16, 2024

Whether you aim for comprehensive data integration or impactful visual insights, this comparison will clarify the best fit for your goals. Key Takeaways Microsoft Fabric is a full-scale data platform, while Power BI focuses on visualising insights. Its strength lies in visualising and analysing data rather than managing it.

ETL 52

ETL Data Ingestion Data Integration Machine Learning 52

Pickl AI

OCTOBER 10, 2024

Summary: Data transformation tools streamline data processing by automating the conversion of raw data into usable formats. These tools enhance efficiency, improve data quality, and support Advanced Analytics like Machine Learning. Aggregation : Combining multiple data points into a single summary (e.g.,

ETL 52

ETL Data Quality Machine Learning Business Intelligence 52

Mlearning.ai

FEBRUARY 16, 2023

Arranging Efficient Data Streams Modern companies typically receive data from multiple sources. Therefore, quick data ingestion for instant use can be challenging. Machine Learning Integration Opportunities Organizations harness machine learning (ML) algorithms to make forecasts on the data.

Business Intelligence 52

Business Intelligence Data Ingestion Metadata Machine Learning 52

Pickl AI

JUNE 29, 2023

Advantages of Using Splunk Real-time Visibility One of the significant advantages of Splunk is its ability to provide real-time data visibility. Thus, it lets users gain insights from vast data in real time. Additionally, it also supports a host of data formats. Thereby enabling faster decision-making and problem-solving.

Big Data 52

Big Data DevOps Data Analysis Machine Learning 52

The MLOps Blog

MARCH 12, 2024

Tools range from data platforms to vector databases, embedding providers, fine-tuning platforms, prompt engineering, evaluation tools, orchestration frameworks, observability platforms, and LLM API gateways. Model adaptation If employed, it typically focuses on transfer learning and retraining.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Large Language Models LLM 52

The MLOps Blog

MARCH 15, 2023

A typical data pipeline involves the following steps or processes through which the data passes before being consumed by a downstream process, such as an ML model training process. Data Ingestion : Involves raw data collection from origin and storage using architectures such as batch, streaming or event-driven.

Categorization 59

Categorization ETL Data Integration Automation 59

The MLOps Blog

MARCH 21, 2023

Moving across the typical machine learning lifecycle can be a nightmare. From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. How to understand your users (data scientists, ML engineers, etc.).

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69

Bugra Akyildiz

FEBRUARY 24, 2024

Enter real-time recommendations , powered by machine learning and poised to revolutionize user engagement. Streaming data platforms: Apache Kafka and Apache Flink enable real-time ingestion and processing of user actions, clickstream data, and product catalogs, feeding fresh data to the models.

Large Language Models 52

Large Language Models LLM Data Ingestion Neural Network 52

Flipboard

NOVEMBER 27, 2024

This makes Amazon Bedrock Knowledge Bases an attractive option to incorporate advanced generative AI capabilities into products and services without the need for extensive machine learning expertise. The RAG workflow consists of two key components: data ingestion and text generation.

Generative AI 145

Generative AI Data Ingestion AI AI 145