CIO

JANUARY 22, 2024

Since the introduction of ChatGPT, the healthcare industry has been fascinated by the potential of AI models to generate new content. While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how large language models can be used in their organizations.

Generative AI 198

Generative AI Healthcare Artificial Inteligence Fractional CTO 198

Cloudera

AUGUST 30, 2022

Data Lakehouse: Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support artificial intelligence, business intelligence, machine learning, and data engineering use cases on a single platform. Forrester ).

Architecture 78

Architecture Data Artificial Inteligence Artificial Intelligence 78

Cloudera

DECEMBER 15, 2022

Performance and scalability. Cloudera developed unique features in CDP for Iceberg query performance and scalability for large data sets including I/O caching, dynamic partition pruning, vectorization, Z-ordering, parquet page indexes, and manifest caching. Read why the future of data lakehouses is open.

Cloud 78

Cloud Data Analytics Machine Learning 78

Cloudera

DECEMBER 14, 2020

Apache NiFi empowers data engineers to orchestrate data collection, distribution, and transformation of streaming data with capacities of over 1 billion events per second. . Apache Kafka helps data administrators and streaming app developers to buffer high volumes of streaming data for high scalability.

Analytics 70

Analytics Big Data Government Cloud 70

Cloudera

DECEMBER 21, 2020

Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Machine Learning Workspace exists . A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist.

Data 97

Data Virtualization Banking Data Engineering 97

TIBCO - Connected Intelligence

JULY 29, 2019

While many organizations are investing heavily in data science and machine learning (ML), far fewer have found a way to monetize their initiatives and fully realize the value from the insights uncovered. Best Practices to Operationalize Data Science and Machine Learning.

Innovation 26

Innovation Artificial Inteligence Machine Learning Guidelines 26

Cloudera

APRIL 9, 2021

ETL jobs and staging of data often often require large amounts of resources. ETL is a data engineering task and should be offloaded onto a scale-out and more cost effective solution. . Similarly, operational data stores take up resources on a data warehouse. Scalability. Conclusion.

Data 58

Data Software Review Technical Review Architecture 58