phData

APRIL 18, 2023

Data, technology, and improved trade execution could all be utilized by businesses to increase investment returns, spur innovation, and provide better investor experiences. The data-sharing features of Snowflake enable enterprises to integrate their data without creating any data silos or building new technology capabilities.

Data Silos 52

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IBM Journey to AI blog

OCTOBER 13, 2023

In IDC’s 2022 Global Supply Chain Survey , they identified that “lack of visibility and resiliency to see necessary changes in time to react effectively” was the most problematic and unaddressed deficiency in modern supply chain management and inventory optimization.

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AWS Machine Learning Blog

JANUARY 13, 2023

This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. We set up a multi-account architecture, where in a real-world scenario, organizations can join the ecosystem to benefit from collaborative learning while maintaining data governance. Reference. [1] 1] Kaissis, G.A., Makowski, M.R., Rückert, D.

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phData

SEPTEMBER 20, 2023

A data mesh is a decentralized approach to data architecture that’s been gaining traction as a solution to the challenges posed by large and complex data ecosystems. It’s all about breaking down data silos, empowering domain teams to take ownership of their data, and fostering a culture of data collaboration.

Data Silos 52

Data Silos Database Data Quality Data Engineering 52

Alation

SEPTEMBER 29, 2021

At top-tier organizations, two key business drivers for data and analytics priorities emerge: Product innovation and operational efficiency are the two most popular reasons for pursuing a data culture. For 2022, Invest in Data Catalogs and Formal Learning. For starters, get a data catalog. Data silos (38%).

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AWS Machine Learning Blog

SEPTEMBER 14, 2023

The following risks and limitations are associated with LLM based queries that a RAG approach with Amazon Kendra addresses: Hallucinations and traceability – LLMS are trained on large data sets and generate responses on probabilities. Since the approach in this blog is LLM agnostic, any LLM can be used for inference.

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DrivenData Labs

MARCH 30, 2023

Phase 2: Solution Development ¶ Phase 2 of the challenge took place from October 2022 to late January 2023. Phase 3: Red Teaming ¶ Phase 3 of the challenge for red team participants began in November 2022.

Machine Learning 162

Machine Learning Machine Learning Data Science Algorithm 162

Pickl AI

DECEMBER 11, 2024

Companies must adapt quickly to changing demands, and lean data management empowers them by enabling faster decisions, seamless collaboration, and improved scalability. This blog explores why lean data management is essential for agile organisations, its principles, and how to implement it effectively. billion in 2023 to $9.28

Data Silos 52

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AWS Machine Learning Blog

JANUARY 13, 2023

This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. Please review the presentation at re:MARS 2022 focused on “ Managed Federated Learning on AWS: A case study for healthcare ” for a detailed walkthrough of this solution. Reference. [1] 1] Pollard, Tom J.,

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Heartbeat

DECEMBER 7, 2023

What are the new data governance trends, “Data Fabric” and “Data Mesh”? I decided to write a series of blogs on current topics: the elements of data governance that I have been thinking about, reading, and following for a while. Even though the titles are new, the ideas are not really new. How does it?

Data Governance 52

Data Governance Deep Learning Deep Learning Artificial Intelligence 52

DrivenData Labs

SEPTEMBER 10, 2024

This large-scale nationally representative survey of the non-institutionalized United States population covers ages 18-85, with relevant years from 2010-2022. Dr. Reid also teaches Data Science at the University of California at Berkeley. Summary of approach: The team proposed using the National Health Interview Survey (NHIS).

Machine Learning 147

Machine Learning Machine Learning Computer Science Computer Science 147