Ocean Protocol

MARCH 8, 2023

Launched on February 1st 2023, the contestants of our Air Quality challenge were asked to use Ocean.py’s open-source tool, Compute-to-Data, to publish predictions of air pollutant concentrations in a fully decentralized manner. Feedback from contestants also drives innovation and improvements to the Ocean tech stack.

Data Silos 64

Data Silos Data Scientist Algorithm Predictive Analytics 64

IBM Journey to AI blog

OCTOBER 30, 2023

The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability. By migrating to watsonx.data on AWS, companies can break down data silos and enable real-time analytics, which is crucial for timely decision-making.

AWS 95

AWS AI AI Data Warehouse 95

Ocean Protocol

APRIL 13, 2023

Predict-ETH Round 4 Setup Predict-ETH Round 4 kicked off on March 7th, 2023. We held regular workshops with the community for anyone working on the Predict-ETH challenge who wanted facetime with the Ocean core team. The submission deadline was April 5th, 2023, at 23:59 UTC.

Data Silos 52

Data Silos Machine Learning Machine Learning Predictive Analytics 52

Ocean Protocol

MARCH 7, 2023

We included links to some data feeds and AI modeling approaches that you may find helpful in the challenge’s README. Predict-ETH Round 4 Evaluation The submission deadline is April 5th, 2023 at 23:59 UTC. See our Discord #events-overview channel for further details or chat with us in the dedicated #data-challenges channel.

Data Scientist 52

Data Scientist Data Silos Data Science Python 52

Ocean Protocol

APRIL 14, 2023

Predict NFT floor prices using machine learning to win prizes! We’re announcing our NFT Price Analysis data challenge due this April 30th, 2023 at 11:59 PM UTC! Contestants are asked to submit data analytics reports and machine learning models to analyze the floor prices of NFTs.

Machine Learning 59

Machine Learning Machine Learning Data Silos Analytics 59

Pickl AI

DECEMBER 11, 2024

Efficiency emphasises streamlined processes to reduce redundancies and waste, maximising value from every data point. Common Challenges with Traditional Data Management Traditional data management systems often grapple with data silos, which isolate critical information across departments, hindering collaboration and transparency.

Data Silos 52

Data Silos Data Pipeline Artificial Intelligence Artificial Intelligence 52

phData

SEPTEMBER 27, 2024

In transitional modeling, we’d add new atoms: Subject: Customer#1234 Predicate: hasEmailAddress Object: "john.new@example.com" Timestamp: 2023-07-24T10:00:00Z The old email address atoms are still there, giving us a complete history of how to contact John. In a traditional model, we’d update the email field in the customer record.

Data Models 52

Data Models Data Modeling Apache Kafka Data Lakes 52