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Air Quality Data Challenge Winners

Ocean Protocol

About Ocean Protocol Ocean Protocol is a decentralized data-sharing ecosystem spearheading the movement to unlock a New Data Economy, break down data silos, and open access to quality data. Feedback from contestants also drives innovation and improvements to the Ocean tech stack.

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Solving Complex Telecom Challenges with Data Governance and Location Analytics

Precisely

Here are some of the key trends and challenges facing telecommunications companies today: The growth of AI and machine learning: Telecom companies use artificial intelligence and machine learning (AI/ML) for predictive analytics and network troubleshooting.

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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Journey to AI blog

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.

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Here are the winners of the Predict-ETH Round 4 Data Challenge

Ocean Protocol

About Ocean Protocol Ocean Protocol is an ecosystem of open source data sharing tools for the blockchain. Ocean Protocol is spearheading the movement to unlock a New Data Economy in Web3 by breaking down data silos and opening access to high quality data.

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Predict-ETH 4: Dive into Decentralized Data

Ocean Protocol

See our Discord #events-overview channel for further details or chat with us in the dedicated #data-challenges channel. About Ocean Protocol Ocean Protocol is a decentralized data-sharing ecosystem spearheading the movement to unlock a New Data Economy, break down data silos, and open access to quality data.

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How is the ‘Mesh’ Resolving Bottlenecks of Data Management

Smart Data Collective

Data Management before the ‘Mesh’. In the early days, organizations used a central data warehouse to drive their data analytics. Even today, there are a large number of them using data lakes to drive predictive analytics. However, all of these may not be effective in the fast-changing data landscape.

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5 misconceptions about cloud data warehouses

IBM Journey to AI blog

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.