Precisely

FEBRUARY 20, 2025

Without it, you risk flawed predictions that contain AI hallucination or bias and cause you to miss valuable opportunities. Thats where data integration comes in. If you cant use predictive analytics and make quick, confident data-driven decisions, you risk falling behind to your competitors that can.

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Data Silos AI AI Data Quality 69

Ocean Protocol

MARCH 8, 2023

Ocean Protocol hosts data challenges like these to attract data scientists to publish high quality data assets on the Ocean Market. Feedback from contestants also drives innovation and improvements to the Ocean tech stack.

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phData

APRIL 18, 2023

This is due to a fragmented ecosystem of data silos, a lack of real-time fraud detection capabilities, and manual or delayed customer analytics, which results in many false positives. Snowflake Marketplace offers data from leading industry providers such as Axiom, S&P Global, and FactSet.

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Ocean Protocol

MARCH 7, 2023

Calling all Oceaners, data scientists, and traders! It is time to take part in decentralized data science with Ocean Protocol! About Predict-ETH Competition Ocean Protocol’s Predict-ETH data challenge is an exciting opportunity for data scientists to showcase their skills and potentially win big.

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phData

FEBRUARY 14, 2023

Insurance companies often face challenges with data silos and inconsistencies among their legacy systems. To address these issues, they need a centralized and integrated data platform that serves as a single source of truth, preferably with strong data governance capabilities.

Data Governance 52

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Precisely

FEBRUARY 12, 2024

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. In other words, the data needs to be freed from its silos.

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Data Governance Analytics Analytics Machine Learning 64

IBM Journey to AI blog

FEBRUARY 2, 2023

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.

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