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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

But as we move into 2025, organizations are facing new challenges that are testing their data strategies, artificial intelligence (AI) readiness, and overall trust in data. Read on for the highlights from this panel – including actionable tips to ensure success in your 2025 data, analytics, and AI initiatives.

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How To Prepare Your Data Team for 2025

Ascend.io

As we approach 2025, data teams find themselves at a pivotal juncture. As we look towards 2025, it’s clear that data teams must evolve to meet the demands of evolving technology and opportunities. Are your tools simple to implement and accessible to users with diverse skill sets?

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Interesting startup idea: benchmarking cloud platform pricing

The Pragmatic Engineer

The startup was able to start operations thanks to getting access to an EU grant called NGI Search grant. The historical dataset is over 20M records at the time of writing! ” These are sensible mid-term plans: but they do not answer for what happens to the startup starting 1 January 2025, when their grant funding runs out.

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6 Ways To Prepare Your Data Team for 2025

Ascend.io

As we approach 2025, data teams find themselves at a pivotal juncture. As we look towards 2025, it’s clear that data teams must evolve to meet the demands of evolving technology and opportunities. Are your tools simple to implement and accessible to users with diverse skill sets?

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Cloudera’s Take: What’s in Store for Data and AI in 2025

Cloudera

As we head into 2025, its clear that next year will be just as exciting as past years. Here, Cloudera experts share their insights on what to expect in data and AI for the enterprise in 2025. This trend is ongoing, and I expect it will continue into 2025.

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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

But as we move into 2025, organizations are facing new challenges that are testing their data strategies, artificial intelligence (AI) readiness, and overall trust in data. Read on for the highlights from this panel – including actionable tips to ensure success in your 2025 data, analytics, and AI initiatives.

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Maximizing Your Data’s Potential: Best Practices for Streamlining Data Enrichment

Precisely

Traditionally, data enrichment can be lengthy and expensive, but implementing best practices for evaluating datasets and working with a data provider that offers data delivery options fit for your needs can accelerate time to value while reducing costs. Third-party data should be relevant, consistent, accessible, and trustworthy.