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Accelerate Insight with Proactive Data Governance Practices

Cloudera

More use cases must be deployed to drive more insight and value; more data needs to be made available to more users. Data governance: three steps to success. It is safe to assume that businesses understand the importance of good data governance. Know what data you have. Better governance for better outcomes.

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Real-World Data Governance: The Role of Data Governance in a Data Strategy

Precisely

To make a difference for your organization, your data strategy should address more than just raw data; it needs to lay out a roadmap for aligning the people, processes, and technology that can support a truly data-driven culture. Data governance plays a critical role in any effective data strategy.

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3 Takeaways From Our Modern Data Stack Webinar

Mutt Data

That said, instead of doing all the talking ourselves we thought you might want to hear from three leading industry experts with years of experience in Data Science, Engineering, Product Development, and Modern Data Stacks. So we set up a Webinar on Modern Tech Stacks with our friends at Product Minds and MODO. Wrapping Up ?

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Supercharging R&D in Life Sciences

Snowflake

Reasons for this include poor data quality, inadequate risk controls, escalating costs and unclear business value. To succeed in adopting AI, organizations need a robust data strategy that ensures that the data used to train AI models is high quality, relevant and accessible.

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How to Power Successful AI Projects with Trusted Data

Precisely

Above all, you must remember that trusted AI starts with trusted data. And trusted data requires data integrity: data that’s accurate, consistent, and contextualized. If your business operates with fragmented data across silos, then your AI models are working with incomplete or inconsistent datasets. The impact?

Project 75
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Accelerating Academic Medical Research with an AI-Driven Data Strategy

Snowflake

To accomplish these goals, AMCs need a modern data strategy that includes a robust, cloud-based data foundation and capabilities such as generative AI, data and AI applications, easy access to third-party data, and seamless data sharing and collaboration.

Medical 86
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Data security vs usability: you can have it all

Cloudera

Just like when it comes to data access in business. Enabling data access for end-users so they can drive insight and business value is a typical area of compromise between IT and users. Data access can either be very secure but restrictive or very open yet risky. Quickly onboard data.