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  • Beyond the Hype: Making Smart Decisions for ITSM –Talk
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    Numerous tools are available for data science applications. Read about 18, including their features, capabilities and uses, to ...

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    These best practices can help data leaders create an effective big data strategy that meets an organization's analytics needs and...

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    The real risk of AI isn't experimentation—it's deployment. Leaders must address governance, data gaps and oversight before ...

  • ESG for IT: How CIOs can drive environmental sustainability

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  • The future of AI depends on better data, not bigger models

    AI's competitive advantage is shifting from model scale to data quality. Organizations that invest in governance and ...

  • Graphwise aims to boost AI accuracy with GraphRAG launch

    With standard RAG pipelines proving unreliable, the vendor's new feature uses knowledge graphs to add needed context to the data ...

  • SurrealDB raises $23M, launches update to fuel agentic AI

    Though funding isn't flowing as freely into data management as it once was, the startup is attracting interest by focusing on ...

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  • Big bang vs. phased ERP implementation: Which is best?

    COOs, CFOs and others who work with ERP must ensure their company makes the right choice when selecting the big bang approach vs....

  • Rollout timelines absorb unresolved integration work

    Enterprise integration rollout challenges emerge across ERP, GenAI and HR systems, shaping outcomes earlier than expected and ...

  • 10 early decisions that shape enterprise software outcomes

    Early planning choices quietly shape enterprise software outcomes. These 10 decisions influence flexibility, governance and how ...

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