Artificial intelligencefromTechzine Global1 week agoRedis readies generative AI developer toolsetRedis introduces LangCache, a managed semantic caching service designed for AI developers to improve data retrieval and reduce costs.
Data sciencefromInfoWorld2 weeks agoData mesh vs. data fabric vs. data virtualization: There's a differenceData mesh is a decentralized approach where domain experts manage their own data, treating it as a product.
Data sciencefromtowardsdatascience.com1 month agoPlatform-Mesh, Hub and Spoke, and Centralised | 3 Types of data teamData team structure is crucial to effectively leverage Data and AI in organizations.A flexible and adaptive team structure enhances the ability to achieve meaningful results with Data and AI.
fromDATAVERSITY8 months agoBusiness intelligenceMind the Gap: Start Modernizing Analytics by Reorienting Your Enterprise Analytics Team - DATAVERSITYModernizing analytics requires shifting focus from data quantity to quality and usability.
Data sciencefromtowardsdatascience.com1 month agoPlatform-Mesh, Hub and Spoke, and Centralised | 3 Types of data teamData team structure is crucial to effectively leverage Data and AI in organizations.A flexible and adaptive team structure enhances the ability to achieve meaningful results with Data and AI.
fromDATAVERSITY8 months agoBusiness intelligenceMind the Gap: Start Modernizing Analytics by Reorienting Your Enterprise Analytics Team - DATAVERSITYModernizing analytics requires shifting focus from data quantity to quality and usability.
Data sciencefromInfoQ3 months agoThe End of the Bronze Age: Rethinking the Medallion ArchitectureA shift left approach is essential for operational and analytical use cases to reliably access trustworthy data.Current multi-hop data architectures are inefficient and costly, necessitating a new processing strategy.
fromDATAVERSITY5 months agoBusiness intelligenceFeb 13 AArch Webinar: Standardizing Data Collaboration - The Role of Open Table Formats in Data Architecture - DATAVERSITYOpen table formats are critical for enabling seamless data collaboration in complex data ecosystems.
Artificial intelligencefromTechCrunch6 months agoThe Future of AI's Data Infrastructure: Unlocking the Power of Gen AI with MongoDB and Capgemini | TechCrunchAI will be an integral part of the next generation of business applications, requiring a focused approach towards data accuracy and integration.
fromthenewstack.io6 months agoArtificial intelligenceThe Architect's Guide to Interoperability in the AI Data StackInteroperability is essential for avoiding vendor lock-in and ensuring flexibility in AI data architectures.
Data sciencefromHackernoon6 years agoWeb3 Data Engineering Crash Course | HackerNoonWeb3 data architecture is transforming how enterprise and scientific data are approached, emphasizing cross-organizational data exchange over internal data.
fromSimplilearn.com4 years agoData scienceData Architect: Roles, Skills, and How to Become One in 2024Businesses actively analyze data for better decisions; spending on data to rise.Data architecture crucial for organizing data for efficient utilization and security in enterprises.