Data Pipeline Leaders Discuss Future of AI Applications
Industry leaders discuss the importance of data management and pipeline tools for AI applications, highlighting the need for secure and efficient data flow.
Industry leaders discuss the importance of data management and pipeline tools for AI applications, highlighting the need for secure and efficient data flow.
Industry experts emphasize the importance of prioritizing product-market fit and focused data approach for successful AI adoption in early days of generative AI.
The Apache Kafka, Flink, and Iceberg communities are developing new features to manage data and meet application needs, driving innovation in data systems.
As global data reaches 400 zettabytes by 2028, managing unstructured data becomes crucial for businesses to stay competitive, with AI databases and seamless data management being key to unlocking insights.
Veeam raises $2 billion in secondary share sale, tripling its valuation to $15 billion, as it prepares for an eventual IPO and bolsters its cap table with strategic investors.
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