Today: Microsoft rolled out its second wave of Copilot feature upgrades ahead of a pivotal year for its AI strategy, AWS throws Intel a lifeline, and the latest funding rounds in enterprise tech.
Today: Salesforce jumps on an AI bandwagon with its trademark enthusiasm, Apple reveals more details about its secure private cloud infrastructure, and the latest enterprise moves.
For years, Oracle tried to convince longtime database customers who wanted to shed their on-premises data centers to run those databases on Oracle's public infrastructure cloud, slamming AWS at every turn. Times have changed.
Now that open data formats are here to stay, unifying them to remove incompatibilities will be a challenge. Delta Lake and Iceberg get all the attention, but tech developed by the creators of Hudi could make it happen.
Tech and media leaders are increasingly worried that the push to use generative AI to automate analytical business tasks could produce a generation of workers that never develop the foundation to do the job well at a senior level.
As Snowflake and Databricks gear up for back-to-back user conferences in early June, their customers are increasingly betting on open storage formats that give them new flexibility.
"The more significant decision is, 'what is your strategy for centralizing the data?' Because these data platforms do not do that; they are the place that it gets centralized to, but they do not centralize anything."
Rowan Trollope started work as the new CEO of Redis earlier this year in February, arguably a low point for enterprise tech growth. Redis hasn't been immune to those trends, but it has also enjoyed the spoils of the generative AI hype cycle.
The speed, flexibility, and efficiency provided by newer data tools have become much more important than simply dumping "Big Data" into a storage facility and running relatively simple analytical queries.
