Hana Jeddy

Many enterprise AI workloads are decision problems: determining which category a record belongs to, how risky a transaction is and whether a ticket should be processed further. Many of these tasks have bounded answers, and they run at high volume across large tables. General-purpose LLMs can handle these tasks, but they may carry higher cost and latency than the work requires.

With all of the buzz around cloud computing, many companies have overlooked the importance of hybrid data. Many large enterprises went all-in on cloud without considering the costs and potential risks associated with a cloud-only approach. The truth is, the future of data architecture is all about hybrid.

What’s the fastest and easiest path towards powerful cloud-native analytics that are secure and cost-efficient? In our humble opinion, we believe that’s Cloudera Data Platform (CDP). And sure, we’re a little biased—but only because we’ve seen firsthand how CDP helps our customers realize the full benefits of public cloud. Organizations from across the globe and virtually every industry have used CDP to generate new revenue streams, decrease operational costs, and mitigate risks.