Cloudera Opens EVOLVE26 Data and AI Conference, Says Data Strategy Determines AI Performance
IT DAILY ·
✦ AI Summary
Cloudera held its data and AI conference, EVOLVE26 Singapore, at the Marina Bay Sands Convention Center in Singapore on the 20th local time.
At the event, Cloudera introduced an AI-based hybrid data architecture that enables in-place execution without moving data and stressed that it can improve data consistency management, security, and cost efficiency.
It also unveiled a new platform, Cloudera Anywhere Cloud, and said it was named a leader in The Forrester Wave: Data Lakehouse, Q3 2026.
Cloudera held its data and AI conference, EVOLVE26 Singapore, on the 20th at the Marina Bay Sands Convention Center in Singapore. The on-site article photo was taken at Cloudera's EVOLVE26 Singapore event in Singapore on the 20th local time by reporter Yang Seung-gap.
At the Singapore event, Cloudera identified infrastructure barriers as a major obstacle to enterprise AI adoption and introduced an AI-based hybrid data architecture that enables in-place execution without moving data as a solution.
Cloudera stressed that the architecture enables consistent data management, stronger security, and cost efficiency.
Cloudera also said it was named a leader in The Forrester Wave: Data Lakehouse, Q3 2026. The report said Cloudera is well suited for companies that need support for large-scale distributed environments, highly regulated data environments, hybrid flexibility, governance, real-time analytics, and operational control.
At EVOLVE26, participants discussed ways to implement AI based on a consistent cloud experience across public cloud, on-premises data centers, and the edge, regardless of where data resides. Traditional cloud-centric platforms required data to be moved to proprietary environments.
In line with this trend, Cloudera unveiled a new platform, Cloudera Anywhere Cloud. Unlike approaches that move data into a specific environment, Cloudera Anywhere Cloud supports AI deployment regardless of data location and provides a single management console.
The platform is based on a modular architecture and targets public cloud, sovereign infrastructure, and private data centers. It also supports independent deployment, management, and scaling of AI and data services, and provides zero-trust-based governance, data lineage management, and data sovereignty management functions. In addition, it supports certified and open-source engines such as Spark, Kafka, and Trino, and supports open standard interoperability based on Apache Iceberg and the Polaris catalog.
Amid growing discussion about companies fully redesigning their data architectures, Cloudera's latest global survey report, "AI Architecture Transformation," found that 84% of respondents in APAC said AI adoption had significantly or partially changed how data storage and architecture are operated. Another 68% said their current data architecture would need a major overhaul to meet future AI requirements.
The event was attended by Cloudera's global executives: CEO Charles Sansbury, CBO and head of Applied AI Abbas Rikhi, CRO Brian Rosso, CPO Leo Brunnick, and CTO Sergio Gago.
CEO Charles Sansbury said AI performance is determined by the data strategy behind it. He said the focus of EVOLVE26 is to help enterprises generate real results beyond the experimental stage and to help realize AI value regardless of data location.
He said he hoped customers, partners, and industry leaders would come together to share the importance of a "data anywhere approach" for quickly achieving measurable business outcomes.
Rimus Lim, Cloudera's Senior Vice President for APAC and Japan, said APAC is a fitting starting point for EVOLVE26 because it has regulatory capabilities and digital innovation. He said companies in APAC face different data sovereignty and regulatory compliance requirements.
Lim emphasized that the common goal of APAC companies is to scale AI safely. He added that EVOLVE26 would serve as a venue for business and technology leaders to share cross-market insights and discuss how to turn complexity into practical, operational AI results.
Source: IT DAILY · Yang Seung-gap
Original: https://www.itdaily.kr/news/articleView.html?idxno=241095
References
This article was produced with the help of an automated content generation algorithm.
Source: IT DAILY
View originalThis article was summarized and organized by BizCrush based on the original article from IT DAILY. For exact quotations and full details, please refer to the original article.