Cloudera, a global software company making it easier for organizations to use complex data analytics and machine learning technologies across hybrid and multi-cloud environments, has revealed the next generation of its open data lakehouse on private cloud. It would transform on-premises data experiences for scaled AI and reliable analytics.
Through its most recent set of improvements, Cloudera says it is now the only vendor to let clients realize the corporate AI potential of all their data by offering an open data lakehouse with Apache Iceberg for both public and private clouds.
53% of US firms, according to research from Cloudera, are using generative AI technology at the moment, while 36% are only beginning to investigate the technology in preparation for possible deployment in 2024. However, applications have stagnated since several businesses find it difficult to use AI to access or extract value from their data, stated Cloudera. Difficulties can include governance hazards, security issues, or dispersed data infrastructures.
Through the provision of Apache Iceberg for private clouds, Cloudera is enabling all organizations to surmount these challenges and expeditiously expand enterprise AI deployments to provide more value. A high-performance, open-source table format for large analytic tables is called Apache Iceberg. Utilizing private clouds, the technology lets businesses apply artificial intelligence (AI) to massive volumes of mission-critical data that are stored on-site and on the cloud, eventually opening up new use cases. A fully air-gapped large language model (LLM) deployment offers clients more security and data privacy, better performance, and lower operating costs. Cloudera is currently the only business that can do this.
Actionable Insights by Enabling Data with AI
Additionally, Cloudera is releasing a number of platform enhancements that would provide its clientele with significant commercial value, such as:
- Enhancements in security, such Transport Layer Security (TLS) 1.2, and zero downtime upgrades (ZDU) may help reduce disruptions and extend business continuity
- To meet the demanding data consumption requirements of contemporary applications, Apache Ozone now has new features including quotas, snapshots, and disaster recovery improvements that allow for much higher scalability at reduced costs
- For improved compatibility and flexibility, more support has been extended for integrations with Python 3.10, RHEL 9.1, RHEL 8.8 FIPS, SLES 15 SP4, Oracle 8.8, and JDK 17
“Cloudera’s mission is to empower customers to transform data anywhere into actionable insights by enabling it with AI,” said Dipto Chakravarty, Chief Product Officer at Cloudera. “By giving them a trusted data foundation for analytics, this next phase of cloud-native solutions unlocks endless possibilities for building innovative AI applications.”
With the help of Cloudera’s software, businesses can use big data analytics and machine learning to get actionable insights and make better decisions in a variety of industries. It is used in financial services to control risk and detect fraud by examining transaction patterns to spot questionable activity. Through treatment plan optimization, hospital operations management, and predictive analytics, Cloudera helps enhance patient care in the healthcare industry.
In the manufacturing industry, it is used for predictive maintenance, which can reduce downtime by anticipating equipment faults. Cloudera is used by telecom firms to improve service quality and customer retention via network performance improvement and customer churn prediction. It also helps with tailored marketing and inventory management in the retail sector, enhancing consumer satisfaction and operational effectiveness. By analyzing massive datasets to improve policymaking and public services, Cloudera’s technology also helps government organizations with public safety and service delivery.
