What was once a distant vision, the age of enterprise AI has now become an immediate strategic imperative for business and technology leaders. A recent Google report found that 74% of large organizations are already seeing a significant return on investment (ROI) from generative AI (GenAI) investments.
Despite the clear mandate, the path forward is fraught with risk: a staggering 88% of enterprise AI projects fail to reach production, according to recent research. This high failure rate is a direct result of the complex hurdles businesses must overcome. Leaders are forced to navigate a minefield of security vulnerabilities, unpredictable costs, a persistent skills gap, and uncertain ROI, often proving to be insurmountable.
What if you could eliminate these barriers by flipping the script? Instead of moving your most sensitive, proprietary data to external models and facing the security vulnerabilities and unpredictable costs that entails, what if you could bring the power of GenAI to your data where it already lives, securely within the data center you've already invested in?
Now, you can: Cloudera Data Services can help you modernize to a more powerful and secure platform, empower your teams, and unlock the full potential of private AI within your data center. This means bringing AI directly to your proprietary data to innovate securely behind your own firewall, without exposing sensitive intellectual property.
Introducing Cloudera Data Services 1.5.5
Cloudera Data Services is a powerful suite of containerized applications for data engineering, data warehousing, and AI that you run securely in your own data center. This latest release marks a significant leap forward and expands on that foundation to unlock the full potential of private AI within your enterprise.
With this release, Cloudera Data Services now includes:
- Private enterprise AI: The ability for secure innovation behind your firewall by bringing AI directly to your data, without exposing sensitive intellectual property.
- A true cloud-native experience: The agility, elasticity, and autoscaling of the cloud combined with the security and control of your own on-premises data center.
- Dramatically improved efficiency: A modern architecture where the independent scaling of compute and storage reduces infrastructure costs and optimizes resource utilization.
- An empowered practitioner experience: Access to the next-generation tools and self-service experience your teams need to accelerate their time to value.
- An open data lakehouse foundation: A unified platform for your analytics and AI that is powered by open standards like Apache Iceberg and Trino to eliminate vendor lock-in and offers a purpose-built petabyte-scale object store powered by Apache Ozone.
Private Enterprise AI Behind Your Firewall
Running enterprise AI across a hybrid environment has historically meant building complex, unsupported DIY solutions. Without a consistent, unified platform, crucial capabilities for the end-to-end AI lifecycle were siloed in different places, forcing teams to manually bridge the gaps. Cloudera Data Services 1.5.5 fundamentally changes this by providing the tools to access data anywhere – creating one seamless AI lifecycle on a single hybrid platform. This allows you to innovate faster, without fragmenting the process or compromising on security and control.
An exciting aspect of this release is the introduction of on-premises support for Cloudera AI Inference service, accelerated by NVIDIA, and Cloudera AI Studios. Previously, these offerings were available only in the cloud.
- Cloudera AI Inference service provides a secure and scalable engine to deploy and manage all of your AI models in production, right in your data center. This allows you to bring AI directly to your data, keeping your most valuable assets and sensitive intellectual property secure within your own firewall.
- To address the persistent skills gap, Cloudera AI Studios offer low-code templates that empower your existing teams to rapidly build and deploy GenAI applications and agents. This dramatically reduces the need for scarce and specialized AI talent. With this integrated, secure-by-default platform, you can now go from prototype to production in days, not months, to deliver tangible business value faster than ever before.
These capabilities empower organizations to accelerate AI adoption by building and running GenAI applications within the security of their own data centers, keeping sensitive intellectual property safely behind their firewall. This move from monolithic clusters to a suite of agile, containerized applications delivers a true cloud-native experience on premises, providing agility and efficiency without sacrificing security or control.
Empowering Practitioners and Accelerating Value
A platform is only as good as the people who use it. That’s why this release of Data Services is practitioner-focused, designed to remove bottlenecks and accelerate time to value. According to a Forrester study, customers who adopt this modern architecture see an 80% faster workload deployment and a 20% increase in productivity for their data teams. This is achieved by providing a streamlined, self-service experience that reduces dependency on administrators and empowers your data scientists and engineers to focus on results, not administrative overhead.
This enhanced experience comes to life through new capabilities that simplify daily workflows. Practitioners can now onboard themselves securely with self-service Kerberos, debug issues faster with the new Hive Query History, and gain greater autonomy through fine-grained Spark job access control lists. By simplifying the onboarding experience and setup, your technical teams can spend less time on administrative tasks and more time delivering the business value that drives your enterprise forward.
A Platform Built for Enterprise Scale
These advanced AI and practitioner-focused capabilities are built upon a foundation engineered for the world’s most demanding enterprises. The key architectural advantage of Data Services is its decoupled and containerized nature, which allows you to scale compute and storage resources independently.
This efficiency translates into major savings. According to internal reporting, one large global bank is driving an estimated $28 million in annual infrastructure savings and a 30% improvement in compute efficiency by modernizing with Cloudera Data Services. This is made possible by a platform relentlessly focused on the core enterprise pillars of end-to-end security for all data and applications, reliability for mission-critical business continuity, and the scalability to perform consistently as data and workloads grow.
Your Path to Modernization Starts Here
Cloudera Data Services 1.5.5 provides a clear, proven path to transforming your data architecture and unlocking the full potential of enterprise AI. This release marks a significant leap forward, delivering a powerful, cloud-native platform designed to accelerate data modernization efforts. We invite you to take the next step on your modernization journey.
Whether you're ready to schedule a demo to see the new capabilities in Data Services 1.5.5, book a deep-dive session with our technical experts, or begin planning your upgrade or a proof of concept, we're here to help you get started.
