See the latest Cloudera Innovations.

Chris Joynt, Sr. Product Marketing Manager
Robert Hryniewicz, Director, Product Marketing

Cloudera has added several new innovations for building and deploying Generative AI applications –  everything from new project kickstarters called Accelerators for Machine Learning Projects (AMPs) to innovative updates from NVIDIA that streamline large-scale AI model deployment and management to real-time streaming pipelines that bring your AI game into the fast lane.

In this session, we will explore these three areas of innovation, and why each of them is good news for your AI projects.  

You will learn how:

• Our AMPs get you from concept to production up to 80% faster and connect you with our user community to ensure that you can access the latest and greatest ways to leverage AI in your enterprise.

• Cloudera’s upcoming AI Inference service, powered by the NVIDIA NeMo Inference Microservice (NIM), streamlines the deployment and management of large-scale AI models, delivering up to 36x faster performance. 

• AI use cases like fraud prevention, supply chain optimization, personalized offers, and many more benefit from data in real-time, and how we make it super easy to augment your AI initiatives with real-time data pipelines.

Navita Sood, Director, Product Marketing
Bill Zhang, Sr. Director, Product Management

Cloud data warehouses are great - but ONLY for some analytics workloads. What if you want to include streaming or unstructured data? Or perhaps you want to use the same data for non-Business Intelligence and reporting use cases, such as training and fine-tuning AI/ML models, graph processing, and more.  Trying to make your data warehouse fit these use cases will lead to cost overruns, such as integrating with other analytics engines,  managing complex ETL pipelines, and storing and maintaining multiple data copies – all of which increase exponentially as data scales in the cloud. 

Not anymore:  Apache Iceberg finally provides a common standard for data across different use cases and domains. It is open, flexible, and supports data in multiple open file formats. What’s more is that it is accessible by multiple engines for different use cases. Cloudera’s open data lakehouse powered by Apache Iceberg reduces cloud data warehouse spend, de-duplicates data, lowers risk, supports more use cases, and eases data access and visibility. Best of all, it works well with proprietary cloud data warehouses, so that you can avoid rebuilding applications and the risk of business disruption. 

Join this session to see how Cloudera’s data lakehouse:

1. Delivers better analytic performance while reducing cloud spend by up to 75% 

2. Unlocks data for modern AI and ML use cases

3. Minimizes risk while simplifying data access

4. Reduces ingestion, processing, and storage costs

You will also learn the benefits and limitations of Iceberg’s REST catalog and how you can overcome them. You’ll also learn how you can evaluate your potential savings through a customer case study and TCO analysis for your implementation.

David Dichmann, Sr. Director, Product Marketing

As a cloud-native platform, Cloudera and the Public Cloud are a perfect match.  Whether you have run your first workload or the majority of your data estate on Cloudera in the cloud, you already know why that’s true.  For organizations who need more convincing, join us for three really great reasons to take Cloudera to the cloud today.

In this session you’ll learn how:

• Cloudera’s hybrid flexibility enables you to choose the right infrastructure for each workload based on factors like performance, cost, security, and control.

• Cloudera’s multi-cloud platform based on open standards, technologies, and formats increases agility and reduces risk.

• Cloudera’s cloud-native services expand what’s possible with your data, enabling your team to innovate.

As a bonus, we will demonstrate Cloudera’s 5-day public cloud trial and show you just how easy it is to get started today.