Name: Cloudera Evolve 2024
Start: 2024-10-10T14:45:00.000Z
End: 2024-10-10T21:00:00.000Z

Thursday, October 10 (UTC)

ON DEMAND

Charles Sansbury, Cloudera

Cloudera's CEO, Charles Sansbury, discussed the company's focus on managing workloads across various platforms and adopting modern data architectures like the open data lakehouse. Another key focus is helping customers operationalize AI by providing infrastructure for AI models. Cloudera is a leading data platform for large companies in data-intensive industries, emphasizing customer-driven presentations. The importance of human judgment in data-driven decision-making, including in healthcare, was highlighted. Cloudera's partnership with NVIDIA aims to optimize AI initiatives. The company's strategy includes providing machine learning prototypes and packages to accelerate AI adoption. Sansbury aims to drive immediate business value for customers by focusing on use case adoption, with a focus on planting seeds for future growth.
ON DEMAND

Keynote Analysis

At Cloudera 24 in New York City, Rebecca Knight and Bob Laliberte discuss Cloudera's evolution into a hybrid data management system to address the challenges of modern IT environments. With a focus on cloud adoption and AI, Cloudera aims to help organizations leverage data for business insights. Partnering with NVIDIA and offering Advanced ML Prototypes, Cloudera accelerates AI adoption and ROI for customers. The importance of combining human creativity with AI decision-making is emphasized, with a focus on finding the right balance in workflows. Cloudera's open and flexible approach resonates with organizations dealing with vast amounts of data. Stay tuned for more coverage of Cloudera 24 on theCUBE.

Rebecca Knight
Host SiliconANGLE Media

Bob Laliberte
Principal Analyst theCUBE Research
ON DEMAND

Boaz Rubin, Amdocs

Boaz Rubin, VP and Head of Network Solutions R&D at Amdocs, discusses Amdocs' role in serving the telco industry and implementing AI for digital transformation. Amdocs uses Cloudera for charging usage data for millions of subscribers to enable better decision-making and offer new plans based on data insights. The shift to 5G technology poses challenges for Amdocs, which they address by leveraging Cloudera's SaaS solutions. Amdocs prioritizes data privacy and compliance, with solutions in place to protect sensitive data and meet regulations. Bo

Boaz Rubin
VP, Head of Network Software R&D Amdocs
ON DEMAND

Ryan Garnett, Halifax International Airport Authority

Ryan Garnett, Senior Manager Business Solutions at Halifax International Airport Authority, shared his experience with Cloudera at the Cloudera Evolve24 event. Coming out of the Covid slump, the airport needed data-driven insights to navigate the recovery phase. Initially, they struggled with unreliable dashboards from a professional service company before switching to Cloudera. With Cloudera, they automated processes, improved predictive analytics, and saved 40% in costs.

By leveraging data from departing passengers, they were able to predict future patterns, integrate event data, and optimize infrastructure planning. The platform allowed them to unify various data sets and empower non-technical users to access and act on insights efficiently.

Ryan highlighted the importance of focusing on foundational data and building trust within the organization. He also discussed upcoming initiatives to enhance the passenger experience, such as reducing travel anxiety with AI and self-service capabilities.

Overall, Ryan emphasized the value of data-driven decision-making in transforming the airport's operations and enhancing passenger journeys.

Ryan Garnett
Senior Manager Business Solutions Halifax International Airport Authority
ON DEMAND

David Dichmann, Cloudera

Cloudera announced a partnership with Snowflake in New York City to make data more accessible. The Iceberg REST Catalog allows easy communication of data for various purposes like AI training. This aims to drive open concepts for better business decisions by leveraging data across platforms. Customers benefit from reduced complexity and costs, increased value from their data estate, and enhanced security and governance. The integration with Snowflake enhances centralizing access to data, reducing the risk of data breaches. The Lakehouse Optimizer optimizes storage, reducing administrative burden, saving costs, and improving performance. This simplifies data management, allowing organizations to focus on creativity and innovation.

David Dichmann
Senior Director of Product Management Cloudera
ON DEMAND

Priyank Patel, Cloudera

The discussion at Cloudera EVOLVE24 in New York City focused on integrating NVIDIA's NIM microservices with Cloudera's AI Inference service. The goal is to efficiently run AI models on public clouds or on-premise, addressing the challenge of balancing security and compliance with AI innovation. The evolving role of developers in AI, simplifying skill sets and upskilling talent, was also discussed. Navigating the various frameworks, models, and deployment options in AI was highlighted. The concept of "accidental architecture" in data platforms, balancing centralized and decentralized systems, was emphasized. Unifying data across distributed IT environments without centralizing all data was seen as crucial for AI development. Successful outcomes, like those at AbbVie, require intentional effort in building a knowledge base and unifying data sources. Leveraging AI for impactful results, whether in a small organization or large enterprise, requires intentional effort and thoughtful planning.

Priyank Patel
VP of AI and Ml Cloudera
ON DEMAND

Stephen Horn, Illumina

Stephen Horn, the staff data engineer at Illumina, discussed how Cloudera helped the company unify its data from various sources into one platform. This enabled faster data analysis and innovation while reducing complexity and costs. The use of Iceberg, a data storage solution, allowed for efficient data management and ease of access. Illumina leverages a hybrid approach with on-premises and cloud storage, allowing for edge computation while streamlining data into Iceberg for unified access. Stephen highlighted the importance of bridging the gap between data engineers and business experts to ensure clean and meaningful data for AI and ML applications. He emphasized the significance of having a solid data foundation to avoid "junk in, junk out" scenarios in AI and analytics. This alignment between technical capabilities and business requirements is crucial for successful data management in the life sciences industry.

Stephen Horn
Staff Data Engineer Illumina
ON DEMAND

Abhas Ricky, Cloudera

The importance of ecosystems in enterprise AI has been highlighted at Cloudera Evolve24. The enterprise AI ecosystem at Cloudera includes partners like AWS Bedrock, NVIDIA, Pinecone, Google, Anthropic, and Snowflake, focusing on AI solutions for customers. Security, model lifecycle management, and operational governance are essential components. Partnerships with Google, Anthropic, and Snowflake enhance hybrid capabilities. Ethical AI is prioritized with a focus on transparency and bias mitigation. Cloudera is looking to add partners to meet evolving customer needs and create a cognitive enterprise. The ecosystem aims to provide comprehensive solutions for joint customers and application portability between private and public clouds.

Abhas Ricky
Chief Strategy Officer Cloudera
ON DEMAND

Luz Erez, MDClone

The CTO of MDClone, Luz Erez, discussed the challenges in healthcare data management and analysis. MDClone addresses the issues of data quality and PHI compliance by providing a platform that uses synthetic data to create a secure, anonymized environment for sharing information. The data infrastructure is built on-premises with Cloudera's help, allowing for scalability and high IO levels essential for complex queries. Cloudera's hybrid capabilities are leveraged for data consolidation and movement between organizations, enabling data sharing while maintaining privacy and security. Tools like federated learning and generative AI are used to enhance the capabilities of the platform, providing clients with accurate and reliable insights. Overall, MDClone's collaboration with Cloudera plays a crucial role in overcoming the challenges of healthcare data analysis and management.

Luz Erez
CTO MDClone
ON DEMAND

theCUBE Insights

Bob LaLiberte explains how Cloudera's unified data platform helps organizations leverage data for insights, minimize security threats, and accelerate innovation. AI plays a key role in improving efficacy by providing a complete view of data. The partnership with NVIDIA allows organizations to use both on-premises and proprietary data to enhance AI outcomes. Customer stories like MDClone, Halifax Airport, and Illumina showcase the benefits of using Cloudera.

Rebecca Knight
Host SiliconANGLE Media

Bob Laliberte
Principal Analyst theCUBE Research