Name: Accelerating the Pharmaceutical Value Chain with Agentic AI
Start: 2025-09-17T14:32:00Z
End: 2025-09-17T14:32:50.000Z
Location: BrightTALK

  We empower the largest enterprises to transform any data anywhere into valuable insights they can trust.

Enterprise Strategy Group research shows that 50% of organizations identify faster business decision-making as the core driver of their data strategies, wherein they’re racing to use their proprietary data for generative AI (GenAI), advanced analytics, and machine learning initiatives.   

The downside of GenAI is that it’s resource-intensive. So, how do you cost-effectively pursue AI investments and build out infrastructure in today’s resource-strapped macro-environment?

ESG Senior Analyst Stephen Catanzano joins Cloudera’s David Dichmann, Senior Director of Product Marketing, and AMD’s Shiva Gurumurthy, Senior Product Marketing Manager, in this webinar to provide guidance on enabling better decision-making with GenAI.

Register for the session to discover how to: 
• Enable cost-effective AI investments 
• Address issues with GenAI data accuracy, security, and governance
• Simplify management of analytics & AI workloads across on-premises and cloud 
• Leverage Cloudera and AMD to build scalable business apps with GenAI

Accelerate Insights with Cloudera and AMD for Scalable and Secure Data, AI, and Analytics

Join thought leaders from Cloudera and AWS for a candid fireside chat focused on strategy, not slides. We'll explore the critical questions needed to deploy AI agents securely at scale.

The key questions we'll tackle:
- Risk vs. Reality: Defining realistic steps for secure adoption, moving past the gap between market hype and implementation reality.
- The Guardrail Imperative: How to use MCP to establish control, prevent excessive permissions, and mitigate new security vectors.
- Controlling Unintended Actions: Strategies to govern agents and prevent misinterpretation of instructions in critical workflows.
- Right Tool for the Job: Identifying high-value Agentic AI use cases versus scenarios where traditional ML remains the better solution.

A Leader's Fireside Chat about Securing Next-Gen AI

Agentic AI is here, moving beyond simple responses to create systems that can autonomously act and reason. To help you harness this power, Cloudera offers a complete suite of AI Studios to manage the entire AI lifecycle. At the heart of this is Agent Studio, a flexible platform that allows you to build, test, and deploy powerful multi-agent workflows, from low-code to high-code.

In this session, you will learn how to:
- Build powerful multi-agent workflows grounded in your own private data and internal systems.
- Apply Agentic AI to solve real-world enterprise use cases.
- Accelerate your AI journey with expert guidance from Cloudera Professional Services.

Watch this on-demand session from ClouderaNOW to take the first step toward building truly intelligent, autonomous systems.

Agentic AI with Cloudera Agent Studio

Building secure and scalable AI models requires a modern data foundation. Watch this ClouderaNOW session to learn how Cloudera Data Services can help you achieve this with a platform that combines the agility of the cloud with the security of your own private environment.

In this session, you will learn how to:
- Reduce infrastructure costs and boost efficiency by bringing cloud-native agility to your on-premises environment with decoupled compute and storage.
- Deploy private AI behind your own firewall to protect your most valuable data and intellectual property.
- Unlock the full potential of your data with the high-performance Trino query engine for seamless, federated queries.

Watch this on-demand session from ClouderaNOW to accelerate your journey toward production-ready AI.

Achieving Secure and Scalable Private AI

A visionary future starts with control. This session details how Cloudera is shaping a new era of private, secure, and scalable AI. We empower organizations to build and run advanced models on their own terms. Learn why Private AI is the new benchmark for innovation, compliance, and competitive advantage. See real-world examples. Operationalize GenAI. Turn data into action securely and at scale.

Why You Should Watch:
- Discover why Private AI is mandatory for both competitive edge and compliance
- Explore Cloudera's role in the future of advanced, agentic AI workflows
- See examples of enterprises using our unified platform to operationalize GenAI securely

The Future of Agents with Private AI

High-performance GenAI deployment demands speed, security, and control. See how the Cloudera AI Inference service, built on  NVIDIA NIM microservices, delivers controlled, high-performance deployment across hybrid environments. Learn best practices for automating model deployment. Ensure consistent performance. Protect sensitive data. Meet strict SLAs anywhere model inference runs.

Why You Should Watch:
- Discover how the Cloudera AI Inference service, built on NVIDIA NIM microservices, guarantees high-performance GenAI deployment
- Learn best practices for automating model deployment and maintaining compliance from edge to cloud
- Understand how enterprises operationalize LLMs, meet strict SLAs, and protect sensitive data at the point of inference

Enterprise-Grade GenAI: Experience the Fastest and Most Secure Inference at Scale

Step into the next evolution of enterprise automation. This session focuses on agentic AI. Learn how organizations design, build, and deploy intelligent agents using Cloudera AI Studios, specifically Agent Studio. See real-world agentic use cases. Master techniques for safe deployment. Maximize ROI with governed, composable agent architectures. Go from simple assistants to transformative enterprise agents.

Why You Should Watch:
- Explore the evolution of enterprise automation and the tangible benefits of agentic AI
- Learn how to design and deploy complex, multi-stage workflows using Cloudera's Agent Studio
- See real-world use cases and safe deployment with governed architectures

Operationalizing Agentic AI in the Real World: From Assistants to Autonomous Workflows

Accelerate innovation. Cloudera AI Studios empowers teams to rapidly design, build, and deploy advanced GenAI and agentic workflows all within a secure, governed environment. Explore purpose-built studios for RAG, fine-tuning, synthetic data, and intelligent agents. See how users of any skill level can accelerate innovation. Real-world demos highlight how organizations are moving faster from concept to production.

Why You Should Watch:
- Explore how Cloudera AI Studios accelerates the design, build, and deployment of complex AI workflows
- See purpose-built studios for RAG, fine-tuning, and synthetic data in action
- Discover how both low-code and high-code users move projects from concept to production faster than ever

AI Studios Unleashed: Accelerate GenAI & Agentic Workflows

Enterprises today need to rapidly innovate and build solutions that deliver exceptional customer experiences and provide real business value to drive competitive advantage. Leveraging generative AI (GenAI) running on AWS and the Cloudera platform enables you to use your enterprise data like never before to innovate and stay relevant in increasingly competitive markets.

Join us for this session, where we will explore how combining the Cloudera platform and Amazon Bedrock unlocks the power of enterprise data to rapidly develop modern applications using GenAI. We will provide an overview of GenAI capabilities on AWS and real-world use cases across industries. Attendees will learn how the scalability of Cloudera’s platform and breakthrough capability of Amazon Bedrock can be utilized to build innovative solutions that deliver exceptional customer experiences.

ClouderaNOW: Build Modern, Innovative Solutions with Generative AI Using Cloudera on AWS and Amazon Bedrock

Cloudera and Dell unit to enable enterprises to get the most out of their on-premise capabilities to deliver a private AI solution. This fireside chat led by Jeremy Reams will illuminate the solution, market demand, and value proposition for customers, and highlight existing customer win stories. A few other topics that will be discussed will include Dell’s unique storage and compute capabilities and Cloudera’s ability to scale massive workloads using various open-source technologies. The conversation will also cover agentic use cases and explore how both Cloudera and Dell enable this use case today.

Key Takeaways:
- Cloudera and Dell Technologies are offering a joint AI solution
- AI agents in financial services are already leading the way

ClouderaNOW: AI in a Box Fireside Chat

Apache Iceberg has become the de facto standard for large-scale analytics. Iceberg has many features that drastically reduce the work required to deliver a high-performance view of the data, but like any other table format, many of these features create overhead and require manual job execution to optimize for performance and costs. Cloudera has made it easy to manage Iceberg tables with the Cloudera Lakehouse Optimize,r which intelligently automates Iceberg table maintenance, making it easier than ever to achieve fast, cost-efficient, and reliable analytics. In this session, we’ll explore the key drivers behind the need for automated Iceberg table optimization, and the unique benefits it delivers—such as intelligent data layout management, query performance enhancement, and 40-80% reduced storage costs —resulting in 2-4x faster queries compared to self-managed tables. Through a live demo, see how the Cloudera Lakehouse Optimizer autonomously fine-tunes Iceberg tables, enabling you to unlock the full potential of your data lakehouse.

Key Takeaways:
- Cloudera provides the easiest way to store structured and unstructured data in Apache Iceberg tables for large-scale analytics 
- See how Cloudera’s Lakehouse Optimizer automatically manages and optimizes query efficiency and storage cost over time for your analytical workloads

ClouderaNOW: Optimizing Your Data Lakehouse: A Deep Dive into the Cloudera Lakehouse Optimizer

Mercy Corps “AI Methods Matcher” solution enables the Mercy Corps team to respond to crises faster and make critical, data-driven decisions when it matters most.  Built on Cloudera AI, in this session, you will learn about:
- How the Mercy Corps solution leverages and adapts Large Language Models (LLMs) with internal datasets to minimize hallucinations
- How the Cloudera AI Inference Service, powered by NVIDIA NIM microservices, is used to enable Mercy Corps to scale its AI solutions rapidly
- How Cloudera Professional Services (PS) built this end-to-end GenAI solution for Mercy Corps

ClouderaNOW: AI Solution for Global Humanitarian Aid with Mercy Corps

As organizations navigate an increasingly complex data landscape, they are faced with challenges arising from the need to understand all their data, ensure data trust, and deliver explainable, AI-ready data. Octopai’s data intelligence as a part of Cloudera Data Platform redefines metadata management by automating metadata collection, discovery, and presentation across the entire data ecosystem. Join this webinar to uncover how Octopai’s revolutionary approach empowers organizations to visualize, understand, and govern all their data to confidently feed their AI and analytics workstreams while maintaining trust and transparency.

Key Takeaways:
- See how Cloudera Octopai enables organizations to deliver explainable, trusted, and AI-ready data that drives smarter decisions and business outcomes.
- Learn why Cloudera Octopai stands alone as the only metadata management tool that fully automates metadata collection, management, and discovery across diverse environments.
- Explore Cloudera Octopai’s innovative multi-dimensional lineage capabilities, providing a complete, end-to-end view of your data’s journey, from creation to consumption, including all the transformations it underwent 

Watch a demo of how Octopai and Cloudera together bridge the gap between the data creator and the data consumer to accelerate AI and analytics.

ClouderNOW: Unlocking AI-Ready Data: Automating Metadata for Trust, Transparency, and Insights with Cloudera Octopai

Join us for an exclusive webinar to discover how Cloudera, Dell Technologies, and NVIDIA are powering the next generation of secure, scalable enterprise AI with AI in a Box.

As more organizations repatriate workloads from the cloud, on-premise AI is emerging as the preferred path for enterprises that prioritize data sovereignty, compliance, and performance. This webinar will explore how our joint solution enables you to deploy, scale, and govern AI workloads entirely within your trusted infrastructure and behind your firewall.

In this session, experts from Cloudera and Dell Technologies will cover:
- The rising demand for hybrid and on-premise AI
- How Private AI keeps data secure and compliant
- Industrial AI use cases across financial services, energy and utilities, and life sciences
- The unique value of combining Cloudera’s hybrid data platform, Dell Technologies’s infrastructure, and NVIDIA accelerated computing
- How to bring AI to your data—without moving sensitive workloads to the cloud

Whether you're modernizing legacy systems or scaling generative AI securely, this is your blueprint for enterprise-ready AI—on your terms.

Introducing AI in a Box for Key Industries

Modern business insight, especially when powered by AI, provides the best value when delivered as business happens.  Organizations that master data immediacy and real-time AI will stay ahead competitively, and this requires a robust and adaptable streaming architecture. Learn how Cloudera’s modern architecture delivers streaming technologies that are transforming the way our customers capture, process, analyze, and distribute real-time data.

During this webinar, experts from GigaOm and Cloudera will outline the current landscape of streaming architectures and share the critical requirements for maintaining agility to address changing business needs. They will also discuss evolving trends, including the role of AI capabilities and vector database connectors, and share where they see the streaming market headed next. 

Join this discussion to understand:
- The integral role of streaming architectures in modern data and AI pipelines.
- Key considerations for building and implementing comprehensive, enterprise-ready streaming solutions.
- Emerging trends and innovations advancing streaming capabilities, including AI and GenAI applicability.
- How to leverage streaming to gain real-time insights and make data-driven decisions faster.

Whether you're a data engineer, analyst, or business leader, this webinar will equip you with the knowledge to navigate the ever-evolving world of streaming data. 

Watch this discussion to learn how you can unlock the power of streaming and propel your data, analytics, and AI strategies forward!

The Power of Streaming in Real-Time AI and Analytics

AI is a top priority for data leaders, but without strong leadership, methodology, and discipline, even the most advanced AI initiatives can fail. Technical expertise alone isn’t enough. In this session, we’ll tackle the real challenges facing today’s data teams and explore the soft skills, best practices, and managerial discipline that empower data leaders to stand out.

Join Cloudera for a fast-paced, no-nonsense discussion, where we’ll break down how data leaders evolve from technical experts to strategic executives and so much more.

Our data leaders will share:
- The essential role of a data leader in the AI and Agentic era
- The five must-have qualities for a data leader 
- Examples of strategic and tactical steps that guarantee success

Beyond AI: The Soft Skills & Methodologies That Set Data Leaders Apart

As enterprises race toward AI adoption, data governance emerges as a cornerstone for ensuring trustworthy, compliant, and high-quality data systems. At the heart of effective governance are data lineage and traceability—critical capabilities that allow organizations to understand where data originates, how it transforms, and where it flows. These insights are essential for maintaining data accuracy, integrity, and accountability, especially when AI models rely on consistent and transparent data sources.

Automated lineage not only enables better data quality and auditing but also supports regulatory compliance and risk management, laying the groundwork for AI systems that are ethical, reliable, and explainable. When governance is underpinned by robust lineage and traceability, organizations can confidently deploy AI, knowing their data is well-governed and trusted.

In this webinar, we’ll explore:
- How data lineage and traceability support effective data governance, compliance, and AI-readiness
- The role of governance in ensuring data quality, compliance, and ethical AI
- Practical strategies to build transparency and accountability into data ecosystems
- How Octopai by Cloudera enables organizations to automate lineage, improve data visibility, compliance, and operationalize governance for scalable, trusted AI initiatives

Join us to learn how your organization can become AI-ready with the power of data lineage-driven insights.

Data Governance in the Age of AI

Accessing and leveraging data across complex systems is a challenge for many enterprises, especially when balancing business intelligence (BI) needs with security and infrastructure requirements. Cloudera Data Visualization solves this by providing secure, integrated visualization, without compromising on control or performance. Cloudera Data Visualization empowers teams to unlock the full potential of BI with rich, intuitive dashboards and AI-powered tools designed to accelerate insights across your enterprise. And now, Cloudera Data Visualization is available anywhere you use Cloudera, including on-premises deployments!

In this session, we’ll walk through how Cloudera Data Visualization brings enterprise-grade analytics directly to your Cloudera data ecosystem, highlighting cutting-edge AI features including natural language querying. We’ll wrap up with a live demo showcasing how easy it is to turn data into actionable insight using Cloudera Data Visualization and a real-world example. Whether you're an analyst or business user, this is your chance to see how Cloudera Data Visualization can transform the way your organization engages with data, wherever it is.

ClouderaNOW: Introducing Cloudera Data Visualization On-Premises with AI-Powered Analytics

Pharmaceutical companies are under pressure to bring new therapies to market faster, safely, and efficiently. Advanced analytics and AI can play a key role in automating workflows and surfacing actionable insights, but it requires unifying, securing, and governing data across the value chain. In this session, join Rameez Chatni, Global Director of AI Solutions for Pharmaceuticals and Life Sciences at Cloudera, where he will share his experience leading data science at a pharmaceutical company, and best practices for building, training, and deploying production-ready AI models for a wide range of life sciences use cases.

Accelerating the Pharmaceutical Value Chain with Agentic AI

Artificial Intelligence

Data Security

Risk Management

Compliance

Machine Learning

Automation

Data Protection

Governance

Best Practices

Data Analytics

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Data Center Management

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Accelerating the Pharmaceutical Value Chain with Agentic AI

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Cloudera, Inc.