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Cloudera's Take: What's in Store for Data and AI in 2025

In the last year, we’ve seen the explosion of AI in the enterprise, leaving organizations to consider the infrastructure and processes for AI to successfully—and securely—deploy across an organization. As we head into 2025, it’s clear that next year will be just as exciting as past years. Here, Cloudera experts share their insights on what to expect in data and AI for the enterprise in 2025.

Choosing the Right-Sized LLM for Quality and Flexibility: Optimizing Your AI Toolkit

LLMs are the foundation of gen AI applications. To effectively operationalize and de-risk LLMs and ensure they bring business value, organizations need to consider not just the model itself, but the supporting infrastructure, including GPUs and operational frameworks. By optimizing them to your use case, you can ensure you are using an LLM that is the right fit to your needs.

AI Observability: Navigating Challenges and Unlocking Opportunities

Observability refers to understanding a system’s internal state by examining its external outputs, like logs, metrics, and traces. Borrowed from control theory, it’s the ability to infer what’s happening inside a system without direct access. To visualize observability, consider the human body. We don’t need to open it up to understand its internal state. By measuring external signals like body temperature, heart rate, or blood pressure, we can infer what’s happening inside.

A Visionary Future with Enterprise GenAI

An overview of how GenAI empowers Cloudera customers to drive impactful business outcomes, and how Cloudera AI makes it easier for organizations to deploy and scale AI successfully. We dive into powerful tools like Accelerators for Machine Learning Projects (AMPs), Cloudera AI Inference service, AI Assistants, and end-to-end GenAI platforms, all designed to accelerate your AI journey.

The Real Impact of AI in 2024

Still waiting for AI to integrate into workflows seamlessly? You’re not alone. AI still feels stuck in "fantasy land" for many teams, but progress is getting faster. 2025 could be the year we finally make AI’s potential a reality—but only if we take action now. Catch the conversation on the latest episode of Test Case Scenario to explore the real-world progress of AI and what it will take to move beyond the hype.

Run and Secure LLM Traffic with Kong AI Gateway

Learn how to build and manage robust AI infrastructure using Kong AI Gateway for efficient GenAI application development and deployment. From AI Gateway essentials to advanced management techniques, you'll learn to optimize your applications, implement governance and security measures, and adapt to various deployment environments.

Ep3: Data, AI, and the Hybrid Hustle: Connecting the Dots in a Fast-Paced World

Technology in the enterprise is evolving at a record pace, making it increasingly difficult to keep up with the latest "tech du jour." AI has only accelerated this evolution, bringing about a data reckoning—especially as more organizations adopt hybrid models to manage their data. Both users and organizations are seeking data platforms that can connect the dots of their data today while adapting to tomorrow's demands. This shift underscores the growing demand for open standards. But what does that kind of platform experience look like today?

What is Agentic AI? The Next Big Leap in Artificial Intelligence

You’ve probably heard of generative AI, which uses deep learning models to simulate human decision-making by processing large amounts of data, and then responding with pertinent new content. Since the arrival of ChatGPT in 2022, generative AI has come a long way — but now there’s another technology on the scene that could further revolutionize the capabilities of AI. Read on to learn more about agentic AI and how it could transform the business landscape.

TestTalks: Scaling AI in Testing: Challenges, Solutions, and Real-World Impact

“AI is changing the game in software testing – but are we ready?” In the first episode of Test Talks, our speakers at Katalon explore the transformative impact of AI on testing, breaking down challenges like integrating AI with legacy systems, data privacy concerns, and how to scale AI solutions within enterprises. Join us on December 7th for a deep dive into how testing teams are navigating this AI-driven revolution. Don’t miss it!