Systems | Development | Analytics | API | Testing

Telco Enterprise Data Platforms: Key Success Factors in Building for an AI Future

Since 5G networks began rolling out commercially in 2019, telecom carriers have faced a wide range of new challenges: managing high-velocity workloads, reducing infrastructure costs, and adopting AI and automation. Because data management is a key variable for overcoming these challenges, carriers are turning to hybrid cloud solutions, which provide the flexibility and scalability needed to adapt to the evolving landscape 5G enables.

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.

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.

Empowering Developers with Yellowfin 9.14: Seamless Embedded Analytics for Modern Applications

Yellowfin’s mission has always been to simplify analytics and make actionable insights easily accessible for everyone. With the release of Yellowfin 9.14, we’re focusing on providing developers with the tools to integrate our advanced analytics into their software seamlessly, expand integration capabilities, and provide a significant step forward in making embedded business intelligence (BI) more accessible and impactful.

Yellowfin Unveils Version 9.14 with AI Assistants, REST API Enhancements

AUSTIN, TEXAS, USA, December 13, 2024 - Yellowfin, a leading global provider of business intelligence (BI) and analytics solutions, has officially launched version 9.14, bringing customers a host of significant improvements aimed at enhancing user experience, reporting, and REST API functionality.

Cloudera Commits to CISA's "Secure by Design" Pledge, Strengthening Security for Our Customers

We’re proud to announce that Cloudera signed the Cybersecurity and Infrastructure Security Agency (CISA) “Secure by Design” pledge, joining a network of industry leaders dedicated to embedding security at every stage of the product lifecycle. To be good stewards of our customers’ data, it is critical for security to be a fundamental component of every product and service we offer–not just an afterthought.

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?

Embedded Spotter, the AI Analyst that delivers actionable insights where you work

With ThoughtSpot Embedded’s modern developer tools, you can embed Spotter into any of your business applications. Spotter integrates effortlessly into your preferred platforms, seamlessly embedding within existing business applications, digital productivity tools, and custom agents to meet you where you work, so your users can ask questions of their data anywhere, at any time.

UK Data Concerns Soar as AI Surges - 42% of IT Leaders Identify Data Quality as Major Barrier to AI Success

Hitachi Vantara survey finds data demands to triple by 2026, highlighting critical role of data infrastructure in AI success and revealing gaps in data governance, security, and sustainability.