Systems | Development | Analytics | API | Testing

cloudera

Scalable AI Economics: Achieving Secure, Hybrid Intelligence with Cloudera, AMD, and Dell Technologies

Mar 11, 2026 By Stephen Catanzano In Cloudera
Enterprise interest in generative and agentic AI has accelerated dramatically over the past two years. Organizations across industries are exploring how AI agents, intelligent assistants, and automation can improve productivity, streamline operations, and unlock insights from growing volumes of enterprise data. Yet as enthusiasm grows, so do questions around cost, security, and operational complexity.
Read Post
thoughtspot

How ThoughtSpot Is Powering the Agentic Analytics Growth Across EMEA

Mar 11, 2026 By James Smith In ThoughtSpot
The EMEA region is undergoing a massive transformation, driven by companies demanding instant, actionable insights embedded directly into their applications and workflows. This fundamental shift away from legacy BI has translated into record-breaking momentum for ThoughtSpot, positioning EMEA as our fastest-growing region globally. The Agentic Analytics revolution is here, and ThoughtSpot is delivering on the promise to make the world more fact-driven.
Read Post

Ep 64 | AI Managed Services: A Smarter Path for SMEs

Mar 11, 2026 By Cloudera, Inc. In Cloudera
AI adoption is accelerating across small and medium-sized enterprises (SMEs), but many businesses lack the in-house expertise to build and manage AI infrastructure effectively. In this episode of The AI Forecast, Paul Muller speaks with Hyve’s Marketing and Operations Director, Charlotte Webb, about how managed service providers (MSPs) are reshaping AI adoption for SMEs. They explore the build vs. buy debate in AI solutions and why cloud computing alone doesn’t guarantee lower costs, better performance, or compliance.
View Video

Evolve25: Customer Fireside Chat with Banco do Brasil

Mar 11, 2026 By Cloudera, Inc. In Cloudera
Learn how the oldest bank in Brazil manages over 800 AI solutions and 5,500 GenAI use cases while maintaining a "Responsible AI" framework. Discover the bank's three-block ROI strategy focusing on operational efficiency, customer satisfaction, and new business models. This session is a must-watch for enterprise leaders navigating the intersection of legacy infrastructure, culture shifts, and Agentic AI.
View Video
confluent

How to Implement Your First ML Function in Streaming

Mar 11, 2026 By Confluent Staff In Confluent
The most effective way to adopt streaming machine learning (ML) is not by rebuilding your entire platform but by adding a single, high-value inference step to your existing data flow. This incremental approach allows you to transition from batch-based processing to real-time decision-making without the risk of a "big bang" migration, ensuring that your microservices architecture remains agile and responsive. What Is Streaming ML? ML in streaming is the practice of.
Read Post
InsightSoftware

Why Your AI Pilot Won't Make It to Production (And What to Do About It)

Mar 11, 2026 By InsightSoftware In InsightSoftware
Most AI pilots fail to reach production not because the models don’t work, but because enterprises struggle with data governance. While pilot-phase AI projects demonstrate impressive results in controlled environments, they hit governance walls when moving to enterprise-scale deployments. This post examines why AI initiatives stall before production and provides a governance-focused approach for breaking the cycle.
Read Post
confluent

Confluent Cloud for Government Achieves FedRAMP Moderate: Mission-Ready Data Streaming for Federal Agencies

Mar 10, 2026 By Mike Wallace In Confluent
Federal agencies must perform a high-stakes balancing act: Modernize legacy systems, break down data silos, and deliver real-time citizen services—all while operating under strict security and compliance requirements with constrained budgets and staff. Today, we're announcing that Confluent Cloud for Government (CCG) is now available on the FedRAMP Marketplace, with FedRAMP Moderate authorization achieved through the competitive FedRAMP 20x Pilot program.
Read Post
confluent

From Dumb Pipes to a Smart Data Plane: Introducing Schema IDs in Apache Kafka Headers

Mar 10, 2026 By David Araujo In Confluent
Apache Kafka powers massive, mission-critical data streams at enterprises worldwide. But in many organizations, those streams still behave like dumb pipes: raw JSON or bytes flowing between services, limited governance, weak contracts between teams, and data that’s hard to reuse for analytics or artificial intelligence (AI).
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.