databox

Why Databox MCP Wins for AI Analytics Over Individual Connector MCPs

Mar 12, 2026 By Alexander B. Pavlinek In Databox
The Model Context Protocol (MCP) has given AI assistants something they’ve never had before: a standardized way to pull live data from external systems. Instead of just generating text, an AI agent can now query your CRM, check ad performance, or pull revenue numbers in real time. The industry’s response has been predictable. Every major platform is racing to build their own MCP server.
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confluent

Why ELT Can't Keep Up in the Era of High-Scale Data Engineering

Mar 12, 2026 By Shruthi Panicker In Confluent
While winning in artificial intelligence (AI) is critical to the future of business, old-school analytics—visualizations, dashboards, and infrequent reports—are still core to an organization's data needs. Behind the scenes, this analytics ecosystem remains heavily hydrated by batch-based ELT data integration. For a long time, this made perfect sense, as data sources were fewer, data volumes were manageable, and analytics consumers were limited.
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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.
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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.
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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.
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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.
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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.
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