Systems | Development | Analytics | API | Testing

dreamfactory

On-Prem Enterprise Alternatives to Cloud-Hosted AI Dev Tools | DreamFactory

Feb 11, 2026 By Terence Bennett In DreamFactory
This guide explains how enterprises can replace cloud-hosted AI developer tools with secure, on-prem alternatives. It covers architectures, governance, and selection criteria that meet compliance and performance goals. You will learn how teams stand up private code assistants, model gateways, vector search, and policy controls behind the firewall.
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databox

AI Analytics with Databox

Feb 11, 2026 By Alexander B. Pavlinek In Databox
You know the feeling. It’s Monday morning, and someone asks, “How are we doing?” Suddenly, you’re toggling between six tabs, exporting CSVs, and trying to remember which dashboard has the number they actually need. By the time you’ve pulled everything together, the meeting’s over. This was the problem we originally built Databox to solve: centralizing scattered data into dashboards that actually make sense. But dashboards were only the first step.
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antino

How to Prioritize AI Investments Using the Impact-Maturity Matrix?

Feb 11, 2026 By Radhakanth Kodukula In Antino
AI is no longer an experimental line item in the budget. For most U.S. CXOs, the real challenge in 2026 is far more practical: where should we place our bets first? With dozens of AI use cases competing for attention, capital, and executive sponsorship, prioritization has become a boardroom conversation, not a lab discussion. Are you investing in AI initiatives that can move the needle this fiscal year, or are you spreading resources thin across pilots that never scale?
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Ep 60 | How AI FOMO and Lost Focus on Culture Harm ROI with Jen Stirrup

Feb 11, 2026 By Cloudera, Inc. In Cloudera
As AI and BI projects race to deliver quick wins, many organizations overlook what truly determines long-term success: the people behind the data. In this episode of The AI Forecast, Jen Stirrup, author, speaker, and founder of Data Relish, joins host Paul Muller to dissect the difference between data literacy (reading the numbers) and data fluency (speaking the language of business). Jen challenges the industry’s obsession with AI FOMO, warning that rushing to deploy models on shaky cultural foundations is the fastest way to derail ROI.
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WSO2

Are Your APIs Ready for AI? Preparing Your Landscape for Intelligent Consumption

Feb 11, 2026 By Erik Wilde In WSO2
Getting APIs to work with AI has become one of the major themes in the API space recently. And that’s not surprising because APIs are at the core of an AI’s ability to reach out into the world, to get access to data and information, and to invoke commands and workflows to act. This was always what APIs were for, but in this article we will dive a little deeper what that evolution looks like, and what that means for API governance and management.
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dreamfactory

The Hidden Cost of Building Your Own LLM Data Layer

Feb 10, 2026 By Kevin Hood In DreamFactory
For most businesses, the break-even point for self-hosting only makes sense if processing 100–200 million tokens daily. Otherwise, managed API solutions are more cost-effective, faster to deploy, and easier to maintain. Alternatives like DreamFactory offer pre-built, secure API layers, saving time and money while simplifying enterprise AI integration. Bottom line: Building your own LLM data layer is a major investment with hidden challenges.
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qlik

How to Make Data Work for Agentic AI

Feb 10, 2026 By Brendan Grady In Qlik
For decades, organizations have worked to use data to make better decisions and drive better outcomes. Data has become the lifeblood of the business, and AI now has the power to unlock it in new ways. The paradigm is shifting, from dashboards and visual interfaces to AI driven experiences. But too much data is still stuck in silos, incomplete, and inaccurate. Many analytics workflows remain manual, which slows time to value, limits insight quality, and raises cost.
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Delphix Demo Delphix MCP Server: Tutorial

Feb 10, 2026 By Perforce In Perforce
In this demonstration, Perforce Delphix expert Jatinder Luthra gives an insightful overview of using the Delphix MCP Server. After highlighting data operations’ latest challenges and MCP basics, Luthra takes you on a demo journey following a QA Lead, Sarah, featuring example scenarios and use cases. Find out how you can use the Delphix MCP Server prompts to bolster your organization’s testing, troubleshooting, and cross-team collaboration — watch the demo now.
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kong

From APIs to Agentic Integration: Introducing Kong Context Mesh

Feb 10, 2026 By Alex Drag In Kong
The promise of agentic AI is clear: autonomous systems that can reason, plan, and act on your behalf. But there's a fundamental problem standing between that vision and enterprise reality: agents need context to make decisions, and that context lives scattered across your organization. Context is any data — or any abstraction that enables access to data — that an agent needs to do its job. Customer records in your CRM. Inventory levels behind your fulfillment APIs.
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