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  • The Rise Of Enterprise Intelligence

    The Rise Of Enterprise Intelligence

    Read this paper to understand enterprise AI infrastructure challenges, solutions.

  • Enterprise Information Architecture for Gen AI and Machine Learning

    Enterprise Information Architecture for Gen AI and Machine Learning

    Solix Common Data Platform – Operating System for the Enterprise

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Solix Leadership Lessons

Discover insights from Solix Technologies leadership team. Our experts will deliver key knowledge sharing on critical enterprise data management issues and essential strategies for becoming AI-ready.

  • Building an AI Governance Framework: Roles, Policies, and Controls for the Enterprise

    Building an AI Governance Framework: Roles, Policies, and Controls for the Enterprise

    A few years ago, "AI governance" mostly meant a slide in a board deck and maybe a one-page ethics statement nobody read twice. That's not where most enterprises are anymore. AI is approving loans, screening resumes, drafting customer correspondence, and ...

  • Beyond RHITL: It’s Time to Name the Loop After the Expert

    Beyond RHITL: It’s Time to Name the Loop After the Expert

    Executive Summary (TL;DR) RHITL established that the right human must be in the loop. This blog takes the next step: naming the loop after the expert. “Human in the Loop” is engineer-speak. “Clinician in the Loop” is the language of ...

  • Switch To Production: Building An AI-Ready Data Foundation

    Switch To Production: Building An AI-Ready Data Foundation

    As organizations embrace enterprise AI, a fundamental question rumbles beneath the excitement: How do we govern enterprise AI and switch pilot projects into production? The answer depends less on AI’s unseen algorithms and far more on the data that supports ...

  • Your AI Is Only as Good as Your Data

    Your AI Is Only as Good as Your Data

    My CEO, Sai Gundavelli, shared a recent Gartner report on the top pressures CIOs face right now. One section captured the AI production problem more clearly than anything I’ve read this year. The numbers laid out the AI investment paradox ...

  • The AI Reliability Gap

    The AI Reliability Gap

    The AI Readiness Problem No One Can Ignore AI is moving from experiment to enterprise standard at remarkable speed. Teams are rolling out copilots, conversational interfaces, and agentic workflows with real ambition, but many organizations are discovering that deployment speed ...

  • Enterprise Data Preservation: Turning Application Retirement into Strategic Advantage

    Enterprise Data Preservation: Turning Application Retirement into Strategic Advantage

    Executive Summary Enterprise data preservation has moved far beyond cost savings. Three forces—cloud migration, surging M&A activity, and AI’s demand for governed data—have made it a strategic imperative. This post examines how application retirement now includes cybersecurity urgency, how M&A ...

  • Remember, Backup is not Archiving!

    Remember, Backup is not Archiving!

    I’ve been in the Information Lifecycle Management space since my days with Princeton Softech, and then IBM Optim. Way back then there was a misunderstanding about Backups really being a proxy for Archives. They aren’t. I’ve recently gotten some feedback ...

  • The Great AI Splinter: Why Sovereign Stacks are Replacing Global Platforms

    The Great AI Splinter: Why Sovereign Stacks are Replacing Global Platforms

    Gartner® just released a prediction (https://www.gartner.com/en/newsroom/press-releases/2026-01-29-gartner-predicts-35-percent-of-countries-will-be-locked-into-region-specific-ai-platforms-by-2027). “By 2027, 35% of countries will be locked into region-specific AI platforms using proprietary contextual data. Gartner also predicts that platform lock-in will rise from 5% to 35% by 2027.” This is not about ...

  • How to Choose the Right Data Masking Solution – and What’s Next for the Industry

    How to Choose the Right Data Masking Solution – and What’s Next for the Industry

    Data breaches aren’t slowing down—and neither are the demands for tighter data protection. With rising cyberattacks, data privacy regulations tightening globally, and non-production environments becoming a major source of breaches, data masking has shifted from a best practice to a ...

  • Inside Data Masking: Techniques, Challenges, and Best Practices

    Inside Data Masking: Techniques, Challenges, and Best Practices

    Data breaches cost businesses an average of $4.45 million per incident in 2023, and 83% of organizations admitted to multiple breaches in the past year, securing sensitive data is no longer optional—it’s existential. Data masking has emerged as a critical ...

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Solix Technologies, Inc. (Santa Clara, CA) is a leading Data + AI company helping Fortune 2000 enterprises transform enterprise data into trusted AI-powered business outcomes. The Solix Common Data Platform (CDP), Enterprise Content Services (ECS), and Enterprise Data Governance (EDG) provide a trusted foundation to unify, govern, secure, and activate enterprise data for AI. Solix Enterprise AI (EAI), a fourth-generation AI-native data platform, combines enterprise data warehousing, semantic intelligence, natural language interaction, and autonomous AI agents. With capabilities such as Data Sense and Data Ask, organizations can interact with enterprise data in plain language, build AI-powered applications, automate business processes, and deploy intelligent agents on trusted enterprise knowledge. Supporting multi-cloud, hybrid, and sovereign AI deployments, Solix enables organizations to securely manage and activate data wherever it resides.

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