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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.

  • Part 4 of 5 — Application Silos to Real Interoperability: Why F.A.I.R. Data Depends on the Application Stack That Feeds It

    Part 4 of 5 — Application Silos to Real Interoperability: Why F.A.I.R. Data Depends on the Application Stack That Feeds It

    CLINICAL TRIAL DATA ARCHIVING — PART 4/5 Part 1 of this series covered cost center to strategic asset. Part 2 covered rear-view mirror data becoming AI training data. Part 3 covered archival burden from M&A becoming a unified advantage that ...

  • Part 3 of 5 — Archival Burden to Unified Advantage: How Unified Archives Turn Biotech Acquisitions Into Cross-Cancer Research

    Part 3 of 5 — Archival Burden to Unified Advantage: How Unified Archives Turn Biotech Acquisitions Into Cross-Cancer Research

    CLINICAL TRIAL DATA ARCHIVING — PART 3/5 Part 1 of this series covered cost center to strategic asset. Part 2 covered rear-view mirror data becoming AI training data. This blog is dimension three: archival burden from disparate systems becoming a ...

  • From Data Swamp to AI-Ready Asset: A Maturity Model for Enterprises

    From Data Swamp to AI-Ready Asset: A Maturity Model for Enterprises

    Most Enterprise Data Is Not Complex. It Is Ungoverned. Organisations describe their data environment as complex when they mean something more precise: data has accumulated across systems that were never designed to share it, retired applications hold decades of business ...

  • Data Architecture Blueprint: Building the Technical Foundation for Enterprise AI

    Data Architecture Blueprint: Building the Technical Foundation for Enterprise AI

    The Conversation Most AI Programmes Are Not Having The organisations that move from AI pilot to AI programme share one pattern: they resolved the architecture question before scale revealed it. They defined what the data foundation needed to look like ...

  • Part 2 of 5 — Rear-View Mirror to Training Data: How Archived Clinical Trial Data Is Teaching AI to Design the Next Trial

    Part 2 of 5 — Rear-View Mirror to Training Data: How Archived Clinical Trial Data Is Teaching AI to Design the Next Trial

    CLINICAL TRIAL DATA ARCHIVING — PART 2/5 Part 1 of this series covered dimension one — cost center to strategic assets. This post covers dimension two: how rear-view mirror data becomes training data for AI/ML models. In January 2026, the ...

  • Part 1 of 5 — Cost Center to Strategic Asset: How Archived Clinical Trial Data Is Already Shaving Years Off Drug Development

    Part 1 of 5 — Cost Center to Strategic Asset: How Archived Clinical Trial Data Is Already Shaving Years Off Drug Development

    Last week, I posted my blog that mapped five shifts remaking clinical trial data archiving, from a compliance obligation into R&D infrastructure. This is the first deep dive: dimension one, cost center to strategic asset transformation, using archived data to ...

  • Nobody budgets for the second system

    Nobody budgets for the second system

    Every merger model accounts for synergy. Almost none accounts for the fact that the losing platform doesn't actually go away — it just goes quiet, and stays on the invoice. Most post-merger IT reviews start the same way — with ...

  • Stop Asking How the Platform Works. Ask What Changes on Monday

    Stop Asking How the Platform Works. Ask What Changes on Monday

    Ask about any data platform and the answer usually comes back as architecture: the knowledge graphs, the query pipelines, the governance design. But the buyers across the table now ask a different question first, and it's the right one: what ...

  • Modernizing Legacy Archiving to State of the Art AI Enabled

    Modernizing Legacy Archiving to State of the Art AI Enabled

      Why Organizations Are Moving Beyond Optim, OpenText InfoArchive and other Legacy Archive systems to Modern Cloud-Native Archiving Platforms The Legacy Archiving Crisis: A Technology That Never Updates If your organization is running IBM InfoSphere Optim, OpenText InfoArchive, Documentum, Content ...

  • Modern Email Archiving: From Compliance Burden to Strategic Asset

    Modern Email Archiving: From Compliance Burden to Strategic Asset

    How AI-Powered Archiving Transforms Email Management for Enterprise Organizations The Email Problem: Scale and Neglect Every single day, 392.5 billion emails flow across the globe1 That's roughly 120+ messages per office worker, every day. Over a year, a single enterprise ...

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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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