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 As healthcare organizations accelerate their digital transformation efforts, the need for robust, compliant, and scalable Healthcare Data Management has never been more urgent. From electronic health records (EHRs) to diagnostic imaging and insurance claims, healthcare systems generate terabytes of sensitive data daily—data that must be securely stored, intelligently managed, and made available for real-time decision-making. Solix is at the forefront of this transformation. Its healthcare-ready Common Data Platform (CDP) helps providers, payers, and pharmaceutical companies manage complex data environments with enterprise-grade compliance, performance, and agility. Why Legacy Systems No Longer Meet Healthcare Needs The traditional approach to healthcare IT—fragmented databases, siloed systems, and outdated archiving solutions—cannot keep up with the exponential growth of clinical, operational, and administrative data. Legacy challenges include: Escalating costs of maintai...

In an age where every interaction leaves a digital footprint, safeguarding consumer data privacy is not only a legal mandate—it’s a strategic business advantage. As data volumes grow and privacy regulations become stricter, enterprises are under pressure to prove they are responsible custodians of personal data. Solix Consumer Data Privacy , part of the Solix Common Data Platform (CDP) , is purpose-built to help large organizations automate compliance, streamline subject rights management, and enforce data minimization policies across diverse environments—cloud, on-premise, and hybrid. Why Consumer Data Privacy Now? According to Gartner, by 2025: “60% of large enterprises will adopt privacy-enhancing computation techniques to comply with data protection laws.” As global mandates like GDPR , CCPA/CPRA , DPDP (India) , and LGPD expand, enterprises must do more than just publish privacy policies. They need technical enforcement of rights like access, erasure, consent, and portability...

 Legacy ERP systems like PeopleSoft are still deeply embedded in enterprise IT, holding critical data for HR, finance, procurement, and payroll. But with cloud-first strategies and increasing regulatory demands, keeping these legacy apps alive just to access historical data no longer makes sense. It’s time to act. Cloud Data Management for PeopleSoft is the key to simplifying compliance, reducing cost, and unlocking real value from archived ERP data. The Problem: Legacy PeopleSoft Still Consumes Enterprise Resources Even after migrating to platforms like Oracle Fusion or Workday, many companies continue to operate their legacy PeopleSoft environment just to retain historical records. This creates serious issues: 🔧 Maintenance of outdated infrastructure 💸 High costs for database licenses and IT support 🔐 Data compliance risks (SOX, GDPR, HIPAA) ❌ Inaccessible data for audits or analytics “By 2025, 80% of enterprises will shut down their traditional data center...

  In the rapidly evolving world of Artificial Intelligence (AI), building intelligent systems goes beyond just training large language models or deploying neural networks. At the heart of scalable, ethical, and enterprise-ready AI lies one critical foundation: Information Architecture for AI . What Is Information Architecture for AI? Information Architecture (IA) in the context of AI refers to the structured framework that governs how data is collected, stored, enriched, and used by AI systems. For enterprises, IA for AI enables data governance, discovery, and compliance —vital to fueling intelligent workflows across industries like finance, healthcare, insurance, and more. 💡 "Successful AI initiatives depend not only on algorithms, but on how well data is structured, governed, and contextualized across systems." — Gartner, 2024 Magic Quadrant for Data Management Why Enterprises Need a Strong IA for AI Modern enterprises face a deluge of structured and unstructured ...

 In the rapidly evolving world of Artificial Intelligence (AI), building intelligent systems goes beyond just training large language models or deploying neural networks. At the heart of scalable, ethical, and enterprise-ready AI lies one critical foundation: Information Architecture for AI . What Is Information Architecture for AI? Information Architecture (IA) in the context of AI refers to the structured framework that governs how data is collected, stored, enriched, and used by AI systems. For enterprises, IA for AI enables data governance, discovery, and compliance —vital to fueling intelligent workflows across industries like finance, healthcare, insurance, and more. 💡 "Successful AI initiatives depend not only on algorithms, but on how well data is structured, governed, and contextualized across systems." — Gartner, 2024 Magic Quadrant for Data Management Why Enterprises Need a Strong IA for AI Modern enterprises face a deluge of structured and unstructured d...

 In today’s high-risk regulatory environment, insurance providers face mounting pressure to modernize how they manage documents, streamline claims workflows, and ensure airtight compliance. From underwriting to audits, managing vast volumes of unstructured data is no longer just an operational challenge—it’s a strategic imperative. Enterprise Content Services For Insurance Providers —the AI-ready platform built for the insurance industry. Whether it's claims processing automation , policy document lifecycle management , or secure content archiving , Solix ECS delivers end-to-end control over your insurance content workflows. Why Insurance Providers Need Smarter Content Services Insurance carriers manage terabytes of policyholder data, claims, and communications—much of it unstructured. Without intelligent automation, this data becomes a compliance risk. “Insurers that modernize core content workflows with AI and automation will be best positioned to reduce cost and improve gov...

  Introduction Enterprises often struggle to locate and secure sensitive information—like PII, PCI, and PHI—scattered across structured databases, unstructured document stores, and cloud and non-production environments. Solix Sensitive Data Discovery offers a powerful, AI-enhanced platform that automatically uncovers and classifies sensitive data at scale, enabling true visibility, proactive compliance, and seamless data protection. What Is Solix Sensitive Data Discovery? This solution is a systematic, metadata-driven discovery engine within the Solix Common Data Platform (CDP). It scans across on-prem, hybrid, and cloud data ecosystems, detecting sensitive content using advanced techniques: Pattern and keyword recognition Contextual and ML-based analysis Prepopulated rules for PII/PCI/PHI Custom logic unique to a customer’s business This enables organizations to identify sensitive data footprints and feed them into masking, archiving, compliance, and governance w...