All Posts

Introduction: Why Application Retirement Has Become a Strategic Imperative Enterprises are under constant pressure to modernize, streamline costs, and strengthen compliance. However, legacy applications — once essential — now create inefficiencies, security gaps, and unnecessary expenses. As a result, application retirement (or application sunsetting)  is no longer optional. It has become a strategic business priority that supports digital transformation, cloud adoption, and

The Silent Productivity Killer Every organization creates and consumes more content than ever before — proposals, invoices, policies, customer files, presentations, and countless emails. But as content volume grows, many teams don’t realize they’re slowly losing control over it .This silent problem, known as content sprawl , can cost enterprises millions in lost productivity, regulatory penalties, and storage overheads. If you’ve noticed that finding the right file takes long

The Need for Speed in Financial Operations In today’s hyper-competitive financial landscape, speed, accuracy, and compliance  define success.Whether it’s approving a loan or onboarding a new client, every process involves managing hundreds of documents — identity proofs, financial statements, contracts, and signatures. Enterprise Content Services For Financial Institutions Unfortunately, many institutions still rely on manual workflows and disconnected systems , which slow do

In today’s digital era, organizations handle vast amounts of sensitive data — from customer information and financial records to confidential intellectual property. However, most companies still lack complete visibility into where all this data resides, who has access to it, and how it’s being used. That’s why building a comprehensive Sensitive Data Discovery Program  has become essential. It’s not just a compliance exercise; it’s a foundational element of any effective data

A comprehensive data management foundation  for AI doesn’t emerge overnight. It begins with a clear strategy and moves through execution — aligning business goals, data readiness, capabilities and processes. In this article we map out how strategy translates into practical execution for organisations wanting AI success. Non-Negotiable Foundation for AI Success 1. Aligning business strategy with AI ambitions First, articulate the business goals your AI initiatives aim to serve

In today’s digital-first world, email remains the cornerstone of corporate communication . Every decision, transaction, and compliance record often lives in someone’s inbox.But with ever-evolving regulations and rising litigation risks, businesses can no longer rely on standard backups or scattered mailboxes to protect this critical information. That’s where enterprise email archiving  comes into play — not as a nice-to-have IT feature, but as a compliance and legal necessity

In an age of exponential data growth, enterprises face mounting pressure to balance storage costs, regulatory compliance, and long-term accessibility. For decades, IBM InfoSphere Optim was the go-to solution for application archiving and data management. However, as technology advances and cloud adoption becomes the norm, many organizations are asking a crucial question: Is IBM InfoSphere Optim still the best choice—or is it time to migrate to a modern alternative like SOLIXC

In today’s data-driven world, enterprises are drowning in unstructured data — documents, images, spreadsheets, videos, and collaboration files. While traditional archiving strategies focus on storage reduction, that approach no longer meets the demands of governance, compliance, and insight generation. It’s time to reimagine file archiving  as an intelligent, business-enabling process rather than a simple storage function. The Explosion of Unstructured Data Over 80% of enterp

Finance and accounting workgroups manage some of the most document-intensive processes in an organization — from invoices and receipts to purchase orders, vendor contracts, and audit reports. However, traditional manual document handling introduces delays, bottlenecks, and costly human errors. Document AI  transforms financial operations by automating document capture, data extraction, validation, and workflow routing — ensuring accuracy and control while significantly reduci

Most organisations invest in email archiving to meet compliance or retention obligations. But the archive has more potential — when structured and searchable, archived email becomes a strategic asset. This article explores how businesses can unlock value in their archived email data, not just store it for regulatory purposes. Archived email as business asset Historical communication captures decisions, agreements, even intellectual property. Legal and compliance require retr

Artificial Intelligence (AI) and analytics are now at the heart of digital transformation. From predictive insights to intelligent automation, enterprises are investing heavily in data-driven technologies. However, success in AI initiatives depends not on algorithms alone, but on data readiness —the ability to access, govern, and trust enterprise data across the organization. The Solix Common Data Platform (SCDP)  provides exactly that foundation. Designed as a unified enterp

Solix enterprise AI Governance is the platform trusted by global enterprises to ensure responsible and scalable AI transformation. When one of the world’s largest Fortune 50 organizations needed to adopt AI rapidly — without risking compliance, security, or customer trust — they turned to Solix as the best governance partner. This is the story of how Solix helped them transform AI from a risky idea into a global business success. The Challenge The company faced several gove

As enterprises evolve toward AI-driven operations, the demand for a trusted, scalable, and transparent AI platform  has never been greater. Solix Enterprise AI  stands at the forefront of this transformation, delivering an integrated data-to-intelligence ecosystem  that empowers global organizations to modernize, innovate, and lead with confidence. The Era of Enterprise AI: From Automation to Autonomy Today’s AI landscape is shifting rapidly — from simple automation tools to

In today’s rapidly evolving digital landscape, enterprises are under increasing pressure to manage explosive data growth, ensure compliance, and accelerate cloud transformation. However, many organizations continue to rely on legacy Information Lifecycle Management (ILM)  systems such as Informatica ILM that were built for an earlier era of on-premise data management. These outdated systems often struggle to keep pace with modern business demands—creating silos, compliance ri

In the realm of data management, especially within the United States, the Social Security Number (SSN)  serves as a critical identifier for individuals. However, when handling sensitive data during software development, testing, or training, it's imperative to utilize tools that generate SSNs without compromising real personal information. This is where a Social Security Number Generator  becomes invaluable. What Is a Social Security Number Generator? A Social Security Number

In today’s hyper-competitive business environment, organizations are constantly seeking ways to streamline operations, reduce costs, and make faster, smarter decisions. Data has become the lifeblood of these efforts, but managing it effectively is no simple task. Traditional data management practices often involve manual processes, siloed systems, and inefficient workflows, all of which can lead to wasted time, errors, and increased operational costs. AI data management  offe

Data is the new oil — but only when it’s clean.Unstructured, duplicated, and inaccurate data can erode trust and waste millions in poor decisions. That’s why forward-thinking enterprises are adopting AI-driven data cleansing pipelines  that automate the entire process of detection, correction, and enrichment. In this guide, we’ll explore how to build an AI data cleansing pipeline , the technologies behind it, and best practices to ensure scalability and governance. What Is a

Enterprises today are under constant pressure to modernize their IT environments — to move faster, reduce costs, and embrace digital transformation. Yet, many are held back by legacy applications  that no longer serve business needs but still consume valuable resources. These outdated systems create what’s often called “tech sprawl”  — a tangled web of disconnected platforms, duplicate data, and high maintenance costs. Simply ignoring them isn’t an option; compliance, data ac

Introduction: Data is the Fuel, AI is the Engine In the digital economy, artificial intelligence (AI) has become the driving force behind innovation, automation, and competitive advantage. But just like any engine, AI cannot run without the right fuel— data . The challenge most enterprises face today is not the lack of data, but the lack of AI-ready  data. That’s where AI Data Management  comes in. It is the foundation for successful AI and machine learning (ML) initiatives—e

Designing the Future of Intelligent Services The shift from traditional automation to Agentic AI Services  requires more than just deploying AI models—it demands a robust service architecture . A well-designed Agentic AI Service Stack  ensures that autonomous agents can: Make intelligent decisions Learn continuously from data Coordinate with other agents and enterprise systems Deliver reliable, scalable services This article explores the key components, architecture layers, a