05 Mar, 2026
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Solix: Enterprise Archiving & AI Platform | 2026 Market Guide

Solix: Enterprise Archiving & AI Platform | 2026 Market Guide

SAP ECC to SAP S/4HANA Migration: Architectural Decision Framework for the Japan Ministry of Economy, Trade and Industry (METI)

SAP ECC to SAP S/4HANA Migration: Architectural Decision Framework for the Japan Ministry of Economy, Trade and Industry (METI)

Data Lake Architecture in the Federal Trade Commission: Preventing a High-Cost Data Swamp Through Governance, Metadata, and Lifecycle Controls

Data Lake Architecture in the Federal Trade Commission: Preventing a High-Cost Data Swamp Through Governance, Metadata, and Lifecycle Controls

Architectural Constraints and Failure Modes in AI-Driven Drug Discovery Programs

Architectural Constraints and Failure Modes in AI-Driven Drug Discovery Programs

Data Retention as Financial Liability: Architectural Risk, Cost Mechanics, and Defensible Deletion Strategy

Data Retention as Financial Liability: Architectural Risk, Cost Mechanics, and Defensible Deletion Strategy

E-Business Suite Modernization in Regulated Agencies: How “e biz” Fails When Evidence, Controls, and Data Gravity Collide

E-Business Suite Modernization in Regulated Agencies: How “e biz” Fails When Evidence, Controls, and Data Gravity Collide

Reimagining the Enterprise in the Age of AI

As we enter a new year, I’ve been reflecting on a question nearly every CEO, CIO, and CTO is grappling with today: Over the past two years, enterprises have invested…
Sai Gundavelli

Data Management: The Non-Negotiable Foundation for AI Success

Listen to the blog: AI is EVERYWHERE, and because of that, organizations are racing to implement artificial intelligence solutions to gain the perceived benefits using it provides. However, as a…
Stephen Tallant

The State of Cloud-driven Transformation

The world is increasingly moving towards the cloud, and cloud computing has emerged as a pivotal force driving business transformation across industries. This paradigm shift reshapes how organizations operate, innovate,…
Haricharaun Jayakumar

Full Data Lifecycle – What is it?

Data is the foundation of every modern organization, shaping decisions, driving innovation, and fueling day-to-day operations. However, the value of data isn’t static—it evolves from the moment it’s created to…
Vishnu Jayan

What’s the Best Way to Store Data for Decades or Centuries?

Blog Commentary: Preserving information for future generations has become both more critical and more challenging than ever before. As technology evolves at a breakneck pace, ensuring that our data remains…
Stephen Tallant

GDPR-Compliant Data Archiving Solution Architecture: Decision Questions, Control Mechanics, and Failure Modes

Barry Kunst0

Executive Summary (TL;DR) A GDPR-compliant data archiving solution is an evidence system, not a storage system: it must prove lawful basis, enforce retention, and produce audit-grade traces for deletion, access, and policy changes. DSAR performance is an indexing problem with governance constraints: if identity resolution and content-addressable search are weak, DSAR timelines fail under surge […]

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21 mins read

Computer-Aided Drug Discovery (CADD): Architectural Decision Framework for Data, Models, and Scientific Throughput

Barry Kunst0

Executive Summary (TL;DR) CADD initiatives are constrained less by algorithms than by data reliability, validation latency, and workflow friction. Prediction accuracy without experimental translation fails to produce operational value. Infrastructure throughput, storage architecture, and environment stability directly affect scientific cycle time. Regulated environments introduce lineage, reproducibility, and auditability requirements that reshape modeling choices. Trust breakdown […]

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7 mins read

Data Masking Capability: Risk Reduction Without Analytical Collapse

Barry Kunst0

Executive Summary (TL;DR) Data masking is a risk transformation control, not a confidentiality boundary like encryption. The primary failure mode is analytical distortion caused by unrealistic masked values. Deterministic masking preserves joins and model behavior but increases correlation risk. Dynamic masking protects runtime access paths but introduces latency and policy complexity. Masking succeeds only when […]

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8 mins read

The Architecture of Trust: Why Healthcare AI Needs Governance at Its Core

Mark Lee0

Earlier this week, I had the privilege of speaking at TAL Healthfest 2026 in Hyderabad’s T-Hub—one of the world’s largest innovation campuses—under the banner of the Touch-A-Life Foundation. The audience was a cross-section of healthcare leaders, technologists, and policymakers, all grappling with the same question: how do we move at the speed of AI while […]

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9 mins read

Why Data Lakes Fail the Trust Test and How to Build an AI-Ready Data Layer

Barry Kunst0

TL;DR Data lakes fail on trust: not storage, not compute, not formats. AI raises the stakes: ambiguity becomes action risk for LLMs and agents. Fix the fundamentals: authority, lineage, semantics, and policy-aware access controls. Make answers reproducible: definitions plus lineage plus quality checks for each KPI. Connect to compliance: retention, access evidence, and defensible deletion. […]

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8 mins read

RHITL: Why the Right Human in the Loop Actually Matters

Stephen Tallant0

Blog Commentary Look, everyone’s talking about “human in the loop” these days. It’s become one of those phrases that gets thrown around in every AI discussion, right up there with “ethical AI” and “guardrails.” But here’s the thing: just putting *a* human in the loop doesn’t cut it anymore. You need the *right* human in […]

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5 mins read