27 Jul, 2026
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Popular Blogs
Shadow AI Doesn’t Knock First

Shadow AI Doesn’t Knock First

Tools Automate. Platforms Compound.

Tools Automate. Platforms Compound.

A Thousand Tables Deep

A Thousand Tables Deep

Signal Over Noise: How AI Finds the Drugs Hiding in Plain Sight

Signal Over Noise: How AI Finds the Drugs Hiding in Plain Sight

The Last Mile of the Lakehouse

The Last Mile of the Lakehouse

Switch To Production: Building An AI-Ready Data Foundation

Switch To Production: Building An AI-Ready Data Foundation

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

Barry Kunst0

Executive Summary (TL;DR) A data lake fails when ingestion is easier than deletion, classification, and audit evidence production. Cost overruns usually come from unpriced query patterns, uncontrolled copies, and metadata debt that forces rework. Trust collapses when ownership of data correctness is undefined and validation is not enforced at ingestion. Governance is a control plane […]

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12 mins read

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

Barry Kunst0

Executive Summary (TL;DR) AI-driven drug discovery failures are rarely algorithmic first. Data validity, measurement bias, and biological misalignment break earlier. Binding affinity predictions do not equate to therapeutic effect. Misinterpreting this distinction propagates costly false positives. Model interpretability constraints directly affect regulatory defensibility, reproducibility, and cross-team adoption. Infrastructure complexity emerges from data heterogeneity, not scale […]

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8 mins read

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

Barry Kunst0

Executive Summary (TL;DR) Retained data expands legal exposure, breach impact, and regulatory scope independent of storage cost. Excess retention distorts litigation economics by inflating review sets and discovery timelines. Unknown and unmanaged data creates asymmetric risk because governance controls cannot be applied reliably. Defensible deletion functions as a direct liability reduction mechanism when policy-driven and […]

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8 mins read

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

Barry Kunst0

Executive Summary (TL;DR) E-Business Suite modernization fails more often on evidence continuity than on application code migration, because audit trails, approval context, and data lineage are distributed across interfaces, clones, and operational workarounds. The first thing that breaks is usually the control plane: identity-to-privilege mappings, responsibility models, and separation-of-duties assumptions drift faster than the system […]

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14 mins read

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