Enterprise AI Automation: A Practical Guide for Large Organizations
Author(s): Satha Originally published on Towards AI. Key Takeaways – Enterprise AI automation is a coordinated system (RPA + ML/LLMs + agents) that manages complex, end-to-end processes, not a single tool but an operating model. – Three layers define the stack traditional …
AI Transforms Data Quality Engineering for Modern Enterprise
Author(s): Valentin Podkamennyi Originally published on Towards AI. Explore how AI-augmented data quality engineering is revolutionizing enterprise data platforms by shifting from rule-based to self-learning systems. Modern enterprise data platforms are characterized by their petabyte scale, the ingestion of fully unstructured data …
LAI #115: The Hidden Cost of “Agent-First” Thinking
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! AI is getting embedded into real workflows: repos, data platforms, enterprise search, and production infrastructure. And as that happens, a pattern is showing up everywhere: the biggest failures …
Why AI in CRM Fails Without a Warehouse-First Architecture
Author(s): Clarencer R. Mercer Originally published on Towards AI. When Model Accuracy Is Not Enough In Part 1 of this series, we explored how a warehouse-first composable CDP restores architectural control to modern CRM systems. In Part 2, we examined the Identity …
Google’s Gemini Finally Learns to Sing with Lyria 3
Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. DeepMind Lyrica 3 + Gemini = bringing high-fidelity audio generation to the masses; Queue the ethical questions. Google has officially integrated its Lyria 3 model into the Gemini app. Another day another …
I Built a Full-Stack SaaS Using Only AI — Here’s What Actually Worked (And What Didn’t)
Author(s): Anand Panchal Originally published on Towards AI. A 30-day experiment with GitHub Copilot, Cursor, and Claude Code Well, not literally — but I challenged myself to build a complete full-stack application using only AI coding assistants: GitHub Copilot, Cursor, and Claude …
101 ML/LLM/Agentic AIOPS Interview Questions.
Author(s): Niraj Kumar Originally published on Towards AI. Image by Author Section 1: Technical & Hands-On (ML/AI & MLOps) These questions test your foundational knowledge of MLOps, regardless of the cloud platform. 1. Describe the most complex ML project you’ve taken from …
Securing the Autonomous Frontier: A Guide to AI Identity
Author(s): Niraj Kumar Originally published on Towards AI. Imagine an AI agent, tasked with “optimizing cloud costs,” deciding that the most efficient path is to delete an underutilized production database. In the shift toward 2026, we’ve moved from simple chat interfaces to …
Latent Space: The Most Important Place That Doesn’t Exist
Author(s): Ampatishan Sivalingam Originally published on Towards AI. How AI navigates invisible dimensions to understand reality, and why you should care Every time you prompt an AI to create a “cyberpunk cat playing jazz,” you are navigating a multi-dimensional map you cannot …
Unlocking Embedded Visuals from Documents Using Snowflake Cortex
Author(s): Krishnan Srinivasan Originally published on Towards AI. Most document AI discussions focus on text extraction, OCR accuracy, table detection, layout parsing. These are familiar themes. But many enterprise documents are not just text-centric. Inspection reports, audit documents, supplier catalogs, safety manuals, …
20 Must Visit SQL Questions For Interviews
Author(s): Ananya Originally published on Towards AI. Q1. Find the total number of orders placed by a customer (101) in a day. Table: Order_Details cust_id | order_id | order_date Code: select date_trunc(‘day’, order_date) as day, cust_id as customers count(distinct order_id) as orders …
Inside Vector Databases: Engineering High-Dimensional Search for Modern AI Systems
Author(s): Rizwanhoda Originally published on Towards AI. Inside Vector Databases: Engineering High-Dimensional Search for Modern AI Systems The real bottleneck in modern AI systems is not the LLM. Photo by Huzeyfe Turan on UnsplashVector databases serve as specialized infrastructure for managing high-dimensional …
Breaking the Monolith: Architecting a Process-Based Sub-Agent Ecosystem
Author(s): Shreyash Shukla Originally published on Towards AI. Image Source: Google Gemini The “Generalist” Ceiling In the previous five articles, we architected a robust single agent. It has memory, tools, and user context. However, as we scale this agent to handle enterprise-grade …
Engineering the Semantic Layer: Why LLMs Need “Data Shape,” Not Just “Data Schema
Author(s): Shreyash Shukla Originally published on Towards AI. Image Source: Google Gemini The “Context Window” Economy In the world of Large Language Models (LLMs), attention is a finite currency. While context windows are expanding, the “Lost in the Middle” phenomenon remains a …
Beyond the Prompt: Engineering the “Thought-Action-Observation” Loop
Author(s): Shreyash Shukla Originally published on Towards AI. Image Source: Google Gemini The “One-Shot” Fallacy In the early days of Generative AI, the industry was obsessed with “Zero-Shot” performance — the ability of a model to answer a question in a single …
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