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thoughtspot

Token-Maxxing and Inference Ops: The New FinOps Frontier

Jul 22, 2026 By Jane Smith In ThoughtSpot
A Head of Product at a major sportswear retailer has a brilliant idea: let’s build an app that sales staff on the shop floor can have on their tablets, and ask their questions there and then, where they serve customers. They set about building. In order for the app to answer questions, it needs to have the information from the 2026 Spring/Summer Catalogue, a mammoth manual, let’s say 300k tokens.
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databox

How to Run a Monthly Financial Health Check for a Services Firm With QuickBooks

Jul 22, 2026 By Nevena Rudan In Databox
Services firms run on a specific financial rhythm that traditional business dashboards were not built for. Revenue is lumpy because invoices land when clients pay them, not when work is delivered. Cash flow depends on which clients are current, which are 45 days overdue, and which have quietly stopped billing altogether.
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A Google Data Cloud Leader's Formula for Token-Efficient AI

Jul 22, 2026 By ThoughtSpot In ThoughtSpot
For most enterprises, autonomous AI agents still feel like a risk waiting to happen. Andi Gutmans, Vice President and General Manager for Data Cloud at Google, joins Cindi Howson to explain what it takes to build the data foundation that trustworthy agentic AI depends on. He breaks down how organizations can finally activate the 90 percent of enterprise data that's unstructured, why tokenmaxxing is the wrong way to measure AI value, and how open standards like Apache Iceberg are helping leaders tear down fragmented, multi-cloud data silos and unify data across clouds.
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Ep 82 | Behavior Change: How Startups Are Making AI Stick

Jul 22, 2026 By Cloudera, Inc. In Cloudera
Behavior change is the biggest hurdle in AI adoption. AI only creates value when people make it part of their everyday work. In this episode of The AI Forecast, Paul Muller sits down with Varun Puri, CEO and co-founder of Yoodli, to discuss why successful AI adoption starts with changing how people work. Drawing on his experience at Google, Google X, and as the founder of an AI startup, Varun shares practical lessons on embedding AI into everyday workflows and building habits that stick.
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integrate

Natural Language to Data Pipeline: How to Build Migrations Without Writing Code

Jul 22, 2026 By Donal Tobin In Integrate
You build a data pipeline from natural language by describing the source, destination, and required transformations in plain English to a platform with a prompt-to-pipeline feature, which then generates a draft pipeline with inferred field mappings, transformations, and a schedule for you to review and adjust. This guide is for operations teams, data analysts, and junior team members who understand the desired outcome of a migration but don't write SQL or Python.
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integrate

How to Ingest and Reconstruct Multiple Unrelated CSV Exports or a PostgreSQL Dump from an Acquired Legacy System

Jul 22, 2026 By Donal Tobin In Integrate
You ingest and reconstruct multiple unrelated CSV exports or a PostgreSQL dump from an acquired legacy system by first mapping the dump's underlying schema and relationships, then building a staged pipeline that loads raw files or tables as-is, reconstructs relationships through keys, and only then applies business logic to produce clean, usable records.
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Preventing Kafka war rooms: with self-service troubleshooting

Jul 21, 2026 By LensesIO In Lenses
Most Kafka war rooms don't start at 2am in production. They start weeks earlier, when an engineer couldn’t explore a topic, see partition distribution, a quota or a config and shipped hoping for the best. That's the Platform Engineering waiting room: developers building apps waiting in a queue of tickets, with no self-service visibility into Kafka. That release triggers a P1 later.
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