AI in action: Boost productivity and deliver business value with practical tools
summary
Thoughtworks reports hands‑on use of Gemini and NotebookLM plus enterprise search like Glean and low‑code agents to accelerate knowledge work: a custom Apps Script + Gemini pipeline generates 110 client briefing decks in 3 days (versus ~1 person‑year), proposal authoring time falls roughly 30–70% (typical claim ~50%), and Google asserts ~2 hours/week saved per employee; demos include sanitizing branded images, deep‑search synthesis, and agentized workflows while noting early‑stage accuracy and governance gaps.
AI-written summary · about
chapters (6)
- 0:00Introduction to AI-driven KM
- 1:23Creating and adapting content
- 15:21Capturing and consuming data
- 20:14Finding and searching information
- 28:34Automating and augmenting work
- 31:36Final remarks and conclusions
related talks
29mAI-Driven Development: Revolutionizing Productivity, Software Development Life Cycle
01h 45mAI Engineering with the Google Gemini 2.5 Model Family
52muse cases: Workflow automation for everyone
07mUsing Gemini AI for managing infrastructure and apps
10mFrom Blank Page to Prod: A Year of Building AI Agents at Carrefour
35mFuture of work with google workspace, be ready to start the journey now
31mAI speed to value: Google Cloud & Terraform for the enterprise
37mBuild agents with Gemini API