XConf Singapore 2023
| title | author | length |
|---|---|---|
| highlights | 01m | |
A fast-paced montage of 15 talks from an in-person conference that compresses full sessions into soundbites, product shots and audience reaction, spotlighting… | ||
| Keynote: Engineering a Digital Government With AI | Chang Sau Sheong | 17m |
Singapore’s 30 by 30 food security goal drives an AI that counts rotifers under a microscope, cutting manual inspection from 40 minutes to one minute via a… | ||
| The ethics of data: Privacy vs. personalization | Esther Tham | 34m |
Personal data powers a $491 billion personalization industry but also fuels harms: psychological targeting (a study shows 40% higher clickthroughs and 50%… | ||
| Improving engineering effectiveness: A journey for the entire organization | Gabriel Sadaka | 31m |
Argues that improving engineering effectiveness requires systems thinking across the whole value stream, not just more engineers or tools, citing the… | ||
| Platform engineering: Build your own PaaS | Ankit Wal | 33m |
Argues that platform engineering flips ticketed ops into self-service, cites Gartner’s claim that 80% of organizations will have platform teams by 2026, and… | ||
| Panel Discussion: Ways to unlock engineering effectiveness | May Xu, Sowmya Ganapathi Krishnan, Aditi Agarwal, Nouman Memon | 45m |
Panelists compare concrete tradeoffs: engineering platform uses Backstage style developer portals to cut onboarding and reuse common APIs and DORA metrics… | ||
| Successful digital transformation: Outcome-driven teams, reward and metrics | Vijay Iyer, Shyaamkumaar Krishnamoorthy | 41m |
Organizations see 70% of digital transformations fail, so teams reorient from task-based silos to outcome-driven cross-functional teams that own a single SMART… | ||
| Data Mesh symphony: Orchestrating a synchronized data and business strategy ensemble | Manisha Sethi, Nikhil Baranwal | 39m |
Claims that Data Mesh aligns business goals to data by treating datasets as data products and delivering them via a self‑service data platform; a pharma… | ||
| Path to a more equitable testing process: Addressing unconscious bias and ethics | Srinivasan Sekar, Sai Krishna | 33m |
Bloomberg’s diffusion-image study produces 5,000–6,000 images and clearly shows high‑paid roles skew to lighter skin and male, exposing training‑data bias; LLM… | ||
| Keynote: Vertical(ai) is the new horizontal | Zhihao (Z) Lin | 16m |
Argument claims vertical AI wins by owning an end‑to‑end stack and an information flywheel, not by being a generic platform; examples include Blue River’s… | ||
| nothing matches | ||