AI events in Singapore 🇸🇬

By Gabriel, Zahari & Teng Fone ✌️ 

Singapore AI Events

Machine Intelligence Meets Human Ingenuity

Electric Minds

Build Your AI Assistant for Free: A Guide for Non-Techies

IMDA Technical Sharing Session on AI Risks and Safety

IMDAxDataRobot: Generative AI, Year 2: Look back and forward

**Speaker:** Anand is the CEO of data analytics company [Gramener](https://gramener.com/), which was recently sold to Straive in late 2023. Straive, as of 2023, has an estimated revenue of S$1.9 billion and 9.4K employees worldwide.

He leads a team that automates insights from data and narrates these as visual data stories. Anand is a gold medalist at IIM Bangalore and an alumnus of IIT Madras, London Business School, IBM, Infosys, Lehman Brothers, and BCG.

More importantly, he has hand-transcribed every Calvin & Hobbes strip ever, is addicted to Minecraft (thanks to his daughter), and dreams of watching every film on the IMDb Top 250 (except The Shining).

[Here](https://www.youtube.com/playlist?list=PLHCH16htawZbR_-mIqfGmYbhE5S2UckOh) is a list of his talks.

**Date:** 27th Nov (Wed)
**Time:** 7pm
**Location:** Thinktank 1, Building 1, level 3, SUTD

**Title:** Automating Data Visualizations using LLMs

**Synopsis:** Large Language Models (LLMs) automate data visualization more than ever. This talk explores how LLMs convert natural language prompts directly into code for popular JavaScript and Python libraries, helping both domain experts and developers visualize data quickly.

We'll also explore purpose-built tools like Microsoft's LIDA, Chat2VIS, etc, covering their strengths and practical integration into JavaScript and Python workflows. Attendees will learn tips for using LLMs in finding the right visualizations and building them quickly, how to avoid common pitfalls, and ensure accuracy — through hands-on demos and code examples.

This is the 2nd in a series of talks held in tandem with MTD's human-centered design for information visualization module.

**Format:** Event is conducted in person together with 30+ masters and phd students from the MTD module. Seats for the classroom space are really limited, so if you are registered to attend but cannot make it, please do release the slot. Great opportunity to network or meet people if you're interested in the data visualization space. Thanks!

Automating Data Visualizations using LLMs

AI Innovation Asia 2024

Asia Perspective on AI Safety: X Risks or Spectrum of Risks? [Singapore Roundtable by AI Safety Asia]

Hagia Labs Meetup

Runway  Singapore Meetup & A.I Competition

Kelly Arifin

SG AI+GenAI

Weir 🦋

Calissa Man

Mai from Podium

Pei Yi

Surabhi Malani

Kurt Loy

Kingston

Seungmee Lee

Sedat

Ilke Senturk

Calissa

InstructLab Hackathon - Adopting LLM to your domain

Mega Mixer |Startup/ Tech/ Product/ AI/ Web3 Enthusiasts |5 Dec Joint Group

Are you a machine learning engineer or an enthusiast looking to scale your model training and serving processes on Kubernetes? Are you an engineer or enthusiast working with distributed systems and high-performance computing? Join us for an insightful Meetup to explore how the **Ray framework** and **KubeRay** revolutionise distributed computing for model training and serving on Kubernetes clusters.

**Ray** is an open-source library that seamlessly allows developers to scale their Python code—from single machines to large clusters. **KubeRay** extends Ray’s capabilities by integrating it with Kubernetes, enabling you to run distributed Ray applications efficiently on Kubernetes infrastructure.

**Agenda**

6 pm to 7 pm – Networking with Drinks and Food.

7 pm to 8 pm – Introduction to Ray and its key components (Data/Train/Serve) - by Carlos Queiroz, PhD [\[1\]]()

8 pm to 9 pm – Deploying and managing Ray application on Kubernetes with KubeRay - by Chris Butler - Senior Principal Chief Architect at Red Hat [\[2\]]()

***

[\[1\]]() [https://www.linkedin.com/in/caxqueiroz/](https://www.linkedin.com/in/caxqueiroz/)
[\[2\]]() [https://www.linkedin.com/in/christopherjbutler](https://www.linkedin.com/in/christopherjbutler)

To facilitate access to the Red Hat office, please fill up the [form](https://forms.gle/t3X1L9BoZiZ7b81M6)

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Exploring the Ray Framework for accelerating AI/ML Applications

Singapore AI Showcase

Arjun Kumar

Henry Mao

Prannaya Gupta

Jia Yun

Nicole Zhu

Shaun Mak

yip jia qi

Gabrielle

Catalyst - Bootstrap Conversations: AI x Healthcare

ICLR 2025 (24-28 Apr)