Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Data & Machine Learning at 90 Seconds
Search
Dat Le
February 26, 2019
Technology
0
96
Data & Machine Learning at 90 Seconds
BigData.SG & Hadoop.SG meetup - Feb 26, 2019
Dat Le
February 26, 2019
Tweet
Share
More Decks by Dat Le
See All by Dat Le
Building your data science capabilities - Nulab Drinking Code 2018-08-31
lenguyenthedat
0
110
Building your data science capabilities - Asia InsurTech 2018-04-23
lenguyenthedat
0
540
Data Science at honestbee - DSSG 2016-10-24
lenguyenthedat
5
2.5k
Data Analytics Infrastructure - DSSG 2015-11-23
lenguyenthedat
2
390
Rakuten - Viki Data Challenge Solution.
lenguyenthedat
0
690
Data Infrastructure with Amazon Web Services
lenguyenthedat
1
190
Other Decks in Technology
See All in Technology
마라톤 끝의 단거리 스퍼트: 2025년의 AI
inureyes
PRO
1
670
金融サービスにおける高速な価値提供とAIの役割 #BetAIDay
layerx
PRO
1
720
2025新卒研修・HTML/CSS #弁護士ドットコム
bengo4com
3
13k
MCP認可の現在地と自律型エージェント対応に向けた課題 / MCP Authorization Today and Challenges to Support Autonomous Agents
yokawasa
5
1.7k
20250807_Kiroと私の反省会
riz3f7
0
120
猫でもわかるQ_CLI(CDK開発編)+ちょっとだけKiro
kentapapa
0
3.4k
僕たちが「開発しやすさ」を求め 模索し続けたアーキテクチャ #アーキテクチャ勉強会_findy
bengo4com
0
1.8k
OPENLOGI Company Profile for engineer
hr01
1
37k
Amazon Q Developerを活用したアーキテクチャのリファクタリング
k1nakayama
2
170
Kiroでインフラ要件定義~テスト を実施してみた
nagisa53
3
300
【2025 Japan AWS Jr. Champions Ignition】点から線、線から面へ〜僕たちが起こすコラボレーション・ムーブメント〜
amixedcolor
1
120
20250728 MCP, A2A and Multi-Agents in the future
yoshidashingo
1
210
Featured
See All Featured
GraphQLの誤解/rethinking-graphql
sonatard
71
11k
The Psychology of Web Performance [Beyond Tellerrand 2023]
tammyeverts
48
2.9k
Stop Working from a Prison Cell
hatefulcrawdad
271
21k
We Have a Design System, Now What?
morganepeng
53
7.7k
ReactJS: Keep Simple. Everything can be a component!
pedronauck
667
120k
How to Ace a Technical Interview
jacobian
278
23k
How GitHub (no longer) Works
holman
314
140k
Making Projects Easy
brettharned
117
6.3k
Testing 201, or: Great Expectations
jmmastey
45
7.6k
Designing for humans not robots
tammielis
253
25k
Reflections from 52 weeks, 52 projects
jeffersonlam
351
21k
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
139
34k
Transcript
DATA AND MACHINE LEARNING AT 90 SECONDS @lenguyenthedat . Director
- Data Science & Engineering at 90 Seconds BigData.SG & Hadoop.SG meetup @ AWS
90 Seconds in 90 seconds 1. INTRODUCTION
Cloud Video Creation Platform Backed by Sequoia since 2016 Trusted
by the world’s biggest brands
90 Seconds is a team of over 180 people from
18 nationalities across 7 global bases, including Singapore, Auckland, Sydney, Tokyo, London, Berlin and San Francisco. Where we are located
2. DATA AT 90 SECONDS
THE DATA TEAM AT 90 SECONDS Engineering Data Marketing Finance
Product Talent Sales Operation Customer Experience
THE DATA TEAM AT 90 SECONDS Data Engineer Data Analyst
Machine Learning Engineer DATA WAREHOUSE DATA PIPELINES INFRASTRUCTURE INTEGRATIONS MACHINE LEARNING, DATA PIPELINES INTEGRATIONS BUSINESS INTELLIGENCE, DATA PIPELINES, VISUALIZATION, INSIGHTS
THE DATA STACK AT 90 SECONDS
None
3. CASE STUDY: VIDEO SEARCH ENGINE
CASE STUDY: VIDEO SEARCH ENGINE Videos in, Data out! We
have produced 30,000 videos till date
CASE STUDY: VIDEO SEARCH ENGINE WHAT IF THERE IS A
SEARCH ENGINE THAT ALLOWS INTERNAL STAFF TO SEARCH FOR VIDEOS BY THEIR ENTITIES?
CASE STUDY: VIDEO SEARCH ENGINE
CASE STUDY: VIDEO SEARCH ENGINE
CASE STUDY: VIDEO SEARCH ENGINE
CASE STUDY: VIDEO SEARCH ENGINE
CASE STUDY: VIDEO SEARCH ENGINE
4. FOOD FOR THOUGHT: HOW LONG DID IT TAKE
FOR YOUR MACHINE LEARNING MODEL TO GO LIVE ON PRODUCTION? one of the most important metric of a successful data team
1. FIND THE RIGHT TALENTS AND TEAM COMPOSITION
2. DATA INFRASTRUCTURE. BUILD IT FIRST!
3. COMMUNICATION & PRIORITIZATION BUY-IN AND UPWARDS MANAGEMENT
4. DO NOT OVERCOOK. GO FOR AN MVP AND ITERATE!
THANK YOU!