Personal Information
Organization / Workplace
San Francisco Bay Area, Florida United States
Industry
Consulting / Advisory
Website
www.naiss.io
About
Board Director, Advisor, Early stage & Startup VC - Technology, Entrepreneur based in Palo Alto
Member of the Young Presidents' Organization, a worldwide non for profit association of leaders and entrepreneurs
Electrical & Electronic Engineer GSMP post-grad at University of Chicago Booth School of Business & IE Business School and ELPP from Berkeley's University Center for Technology & Entrepreneurship
Mentor & Advisor at Singularity University Ventures & Berkeley's Center for Technology & Entrepreneurship.
Board Director at Arowana International, an asset & fund management holding and PE - mid-size companies operator listed in ASX (ASX:AWN). Strategic advisor at Alicorn Fund
Tags
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Presentations
(14)Likes
(131)Tracxn - Monthly Unicorn Report - Jan 2021
Tracxn
•
3 years ago
Responsible AI
Anand Rao
•
6 years ago
BigMLSchool: ML Platforms and AutoML in the Enterprise
BigML, Inc
•
3 years ago
AutoML lectures (ACDL 2019)
Joaquin Vanschoren
•
5 years ago
Jeff Dean at AI Frontiers: Trends and Developments in Deep Learning Research
AI Frontiers
•
7 years ago
Real Time Processing Using Twitter Heron by Karthik Ramasamy
Data Con LA
•
6 years ago
Building a healthy data ecosystem around Kafka and Hadoop: Lessons learned at LinkedIn
Yael Garten
•
7 years ago
Next CERN Accelerator Logging Service with Jakub Wozniak
Spark Summit
•
6 years ago
Data Streaming Ecosystem Management at Booking.com
confluent
•
5 years ago
Designing the Next Generation of Data Pipelines at Zillow with Apache Spark
Databricks
•
4 years ago
Building a Pipeline for State-of-the-Art Natural Language Processing Using Hugging Face Tools
Databricks
•
4 years ago
Productionizing Deep Reinforcement Learning with Spark and MLflow
Databricks
•
4 years ago
Zeus: Uber’s Highly Scalable and Distributed Shuffle as a Service
Databricks
•
4 years ago
Machine learning model to production
Georg Heiler
•
7 years ago
MLSEV Virtual. From my First BigML Project to Production
BigML, Inc
•
4 years ago
K-means Clustering
Anna Fensel
•
5 years ago
MLSEV Virtual. ML Platformization and AutoML in the Enterprise
BigML, Inc
•
4 years ago
BSSML16 L9. Advanced Workflows: Feature Selection, Boosting, Gradient Descent, and Stacking
BigML, Inc
•
7 years ago
Machine Learning Platformization & AutoML: Adopting ML at Scale in the Enterprise
Ed Fernandez
•
4 years ago
Real World End to End machine Learning Pipeline
Srivatsan Srinivasan
•
5 years ago
Ai and applications in the legal domain studium generale maastricht 20191101
jcscholtes
•
4 years ago
MLSD18. Automating Machine Learning Workflows
BigML, Inc
•
5 years ago
Data Science at Netflix - Principles for Speed & Scale [Rev 2019 keynote]
Michelle Ufford
•
5 years ago
Chris Currin computational neuroscience intro AIMS MIIA 2017-12
Christopher Currin
•
6 years ago
Neuronal self-organized criticality
Osame Kinouchi
•
6 years ago
Learning in Networks: were Pavlov and Hebb right?
Victor Miagkikh
•
10 years ago
Introduction to artificial_intelligence_syllabus
Andres Mendez-Vazquez
•
5 years ago
Personal Information
Organization / Workplace
San Francisco Bay Area, Florida United States
Industry
Consulting / Advisory
Website
www.naiss.io
About
Board Director, Advisor, Early stage & Startup VC - Technology, Entrepreneur based in Palo Alto
Member of the Young Presidents' Organization, a worldwide non for profit association of leaders and entrepreneurs
Electrical & Electronic Engineer GSMP post-grad at University of Chicago Booth School of Business & IE Business School and ELPP from Berkeley's University Center for Technology & Entrepreneurship
Mentor & Advisor at Singularity University Ventures & Berkeley's Center for Technology & Entrepreneurship.
Board Director at Arowana International, an asset & fund management holding and PE - mid-size companies operator listed in ASX (ASX:AWN). Strategic advisor at Alicorn Fund
Tags
technology
machine learning
artificial intelligence
efernandez
google
mobile
bigml
mlops
asymmetric business models
amazon
webcongress
smartphones
platforms
mobile computing
innovation
digital
future
globalization
dall-e
ai
ml
deep learning
education
technical debt
open source
ibm
microsoft
dataiku
h2o
datarobot
devops
software development
automl
strategy
venture capital
enterprise
transformation
naiss
internet
telecommunications
wechat
ios
apple
nokia
mobile ecosystems
carriers
mobile messaging
disruption
trends
over the top
internet trends
android
ott
netflix
wearables
career
mobile internet
internet of things
internet; smartphones
entrepreneurship
start up
kickstarter
mary meeker
adoption
social media
evolution
vision
ted
singularity
anthony giddens baron giddens
london school of economics
giddens
communications
#uimp
#visiones21
social networks
argumentation persuassion ethos logos pathos
See more