Conferences / AI DevWorld
AI DevWorld 2019
Oct 8–10, 2019 · San Jose Convention Center (McEnery), San Jose, CA, United States
- Conference
- AI DevWorld Data science & ML
- Dates
- Oct 8, 2019 – Oct 10, 2019
- Venue
- San Jose Convention Center (McEnery)
- Place
- San Jose, CA, United States
- Format
- In person
- Status
- Past
- Attendance
- —Homepage pitch: 'Join 2,000 Executives, Engineers, and Entrepreneurs in Silicon Valley' (marketing target, not a reported headcount)
- Website
- aidevworld.com
- Recorded
- 0 sponsors · 55 speaker appearances
- Notes
- Co-located with API World and Microservices World (DevNetwork); passes covered all three. Speakers: every in-person session tagged AI DevWorld on the official Sched (API World + AI DevWorld 2019); cancelled sessions omitted. The sponsors page showed only a generic 'Previous Event Sponsors' logo wall, not a 2019 list, so no sponsors are recorded.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| OPEN Pass (Oct 9-10 only) | $200 | — | Full price as listed | web.archive.org |
| PRO Pass (3 days) | $1,495 | — | Full price as listed | web.archive.org |
| PREMIUM Pass (3 days, all three co-located conferences) | $2,595 | — | Full price as listed | web.archive.org |
Sponsors 0
No sponsors recorded
Speakers and talks 55
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Bhairav Mehta | Apple | Keynote | Apple -- Getting Started with Kubernetes and Kubeflow | — |
| John P Alioto | Viv Labs | Keynote | Can an AI Assistant Be as Important as the Web or as Mobile? | — |
| San Wong | CloudCar, Inc | Keynote | CloudCar -- Creating the Future of Connected Car Experience Through Machine Learning | — |
| Aaron Edell | Veritone, Inc | Workshop | How Three Different Enterprises Overcame the Challenges to Adopting AI and Starting Saving Money | — |
| Adam Blum | Auger.AI | Speaker | “AutoAutoML” – Towards a Standardized Automated Machine Learning Pipeline API | — |
| Aleksandra Kudriashova | Astro Digital | Speaker | Understanding World Food Economy with Satellite Images and Analytical Methods | — |
| Alex Ermolaev | Change Healthcare | Speaker | The State of AI in Healthcare | — |
| Alexander Zub | Handsome | Workshop | Design Principles to Keep Your AI From Becoming a UX Nightmare | — |
| Ashutosh Gupta | Avi Networks | Speaker | Deep Security Automation - Using ML to Secure Web Applications | — |
| Avid Farhoodfar | — | Speaker | Deep Learning Application on IoT | — |
| Bryan Stokes | Vonage | Speaker | Enable AI to Drive Intelligent Customer Interactions and Reach Your Contact Center's Full Potential | — |
| Daniel Myers | Workshop | Data and Insights to Build for the Digital Assistant Era | — | |
| David Mortaz | Binge.Ai Corp | Speaker | Conversational Commerce for Automotive Vertical | — |
| Devaraj Kavali | Intel | Workshop | High Performance Data Analytics/Machine Learning Reference Stack Delivering 8x Faster Results | — |
| Ebrahim Safavi | Mist Systems, a Juniper Networks Company | Speaker | Deep Learning and AI for the Enterprise IT: Applications, Challenges & Best Practices | — |
| Emrah Gultekin | Chooch AI | Speaker | Visual AI As A Service | — |
| Gaurav Rastogi | VMware | Speaker | Deep Security Automation - Using ML to Secure Web Applications | — |
| Gautam Gupta | Intuit | Speaker | Learn Realtime AI with Apache Flink | — |
| Greg Benson | SnapLogic | Speaker | Toward Practical Program Synthesis for Data, API, and Workflow Automation | — |
| Ian Brooks | Cloudera | Workshop | Building an Object Detection Tensorflow Model Using a Limited Training Set | — |
| Jacopo Tagliabue | Tooso | Workshop | Less (Data) Is More: Efficient Machine Learning for Enterprises | — |
| Jans Aasman | Franz Inc | Speaker | Taking Graphs to the Next Level with Artificial Intelligence | — |
| Jayant Thomas (JT) | Change Healthcare | Speaker | AI-based Cloud Backup Strategy | — |
| Jisheng Wang | Mist Systems, a Juniper Networks Company | Speaker | Deep Learning and AI for the Enterprise IT: Applications, Challenges & Best Practices | — |
| Joan Xiao | Linc Global | Workshop | Taming the BERT: Transfer Learning for NLP | — |
| John DesJardins | Hazelcast | Workshop | Real-time ML - Operationalizing ML with Java Microservices and Stream Processing | — |
| Jon Peck | Algorithmia | Speaker | Productionizing your Machine Learning Models | — |
| Jorge Castañón | Watson IBM | Featured | What is AutoAI? | — |
| Kutta Srinivasan | Meta | Featured | Distributed Training Platform At Facebook | — |
| Lawrence Spracklen | SupportLogic | Workshop | Explaining Black Box Models | — |
| Maygol Kananizadeh | Intel | Workshop | High Performance Data Analytics/Machine Learning Reference Stack Delivering 8x Faster Results | — |
| Ming Yong | Speaker | Building Multimodal (Video, Audio) Ml Applications for Mobile & Edge Devices | — | |
| Mo Haghighi | IBM | Speaker | CPU vs. GPU vs. Cloud - Bring the Power of Machine Learning to Your IoT Edge Device | — |
| Mohamed Fawzy | Meta | Featured | Distributed Training Platform At Facebook | — |
| Moshe Milman | Applitools | Featured | AI and Testing: Tips from the Trenches | — |
| Nisha Bhaskaran | PayPal | Workshop | Intelligent Experimentation with Binomial Multi-Arm Bandits | — |
| Rachel Batish | Audioburst | Speaker | Implementing Audio and Voice Technology For Success | — |
| Raju Shreewastava | Big Data Trunk | Speaker | AI and ML for Everyone | — |
| Rakesh Ramakrishnan | Jade Global | Workshop | Computer Vision and Deep Learning | — |
| Rashed Haq | Publicis Sapient | Speaker | Anticipatory Banking: Using AI to Create Advantage in a Digital World | — |
| Ryan Micallef | Cloudera | Workshop | Less Talk, More Rock: Transfer Learning with Natural Language Processing | — |
| Sandeep Gupta | TensorFlow | Featured | Zero to Hero: Getting started with ML in TensorFlow 2.0 | — |
| Sankaet Pathak | Synapse | Workshop | Artificial Intelligence & FinTech | — |
| Satyananda Kashyap | — | Workshop | Why Learn Tens of Thousands of Computer Vision Models? | — |
| Saurav Chatterjee | Asurion | Workshop | Building Enterprise Chatbots Using Open-Source Technologies | — |
| Shyam Nath | Oracle | Speaker | AI-based Cloud Backup Strategy | — |
| Siamak (Ash) Ashrafi | ZoeWave | Workshop | Swifty TensorFlow | — |
| Srinivasa Addepalli | Intel | Speaker | A for Edges : Microservices Based AI Framework StackI | — |
| Sun Lin | Samsung Electronics | Speaker | Deeply Learned Representations for Human Action Recognition | — |
| Susan Diamond | IBM | Workshop | Watson Deep Learning as a Service, a Cloud-Based Deep Learning Platform | — |
| Uma Maheswara Rao Gangumalla | Intel | Workshop | High Performance Data Analytics/Machine Learning Reference Stack Delivering 8x Faster Results | — |
| Xu Si | Walmart | Workshop | Graph Deep Learning for Entity Scoring in eCommerce Fraud Prediction | — |
| Yiyi Zeng | Walmart | Workshop | Graph Deep Learning for Entity Scoring in eCommerce Fraud Prediction | — |
| Zongjie Dao | Cisco | Speaker | Operationalize Machine Learning for Real Impact - Bridge the Gap Between Data Scientist and IT | — |
| ZZ Si | KUNGFU.AI | Speaker | Paper to Digital: Unlocking the Data Trapped in Legacy Documents | — |
Sources
- https://web.archive.org/web/20190917/https://aidevworld.com/
- https://web.archive.org/web/20191015010059/https://aidevworld.com/conference/pass-types/
- https://apiworld2019aidevworld2019.sched.com/directory/artists
- https://apiworld2019aidevworld2019.sched.com/list/descriptions/subject/AI+DevWorld
- https://web.archive.org/web/20191015010045/https://aidevworld.com/sponsors/