October 8–10, 2019 | San Jose Convention Center

Join 2,000 Executives, Engineers, and Entrepreneurs in Silicon Valley.

REGISTER

About AI DevWorld

AI Dev World (October 8-10, San Jose Convention Center) will be the world’s largest artificial intelligence dev event with tracks covering chatbots, machine learning, open source AI libraries, AI for the enterprise, and deep AI / neural networks. This conference targets software engineers and data scientists who are looking for an introduction to AI as well as AI dev professionals looking for a landscape view on the newest AI technologies.

Artificial intelligence technologies are the most potentially disruptive technologies facing the world, and the real breakthroughs in AI are Ai developer technologies. Behind self-driving cars, facial recognition, healthcare AI analytics, and customer targeting, there is a new AI developer technology. AI Dev World is the hub for the newest breakthroughs in AI developer technologies.

October 8–10, 2019 | San Jose Convention Center

2019 Conference Talks

PRO TALK:
AI to Drive Intelligent Customer Interactions & Reach Your Contact Center’s Full Potential

Bryan Stokes
VP of Product Management | Vonage

PRO TALK:
AI and Testing: Tips from the Trenches

Adam Carmi
CTO | Applitools

PRO TALK:
Hands-free programming using AI

Chris Maxwell
Founder, ML/DL/NLP | Primary.AI

PRO TALK:
Distributed Training Platform At Facebook

Mohamed Fawzy
Senior Manager & Lead of Distributed AI Group | Facebook

PRO TALK:
Creating the future of connected car experience through Machine Learning

San Wong
Director, Data Engineering | CloudCar

PRO TALK:
AI Strategy for Enterprise Servicing

Savitha Ajitraj
Senior Product Manager, Enterprise Solutions | PayPal

PRO TALK:
How 3 different enterprises overcame the challenges to adopting AI & starting saving money

Aaron Edell
Director of Applied AI | Veritone, Inc.

PRO TALK:
Operationalize Machine Learning for real impact. bridge the gap between Data Scientist & IT

Zongjie Diao
Director of Product Strategy and Management | Cisco

PRO TALK:
How to Automate the Creation of NLP Models

Adrien Schmidt
CEO & Co-Founder | Aristotle

PRO TALK:
Less Talk, More Rock: Transfer Learning with Natural Language Processing

Ryan Micallef
Research Engineer | Cloudera Fast Forward Labs

PRO TALK:
Watson Deep Learning as a Service, a cloud-based deep learning platform

Susan Diamond
Senior Technical Staff Member | IBM Watson

PRO TALK:
Developers Guide to Implementing Audio and Voice Technology For Success

Gal Klein
CTO | Audioburst

PRO TALK:
Design Principles to Keep Your AI From Becoming a UX Nightmare

Alexander Zub
Partner, Technology | Handsome

PRO TALK:
Learn Realtime AI with Apache Flink

Gautam Gupta
Architect/Engineering Manager – AI, ML, Data Science, Cloud | Lending Club

PRO TALK:
Zero to Hero: Getting started with ML in TensorFlow 2.0

Sandeep Gupta
Product Manager | Google

PRO TALK:
Case Study: Scaling a TensorFlow Solution from Proof of Concept to Production Ready

Benjamin Brittain
Lead Engineer | Temboo

AI DevWorld Tracks

AI & ML Real-World Project Success Stories

What was your entire AI & ML project lifecycle, and what did you learn along the way, in order to launch a successful project? Learn from top tech companies about their AI & ML success stories.

TensorFlow Summit

TensorFlow is one of the most popular open-source machine learning technologies, and you can get up to speed on the latest developments and best practices of this technology. Pioneered by the Google Brain team, TensorFlow makes large-scale machine learning projects faster and easier.

Bots & Language Processing

Chatbots and natural language processing is rapidly redefining industries such as customer service and support, information search, knowledge management, and fraud detection. Learn how to utilize existing technologies to build your own chatbot or NLP solution.

Emerging AI

The emerging AI track covers the newest AI technologies for software engineers, data scientists, CTOs, and business users.

AI & ML-as-a-Service

Instead of deploying your own custom artificial intelligence or machine learning solution, we are seeing a new era of accessing artificial intelligence, machine learning, and data science solutions “as a service” via API or a developer interface. In an age when more of the technology stack is becoming decentralized, serverless, and on-demand, AI & ML-as-a-service makes intensive machine learning operations accessible to any developer.

Applied Machine Learning

This track targets both beginners and professionals looking to utilize open source or commercial machine learning technologies to implement business solutions. We will cover libraries and frameworks, training the AI with data, and analyzing / implementing results.

AI for the Enterprise

What are the most common use cases for an enterprise to utilize AI? From ad targeting and customer intelligence to data analytics and security, this track will highlight success stories of using AI in the enterprise.

AI Open Source

What are the newest open source AI tools, libraries, and technologies? Hear their technology pitches and meet the most disruptive open source technologies in the market.

Training Data, Models, and Feasibility

Before you can kick off your machine learning project, you first need to ask yourself: Is the model or algorithm suitable – and do you have enough training data for the model? Talks in this track discuss successes and failures of finding suitable models and training data.

Developing Artificial Intelligence Technologies

Are you a software engineer, data scientist, or architect who is developing their own artificial intelligence solution? This track spotlights the success stories and best practices from innovative engineers.

Deep AI and Neural Networks

For AI professionals and advanced engineers, this track highlights the cutting edge of neural networks, automating human tasks through deep learning, advanced image / voice recognition, and thought leadership on the next phases of AI.

Who Attends

DEVELOPERS / ENGINEERS
Most of the talks and workshops in Artificial Intelligence Dev World are technical and target a developer audience. These talks will range from introductory to advanced practitioners.

DATA SCIENTISTS
The more advanced AI dev talks will target Intensive Ai practitioners who have experience with open source and commercial machine learning technologies.

TECH EXECUTIVES
Many talks, including the AI for the Enterprise track, will target non-practitioners who are looking to make purchasing decisions regarding AI technologies for their company.

Artificial Intelligence speakers at our past events

Heather Dykstra
Developer Evangelist
Salesforce

Madhura Dudhgaonkar
Senior Director ML
Workday

Ram Shanmugam
Founder and CEO
AutonomIQ

Shourabh Rawat
Data Science Manager/Lead
Trulia

Daniel Docter
Managing Director
Dell Technologies Capital

Patrick Grennan
One Medical
Senior Software Engineer

Grant Ingersoll
CTO
Lucidworks

Guy Fighel
Co-Founder & CTO
SignifAI

Jon Peck
Developer & Advocate
Algorithmia

Rustem Feyzkhanov
Data scientist
Astro Digital

Astro Digital
Developer Evangelist
Cisco DevNet

Weina Chen
Watson Health UI/UX Engineer
IBM

Previous Event Sponsors

Last Year’s Attending Companies

Moodys Analytics / Hootsuite / Yelp / Expedia / Realtor.com / State of California / Dolby / Charles Schwab / Zappos / Walmart Labs / Visa Inc. / GoDaddy / NVIDIA / Macys / CareerBuilder / Silicon Valley Bank / RingCentral / Verizon / Salesforce / Accenture / HP / BNY MELLON / KPMG / Cisco Systems / Juniper Networks / Salesforce / Kohls / SAP / PayPal / Apple / Orange / Bofa / AT&T / Capital One / Wipro / CenturyLink Technology Solutions / Dell / PG&E / Samsung Electronics / eBay / Smith Barney / Google / Bosch / Nielsen / Intel / Lenovo / Ames Research / Microsoft / EMC / Merrill Lynch / VMware / Fujitsu / Laboratories of America / Arbonne International / GE / SoftBank U.S. Inc. / Seagate / Panasonic / Intuit / Groupon / Yahoo / Toyota / ThoughWorks / Bank of America / Wells Fargo / LoyaltyOne / BMW North America / Marriott / Ticketmaster / Warner Bros. / Nestle USA / Alaska Airlines / Adobe / Chevron / Alcatel-Lucent / Nissan / US Department of Transportation / LG Electronics Inc. / Facebook / Barnes and Noble / Qualcomm