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
AI to Drive Intelligent Customer Interactions & Reach Your Contact Center’s Full Potential
VP of Product Management | Vonage
AI and Testing: Tips from the Trenches
CTO | Applitools
Hands-free programming using AI
Founder, ML/DL/NLP | Primary.AI
Distributed Training Platform At Facebook
Senior Manager & Lead of Distributed AI Group | Facebook
Creating the future of connected car experience through Machine Learning
Director, Data Engineering | CloudCar
AI Strategy for Enterprise Servicing
Senior Product Manager, Enterprise Solutions | PayPal
How 3 different enterprises overcame the challenges to adopting AI & starting saving money
Director of Applied AI | Veritone, Inc.
Operationalize Machine Learning for real impact. bridge the gap between Data Scientist & IT
Director of Product Strategy and Management | Cisco
How to Automate the Creation of NLP Models
CEO & Co-Founder | Aristotle
Less Talk, More Rock: Transfer Learning with Natural Language Processing
Research Engineer | Cloudera Fast Forward Labs
Watson Deep Learning as a Service, a cloud-based deep learning platform
Senior Technical Staff Member | IBM Watson
Developers Guide to Implementing Audio and Voice Technology For Success
CTO | Audioburst
Design Principles to Keep Your AI From Becoming a UX Nightmare
Partner, Technology | Handsome
Learn Realtime AI with Apache Flink
Architect/Engineering Manager – AI, ML, Data Science, Cloud | Lending Club
Zero to Hero: Getting started with ML in TensorFlow 2.0
Product Manager | Google
Case Study: Scaling a TensorFlow Solution from Proof of Concept to Production Ready
Lead Engineer | Temboo
AI DevWorld Tracks
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 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.
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.
The emerging AI track covers the newest AI technologies for software engineers, data scientists, CTOs, and business users.
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.
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.
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.
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.
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.
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.
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.
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.
The more advanced AI dev talks will target Intensive Ai practitioners who have experience with open source and commercial machine learning technologies.
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
Senior Director ML
Founder and CEO
Data Science Manager/Lead
Dell Technologies Capital
Senior Software Engineer
Co-Founder & CTO
Developer & Advocate
Watson Health UI/UX Engineer
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