Artificial Intelligence Dev World (June 19-20) will be New York’s largest artificial intelligence dev conference with tracks covering chatbots, machine learning, open source AI libraries, AI for the enterprise, and deep AI / neural networks. This conference targets software engineers who are looking for an introduction to AI as well as AI dev professionals looking for a landscape view on the newest AI technologies.


Machine Learning

Machine Learning Dev: 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.

Bots & Language

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.


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.


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.


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.


Neural Networks: A Primer
Rishal Hurbans, Entelect

Monitoring Unknown Unknowns with AI
Guy Fighel, SignifAI

WORKSHOP: AI, Bots, and Search
Grant Ingersoll, LucidWorks

WORKSHOP: Insights for Patient Data: IBM Watson in a Clinical Setting
Weina Chen, IBM

WORKSHOP: Chatbots are the Future: Let’s Build One!
Tessa Mero, Cisco DevNet

Tomorrow’s Business Apps: Chatbots, Augmented Reality, and What Else?
Bill Bodin, Kony

A No-coding Approach to AI
Sumit Kapoor, Zorang

Vision & Artificial Intelligence for Enterprise Developers
Jerry Nixon, Microsoft

WORKSHOP: The Operating System for AI: How Microservices and Serverless Computing Enable the Next Generation of Machine Intelligence
Jon Peck, Algorithmia