About AI DevWorld
AI Dev World (October 27–29, 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 27–29, 2020 | San Jose Convention Center
2019 Featured Speakers
Director, Data Engineering
Senior Software Engineering Manager
Technical Lead for AI Infrastructure
Data Science Manager
Sr Data Scientist
2019 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.
2019 Conference Schedule
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