About AI DevWorld
AI Dev World (October 26–28, 2021 | ALL-VIRTUAL) 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 26–28, 2021 | ALL-VIRTUAL
2021 AI DevWorld Tracks
Discussing the practices for moving your AI/machine learning solutions from design and testing towards production and live data. As more companies are moving their AI/machine learning from testing to deployment, companies require a new set of MLOps / AIOps skills for combining AI/machine learning, DevOps deployment, and live data engineering.
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.
Data science enables a company to utilize algorithms and predictive models to draw insights and forecasts from their data. What are the cutting-edge technologies and best practices for implementing data science initiatives in your company, and what types of predictive models prove the most useful?
Chatbots and natural language processing are 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.
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.
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.
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