As AI and machine learning techniques are evolving quickly, data scientists need to constantly inform themselves in order to keep up with the latest breakthroughs and trends. A great way to do so is attending conferences, which offer the opportunity to meet other industry professionals, exchange best practices, and explore innovative solutions.
Here’s an overview of some recommended data science conferences to attend, depending on your expertise and field of interest, including NLP, computer vision, MLOps, applied AI and Enterprise AI. We hope you'll find it useful!
For senior data scientists who want to stay at the forefront of modern AI/ML applications.
Disclaimer: this is the author’s conference series 😊 The Data Science Salon is a unique vertical focused data science conference which grew into a diverse community of senior data science, machine learning and other technical specialists. The Data Science Salon community gathers face-to-face and virtually to educate each other, illuminate best practices and innovate new solutions in a casual atmosphere. Apply here to speak if you're interested in sharing your experience at an upcoming event.
- DSS Miami Hybrid | AI and ML in the Enterprise: September 21, 2022. Miami, FL.
- DSS Virtual | AI and ML in Media, Advertising and Entertainment: November 16, 2022. Virtual.
- DSS NYC Hybrid | AI and ML in Finance & Technology: December 7, 2022. NYC, NY.
- DSS Austin Hybrid | AI and ML in the Enterprise: February 8-9, 2022. Austin, TX.
- DSS NYC Hybrid | AI and ML in Media & Advertising: April 4, 2022. NYC, NY.
For NLP practitioners.
The virtual NLP Summit gathers the wold’s largest applied NLP community for three days of immersive, industry-focused content. Includes over 50 technical sessions, with focus days on open source, healthcare, and finance. Join live Q&A sessions with the speakers, connect with others through networking features, and access all content on-demand after the event.
The second week will feature beginner to advanced live training workshops with certifications. Learn, share, and apply best practices for putting AI to good use!
For hardware and systems engineers and architects.
The AI Hardware Summit focuses on systems-first machine learning, reducing time-to-value in the ML lifecycle, and unlocking new possibilities for AI development. This involves a full-stack effort of efficient operationalization of AI in organizations, productionization of models, tight hw/sw co-design and best-in-class microarchitectures.
The community is creating a feedback loop between those designing AI systems and those using them, to accelerate the development and adoption of AI technologies across industries. This year, for the first time, AI Hardware Summit will be co-located with Edge AI Summit.
For edge end users and developers.
Edge Computing World Global in October will bring together over 3000 attendees from end users, ecosystem and developers, and 125+ speakers in total with a unique collection of edge experiences, case studies & insights.
Edge Computing World has a heavy emphasis on end user case studies, sharing market experience for the benefit of the community. Never before have so many edge end-users been gathered together in a single event to share their views and opinion on the benefits and challenges of deploying edge computing.
For machine learning, data science, and software practitioners.
MLconf is a machine learning conference designed to gather the community to discuss the recent research and application of Algorithms, Tools, and Platforms to solve the hard problems that exist within organizing and analyzing massive and noisy data sets. Learn about the use of machine learning algorithms and techniques from some of the brightest minds in data science featuring topics across machine learning as well as diving deep into ML in FinTech and ML in Healthcare.
For data scientists.
Since 2015, The Data Science Conference provides a vendor-free, sponsor-free, and recruiter-free meeting place for data scientists who seek to network with other professionals without being prospected out by sales people. This professional-only conference puts “science” back into data science conferences. No sales pitches; no sponsor booths; no recruiting; no overcharging you; no paid advertising; no email needed to see agenda/speakers; no selling your info; no extra charge for presentation slides. This is a conference, not an Expo.