The Best Data Science Events and Conferences to Attend in 2020
This is a directory of the best data science events and conferences. We do our best to provide readers with buyer and practitioner resources, including the Solutions Review Buyers Guide. Sometimes though, you need extra exposure, the kind you can only get in person.
The editors at Solutions Review have created this list of the year’s most anticipated US-based data science events to attend. We’ve scoured the web, consulted with conference representatives, and identified where the industry’s top brass will be spending their time. If you are looking for top-notch keynotes, interesting sessions, best practices demos, and legitimate networking opportunities, mark your calendar.
All of the conferences listed are organized by independent analysts, researchers, and media outlets. We have not listed solution provider or vendor-centric user demonstrations. Events are listed in chronological order and may include additional dates. Clicking More Information directs you to the event home page.
rstudio::conf
Date: January 27-30
Location: San Francisco, CA
Description: rstudio::conf is all things R and RStudio. Whether you’re a dedicated R user or one of the many people and teams who use RStudio with R and Python, attend to become better at data science – and have some fun along the way! The conference features four distinct tracks. You will hear from some of the most thoughtful practitioners and effective speakers in science, industry, and technology and be able to choose from new, intermediate, and advanced topics.
Applied AI Summit (RE•WORK)
Date: January 30-31, May 21-22, November 12-13
Location: San Francisco, CA, Austin, TX, Seattle, WA
Description: The Applied AI Summit brings together the latest technology advancements as well as practical examples to apply AI to solve challenges in business and society. Our unique mix of academia and industry enables you to meet with AI pioneers at the forefront of research, as well as exploring real-world case studies to discover the business value of AI. This event is co-located with Deep Learning Summit, AI Assistant Summit, AI for CPG Summit, and AI for Good Summit. Related RE•WORK events: AI in Healthcare Summit, Reinforcement Learning Summit, AI in Finance Summit, AI in Insurance Summit, and AI in RegTech Summit.
AI NEXTCon
Date: February 12-16
Location: Seattle, WA
Description: AI NEXTCon Developers Conference is AI developers-driven event hosted around the world and specially geared to engineers, developers, data scientists to share, learn, and practice AI technology and how apply AI, ML, DL, data to solve engineering problems, and machine learning production lifecycle. Now it’s 10th edition, the conference features a blend of inspirational keynotes, deep dive tech talks, hands-on workshops, tools/framework live demo, and networking opportunities with like-minded developers.
Data Science Salon
Date: February 18-19, September 8-9
Location: Austin, TX, Miami, FL
Description: The Data Science Salon Austin is a two-day 250 person conference focused on AI and ML. The audience consists of senior technical folks, heads and directors of data science, data engineers, analysts and managers. The format includes a combination of talks, workshops, and panels with an optional expo and lots of time for networking in a casual environment with entertainment.
AI Accelerator Summit
Date: February 20-21, October 16-17
Location: San Jose, CA, Boston, MA
Description: The Data Science Salon Austin is a two-day 250 person conference focused on AI and ML. The audience consists of senior technical folks, heads and directors of data science, data engineers, analysts and managers. The format includes a combination of talks, workshops, and panels with an optional expo and lots of time for networking in a casual environment with entertainment.
AI and Data Science in Trading
Date: March 16-18
Location: New York, NY
Description: Artificial Intelligence and Data Science in Trading is the event for senior management from hedge funds and investment banks to discover how to maximize this opportunity. You will learn from 50 world-class speakers, from leading asset management companies, academia and technology providers. In addition to the individual speaker sessions and panel debates, the many networking opportunities allows you to meet with peers and international experts who’s focus and challenge are completely aligned with yours.
GPU Technology Conference
Date: March 22-26, October 19-21
Location: San Jose, CA, Washington, DC
Description: Interact with experts on the present and future of AI and deep learning, IoT, self-driving cars, and more. Choose from over 600 sessions and programs created to facilitate discussions, educate attendees, and forge relationships with technology leaders across a range of fields.
AI and Big Data in Cancer
Date: March 29-31
Location: Boston, MA
Description: The future of medicine is data-driven and AI-enabled. Artificial intelligence will impact diagnosis, treatment decisions and patient care. Learn from others along the value-chain to understand how to effectively translate technology, data and analytic innovations into clinical practices and patient benefits and find the right partners to move your innovations forward.
Marketing Analytics and Data Science West
Date: March 31-April 2
Location: San Francisco, CA
Description: Over the course of three days, discover the infinite possibilities that emerge when data science, marketing analytics, insights, and marketing executives break down silos and work together to drive bottom line impact across an organization. All sessions and speakers at MADS focus on three core principles: Best practices for ensuring synergy between data science and analytics; hacks to ensure a data-driven mindset is embedded into your organizational culture, and proven strategies for enhancing the value of impact in the overall organization.
Open Data Science Conference
Date: April 13-17 (East), October 26-20 (West)
Location: Boston, MA, San Francisco, CA
Description: Data science is a collaborative effort. At ODSC our conferences host not only data scientists but many other professional looking to accelerate their skills and knowledge including software engineers, analysts, executives and much more across many industries. We also ensure we have appropriate difficulty levels from beginner to advanced and in between.
PyCon
Date: April 15-23
Location: Pittsburgh, PA
Description: PyCon is the largest annual gathering for the community using and developing the open-source Python programming language. It is produced and underwritten by the Python Software Foundation, the nonprofit organization dedicated to advancing and promoting Python. Through PyCon, the PSF advances its mission of growing the international community of Python programmers.
Southern Data Science Conference
Date: April 16-17
Location: Atlanta, GA
Description: If you are a data science enthusiast who is interested in learning from the experts and top researchers about the cutting-edge technologies and best practices in data science, don’t hesitate to register. SDSC is a single track conference which will let you attend all the talks without a worry of missing an interesting talk due to a conflict with another interesting talk’s time or due to a small break-out room where people are packed to attend that interesting talk.
Operational Machine Learning (UNESIX)
Date: May 1
Location: Santa Clara, CA
Description: OpML is dedicated to operational machine learning and variants such as deep learning and reinforcement learning. The conference will focus on the final stage of deploying machine learning into production and managing its subsequent continuous lifecycle. Join systems and ML researchers and practitioners (e.g., data scientists, data engineers, system/IT administrators, and DevOps specialists) to develop and bring to practice impactful research advances and cutting edge solutions.
SIAM Conference on Mathematics of Data Science
Date: May 7-9
Location: Cincinnati, OH
Description: This conference will provide a forum to present work that advances mathematical, statistical, and computational methods in the context of data and information sciences and aims to unite researchers who are building mathematical foundations for data science and making principled applications to science, engineering, technology, and society. This conference is co-located with SIAM International Conference on Data Mining.
Insurance AI and Innovative Tech USA
Date: May 12-13
Location: Chicago, IL
Description: Insurance AI and Innovative Tech USA 2020 is bringing together over 500 senior innovation and business unit executives to uncover the rewards of embedding technologies such as AI, IoT, blockchain and automation into their working processes and operations. Nowhere else will you find strategies to create valuable, relevant insurance products and services and seamless experiences through the power of tech-enhanced operations.
The Data Science Conference
Date: May 14-15
Location: Chicago, IL
Description: The Data Science Conference provides a space where analytics professionals can network without being prospected by other attendees. This conference is by professionals for professionals. No presentation time will be allotted to sales pitches. No sponsor booths will be outside. We will not recruit you or sell your information. There will be no paid advertising. Agenda/speakers is open to the public, no email needed. Presentation slides will be provided at no extra cost (those presenters agree to share).
PMSA Trifecta
Date: May 17-20
Location: Louisville, KY
Description: The Pharmaceutical Management Science Association Annual Conference is the premier event for pharma data science professionals. Don’t miss out on all of the illuminating podium presentations, panel discussions, poster presentations, and networking opportunities. The PMSA Conference is a great way to keep tabs on innovation in the pharma analytics industry, and network with colleagues
Data Summit (Database Trends and Applications)
Date: May 19-20
Location: Boston, MA
Description: At Data Summit, you’ll hear the innovative approaches the world’s leading companies are taking to solve today’s key challenges in data management. Whether your interests lie in the technical possibilities and challenges of new and emerging technologies or using big data for business intelligence, analytics, and other business strategies. This event is co-located with AI & Machine Learning Summit, DataOps Boot Camp, and Data Lake Boot Camp.
Machine Learning Week/Deep Learning World
Date: May 31-June 4
Location: Las Vegas, NV
Description: Machine Learning Week 2020 (formerly Predictive Analytics World) features seven tracks of sessions covering the commercial deployment of machine learning. Register to attend one or more of Machine Learning World’s five co-located conferences: Predictive Analytics World Business, Financial, Industry 4.0, Healthcare, and Deep Learning World.
The Innovation Enterprise DATAx Conference
Date: June 10-11
Location: San Francisco, CA
Description: DATAx brings together over 500 business leaders and data scientists from across the country to learn, network and develop together the future of AI an its application in business, with dedicated conferences tackling the role of AI in marketing tech, healthcare and gaming. Connect with the pioneers driving change and inspire yourself with the latest findings on machine learning models, data strategy and advanced analytics.
AI World Government Conference
Date: June 22-24
Location: Washington, DC
Description: AI World Government provides a comprehensive three-day forum to educate and inform public sector agencies on proven strategies and tactics to successfully deploy AI and cognitive technologies. With AI technology at the forefront of our everyday lives, there are significant efforts already underway by federal agencies to deploy and integrate data-driven government services.
Spark + AI Summit
Date: June 22-25
Location: San Francisco, CA
Description: As the largest data and machine learning conference, Spark + AI Summit brings together over 7,500 engineers, scientists, developers, analysts and leaders from around the world to San Francisco every year. Over four days, we shape the future of big data, analytics and AI as we share knowledge, hear from thought leaders and train on open-source technologies like Apache Spark™, Delta Lake, MLflow, Koalas, TensorFlow and PyTorch.
VentureBeat Transform 2020
Date: July 15-16
Location: San Francisco, CA
Description: Companies are investing in smart assistants, chat bots and NLP offerings to stay up with the revolution happening in engagement, where consumers are using voice and text with non-humans to communicate with businesses at unprecedented levels. Attend VB Transform’s Conversational AI Summit where experts discuss how companies are approaching these challenges organizationally.
Industrial Conference on Data Mining
Date: July 15-19
Location: New York, NY
Description: The Industrial Conference on Data Mining ICDM is held on yearly basis. Researchers from all over the world will present theoretical and application-oriented topics on Data Mining. Practicioners can present and discuss their ongoing projects in Industry Sessions.
Algorithm Conference
Date: July 16-18
Location: Austin, TX
Description: Algorithm Conference 2020 will bring you 3 days of high-level workshops and presentations that show how algorithms have been shaping and will continue to shape every aspect of our lives. Special consideration will be given to sessions that highlight innovative technical and commercial developments in big data, artificial intelligence and blockchain technologies, their ethical and privacy implications, and how they impact and are impacted by public policies.
International Conference on Machine Learning and Data Mining
Date: July 18-23
Location: New York, NY
Description: The aim of the conference is to bring together researchers from all over the world who deal with machine learning and data mining in order to discuss the recent status of the research and to direct further developments. Basic research papers as well as application papers are welcome. All kinds of applications are welcome but special preference will be given to multimedia related applications, biomedical applications, and webmining.
Data Science and Intelligent Systems
Date: August 6-8
Location: Miami, FL
Description: ISSAT International Conference on Data Science and Intelligent Systems aims to provide a premier forum that brings together researchers, industry practitioners, as well as potential users of big data and advanced analytics, for discussion and exchange of ideas on the latest theoretical developments in Data Science and Intelligent Systems as well as on the best practices for a wide range of applications.
KDD Conference
Date: August 22-27
Location: San Diego, CA
Description: The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.
Strata Data & AI Conference
Date: September 14-17
Location: New York, NY
Description: The brightest minds in data and AI come together at the O’Reilly Strata Data & AI Conference to develop new skills, share best practices, and discover how tools and technologies are evolving to meet thorny challenges. If you want to leverage data for a competitive edge and put AI to work, register now.
Rev 3 Data Science Leaders Summit
Date: October 13-14
Location: Austin, TX
Description: Rev 3 features interactive sessions, practical workshops, poster sessions for interesting modeling techniques and accomplishments, and stimulating conversations about how to make data science an enterprise-grade capability. Topics span high-level questions like how to best structure your data science team to technical challenges like the best way to integrate a data science platform within existing IT infrastructures and workflows.
The AI & Big Data Expo
Date: November 4-5
Location: Santa Clara, CA
Description: The AI & Big Data Expo will showcase the most cutting-edge technologies from more than 350 exhibitors and provide insight from over 500 speakers sharing their unparalleled industry knowledge and real-life experiences. The expo itself will bring together key industries from across the globe for two days of top-level content and discussion across 5-colocated events covering, AI, big data, IoT, cyber security, cloud, blockchain, and 5G.