ODSC EAST 2024 / IN-PERSON & VIRTUAL
Boston Hynes Convention Center, MA
Speakers
Hours of Content
Companies
Kirk Borne - Principal Data Scientist and Executive Advisor at Booz Allen Hamilton @ ODSC East 2019
Hybrid Attendees
Kirk Borne - Principal Data Scientist and Executive Advisor at Booz Allen Hamilton @ ODSC East 2019
ODSC is the best community data science event on the planet. It is comprehensive and totally community-focused: it’s the conference to engage, to build, to develop, and to learn from the whole data science community.
Kirk Borne – Principal Scientist and Executive Advisor at Booz Allen Hamilton @ ODSC East 2019
What a spectacular first day attending ODSC East. This has been a wonderful day full of new knowledge, new connections, and the discovery of problems to solve and solutions alike.
Data Scientist, USA
It’s been such a wonderful week learning about all the incredible work that’s being done within the field of data science – with too many incredible sessions to list at the moment.
Machine Learning Engineer | Data Scientist, USA
It was a wonderful experience, and I literally am going back with an enhanced understanding of so many concepts, while learning about many new products and theories. Thanks, ODSC for this opportunity.
Product Specialist, India
MEET OUR ODSC 2023 ATTENDEES AND SPEAKERS
Build AI Skills in 2024
ODSC is the best community data science event on the planet. It is comprehensive and totally community-focused: it’s the conference to engage, to build, to develop, and to learn from the whole data science community.
Kirk Borne – Principal Scientist and Executive Advisor at Booz Allen Hamilton @ ODSC East 2019
What a spectacular first day attending ODSC East. This has been a wonderful day full of new knowledge, new connections, and the discovery of problems to solve and solutions alike.
Data Scientist, USA
It’s been such a wonderful week learning about all the incredible work that’s being done within the field of data science – with too many incredible sessions to list at the moment.
Machine Learning Engineer | Data Scientist, USA
It was a wonderful experience, and I literally am going back with an enhanced understanding of so many concepts, while learning about many new products and theories. Thanks, ODSC for this opportunity.
Product Specialist, India
Why Attend the Leading AI Conference
AI EXPO AND DEMO HALL
Meet AI experts from some of the leading AI companies and startups in the industry at our AI Expo and Demo Hall. With multiple live demos get a better understanding of Build Vs Buy decisions and learn about the latest advancements in AI for enterprises and discover how to build AI better
HANDS-ON TRAINING
Top instructors help you acquire job-ready skills and stay current in LLMs, ML, DL, NLP, and more at ODSC West. With dozens of sessions to choose from. Our immersive, expert-led training also offers certification for AI practitioners at all levels.
CHOOSE YOUR PASS
Pick the pass that suits your schedule and build job-ready skills. We offer two and three-day passes that will give you the breadth and depth of content to succeed, from immersive training to inspirational talks. In addition, we have business and virtual passes.
LEADING EXPERT SPEAKERS
ODSC is renowned for bringing together the brightest minds and top practitioners in the field. Explore cutting-edge insights, innovations, and strategies shared by leading expert speakers. Don’t miss this opportunity to learn from the best in AI!
NETWORKING
Experience numerous in-person and virtual networking opportunities, or challenge yourself to connect with as many industry professionals as possible during our Networking events. Seize this opportunity to grow your professional network to forge invaluable connections within the growing filed of AI!
Why Attend the Leading AI Conference
TRAINING
Our Top instructors help you acquire job-ready skills and stay current in LLMs, ML, DL, NLP, and more at ODSC West. With dozens of sessions to choose from. Our immersive, expert-led training also offers certification for AI practitioners at all levels.
AI EXPO HALL
Meet AI experts from some of the leading AI companies and startups in the industry at our AI Expo and Demo Hall. With multiple live demos get a better understanding of Build Vs Buy decisions and learn about the latest advancements in AI for enterprises and discover how to build AI bette
NETWORKING
Experience numerous in-person and virtual networking opportunities, or challenge yourself to connect with as many industry professionals as possible during our Networking events. Seize this opportunity to grow your professional network to forge invaluable connections within the growing filed of AI!
LEADING EXPERT SPEAKERS
ODSC is renowned for bringing together the brightest minds and top practitioners in the field. Explore cutting-edge insights, innovations, and strategies shared by leading expert speakers. Don’t miss this opportunity to learn from the best in AI!
CHOOSE YOUR PASS
Pick the pass that suits your schedule and build job-ready skills. We offer 2 and 3-day (4 with Bootcamp) passes that will give you the breadth and depth of content to succeed, from immersive training to inspirational talks. In addition, we have business and virtual passes.
Conference Tracks
Registration
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* 5 Pre-Bootcamp live tutorials on Data Literacy, AI Literacy, Programming with Python, and SQL (Value $796) Check more info here.
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Sheraton Boston Hotel
For a limited time, hotel rooms start from just $274 + taxes and fees per night.
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Pay by invoice/purchase order
You are able to buy your ticket via Invoice/Purchase Order (PO).
Please submit your request to receive a Purchase Order HERE.
Group Discounts
If you have a group of 3 to 13 or more, please email us at info@odsc.com to enquire about additional discounts. Please mention the size of your group and the types of passes required.
Donate to our Fundraise
For this year’s event, ODSC will double donations and fundraising to Support of Ukraine. Please support Ukraine, and its refugees and help those who stayed fighting for their country. All donations would be sent to the Come Back Alive Foundation.
Please donate what you can via our registration. No purchase is necessary to donate and 100% of funds raised are donated.
Past ODSC Speakers & Instructors
EAST 2024 SPEAKERS COMING SOON
Chelsea Finn, PhD
Chelsea Finn is an Assistant Professor in Computer Science and Electrical Engineering at Stanford University. Her research interests lie in the capability of robots and other agents to develop broadly intelligent behavior through learning and interaction. To this end, her work has pioneered end-to-end deep learning methods for vision-based robotic manipulation, meta-learning algorithms for few-shot learning, and approaches for scaling robot learning to broad datasets. Her research has been recognized by awards such as the Sloan Fellowship, the NSF CAREER Award, the MIT Tech Review 35 Under 35, and the ACM doctoral dissertation award, and has been covered by various media outlets including the New York Times, Wired, and Bloomberg. Prior to Stanford, she received her Bachelor’s degree in Electrical Engineering and Computer Science at MIT and her PhD in Computer Science at UC Berkeley.
Neural Networks Make Stuff up. What Should We do About it?(Keynote)
Dr. Petar Veličković
Petar Veličković is a Staff Research Scientist at Google DeepMind, Affiliated Lecturer at the University of Cambridge, and an Associate of Clare Hall, Cambridge. Petar holds a PhD in Computer Science from the University of Cambridge (Trinity College), obtained under the supervision of Pietro Liò. His research concerns geometric deep learning—devising neural network architectures that respect the invariances and symmetries in data (a topic I’ve co-written a proto-book about). Petar’s research has been used in substantially improving travel-time predictions in Google Maps, and guiding intuition of mathematicians towards new top-tier theorems and conjectures.
Sarah Bird, PhD
Sarah leads Responsible AI for foundational AI technologies at Microsoft. Sarah works to accelerate the adoption and positive impact of AI by bringing together the latest innovations in research, product, and policy to enable the use of new AI technologies such as generative AI models.
As an expert in responsible AI implementation, she contributes to the development and adoption of responsible AI principles, best practices, and technologies company-wide. Sarah led the cross-company team of experts to develop the new Bing responsibly and led the Responsible AI development for Github Copilot. Sarah led the product development of responsible AI tools including Fairlearn, SmartNoise and InterpretML. She is an active member of the Microsoft AETHER committee and contributed to the creation of the Microsoft Responsible AI Standard. Sarah was one of the founding researchers in the Microsoft FATE research group.
Sarah is active contributor to the open source ecosystem, she co-founded ONNX, Fairlearn and OpenDP’s SmartNoise and was a leader in the Pytorch 1.0 and InterpretML projects. She was an early member of the machine learning systems research community and has been active in growing and forming the community. She co-founded the MLSys(opens in new tab) research conference and the Learning Systems workshops. She has a Ph.D. in computer science from UC Berkeley advised by Dave Patterson), Krste Asanovic, and Burton Smith(opens in new tab).
Building and Using Generative AI Responsibly: Microsoft’s Journey(Main Keynote)
Jepson Taylor
Jepson has over 18 years of machine-learning experience. After studying chemical engineering Jepson worked for Intel/Micron in applied semiconductor building process control and fault models. After that, he worked as a quant at a hedge fund on a 600 GPU cluster. Taylor then joined a young Sequoia-backed HR startup called HireVue to run their data group where they delivered 14 patents. In 2017 Jepson co-founded Zeff.ai with David Gonzalez to pursue deep learning for image, audio, video, and text for the enterprise. Zeff was acquired by DataRobot in 2020 where Jepson worked as their Chief AI Evangelist until recently joining Dataiku as their Chief AI Strategist. Jepson is very active in the global startup communities.
From AI to GX: The Quantum Leap in Algorithmic Evolution(Keynote)
Nick Bostrom, PhD
Nick Bostrom is a Professor at Oxford University, where he heads the Future of Humanity Institute as its founding director. He is the author of more than 200 publications, including Anthropic Bias (2002), Global Catastrophic Risks (2008), Human Enhancement (2009), and Superintelligence: Paths, Dangers, Strategies (2014), which became a New York Times bestseller and sparked a global conversation about the future of AI. His academic work has been translated into more than 30 languages, and he is the world’s most cited philosopher aged 50 or under. He is a repeat main-stage TED speaker and he has been interviewed more than 1,000 times by various media. He has been on Foreign Policy’s Top 100 Global Thinkers list twice and was included in Prospect’s World Thinkers list, the youngest person in the top 15. Some of his recent work has focused on the ethics of digital minds. He has a book in the works on a topic yet to be disclosed.
The Ethics of Digital Minds: A baffling new frontier(Keynote)
Raluca Ada Popa, PhD
Raluca Ada Popa is the Robert E. and Beverly A. Brooks associate professor of computer science at UC Berkeley working in computer security, systems, and applied cryptography. She is a co-founder and co-director of the RISELab and SkyLab at UC Berkeley, as well as a co-founder of Opaque Systems and PreVeil, two cybersecurity companies. Raluca has received her PhD in computer science as well as her Masters and two BS degrees, in computer science and in mathematics, from MIT. She is the recipient of the 2021 ACM Grace Murray Hopper Award, a Sloan Foundation Fellowship award, Jay Lepreau Best Paper Award at OSDI 2021, Distinguished Paper Award at IEEE Euro S&P 2022, Jim and Donna Gray Excellence in Undergraduate Teaching Award, NSF Career Award, Technology Review 35 Innovators under 35, Microsoft Faculty Fellowship, and a George M. Sprowls Award for best MIT CS doctoral thesis.
Lukas Biewald
Lukas Biewald is the CEO and co-founder of Weights & Biases, a developer-first MLOps platform. He also co-founded Figure Eight (formerly CrowdFlower), a pioneer in the ML data-labeling space. Figure Eight was acquired by Appen (APX) in 2019. Lukas has dedicated his career to optimizing ML workflows, teaching ML practitioners, making machine learning more accessible to all, and occasionally tinkering with robots.
Stefanie Molin
Stefanie Molin is a software engineer and data scientist at Bloomberg in New York City, where she tackles tough problems in information security, particularly those revolving around data wrangling/visualization, building tools for gathering data, and knowledge sharing. She is also the author of “Hands-On Data Analysis with Pandas,” which is currently in its second edition. She holds a bachelor’s of science degree in operations research from Columbia University’s Fu Foundation School of Engineering and Applied Science, as well as a master’s degree in computer science, with a specialization in machine learning, from Georgia Tech. In her free time, she enjoys traveling the world, inventing new recipes, and learning new languages spoken among both people and computers.
Valentina Alto
Valentina is a Data Science MSc graduate and Cloud Specialist at Microsoft, focusing on Analytics and AI workloads within the manufacturing and pharmaceutical industry since 2022. She has been working on customers’ digital transformations, designing cloud architecture and modern data platforms, including IoT, real-time analytics, Machine Learning, and Generative AI. She is also a tech author, contributing articles on machine learning, AI, and statistics, and recently published a book on Generative AI and Large Language Models.
In her free time, she loves hiking and climbing around the beautiful Italian mountains, running, and enjoying a good book with a cup of coffee.
The AI Paradigm Shift: Under the Hood of a Large Language Models(Workshop)
Dr. Andre Franca
Andre is the co-founder and CTO of connectedFlow, developing the next generation of AI co-pilots to help e-commerce/D2C operators make better decisions, without the pain of data analytics. He’s previously the VP of R&D at causaLens, where he was applying cutting edge Causal AI research to solve business-critical problems in global enterprises. Prior to that he was an executive director at Goldman Sachs, developing and validating quantitative models used by the business. Andre received his PhD in theoretical physics from the University of Munich, where he studied the interplay between quantum mechanics and general relativity in black-holes.
Causal AI: from Data to Action(Workshop)
Gwendolyn D. Stripling, Ph.D.
Gwendolyn Stripling, Ph.D., is an Artificial Intelligence and Machine Learning Content Developer at Google Cloud. Stripling is author of the widely popular YouTube video, “Introduction to Generative AI” and of the O’Reilly Media book “Low-Code AI: A Practical Project Driven Approach to Machine Learning”. They are also the author of the LinkedIn Learning video “Introduction to Neural Networks”. Stripling is an Adjunct Professor and member of Golden Gate University’s Masters in Business Analytics Advisory Board. Stripling enjoys speaking on AI/ML, having presented at Dominican University of California’s Barowsky School of Business Analytics, Golden Gate University’s Ageno School of Business Analytics, and numerous Tech conferences.
No-Code and Low-Code AI: A Practical Project Driven Approach to ML(Tutorial)
Jack McCauley
Jack McCauley an Innovator in Residence at Jacobs Institute for Design Innovation at UC Berkeley, Professor at UC Berkeley, Co-Founder of Oculus, an American engineer, hardware designer, inventor, video game developer and philanthropist. Jack is best known for designing the guitars and drums for the Guitar Hero video game series, and as a co-founder and former chief engineer at Oculus VR. At Oculus, Jack designed and built the Oculus DK1 and DK2 virtual reality headsets. Oculus was acquired by Facebook for $2 Billion. McCauley holds numerous U.S. patents for inventions in software, audio effects, virtual reality, motion control, computer peripherals, and video game hardware and controllers. Jack was awarded a full scholarship to attend University of California, Berkeley where he earned a BSc., EECS in Electrical Engineering and Computer Science in 1986. Jack has authored numerous research papers in the field of artificial intelligence (AI) and mathematical modeling of AI-based systems and is currently pursuing new projects at his private R&D facility and hardware incubator in Pleasanton, California.
Michael Auli
Michael Auli is a principal research scientist/director at FAIR in Menlo Park, California. His work focuses on speech and NLP and he helped create projects such as wav2vec/data2vec, the widely used fairseq toolkit, the first modern feed-forward seq2seq models outperforming RNNs for NLP, and several top ranked submissions at the WMT news translation task in 2018 and 2019. Before that Michael was at Microsoft Research, where he did early work on neural machine translation and using neural language models for conversational applications. During his PhD at the University of Edinburgh he worked on natural language processing and parsing. http://michaelauli.github.io
General and Efficient Self-supervised Learning with data2vec(Talk)
Nils Reimers
Nils Reimers is an NLP / Deep Learning researcher with extensive experience on representing text in dense vector spaces and how to use them for various applications. During his research career, he created sentence-transformers that were the foundation for many today’s semantic search applications.
In 2022, Nils joined Cohere.com to lead the team on smarter semantic search technologies and how to connect LLMs to enterprise data. Here, his teams develop new foundation models that can understand and reason over complex data.
Connecting Large Language Models – Common Pitfalls & Challenges(Talk)
Eli Chen
Eli is CTO and Co-Founder at Credo AI. He has led teams building secure and scalable software at companies like Netflix and Twitter. Eli has a passion for unraveling how things work and debugging hard problems. Whether it’s using cryptography to secure software systems or designing distributed system architecture, he is always excited to learn and tackle new challenges. Eli graduated with an Electrical Engineering and Computer Science degree from U.C. Berkeley.
Amey Porobo Dharwadker
Amey Porobo Dharwadker is a seasoned Machine Learning Engineering Manager at Meta, leading the Facebook Video Recommendations Ranking team. He is renowned for his pivotal role in developing personalization models used by billions of global users everyday, which have significantly contributed to Facebook’s impressive user growth. His contributions have led to the success of Facebook Watch and Reels, now engaging over 1.25 billion monthly users. Prior to this, he made substantial strides in improving user engagement and revenue growth at Facebook through his work on News Feed and Ads Machine Learning. He is a prolific researcher with multiple international publications in recommender systems, and he actively serves as a program committee member for top-tier AI conferences including AAAI, AISTATS, IJCAI, CIKM and ECIR. As a thought leader, Amey is a sought-after speaker at prestigious AI venues and contributes to hackathons, angel syndicates and startup accelerators as a mentor. He also plays a significant role on the juries of renowned global technology competitions, including the CES Innovation Awards and Edison Awards. He holds a Master’s degree from Columbia University in the City of New York and a Bachelor’s degree from the National Institute of Technology Tiruchirappalli, India.
Beyond the Buzz: Decoding Popularity Bias in Large-Scale Recommender Systems(Talk)
Michelle Yi
Michelle is a technology leader that specializes in machine learning and cloud computing. She has 15 years of experience in the technology industry, contributed to the original IBM Watson showcased on Jeopardy, and enjoys building and leading teams that develop and deploy AI solutions to solve real-world problems. Michelle is passionate about diversity, STEM education/careers for our minority communities, and serves both on the board of Women in Data and as an avid volunteer for Girls Who Code.
Building Generative AI Applications: An LLM Case Study(Talk)
Supriya Rao
Supriya is an Engineering Manager working on PyTorch at Meta. Her team works on architecture optimization techniques like quantization, pruning as well as other core components of PyTorch 2.0 whereby enabling users to run AI models on different HW efficiently using native PyTorch. Prior to Meta, she worked as a software engineer at Nvidia on improving their GPU Architecture and accelerating AI models via TensorRT for inference. Supriya has an MS in CSE from University of Michigan, Ann Arbor and a bachelor’s degree from Bits Pilani, India.
Thomas Scialom, PhD
Thomas Scialom, PhD is an A.I. Research Scientist at Meta. He is behind some of the world’s best-known Generative A.I. projects including Llama 2, BLOOM, Toolformer and Galactica. He is contributing to the development of Artificial General Intelligence (AGI). Thomas has lectured at many of the top A.I. labs (e.g., Google, Stanford, MILA). He holds a PhD from Sorbonne University, where he specialized in Natural-Language Generation with Reinforcement Learning.
Yaron Haviv
Yaron Haviv is a serial entrepreneur who has been applying his deep technological experience in AI, cloud, data and networking to leading startups and enterprises since the late 1990s. As the Co-Founder and CTO of Iguazio, Yaron drives the strategy for the company’s MLOps platform and led the shift towards the production-first approach to data science and catering to real-time AI use cases. He also initiated and built Nuclio, a leading open source serverless framework with over 4,000 Github stars and MLRun, a cutting-edge open source MLOps orchestration framework.
Prior to co-founding Iguazio in 2014, Yaron was the Vice President of Datacenter Solutions at Mellanox (now NVIDIA – NASDAQ: NVDA), where he led technology innovation, software development and solution integrations. He also served as the CTO and Vice President of R&D at Voltaire, a high-performance computing, IO and networking company which floated on the NYSE in 2007 and was later acquired by Mellanox (NASDAQ:MLNX).
Yaron is an active contributor to the CNCF Working Group and was one of the foundation’s first members. He sits on the Data Science Committee of the AI Infrastructure Alliance (AIIA), of which Iguazio is a founding member. He is co-authoring a book on Implementing MLOps in the Enterprise for O’Reilly. Yaron presents at major industry events worldwide and writes tech content for leading publications including TheNewStack, Hackernoon, DZone,Towards Data Science and more.
Implementing Gen AI in Practice(Track Keynote)
Sarah Kefayati
Sarah Kefayati is the Senior Technical Staff for IBM.
Driving Success for Sellers by Infusing AI in CRM Platform(AI X Talk)
Alexander Ratner, PhD
Alex Ratner is the co-founder and CEO at Snorkel AI, and an Affiliate Assistant Professor of Computer Science at the University of Washington. Prior to Snorkel AI and UW, he completed his Ph.D. in CS advised by Christopher Ré at Stanford, where he started and led the Snorkel open source project, and where his research focused on applying data management and statistical learning techniques to emerging machine learning workflows such as creating and managing training data and applying this to real-world problems in medicine, knowledge base construction, and more. Previously, he earned his A.B. in Physics from Harvard University.
Solving the Last Mile Problem of Foundation Models with Data-Centric AI (AI X Talk)
Dan Shiebler
As the Head of Machine Learning at Abnormal Security, Dan builds cybercrime detection algorithms to keep people and businesses safe. Before joining Abnormal Dan worked at Twitter: first as an ML researcher working on recommendation systems, and then as the head of web ads machine learning. Before Twitter Dan built smartphone sensor algorithms at TrueMotion and Computer Vision systems at the Serre Lab.
Detecting Cyberattacks in Real Time with ML(Talk)
AI Safety and Security Panel(AI X Panel)
Vipul Ved Prakash
Vipul Ved Prakash is a software engineer and Internet entrepreneur. He is the co-founder of anti-spam company Cloudmark, social-media search company Topsy, and open-source AI company TogetherAI. In 2013, Topsy was acquired by Apple Inc. The acquisition was reported to be valued over $200M. In early 2000s, Prakash became widely known for creating Vipul’s Razor, a popular open-source anti-spam system. He was named to the list of 2003’s Top 100 young innovators in the world by MIT Technology Review for this work on anti-spam, at the age of 25.
The Cost of AI Compute and Why AI Clouds Will Look Different Than Traditional Clouds(AI X Talk)
Jay Alamar
Jay Alammar, through his popular machine learning blog, Jay has helped millions of engineers visually understand machine learning tools and concepts from the basic (ending up in NumPy, pandas docs) to the cutting-edge (The Illustrated Transformer, BERT, GPT-3).
The Power and Promise of Synthetic Data(AI X Panel)
Deep Dive Hands-on Training That Build Certifiable Job-Ready Skills
Expanded Training: Over 60+ Hands-on Tutorials, Workshops, and training sessions
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More Choice: Choose from 2,3,4 day passes that include IN-PERSON and VIRTUAL options
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Get Certified with ODSC West 2023
- ODSC West 2023 Mini-Bootcamp Certification of Completion
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- Ai + Training Machine Learning Certificate Course (Included in Bootcamp and VIP Passes)
Participate at ODSC East 2024
As part of the global data science community we value inclusivity, diversity, and fairness in the pursuit of knowledge and learning. We seek to deliver a conference agenda, speaker program, and attendee participation that moves the global data science community forward with these shared goals. Learn more on our code of conduct, speaker submissions, or speaker committee pages.
SAVE THE DATE!
ODSC EAST Conference April 23rd – April 25th
Previous Partners
ODSC is proud to partner with numerous industry leaders providing organizations with the tools to accelerate digital transformation with AI. You can reach out to our Expo partners prior to the event for more information.
INDUSTRY PARTNER
NETWORKING PARTNERS
MEDIA & COMMUNITY PARTNERS
Event Venue
Boston Hynes Convention Center
900 Boylston St.
Boston, MA 02115
Interested in Partnering With ODSC?
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