May 9th-11th, 2023

MLOps

Focusing on the practice, engineering, workflows and DataOps of data science
Register Now & Save 40%

Limited Discount 40% Off | Ends soon

As data science extends its reach across an enterprise, the need for better management, workflow, production and deployment practices increases. The challenges of deploying and monitoring models in production, managing data science workflows and teams, and understanding ROI are a few of the issues organizations wrestle with.

Learn best practices for effective data science management

Sessions in this broad focus area will look at uses cases, best practices, and stories from the field to show how to effectively incorporate data science practice into the wider business process.  This focus area will look beyond data sourcing and modeling towards the many challenges teams need to overcome to effectively apply data science in their organization.

Some of Our Current MLOps Speakers

VP & Dean, Data AnalyticsWestern Governors University

Joe Dery, PhD

Joe Dery joined Western Governors University’s College of IT as the VP & Dean of Data Analytics in summer, 2022. At WGU, Joe is working to help more than 3,000 current analytics students learn how to effect change in their professional roles – surgically balancing a combination of mathematics, data management, programming, and business influence skills. Prior to joining academia full-time, Joe spent much of his corporate career working for EMC – and later, Dell Technologies – where he joined as a “hands-on-keyboard” Data Scientist in 2011. Joe went on to hold leadership positions in Dell’s Sales, Finance, and Supply Chain organizations driving efforts in Data Science, Business Intelligence, Digital Strategy, and Digital Transformation. Across these domains, Joe’s efforts touched a wide variety of business problems, including ML-driven sales quota allocations, sales forecasting & opportunity prioritization, customer cross-sell/whitespace targeting, addressable marketing opportunity sizing, sales territory optimization, supply chain planning optimization, data/analytics literacy training, and self-service BI. Building from his experiences, Joe is often invited to speak on the crucial role of decision intelligence frameworks, change management, and “improv” in bringing analytics solutions to life. Joe holds a Ph.D in Business Analytics & an M.S. in Marketing Analytics, both from Bentley University.

Unlock the Power of Data Science for Real Change: A Blueprint for Decision Intelligence(Track Keynote)

Staff MLOps EngineerIntuit Mailchimp

Emily Curtin

Emily is a Staff MLOps Engineer at Intuit Mailchimp, meaning she gets paid to say “it depends” and “well actually.” Professionally she leads a crazy good team focused on helping Data Scientists do higher quality work faster and more intuitively. Non-professionally she paints huge landscapes and hurricanes in oils, crushes sweet V1s (as long as they’re not too crimpy), rides her bike, reads a lot, and bothers her cats. She lives in Atlanta, GA, which is inarguably the best city in the world, with her husband Ryan who’s a pretty darn cool guy.

Containers + GPUs In Depth(Talk)

Chair of the Apache Arrow Program Management Committee | Staff Software EngineerInfluxData

Andrew Lamb

Andrew Lamb is the chair of the Apache Arrow Program Management Committee (PMC) and a Staff Software Engineer at InfluxData. He works on InfluxDB IOx, a time series database engine written in Rust, that heavily uses the Apache Arrow ecosystem. He actively contributes to many open source software projects including the Apache Arrow Rust implementation and the Apache Arrow DataFusion query engine.

Co-founder & CTOQwak

Yuval Fernbach

Yuval Fernbach is the Co-founder & CTO of Qwak, where he is focused on building next-generation ML Infrastructure for ML teams of various sizes. Before Qwak, Yuval was an ML Specialist at AWS , where he helped AWS Customers across EMEA with their ML challenges. Previous to that, he was the CTO of the IT department of the IDF (“Mamram”).

Co-Founder, Chief Data & Product OfficerYData

Fabiana Martins Clemente

Fabiana Clemente is the co-founder and CDO of YData, combining Data Understanding, Causality, and Privacy as her main fields of work and research, with the mission to make data actionable for organizations. Passionate for data, Fabiana has vast experience leading data science teams in startups and multinational companies. Host of the “When Machine Learning meets privacy” podcast and a guest speaker at Datacast and Privacy Please, the previous WebSummit speaker, was recently awarded “Founder of the Year” by the South Europe Startup Awards.

Hands-on Data-Centric AI: Data Preparation Tuning – Why and How?(Workshop)

Co-Founder & CEODagsHub

Dean Pleban

Dean has a background combining physics and computer science. He’s worked on quantum optics and communication, computer vision, software development, and design. He’s currently CEO at DagsHub, where he builds products that enable data scientists to work together and get their models to production, using popular open-source tools.

He’s also the host of the MLOps Podcast, where he speaks with industry experts about ML in production.

Solving MLOps from First Principles(Talk)


More talks, hands-on workshop and training sessions
see all sessions

Who Should Attend

Data Science is cross industry and cross enterprise, impacting many different departments across job roles and functions. This track is not only for data scientists of all levels but for anyone interested in the practice and management of data science, including:

  • Data scientists moving beyond model experimentation looking to understand production workflow

  • Data scientists seeking to improve the overall practice of management and development

  • Anyone interested in understanding better collaborative and agile management techniques as applied to data science

  • Business professionals and industry experts looking to understand data science in practice

  • Software engineers and technologists who need to work with data science workflows and understand the unique requirements of these systems

  • CTO, CDS, and other managerial roles that require a bigger picture view of data science

  • Technologists in the field of DevOps, databases, project management and others looking to break into data science

  • Students and academics looking for more practical applied training in data science tools and techniques

Why Attend?

Accelerate and broaden your knowledge of key areas in data science, including deep learning, machine learning, and predictive analytics

With numerous introductory level workshops, you get hands-on experience to quickly build your skills

Post-conference, get access to recorded talks online  and learn from over 100+ high quality recording sessions that let you review content at your own pace 

Take time out of your busy schedule to accelerate your knowledge of the latest advances in data science practice and management

Learn directly from world-class instructors who are the authors and contributors to many of the tools and languages used in data science today

Meet hiring companies, ranging from hot startups to Fortune 500, looking to hire professionals with data science skills at all levels

Network at our numerous lunches and events to meet with data scientists, enthusiasts, and business professionals

Get access to other focus area content, including machine learning & deep learning, data visualization, and much more

What You’ll Learn

Data science has many focus areas.  The goal of this track is to accelerate your knowledge of data science through a series of introductory level training sessions, talks, tutorials and workshops on the most important data science tools and topics.  

  • Experimentation to Production

  • Data Science DevOps

  • Agile Data Science

  • Data Science Architecture

  • Runtime Pipelines

  • Model Monitoring & Auditing

  • Model Depreciation in Production

  • Manage Data Science in Your Organization

  • Collaborative Practices and Tools

  • Team Management

  • Data Science Workflows

  • Data Provenance & Governance

  • Best Practices & Uses Cases

  • Cross Industry & Cross Enterprise Challenges

ODSC EAST 2023 | May 9th-11th

Register Now & Save 40%

ODSC Newsletter

Stay current with the latest news and updates in open source data science. In addition, we’ll inform you about our many upcoming Virtual and in person events in Boston, NYC, Sao Paulo, San Francisco, and London. And keep a lookout for special discount codes, only available to our newsletter subscribers!


Open Data Science

 

 

 

Open Data Science
One Broadway
Cambridge, MA 02142
info@odsc.com

Menu
Conferences
Extras
Copyright ODSC 2022. All Rights Reserved
Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Youtube
Consent to display content from Youtube
Vimeo
Consent to display content from Vimeo
Google Maps
Consent to display content from Google
Save