Bengaluru | Aug 7 - 10, 2019

Management, Practice & DataOps

Managing the next wave of innovation

Understand the practice of data science in the real world

As data science extends its reach across the enterprise, the need for better management, workflow, production and deployment practices has increased.  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 use cases, best practices, and stories from the field on how to effectively incorporate data science practice into the wider business process.  This focus area will look beyond data sourcing and modeling and toward the many challenges teams need to overcome to effectively apply data science in their organization.

What You’ll Learn

Data science has many focus areas. The goal of this track is to help you quickly gain essential data science skills by offering a series of introductory level training sessions, talks, and workshops on the most important 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 & Use Cases

  • Cross Industry and Cross Enterprise Challenges

Here Are Samples of What You’ll Learn

  • Talk: Monitoring AI Applications with AI

  • Talk: How to Go From Data Science to Data Operations

  • Talk: AI Applications, Best Practices, and Lessons Learned in the Automotive Domain

  • Talk: Building an Application-Specific Intelligent Assistant

  • Talk: Conversational Interfaces in Customer Service

  • Workshop: AI in Personal Finance: More than Just Chatbots

  • And many more!

Who Should Attend

Data Science is cross-industry and cross-enterprise, impacting many different departments across job roles and functions. This track is for data scientists of all levels  interested in the practice and management of data science, including:

  • Data scientists moving beyond modeling and 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 the field of DevOps, databases, and project management looking to break into data science

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

Why Attend?

Immerse yourself in talks, tutorials, and workshops on Machine Learning and Deep Learning tools, topics, models and advanced trends

Expand your network and connect with like minded attendees to discover how Machine Learning and Deep Learning knowledge can transform not only your data models but also business and career

Meet and connect with the core contributors and top practitioners in the expanding and exciting fields of Machine Learning and Deep Learning

Learn how the rapid rise of intelligent machines is revolutionizing how we make sense of data in the real world and its growing impact on the domains of business, society, healthcare, finance, manufacturing, and more

Sign Up for ODSC India 2019 | Aug 7th - 10th

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