Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

Call for Speakers

Call closed 11:59pm 04/04/2017 EDT.

Do you have a great idea to share?

Strata Data Conference is where businesses worldwide rethink their fundamentals in the face of ubiquitous big data. We gather the world’s best data minds, and we want you to join us.

If you have a success story, cautionary tale, best practice, hard-won lesson, or compelling vision of the future, told in a practical, no-nonsense, pitch-free way, we’d love to hear it.

The topics below are guidelines and suggestions—but we love to be surprised. If you want to submit a great proposal, see our tips on how to submit a proposal. The deadline for submissions is 11:59 p.m. ET April 4.

Data science and advanced analytics

Inside the world of data practitioners, from the hard science of the latest algorithms and advances in machine learning to the thorny issues of cultural change and team-building.

  • Statistics, algorithms, and machine learning (including deep learning)
  • Active learning and other “humans-in-the-loop” machine learning systems
  • Data analysis workflow, exploration, collaboration, peer review, documented reproducibility and data provenance
  • Using techniques from design and social science to create better experiments and ask the right questions
  • Data structures and layouts (tables, graphs, networks, time series, unstructured text)
  • Fraud detection, adversarial analytics, game theory

Data engineering and architecture

Artificial Intelligence

How AI tools and technologies are influencing data science and business strategy

Data-driven business management

Charting the rise of adaptive, data-driven organizations that make better decisions, faster, in order to rewrite the rules of their industries.

  • Improving business decision-making
  • Monetizing data exhaust and analytics
  • Investing in the big data industry
  • Becoming a data-driven organization
  • Business metrics and analytics
  • Business case studies
  • New and unexpected stories from: banking and finance, advertising, fashion and tastemaking, insurance, risk and legal, leisure and travel, retail and merchandising, logistics and supply chains, weather and farming, marine science, journalism, defense and intelligence, government and digital democracy, energy and utilities.

Spark and beyond

A deep dive into an extremely popular big data framework: we’ll cover best practices, architectural considerations, and real-world case studies drawn from startups all the way to large enterprises.

Real-time applications

Sensors, IoT and the Industrial Internet

Data collected and generated by things—including the difficulties of storing, analyzing, and publishing such information; and the challenges of extracting understandable, meaningful insights from the resulting torrent.

  • Machine, sensor, crowd, and mobile data collection
  • Analysis and the Internet of Things
  • Open data standards and interoperability

Stream processing and analytics

Emerging technologies, particularly around entertainment and media

Hadoop platform and applications

Real-world case studies of the Hadoop ecosystem in action, from disruptive startups to industry giants. A deep dive into the dominant big data stack, with practical lessons, integration tricks, and glimpse of the road ahead.

Big data and the cloud

  • Big data platforms, architectures, using managed services or infrastructure components (Hadoop, Elasticsearch, Cassandra, Kafka, Spark, etc.)
  • Scaling, query performance, availability, compute cost, automation, encryption
  • Prepping, cleaning, organizing and augmenting data for analysis
  • Threat mitigation, security, and adaptive attackers
  • Building data applications on popular cloud platforms including (but not limited to) AWS, Azure, and Google Cloud
  • Cloud, on-premises, hybrid cloud deployment

Law, ethics, governance

Open data and heightened privacy concerns mean new, and often controversial, thinking on governance, ethics, and compliance, as well as a renegotiation of the pact we make with a life lived in public.

  • The impact of data technology on society
  • Privacy, confidentiality, and data protection
  • Open, public, and government data

Platform Security and Cybersecurity

Data needs tools like encryption for security and privacy; increasingly, data and algorithms can improve our collective security regime. But security teams are in a constant race with adversaries who try to game those algorithms. This track explores data governance and the role of data in better security.

Enterprise adoption

How is Big Data finding its way into big organizations? What are enterprises doing to embrace data science, machine learning, and the decision-making power of analytics? How are CIOs making deployment decisions in the face of new technology? In this track, we look at how enterprises are making the move from legacy data stores to big data, and the best practices—and roadblocks—to becoming a data-driven organization.

Visualization and user experience

Data doesn’t matter if it doesn’t produce outcomes. This track tackles augmentation, user experience, new interfaces, interactivity, and visualization.

  • Analytics and reporting
  • Augmented and virtual reality
  • Design, interactivity, and visualization
  • Designing for interruption and contextual interfaces
  • User experience and data-driven design

Required information

You’ll be asked to include the following information for your proposal:

  • Proposed title
  • Description of the presentation
  • Suggested main topic
  • Audience information:
    • Who the presentation is for?
    • What will they be able to take away?
    • What prerequisite knowledge do they need?
  • For tutorial proposals: hardware installation, materials, and/or downloads attendees will need in advance
  • Speaker(s): biography and hi-res headshot (minimum 1400 pixels wide; required)
  • A video of the speaker (required)
  • Reimbursement needs for travel or other conference-related expenses (if you are self-employed, for example)

Proposals will be considered for the following types of presentations:

  • 40-minute session
  • 3-hour tutorial

Tips for submitting a successful proposal

Help us understand why your presentation is the right one for Strata Data Conference. Please keep in mind that this event is by and for professionals. All presentations and supporting materials must be respectful, inclusive, and adhere to our Code of Conduct.

  • Pick the right topic for your talk to be sure it gets in front of the right program committee members.
  • Be authentic. Your peers need original ideas in real-world scenarios, relevant examples, and knowledge transfer.
  • Give your proposal a simple and straightforward title.
  • Include as much detail about the presentation as possible.
  • If you are proposing a panel, tell us who else would be on it.
  • Keep proposals free of marketing and sales.
  • If you are not the speaker, provide the contact information of the person you’re suggesting. We tend to ignore proposals submitted by PR agencies and require that we can reach the suggested participant directly. Improve the proposal’s chances of being accepted by working closely with the presenter(s) to write a jargon-free proposal that contains clear value for attendees.
  • Keep the audience in mind: they’re professional, and already pretty smart.
  • Limit the scope: in 40 minutes, you won’t be able to cover Everything about Framework X. Instead, pick a useful aspect, or a particular technique, or walk through a simple program.
  • Explain why people will want to attend and what they’ll take away from it
  • Don’t assume that your company’s name buys you credibility. If you’re talking about something important that you have specific knowledge of because of what your company does, spell that out in the description.
  • Does your presentation have the participation of a woman, person of color, or member of another group often underrepresented at tech conferences? Diversity is one of the factors we seriously consider when reviewing proposals as we seek to broaden our speaker roster.

Other resources to help write your proposals:

Important dates

  • Call for speakers closes: April 4
  • All proposers notified: By May 2017
  • Registration opens: May 2017

Code of Conduct

All participants, including speakers, must follow our Code of Conduct, the core of which is this: an O’Reilly conference should be a safe and productive environment for everyone. Read more »

Create a proposal