Call for Papers

M³ returns to London from September 30 to October 2, 2019. The event will help developers, team leaders and execs to get familiar with the concepts underlying machine learning, AI and advanced analytics, determine how their tech and business operation would benefit from the technology and techniques, and explore how to incorporate and implement them accordingly.

M³ invites interested parties to submit proposals for talks (45 or 75 minutes) and training sessions (seven hours).

The deadline for proposals is April 15, 2019.

Speakers and instructors will get free entrance to both conference days and in some circumstances we may provide expenses and accommodation. If you would like to be considered for these reimbursements, please contact us once you submitted your proposal.

Entrants should be aware of our Code of Conduct and keep it in mind while drafting their proposals.

Proposals can include, but are not limited to, one or more of the following topics:


  • Machine learning (neural networks, bayesian networks, CRFs, SVMs, genetic/evolutionary algorithms, decision trees,…)
  • Data mining
  • Data science
  • Computer vision, natural language processing, image and voice recognition
  • Predictive analytics
  • Parallel programming
  • Cognitive computing
  • Neural networks
  • Knowledge acquisition, representation, networks

Tools & Services

  • Machine learning libraries and frameworks (TensorFlow, Caffe, Cognitive Toolkit, MXNet etc…)
  • Tools for data collection and analysis
  • ML services (IBM Watson, Amazon Lex, Amazon Rekognition, Amazon SageMaker, Saffron, Azure Machine Learning, Google Cloud ML, HPE Haven,…)
  • Frameworks and computing platforms including CUDA, OpenCL,…

The emphasis will be hands-on introductions, conceptual decisions, live demos, or comparisons of different techniques. Presentations that are based solely on promoting a product will not be allowed.


  • Distributed machine learning
  • Integration with software stacks and software pipelines
  • Applying AI technologies to what’s already there
  • Designing AI products from scratch
  • UI/UX
  • Supporting infrastructure


  • Smart anything (home, city, metering, traffic control, autonomous driving, crime prediction, fraud detection, chatbots…)
  • Intelligent agents/systems
  • Ethics (decision making, data collection, etc.), privacy
  • Security, data safety etc.
  • Computational creativity
  • Affective computing
  • Managing rollouts
  • Building datasets

Please send a target-group-specific, precise and concise abstract (400-700 characters) of your proposed presentation. To help us assess your proposals, we would also like you to list some keywords (e.g. your main topic, the tools you use, etc.), and include one sentence describing what your audience should already know and what they can expect to learn during the talk respectively. The deadline for submissions is April 15, 2019. The conference schedule will be available online by the middle of May 2019.

If you’re short on speaking experience and need help with your proposal, we’re happy to assist you via email.

To ensure objectivity, the review process is anonymised, which means that the editorial board doesn’t know a proposer’s name or company during the first stage of discussing a proposal. Talks with the sole purpose of marketing your product aren’t eligible for the review process and you should contact our sponsorship team.