The field of data science tries to detect trends from disparate data patterns and make sense of these patterns. As data becomes big data, there is an increasing need to analyze and create patterns from the exponentially growing structured and unstructured data. The reason why more data is a good thing, is that it helps data scientists come up with accurate analyses, which lead to better decisions, and which in turn mean greater operational efficiencies, cost reductions and reduced risk.
This technical Track aims to help understand the methodologies, techniques and tools developed to solve real-life problems using data and how machine learning enables cognitive systems to learn, reason and engage with people in a more personalized way. We are looking for technical submissions in the broad field of Data Science and Machine Learning, including (but not limited to):
- Advanced Machine Learning
- Data Management and Scalability
- Business Intelligence
- Predictive Analytics
- Data Science & Statistics Interplay
- Natural Interfaces (NUI)
- Emergent Artificial Intelligence
- Data and Information Visualization
- Data Integration and Fusion
- Data Mining
- Intelligent Data Processing
- Big Data Applications
- Artificial Neural Networks
As you make your submissions for the technical Tracks, please ensure that you follow the guidelines listed below. Please note that submissions made in the desired format are highly encouraged.
Specify content level and target audience: Please rate your submission by the content level of the session and the expected audience:
- Beginner – This session is appropriate for a beginner in the topic being discussed. The session would mostly be an introduction to the technology and would not require any prior knowledge of the subject.
- Intermediate – This session is appropriate for intermediate users of this technology. The speaker will expect some prior knowledge by the attendees and introduce more recent advancements in the technology to the audience.
- Advanced – This session is appropriate for advanced users of the subject. The speaker will be picking a niche area and delving into significant detail on the topic. Strong background knowledge of the topic and usage in a professional setting might be required.
Pre-requisites: This section of the submission should list the requirements that the speaker expects of the audience. This includes:
- Prior knowledge and usage of certain technology
- Laptop, smartphone or other equipment to be brought to the session.
- Any software that needs to be pre-loaded to be used in the session.
Click here to get tips and review the complete guidelines for a great submission.