Data Day Texas welcomes submissions on Data / AI related topics such as:
Big Data, Data Governance, Data Engineering and Architecture, Data Integration, Data Lineage, Data Pipelines, Data Platforms, Data Preparation, Data Science, Deep Learning, Data Products, Data Warehousing, ETL, Kubernetes, Machine Learning & AI, Model Lifecycle Management, Natural Language Processing, Realtime Analytics, Streaming Data and IoT, TensorFlow, Text Processing.
We also welcome submissions utilizing open-source tools such as:
Azure ML, Cassandra, Druid, Flink, Hadoop, Julia, Jupyter Notebooks, Kafka, MLlib, Python, Rstats, Scala, Scikit-learn, Spark, Storm, Tensorflow, Theano / etc.
We welcome submissions in the following formats:
Talk (40 minutes)
Hands-on workshop (90 minutes)
Tutorial (90 minutes, no coding)
Half-Day Hands-on Training (3 hours)
Proposals should include:
1) Proposed Title
3) Intended audience
4) Level of difficulty
5) Technical skills and concepts required
6) Speaker Biography
7) links to previous talks/videos (required – videos preferred)
Note: We do not accept product or service pitches – or talks which appear to be so. Preference is given for original presentations not previously offered elsewhere. Once a talk has been approved, we do not accept speaker substitutions.