Conferences / Data Day Texas
Data Day Texas 2020
Jan 25, 2020 · AT&T Hotel and Conference Center (University of Texas at Austin), Austin, TX, United States
- Conference
- Data Day Texas Vendor & industry
- Dates
- Jan 25, 2020
- Venue
- AT&T Hotel and Conference Center (University of Texas at Austin)
- Place
- Austin, TX, United States
- Format
- In person
- Status
- Past
- Attendance
- —Homepage (Jan 2020): 'Our most recent editions have drawn over 1000 attendees'; no 2020-specific figure.
- Website
- datadaytexas.com
- Recorded
- 30 sponsors · 68 speaker appearances
- Notes
- Speakers: all sessions on the year's sessions page (includes the Graph Day / track sessions held within Data Day); affiliations as shown on the sessions page, or from the speaker bio on the speakers page when the sessions page gives none. 10th edition; first Human-in-the-Loop ML track. Ticket prices not found (Eventbrite page not archived usefully).
Ticket prices
No ticket prices recorded
Sponsors 30
Platinum 2
- Cambridge Semantics · Platinum Sponsors
- DataStax · Platinum Sponsors
Gold 3
- Graphileon · Gold Sponsors
- Neo4j · Gold Sponsors
- ScyllaDB · Gold Sponsors
Silver 17
- Alegion · Silver Sponsors
- ArangoDB · Silver Sponsors
- Ascend.io · Silver Sponsors
- BOXX · Silver Sponsors
- DataRobot · Silver Sponsors
- Elastic · Silver Sponsors
- Expero · Silver Sponsors
- FactGem · Silver Sponsors
- Franz Inc · Silver Sponsors
- Imply · Silver Sponsors
- KNIME · Silver Sponsors
- Snowplow · Silver Sponsors
- Stardog · Silver Sponsors
- TigerGraph · Silver Sponsors
- Tom Sawyer Software · Silver Sponsors
- Vertica · Silver Sponsors
- Waterloo Data · Silver Sponsors
Startup 4
- data.world · Showcase Sponsors
- GraphAware · Showcase Sponsors
- Kineviz · Showcase Sponsors
- Redis · Showcase Sponsors
Community 2
- AppsFlyer · Friends and Partners
- Blacklight Solutions · Friends and Partners
Other 2
- Caffé Medici · Official Coffee House
- iMerit · Human in the Loop Sponsor
Speakers and talks 68
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Jesse Anderson | Big Data Institute | Keynote | Working Together as Data Teams | — |
| Joshua Shinavier | Uber | Keynote | TinkerPop 2020 | — |
| Juan Sequeda | data.world | Keynote | A Brief History of Knowledge Graph's Main Ideas | — |
| Marko Rodriguez | RRedux | Keynote | mm-ADT A Multi-Model Abstract Data Type | — |
| Abe Gong | Superconductive Health | Speaker | Defeating pipeline debt with Great Expectations | — |
| Abraham Starosta | Sculpt | Speaker | From Stanford to Startup: making academic human-in-the-loop technology work in the real world | — |
| Alon Gavra | AppsFlyer | Speaker | Managing your Kafka in an explosive growth environment | — |
| Amy Hodler | Neo4j | Speaker | Responsible AI Requires Context and Connections | — |
| Amy Hodler | Neo4j | Workshop | Graph Feature Engineering for More Accurate Machine Learning | — |
| Anna Lisa Gentile | IBM | Speaker | Information Extraction with Humans in the Loop | — |
| Arvind Prabhakar | StreamSets | Speaker | Deploying DataOps for analytics agility | — |
| Bivin Sadler | Southern Methodist University | Speaker | Deep Learning and the Analysis of Time Series Data | — |
| Brad Klingenberg | Stitch Fix | Speaker | Humans, machines and disagreement: Lessons from production at Stitch Fix | — |
| Brad Knox | Bosch | Speaker | Learning sequential tasks from human feedback | — |
| Brent Schneeman | Alegion | Speaker | Bigger data vs. better math: which is most effective in ML? | — |
| Brian Hall | Expero | Speaker | Scaling Your Cassandra Cluster For Fluctuating Workloads | — |
| Charles Adetiloye | SmartDeployAI | Speaker | Creating Cloud-Native Machine Learning Workflows on Kubernetes using ScyllaDB Backend as Persistent Storage | — |
| Chris Davis | Lymba | Speaker | Automated Encoding of Knowledge from Unstructured Natural Language Text into a Graph Database | — |
| Clark Richey | FactGem | Speaker | Data Journeys: From Document DB to RDF to Property Graph | — |
| Clay Lambert | Expero | Speaker | Stateful Streaming Application Integration - Leveraging Kafka Streams Processor API with KSQL DB | — |
| Corey Zumar | Databricks | Speaker | MLflow: An open platform to simplify the machine learning lifecycle | — |
| Dale Markowitz | Speaker | Shining a Light on Dark Documents | — | |
| Denise Koessler Gosnell | DataStax | Speaker | — | — |
| Devangana Khokhar | Thoughtworks | Speaker | Data Governance and FATTER AI | — |
| Emanuel Ott | iMerit | Speaker | How to trust your Human-In-The-Loop (HITL) data annotations | — |
| Ethan Hasson | Expero | Speaker | Building a Graph User-Interface for Malware-Analysis | — |
| Gaja Krishna Vaidyanatha | DBPerfMan LLC | Speaker | Serverless Data Integration | — |
| Gian Merlino | Imply | Speaker | Fresh and Fast with Apache Druid: Analytics for Real-time and Ad-hoc Applications | — |
| Heidi Waterhouse | LaunchDarkly | Speaker | The Death of Data : 2020 | — |
| Jans Aasman | Franz Inc | Speaker | Creating Explainable AI with Rules | — |
| Jeffrey Carpenter | DataStax | Speaker | Cassandra 4.0 In Action | — |
| Jennifer Prendki | Alectio | Speaker | Cost-Optimized Data Labeling Strategy | Slides |
| Jonathan Ellis | DataStax | Speaker | The Next Five Years in Databases | — |
| Jonathan Mugan | DeUmbra | Speaker | Moving Your Machine Learning Models to Production with TensorFlow Extended | — |
| Josh Perryman | — | Speaker | — | — |
| Justin Fine | Neo4j | Workshop | Graph Feature Engineering for More Accurate Machine Learning | — |
| Karthik Ramasamy | Streamlio | Speaker | Using interactive Querying of Streaming Data for Anomaly Detection | — |
| Karthik Ramasamy | Streamlio | Speaker | AI/ML Model Serving using Apache Pulsar Functions | — |
| Michael Uschold | Semantic Arts | Workshop | Ontology for Data Scientists | — |
| Mike Grove | Stardog | Speaker | How to use a Knowledge Graph to Improve the Search Experience | — |
| Paige Roberts | Vertica | Speaker | Architecting Production IoT Analytics | — |
| Rick Houlihan | Amazon Web Services | Speaker | Where’s my lookup table? Modeling relational data in a denormalized world | — |
| Rick Paiste | Expero | Speaker | Securing your Analytics Environment at Scale | — |
| Rob McDaniel | Sigma IQ | Speaker | Immutable Data Pipelines for Fun and Profit | — |
| Robert Munro | — | Speaker | Human Centered Machine Learning | — |
| Rosaria Silipo | KNIME | Speaker | Practicing data science: A collection of case studies | — |
| Ryan Wisnesky | Conexus | Speaker | Theory for the Working Database Programmer | — |
| Sam Jacob | Expero | Speaker | Securing your Analytics Environment at Scale | — |
| Sandip Bhaumik | Parabole.ai | Speaker | Case Study: AnzoGraphDB at Parabole.ai | — |
| Sanghamitra Deb | Chegg | Speaker | How to start your first computer vision project | — |
| Sanjay Joshi | Dell Technologies | Speaker | Time-Series analysis in healthcare: A practical approach | — |
| Sean Knapp | Ascend.io | Speaker | How Declarative Configurations and Automation Can Prevent A Data Mutiny | — |
| Semih Salihoglu | University of Waterloo | Speaker | Query Processor of GraphflowDB and Techniques for the Graph Databases of 2020s | — |
| Shawn Rutledge | Sigma IQ | Speaker | Machine Learning Counterclockwise | — |
| Shioulin Sam | Cloudera | Speaker | Learning with limited labeled data | — |
| Sijie Guo | StreamNative | Speaker | Building a streaming data warehouse using Flink and Pulsar | — |
| Sony Green | Kineviz | Speaker | Crime Analysis with Visual Graph Transformation | — |
| Sony Green | Kineviz | Speaker | Serverless Data Integration | — |
| Stefan Hausotte | G DATA | Speaker | Building a Graph User-Interface for Malware-Analysis | — |
| Stefan Plantikow | Neo4j | Speaker | GQL: Get Ready for a Standard Graph Query Language | — |
| Steve Sarsfield | Cambridge Semantics | Speaker | Case Study: AnzoGraphDB at Parabole.ai | — |
| Tanner Gilligan | Sculpt | Speaker | From Stanford to Startup: making academic human-in-the-loop technology work in the real world | — |
| Ted Wilmes | Expero | Speaker | JGTSDB: A JanusGraph/TimescaleDB Mashup | — |
| Thomas Cook | Cambridge Semantics | Workshop | Intro to RDF/SPARQL and RDF*/SPARQL* | — |
| Timo Mechler | SmartDeployAI | Speaker | Creating Cloud-Native Machine Learning Workflows on Kubernetes using ScyllaDB Backend as Persistent Storage | — |
| Tyler Glaittli | CHG Healthcare | Speaker | Managing Relationships in the Healthcare Industry with Graphileon: A CHG Healthcare Use Case | — |
| Victor Lee | TigerGraph | Speaker | Using Graphs to Improve Machine Learning and Produce Explainable AI | — |
| Ying Ding | University of Washington | Speaker | Knowledge Graph for drug discovery | — |