8:00 – Welcome
8:15 – Presentation Panel Session
10:15 – Networking Break
10:30 – Presentation Panel Session
12:30 – Lunch
1:00 – TCC Overview
1:15 – Presentation Panel Session
3:15 – Networking Break
4:00 – Jeff Dean, Google Senior Fellow
5:00 – Adjourn
Are you developing data analytics technologies or solutions?
Are you looking for data analytics-related solutions or collaboration partners?
The Technology Collaboration Center is holding a Data Analytics Workshop, hosted by Rice University, on October 3, 2017, covering a broad range of cross-industry data analytics topics.
The importance of data analytics is growing exponentially. Learning how to collect, retrieve, analyze, interpret, visualize and make sense of big data will improve efficiency and lead to deep insights, better decisions and associated actions.
This workshop may include presentations on research data analysis, advanced analytics techniques & visualizations, machine & deep learning, generating hypothesis, tools for data-driven decision making, implementations, data analytics management, and in-house & vendor training.
This event will bring together organizations from a variety of sectors to accelerate shared awareness of the rapidly changing state of the art in data analytics, with presentations on the latest advances and unmet challenges, in a format providing an opportunity for participants to network and explore potential partnerships.
At 4PM, the Ken Kennedy Institute for Information Technology has invited Jeff Dean, Google Senior Fellow, to make a presentation as part of the Institute’s Distinguished Lecture Series.
Any organization can request to make a presentation on their data analytics developments or needs at the event. A few presentation slots are available; please contact the TCC as soon as possible.
Register at tcc-houston.org or by sending an e-mail to email@example.com. All event participants are required to register prior to the event. Event tickets are $50 for TCC members (through September 28), and $100 for non-members.
Please contact the TCC for sponsorship opportunities.
Quantum Drilling Data – Challenges in coupling With Engineering Models
KBRWyle (TCC Member):
Data Analytics to Solve the Unique Challenges of Astronaut Medical Data
Data Analytics to Support Management of the Research to Spaceflight
Immersive Data Analysis for NASA Biomedical Data
IMPALA – An agile and advanced data analytics platform
Leader Drilling International:
Drilling Forensics & Parametric Modeling
NASA Johnson Space Center (TCC Member):
Data Management: First Step in Go for EVA
Rice University (TCC Member):
Data Analytics Education
Integrating Diverse Data
Understanding the International Space Station Crew Perspective through Data
Analytics and Visualization
Data Analytics in Asset Performance Management in the Oil & Gas Industry
Texas A&M (TCC Member):
Real-Time Predictive Analytics for Space Situational Awareness Description
University of Houston (TCC Member):
Ongoing Data Analytics Research Activities at UH