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Thursday
, August 23
Auditorium
9:30am •
Agile Data Science: How Data Scientists and Product Managers Work Together
10:30am •
You Have the Data But Can You See the Story? Understanding Visual Intelligence & Data Visualization
11:15am •
Analytic Ops – The Path to Productionized Analytics at Scale
1:00pm •
Cognitive Workflow - How Data Visualization & User Experience Design Combine to Facilitate Effective Reasoning
2:00pm •
Clinical Natural Language Processing with Deep Learning
3:45pm •
The Art of Analytics
Exec Ed: 426, 428, 430
9:30am •
AI+Blockchain+Human: Things You Didn't Know Could Be Done
10:30am •
Build and Deploy Custom AI Models at Scale
11:15am •
Time Series Forecasting Using Recurrent Neural Network and Vector Autoregressive Model
1:00pm •
There is No Artificial Intelligence Without Information Architecture
2:00pm •
Unlocking Deep Insights From Unstructured Data Using Automated Data Labeling and NLP
3:00pm •
Using AI on Messy Text Data with Examples from the Medical Domain
3:45pm •
Breaking the Rules: End Stage Renal Disease Prediction
Room 306
9:30am •
To the Cloud! Large Scale Genomics Made Easy
10:30am •
Analyzing Massive Genomics Datasets using Apache Spark
11:15am •
Harnessing Behavioral Data to Measure Impact and Predict Outcomes
2:00pm •
Memory Centric Computing for Fast, Smart Data
3:00pm •
Privacy By Design
Room 324
9:30am •
High Stakes vs Low Stakes AI
10:30am •
How to Avoid Your Looming Machine Learning Crisis
11:15am •
New Applications of Corporate Data Science – Talent Analytics
1:00pm •
Deep Learning Methods to Extract Documentation of Care Preference Conversations for Seriously Ill Patients
2:00pm •
Hospital & Physician Rankings: Is Best Better?
3:00pm •
Surge Pricing under Spatial Spillovers: Evidence from Uber's Operations
3:45pm •
Pitching Data Science to Stakeholders
Room 404
9:30am •
Using Data Virtualization to Feed Your Analytical and ML Models
10:30am •
Artificial Intelligence at the Edge
11:15am •
Taking Advantage of Text for Medical, Financial and Other Modeling
1:00pm •
Boston Data Science Community: An Open Discussion
2:00pm •
The Benefits and Dangers of Automated Machine Learning
3:00pm •
Transforming Healthcare with Deep Learning
3:45pm •
"Where Were You on the Night of the 7th When the Fifth Data Point Was Classified Positive?” Comparing a Few Methods for Interrogating Your Classifier
Room 406
9:30am •
Graph Databases - The Tyranny of Choice
10:30am •
Deep Learning in E-commerce: Building a Deep Learning Capability & Leveraging to Drive Strong Results
11:15am •
Data Science to Save the Environment
1:00pm •
Feature Engineering in the Era of Deep Learning
2:00pm •
Leveraging Machine Learning to Identify Top Risk Factors of Acute Respiratory Failure
3:00pm •
Why Automated Feature Engineering Will Change Machine Learning
3:45pm •
Predicting the Future and Discovering Opportunities Using Big Data & AI
Room 408
9:30am •
5,000+ Martech Tools: What's a Marketer to Do?
10:30am •
Entity Resolution with Machine Learning
11:15am •
How Baseball has used Big Data and Technology to Create Winning Teams
1:00pm •
Hiring for a Successful First Data Science Project
2:00pm •
To Bid or Not To Bid: Machine Learning in Ad Tech
Room 419
9:30am •
Startup Showcase
TBA
8:00am •
Registration, Networking and Coffee
9:00am •
MinneBOS Kickoff
10:15am •
Break
11:00am •
Break
12:00pm •
Lunch
1:45pm •
Break
2:45pm •
Break
3:30pm •
Break
4:15pm •
Networking Social
Timezone
MinneBOS
America/New York
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Boston University Questrom School of Business, 595 Commonwealth Avenue Boston,
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Auditorium
Exec Ed: 426, 428, 430
Room 306
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Dates
Thursday
, August 23
Venue
Auditorium
Exec Ed: 426, 428, 430
Room 306
Room 324
Room 404
Room 406
Room 408
Room 419
TBA
Session Type
0 - Panel / Showcase
1 - Business
2 - Mostly Business
3 - Mix of Business & Technical
4 - Mostly Technical
5 - Technical
Other Filters
Popular