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Past Conferences

Conference Details - Agenda

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2012 MIT Auto-ID Labs Big Data Conference

Big, Cloudy and Mobile Applications in omni-channel retail supply chain, smart transportation logistics and mobile retail commerce
October 9-10, 2012

7:45 am

Registration and Continental Breakfast

8:00 am

Opening Day 2 - Social by Design

8:05 am

Big Data Market Overview
Big Data has become a ubiquitous marketing phrase that has been so overused it connotes everything yet means nothing. In my presentation, I define the term Big Data, discuss its origins and provide examples on why I believe Big Data is going to be the dividing line between good and great companies over the next decade. Many people still think about data in very traditional ways, but the onset of the internet, the proliferation of mobile devices and cheap compute are going to fundamentally change the way consumers and corporations do everything. Technology has transitioned from the Enterprise to the Consumer and the next decade will be shaped by the rise of Big Data.
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8:30 am

Network Analytics
This session will examine the current role of Big Data specifications in making big data infrastructure services accessible to retailers, their suppliers and their clients.
Network Analytics deals with graph based algorithms to analyze Big data, in terms of interconnections. As it is difficult to analyze all nodes and all interconnections, clustering becomes an important tool. If we can form clusters through efficient (time and quality of clusters) algorithms, we can use them effectively in practical situations. In this talk we discuss label propagation, and game theory based algorithms to detect clusterings under varying conditions. Having formed the clusters we ask the question are there any attributes that are significant in these clusters generated? We validate our algorithms with retail transaction and Facebook data. We discuss the implication in Big Data.
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9:15 am

Understanding Road Usage Patterns in Urban Areas
From geolocating retail transactions such as in eWallets to “contactless” payment to in-store checkout systems, where can academia, working with regulators, SDO’s and industry, open new avenues for innovation and information exchange?

We combine the most complete record of daily mobility of two US metropolitan areas based on large scale mobile phone records with detailed GIS data to find hitherto hidden patterns in urban road usage. We measure transient origin destination matrices that allow us to identify for each road segment the few driver sources that generate most of its congestion. Consequently we propose efficient strategies to achieve a significant reduction of the total travel time across the entire road network.
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10:00 am


10:30 am

MassTLC Big Data panel - The Big Data Ecosystem ?hot button issues? in building scalable secure API?s
Big data initiatives are cropping up across every industry and market sector. Where are the information layers and synergies to bring this information together so it can be put to meaningful use?

11:15 am

Town Hall style meeting - Big Data – “hot button topics” join Walgreens, Ahold and BJ's Enterprise Architects for their perspectives on Big Data requirements
Startups as well as industry players encouraged to propose specifications/API's for structuring Mobile Retail Commerce data and/or Big Data infrastructure to consume those services.

Systems ranging from physical access control and personnel ID management to retail systems to vehicle systems and smartphone applications are using a variety of Automated Information Data Collection technologies to capture information about the physical world. What stakeholders need to come together to create specifications such that these worlds can communicate? Emphasis on the retail apps in healthcare from Walgreens experience with big data requirements stemming from medication & care plan adherence (biometric devices).
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12:15 pm

Wrap up - Next steps
Announce Start-up Competition Award Winners
The winner of Startup Competition is InfoScout.
You can download their presentation slide at the link below.

1:00 pm