Big Data Ignite 2021 Webinar Series

Leading Out of Uncertainty

OCT 5 – Nov 4

Tuesdays and Thursdays 12-1 EDT

Tuesday 10/19 - Building a Data-Science Capability: Aspirations, Obstacles and Lessons-Learnt
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To receive a link to watch the recording of this talk now, register at https://bigdataignite.org/register/
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Moderator:
Omar Malik (Big Data Ignite & Kettering University) — center

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Participants:
Chad Botbyl (Senior BI Analyst, Service Express) — bottom-right
Jim Carson (Data Science Manager, Service Express) — bottom-left
Rebecca Cistaro (Director of BI and Informatics, Mary Free Bed) — top-right
Andy Kampfschulte  (Senior Biostatistician, Spectrum Health) — top-left

 

Abstract:
Building a data science / analytics capability has emerged as a threshold for achieving competitiveness in today’s world. Many middle and smaller sized organizations are struggling to find the right strategy and resources to create an effective data science capability. In this session, we draw on the collective experience of a number of organizations that have successfully built a data science capability in our geographical region. We hope to be able to learn from their experiences and develop a roadmap of how to successfully build this important organizational capability. This discussion will include data science managers from Mary Free Bed, Service Express and Spectrum Health.

Tuesday 10/21 - Multi-Cloud Event Driven Analytics with Multiple Clouds
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To receive a link to watch the recording of this talk now, register at https://bigdataignite.org/register/
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Presenters:

Patrick Druley, Solution Engineer, Confluent

Abstract:

We don’t always get to choose our cloud provider and sometimes we end up with more than one. Taking an event driven approach to Analytics and leveraging the flexibility of Confluent Cloud allows you to deliver low latency data regardless of where your data starts.

Sponsored by:

Confluent

Tuesday 10/26 - AI Technologies to Support Smart City Infrastructure
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To receive a link to watch the recording of this talk now, register at https://bigdataignite.org/register/
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Presenters:

Michael Farmer (Professor and Department Head of Computer Science, Kettering University)

LinkedIn Profile

Peter Stanchev (Professor of Computer Science, Kettering University)

LinkedIn Profile

Abstract:

There are many factors that contribute to the development of high-level concepts such as smart devices, smart cars, smart homes and even smart cities. In one hand it is inevitable that the advancements of handheld devices create the basis for realization of many smart technologies. This is due to the increase of computational power and minimization of electronics worldwide. On the other hand, the exponential increase of data according to different sources leads to a growing necessity for the development of adequate technologies that can clean, structure and analyze more and more data every day. This in turn leads to the creation of new smarter technologies, which have a profound impact on our everyday life.
In this talk we will focus on the advancements of smart technologies that form the smart city ecosystem.


The following topics using Smart Services will be discussed:
a) Image retrieval using high level semantic features based on extraction of low level color, shape and texture characteristics and their conversion into high level semantic features.
b) Machine learning, with regard to deep learning, helping to identify, classify, and quantify patterns in medical images.
c) Sensor fusion framework using human cognitive models combined with probabilistic models.

Wednesday 10/27 - TBA
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To receive a link to watch the recording of this talk now, register at https://bigdataignite.org/register/
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Check back soon for details!

Thursday 10/28 - Auto-Encoders and Deep Neural Networks for Structural Classification
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To receive a link to watch the recording of this talk now, register at https://bigdataignite.org/register/
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Speaker:

Saroja Kanchi (Professor of Computer Science, Kettering University)

Abstract:

Various learning tasks require dealing with graph data which contains rich relation between elements. Applications include chemistry and drug design, social networks, predicting protein interface, and classifying diseases demand etc. In this talk, a survey of current techniques of trends in structural classification will be presented. While there are powerful models available for learning with large graphs such as GNN, computation challenges must be overcome due to neighborhood explosion. GNN and its variations will be compared for performance and accuracy of the models. Future research topics will be presented.

Tuesday 11/2 - Improving the Scientific and Societal Impact of Academic Research through Reproducible Data Science and Data for Social Good
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To receive a link to watch the recording of this talk now, register at https://bigdataignite.org/register/
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Speaker:

Jing Liu

Check back soon for details!

Thursday 11/4 - TBA
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To receive a link to watch the recording of this talk now, register at https://bigdataignite.org/register/
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Check back soon for details!

Past: Tuesday 10/5 - The Home Depot EDW Journey to Google Cloud Platform
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To receive a link to watch the recording of this talk now, register at https://bigdataignite.org/register/
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Presenter:

Lisa Barber (Sr Manager, Data & Analytics, The Home Depot)

LinkedIn Profile

Abstract:

The migration of The Home Depot (THD) Enterprise Data Warehouse to Google Big Query was a large, complex and challenging endeavor.  This talk will cover the problem THD set out to solve, strategy & approach for solving it, as well as the practical lessons we learned along the way.

Sponsored by:

The Home Depot

Past: Thursday 10/7 - Twitter-Patter: How Social Media Drives Foot Traffic to Retail Stores
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To receive a link to watch the recording of this talk now, register at https://bigdataignite.org/register/
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Presenter:

Thomas J. Weinandy (Senior Data Scientist, BlueGranite)

LinkedIn Profile

Slides

Abstract:

Marketing teams are giving more attention to new media than ever before. This talk answers how changes in different measures of social media activity influence customers to visit nationally-known, brick and mortar retail stores. Using hierarchical linear regression, I find that social media impacts retail foot traffic uniquely for each brand and store. I will describe how higher social media popularity, sentiment, or disagreement increases retail visits and caution how the outcome changes when measuring social media per message, like, or follower.
Past: Tuesday 10/12 - Disproportional Impact of COVID-19 on Marginalized Communities
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To receive a link to watch the recording of this talk now, register at https://bigdataignite.org/register/
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Speaker:

David J Corliss (Director, Peace-Work)

LinkedIn Profile

White paper and slide deck

Abstract:

Disasters of all kinds often have a particularly severe impact on minorities and other marginalized communities, and COVID-19 has been no exception. This analysis examines the disproportionate impact of the COVID-19 pandemic among different groups. The New York Times COVID-19 database metrics provide the outcomes, using deaths per capita the pandemic. Counties with the highest percent population BIPOC, Indigenous and below the poverty line are compared to those with those with lowest levels. Log odds are calculated and compared with published levels for medical risk factors (e.g., chronic lung disease). The two factors most at risk, with a log odds of about 10, are persons of color and cardiac patients. A time series analysis of the changing impact by month is also given, including breakthrough infections of vaccinated people. The Implications of these results are discussed to advise potential mitigation strategies.

Past: Thursday 10/14 - Reflections on a Decade in Data Science
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To receive a link to watch the recording of this talk now, register at https://bigdataignite.org/register/
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Presenter: 

Michael Bloem (Applied Data Scientist, Amazon)

LinkedIn Profile

Abstract:

Within the last decade or two, data science emerged as a discipline. In this talk, I will share observations from four data science jobs: one in government research, one with a manufacturing enterprise, one with a consultancy, and one with a large tech company. I will reflect on transitioning between jobs and working in different geographic regions.

"I used the time to connect and learn from others who are down in the trenches, making these big data platforms work at a handful of large enterprises here in West Michigan. It was invaluable to talk to people that understand the various platform vendors out there and learn about the tool choices driving their IoT, data, and data lake infrastructure." Excerpt from "Trends out of 2017’s Big Data Ignite", by Mac Fowler - a digital strategist, product development specialist, and 2017 Big Data Ignite Participant

Mac Fowler

Director of Strategy , Collective Idea

Watch BDI 2020!

Our Mission

The mission of Big Data Ignite is to provide education and training in areas of computing technology and practice that hold the greatest potential for innovation and benefit, and to promote the interchange of information and ideas among current and aspiring experts, practitioners, and decision-makers.

What We Do

Big Data Ignite provides a platform for local and global thought leaders to share insights, experience, and knowledge, to discuss current issues and emerging trends, and to create social bonds and business relationships that fuel innovation.

How You Benefit

Big Data Ignite provides you access to a broad-based community of experts, practitioners, and decision-makers who are actively engaged in advancing the practice of data analytics, data management, IoT, AI, and cloud computing. Big Data Ignite provides you a forum to share your knowledge and ideas and to stay up-to-date on the state of the art, current issues, and emerging trends.

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Event Sponsor

The Home Depot is a registered trademark of Home Depot Product Authority, LLC. used under license

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