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Applying Data to the COVID-19 Pandemic

Data and analytics have played a central role in the first wave of the global response to COVID-19. From the earliest days of the pandemic, we’ve had up-to-date reports of case counts, fatalities and recoveries gathered by industrious volunteers everywhere. See how OmniSci and our partners at AWS, Safegraph, Veraset, and X-Mode are using anonymized, data-driven methods to contribute to relief efforts at a national scale for the next phase of the COVID-19 response efforts.
Recorded May 20 2020 38 mins
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Presented by
Todd Mostak, CEO & Co-Founder, OmniSci
Presentation preview: Applying Data to the COVID-19 Pandemic

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  • Demo with an OmniSci Expert: 5G Network Optimization Oct 15 2020 1:00 pm UTC 60 mins
    Dr. Mike Flaxman, Spatial Data Science Lead, OmniSci
    5G Is on its way to consumer markets in the coming years. 5G network infrastructure is expected to completely revolutionize network connectivity. With proper 5G network planning and optimization, telecommunications companies will be able to deliver better customer experiences, solve complex problems, and move their business forward. 5G and big data go hand-in-hand. Experts predict 5G data usage could increase by 10-14 times current figures. This astronomical influx of 5G data creates an incredible opportunity for telco companies to explore real-time 5G insights and leverage 5G data analytics for 5G network optimization that gives your customers fast and consistent network connectivity at all times.
  • Predicting Census Undercount Areas with Massive GPS Movement Pattern Data Oct 14 2020 10:00 pm UTC 30 mins
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    Undercounting within the US National Census has always been a significant issue for specific populations, such as those with complex family structures. With the rise of Covid-19 and a shortened counting period, this year’s census is probably the most challenging to date. How can data science and new datasets help?

    We found that modern machine learning techniques can provide the basis for much-improved census undercount prediction. We also found that the addition of GPS data and point of interest data increased model accuracy and provided further insight into behavioral factors beyond demographics which significantly affect undercount.
  • Connecting the Holoviz Visualization Ecosystem to OmniSci Oct 14 2020 9:15 pm UTC 30 mins
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  • Interactive Computing in Jupyter and Python with OmniSci Oct 14 2020 7:45 pm UTC 30 mins
    Kim Pevey, Software Engineer, Quansight & Tony Fast, Developer Advocate, Quansight
    This work discusses the open source technologies used to bring Omnisci to the greater scientific python ecosystem. These efforts allow Omnisci data to be analyzed in Jupyterlab, query data from omnisci databases, interoperate with pandas dataframes, and visualize information. We’ll walk through several computational notebooks that cover the capabilities of Omnisci interacting with different data analysis and visualization tools in Python. Throughout these exercises we’ll highlight the open source packages and technologies that amplify OmniSci’s abilities with tools like ibis, pandas, altair, and holoviews.
  • Dynademographics: Mapping Human Population Patterns at Scale Oct 14 2020 7:00 pm UTC 30 mins
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    Human mobility patterns have been studied for millennia and are of obvious interest to transportation infrastructure and retail planners among others. It is only in the last few years that consumer GPS and cell phones have allowed observations of large samples over wide areas and long periods of time. Yet the mechanisms used by these services vary widely and should be expect by default to contain demographic sampling biases. We have conflated these GPS-derived spatial event stream data sources with traditional census block group data in order to quantify and calibrate them. We have used these adjustments to produce the first known map of US populations at an hourly basis before and during the COVID-19 epidemic. In order to protect individual privacy, we have deployed an explicit aggregation system using variable-sized hexagonal bins. Nonetheless, our maps represent much higher resolution data than conventionally available, ranging from 50m in dense urban areas to 1km in non density rural areas. Because sampling along roads is much higher than elsewhere, we are able to provide traffic estimates at high spatial precision nationally. In addition to overall population density, we have used overnight device dwell times in residential areas to infer the hourly demographic characteristics of areas based on device trajectories.
  • User-Defined Algorithms on Big Data with OmniSci Oct 14 2020 6:15 pm UTC 30 mins
    Guilherme Leobas, Software Developer, Quansight
    OmniSci is designed for big data but for custom computations the data needs to be retrieved to a client machine. This puts a ceiling on data sizes based on both network speed and local hardware resources. What if we could send the algorithm to the data instead?

    This talk presents the Remote Backend Compiler (RBC), a package that affords OmniSci database capabilities to execute functions written in Python inside SQL queries. Our approach uses Numba, a high performance Python compiler, to generate fast low level machine code of user defined functions. We will learn more about how the RBC connects open source technologies, like NumPy and Numba, to the OmniSci database. Lastly, we conclude with a demonstration using an applied example of the Black-Scholes financial model. This will highlight how to leverage the newly added User-Defined Functions and User-Defined Table Functions capabilities with OmniSci.
  • Using Altair, Ibis, and Vega for interactive exploration of OmniSci Oct 14 2020 4:45 pm UTC 30 mins
    Saul Shanabrook, Software Developer, Quansight
    Altair is a lovely tool that lets you build up complex interactive charts in Python. Ibis is also a lovely tool that lets you use a Pandas-like API to compose SQL expressions in OmniSci and other backends. By tying them together you can use the familiar syntax of Pandas, combined with the expressive power of Vega and Vega Lite, to visualize large amounts of data stored in OmniSci. This talk will walk through a number of examples of using this pipeline and then go through how it works.
  • Data Science with OmniSci - Year One Oct 14 2020 4:00 pm UTC 30 mins
    Venkat Krishnamurthy, VP Product, OmniSci
    In this overview talk, we'll showcase how Data Science workflows are a key part of the OmniSci platform, since the launch last year. We will showcase new integrations of OmniSci within the open PyData ecosystem, new foundational capabilities within the open source OmniSci engine useful for data science, and discuss joint work with our collaborators at Intel and Quansight, as well as some exciting future plans
  • Operationalizing AI-driven Revenue Streams Using OmniSci and Logistics Data Oct 14 2020 3:00 pm UTC 45 mins
    Robert Luciani, Head of R&D, Foxrane
    In this session you will learn how to operationalize the insights gained through data exploration. We will walk the audience through a logistics use-case where modern AI techniques applied to the right data can accelerate optimization plans by many orders of magnitude and unlock new sources of revenue.
  • Next Level Information Dominance: Tracking Cascading Impacts for Government Oct 14 2020 1:00 pm UTC 60 mins
    Eliot Eshelman, VP HPC Initiatives, Microway & Michael McCracken, Federal Sales Engineer, OmniSci
    Today's agencies face a huge challenge: they have an avalanche of data from billions of sources but struggle to deliver information dominance at the speed of thought.

    During this webinar, the team from OmniSci and Microway will show how GPU-accelerated analytics solve today's data analytic challenges for government and enable agencies to:

    - Combine visual analytics and geo-visualization
    - Attack problems previously considered too large, too complex or too time consuming
    - Eliminate downsampling, pre-aggregation, and partial visibility
    - Convert millions and billions of records of data into better, more actionable information
    - Fuse data from multiple data providers
    - Reduce costs and the power necessary to complete the mission


    To show these capabilities for all government & agency customers, we will analyze flight traffic patterns during the COVID-19 pandemic as an example unclassified dataset.

    With the OmniSci GPU-accelerated analytics platform and Microway’s WhisperStation, we will trace insight from the trajectory of flight patterns during stay-at-home orders, reopening of airports and commercial airline flights, and commercial airline flight destinations and size of planes using data from multiple data providers fused under a single pane of glass. These same capabilities can translate to your mission and unique data.
  • Demos: Shipping Traffic, Population Movement, Tracing Infected Cohorts Oct 14 2020 12:00 pm UTC 45 mins
    Adam Edelman, Federal Solutions, OmniSci
    :During this session we’ll explore the spread of the COVID-19 global pandemic by analyzing and visualizing billions of rows of records with near-zero latency. Adam Edelman, Federal Solutions Engineer at OmniSci, will explain OmniSci’s GPU-accelerated analytics platform before providing a demonstration of its powerful capabilities.
    Learn how massive data sets of anonymized data can be leveraged for contact tracing, understanding population movement, and identifying trends around specific points of interest.
    Learn how to build cohorts to optimize analytic queries and rapidly spot new pandemic hotspots.
    Learn how OmniSci bookends data science workflows by integrating with popular data science tools.
  • Leveraging Big Data for Digital Transformation Using GPU-accelerated Analytics Oct 13 2020 5:00 pm UTC 60 mins
    Jon Stresing, Account Manager DoD, NVIDA & David Goodwin, Director DoD, OmniSci
    The presence of extraordinary amounts of data, to train on, to learn from, and to explore, represents a golden age of computing. But beneath this incredible opportunity lies a massive challenge. Traditional CPU compute cannot keep pace with the growth in data, and as a result, even the most sophisticated organizations are unable to unlock its value. There is a new approach to computing and analytics that solves this yawning gap, involving the application of GPU compute from NVIDIA and analytical software from OmniSci Join OmniSci and NVIDIA to learn about GPUs, GPUs AI/ML, and how you can use NVIDIA and OmniSci for big data analytics and data science initiatives.
  • Opportunities at the Edge with HP Z Data Science Workstation Oct 13 2020 3:00 pm UTC 60 mins
    Cecile Texenas du Montcel, Advanced Compute & Solutions Business Development Manager, HP
    n a world of emerging technologies such as 5G and IOT, the data volume is exploding; 80% generated at the edge in conjunction with phenomenal GPU processing power enhancement. Shifting intelligence to the point data is created opens a new world of possibilities: saving cost, enabling real time access & increasing security. HP Z workstations are the perfect way to access data sets and run models locally in combination with OmniSci solutions.
  • Demo with OmniSci Expert: AI Business Assurance for 5G Oct 13 2020 1:00 pm UTC 15 mins
    Eric Kontargyris, Principal Solutions Consultant, OmniSci
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  • Demo with an OmniSci Expert - Cybersecurity Recorded: Sep 24 2020 25 mins
    Mitra Bhanu Rath, Solutions Engineering - APAC & MEA, OmniSci
    In this demo, we'll show you how to use OmniSci accelerated analytics, an ML ready platform to analyze and visualize billions of records of cybersecurity logs from one of our internal firewall.
  • The Next Database Platform: OmniSci Accelerated Analytics Recorded: Sep 1 2020 16 mins
    Todd Mostak, CEO & Co-Founder, OmniSci
    Todd Mostak, CEO & Co-Founder of OmniSci, joined The Next Database Platform event 8/27/2020.
  • What to Where? Geospatial Analytics Changing the Way You View Your Data Recorded: Aug 24 2020 29 mins
    Eric Kontargyris, Principal Solutions Consultant, OmniSci
    Data Innovation Summit 2020
  • OmniSci & NVIDIA RAPIDS Flights Demo Recorded: Aug 2 2020 3 mins
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    View historical flight data such as delays and other activity from almost 3 decades, and see which airlines got you there on time. Only OmniSci makes this demanding level of flight data processing possible.
  • Performant, Cost-Effective 5G Planning at Scale Recorded: Jul 28 2020 28 mins
    Mike Flaxman, Spatial Data Science Practice Lead, OmniSci
    The 5G telco networks of the future are a significant capital investment, requiring 10x as many towers. Knowing where to efficiently and cost-effectively place these femto, pico, and micro cell towers is critical to telco carriers. Too few towers means poor cell reception and costly customer churn. Too many towers cuts into your bottom line.

    In this webinar, experience GPU-accelerated analytics through a real-life 5G network planning demo.
    Learn how OmniSci can be used to combine RF mapping and demographic data sets at scale using service quality and NPV measures to optimize both cost-effectiveness and performance.
  • Bringing Accelerated Analytics at Scale to Intel Architecture Recorded: Jul 28 2020 48 mins
    Venkat Krishnamurthy, VP of Product Management, OmniSci
    This webinar will discuss OmniSci’s vision of pioneering modern hardware and software to allow for data insights at the speed of curiosity. One catalyst for this effort is through the open data science stack of today that is clearly a de-facto platform for experimentation. Through our shared vision and partnership with Intel, we are working to advance and unify the worlds of Data Science with traditional analytics on modern hardware. We will discuss the relationship between data science applications and data discovery along with the collaboration between OmniSci and Intel to advance innovation within this ecosystem.
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  • Title: Applying Data to the COVID-19 Pandemic
  • Live at: May 20 2020 10:00 pm
  • Presented by: Todd Mostak, CEO & Co-Founder, OmniSci
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