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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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  • Creating Network and Business Resiliency by Design, in the New Reality Recorded: Jul 7 2020 167 mins
    Amdocs, Verizon Ventures, Reliance Jio, Charter Communications
    Recording from the TM Forum Virtual Leadership Summit on 7/1/2020

    This summit will discuss how CSPs can leverage their largest datasets, and the predictive power of artificial intelligence (AI) and machine learning (ML), to design-in greater resilience to their network and business.

    Black swan events like the current pandemic reinforce the necessity of strong resiliency, and we’ll show examples of how CSPs are combining multiple sources of big data to dynamically assign resources, respond to changes, and handle major network planning and improvement projects like 5G.

    We will also show how improving the business resilience directly impacts other critical facets of the business, including customer churn, and business assurance.
  • Demo: AI Driven Business Assurance for 5G (TM Forum Catalyst Demo) Recorded: Jul 7 2020 10 mins
    Eric Kontargyris, Principal Solutions Consultant, OmniSci
    Recording from TM Forum Virtual Leadership Summit on 7/1/2021

    How to use AI to assure 5G services, including 5G slicing, perform as planned with API-based use cases including customer experience, churn-management and fraud-management.
  • Executive Panel Discussion: Talking with Data-Driven Business Leaders Recorded: Jul 7 2020 45 mins
    ared Ritter, Senior Director, Analytics and Automation, Charter Communications Sandeep Mishra, CEO, Sinarmas Cognitive and Bi
    From the TMForum Virtual Leadership Summit on 7/1/2020


    The unique benefits of 5G is expected to unlock $1.4tn of value in eight key industries by 2030. This is based on models generated from 200+ interviews and surveys with industry executives. What steps should operators take to deliver these benefits? What business and organisational transformations must occur to unlock this opportunity?

    1) As we’ve seen earlier, the big data revolution has helped operators design-in resiliency , but it has also made it necessary for business leaders to invest in technologies that can handle the scale and performance of their largest datasets. Only decision makers with the best and most informed understanding of their data can set the standard for their business’s success. What are still the biggest barriers to leveraging your data? Where are your current tools struggling to meet your expectations?
    2) “We simply can’t get hold of the data” Are data rules and regulations hampering CSPs usage of data? What is the opportunity to leverage the telecom data for your B2B business?
    3) We’ve seen a sharp rise in operators adding predictive analytics, using AI and ML, into their data strategy to reduce costs, make faster, better decisions, and create new products or services to meet customers’ changing needs. Where is your organization in the adoption of predictive analytics and what kinds of benefits have you seen from leveraging the technology?
  • The Big Picture: The State of Resiliency and the Role of Data Recorded: Jul 7 2020 22 mins
    Aaron Richard Earl Boasman-Patel, VP, AI, Customer Experience & Data, TMForum
    Introduction section to the TM Virtual Leadership Summit on 7/1/2020

    - Welcome & Introduction
    - What is the definition and measure of network and business resiliency?
    - What is the state of research in this area? How do black swan events reinforce the need?
    - What types of data do CSPs have that give them insight into that resilience?
    - Why have scale and performance become the critical bottleneck to improving resilience?
    - What role does predictive analytics play, and more specifically what is the business value that AI/ML brings?
    - Assessing the resilience of your networks: survey results
    - Open poll for attendees: what are your challenges? What are you missing to address them?
  • Cutting Through 16 Billion Records to Investigate COVID-19 Infection at Large M Recorded: Jun 23 2020 33 mins
    Michael McCracken, Federal Sales Engineer, OmniSci & Eliot Eshelman VP, Strategic Accounts and HPC Initiatives, Microway
    The Washington Post recently reported that three of the nation’s largest meat processors failed to provide protective gear to all workers, and some employees were told to continue working in crowded plants even while sick. This turned plants into infection hot spots with hundreds of COVID-19 cases .

    During this webinar, we demonstrate how OmniSci leverages the parallel processing power of GPUs on a Microway WhisperStation to cut through over 16 billion location records from 6 million mobile devices to investigate an outbreak of COVID-19. We will show how these surrounding communities experienced disproportionately higher COVID-19 infection rates compared to nearby counties and how the spike of infections at meat processing plants affected their neighboring communities which tend to be smaller, rural, and with a large percentage of the population employed at the plant. We will also show how these same skills and GPU accelerated tools can be applied to interactively analyze billions of rows of government data to enable agencies to be mission ready.
  • Predict and Change the Future of Your Network with Multiple Data Sources Recorded: Jun 10 2020 25 mins
    Fraser Pajak, President, Fraser Pajak Consulting and Eric Kontargyris, Director of Sales Engineering, OmniSci
    Telco markets worldwide are highly competitive. Consumers have more options than ever to satisfy their telecommunications needs. This means providers are competing harder, and paying closer attention to critical factors like cost of customer acquisition, average revenue per unit (ARPU), and customer churn. The smartest providers understand the tight relationship between these issues and their massive, and growing, stockpiles of data.

    Fortunately, there are new technologies that can handle billions of rows of data, joined across multiple datasets, with millisecond filtering and visualization times. With OmniSci, massive customer data is an asset instead of a barrier.

    In this webinar, you will learn:
    → How OmniSci can query billions of rows of data, create interactive dashboards, literally at the speed of your curiosity
    → With OmnSci you can bring multiple cohorts of data together in one easy to interpret geospatial display
    → How this analysis capability, along with AI and ML, can unlock insights previously hidden, and allow us to predict the future and drive mitigation before it affects your networks or your customers.
  • Applying Data to the COVID-19 Pandemic Recorded: May 20 2020 38 mins
    Todd Mostak, CEO & Co-Founder, OmniSci
    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.
  • How to do Large Scale Data Research on a Slurm HPC Cluster with OmniSci Recorded: May 20 2020 45 mins
    Devika Kakkar, Geospatial Data Scientist, Harvard University & Ben Lewis, Geospatial Technology Manager, Harvard University
    Harvard’s Center for Geographic Analysis was established in 2006 to support research and teaching across all disciplines in the University as they relate to geospatial technology and methods. They recently launched an initiative that has made the OmniSci platform available to all researchers at Harvard, utilizing the university’s slurm HPC cluster. In this talk, Devika and Ben will share why OmniSci is relevant to their work, the kinds of challenges facing researchers in general, and some of the projects that are specifically benefitting from OmniSci at Harvard. They will also explain how they got OmniSci running within their slurm cluster, and share the scripts they’ve developed to make it possible for researchers to get an OmniSci instance, for large-scale research, with a few simple clicks.
  • OmniSci in Action: Learn from a Telecom Leader Recorded: May 20 2020 37 mins
    Jared Ritter, Sr. Director Analytics & Automation, Charter Communications
    Charter Communications is using Data Science to enhance Systems/Network Operations. Charter will present their evolution to a “Data-First” operations model. Q&A will follow, as well as a live demo of some of Charter’s Dashboard/Tools.
  • Demo With OmniSci Expert - Public Sector: Opioid Crisis Recorded: May 20 2020 11 mins
    Vlaunir da Silva
    New data shows more than 100 billion opioid pills were distributed nationwide from 2006-2014. Experience the power of accelerated analytics to unlock and visualize socially-impactful insights about a national public health crisis.
  • What's New in OmniSci 5.2 Recorded: May 19 2020 10 mins
    Venkat Krishnamurthy, VP Product, OmniSci
    We heard your feedback, and the Immerse SQL Editor has been much improved for OmniSci Release 5.2. Today, you can do more in the SQL Editor by running selected queries, incorporating query snippets, and re-running previous SQL statements. Text highlighting, query logging, and sample queries make data analysis easier and faster. In this session we will take a closer look at SQL Editor in Immerse 5.2
  • Exploring Without Moving: Further Adventures w/ Ibis, Altair and OmniSci, part 2 Recorded: May 19 2020 30 mins
    Venkat Krishnamurthy, VP Product, OmniSci
    On from Saul Shanabrook's great session introducing the value of tools like Ibis, Altair, Vega and the ibis-vega-transform, we'll dive in a little deeper to see how we can use these tools to explore multiple large datasets with minimal forklifting. Looking at github data again, we'll pull in additional data from disparate sources into an integrated visualization inside JupyterLab to provide more context. We'll show how Ibis provides a seamless analytical API layer across sources, and with particularly fast sources like OmniSci, this opens up a whole world of exploratory analysis.
  • Aligning OmniSci with Interactive Computing Standards & Open Source Communities Recorded: May 19 2020 34 mins
    Tony Fast, Data Scientist, Quansight
    At Quansight, we’ve been working closely with OmniSci to create interfaces with interactive scientific Python computing technologies. Throughout this work we have built healthy and sustainable relationships with open source communities that complement the abilities of OmniSci. In this talk, we’ll explore these abilities to describe, query, and visualize data in OmniSci databases in Python, and interface with a wider scientific computing community. It will highlight Quansight’s efforts to bring to OmniSci data and visualizations to interactive scientific computing workflows in Jupyter. Further we’ll acknowledge the benefits of working with open source communities building open standards and technology.
  • Demo with OmniSci Expert: Forecasting Analysis for Mobile Data Access Points Recorded: May 19 2020 17 mins
    Erik Schultz, Sales Engineer, OmniSci
    During this demo we will show a dataset about Mobile Data Access Points in OmniSci, switch over to Jupyter where we will invoke a predictive model that will display how data usage is forecasted to change in the future.
  • How LLVM is Used to Compile SQL Queries in the OmniSci Database Recorded: Apr 30 2020 35 mins
    Alex Baden, Technical Lead, OmniSci
    In this session Alex Baden, technical lead for OmniSci's accelerated database, will give an overview of how we use LLVM to deliver powerful results. He will discuss an overview of the internals of the OmniSci architectural ecosystem and the benefit of tapping into modern CPU and GPU hardware to deliver on our vision.
  • Visualizing & Communicating the Water Pipe Replacement Program Progress in Flint Recorded: Apr 30 2020 38 mins
    Jared Webb, BlueConduit, and Dr. Stacy Woods, Natural Resources Defense Council
    In this session, we’ll discuss how a predictive algorithm helped the City of Flint focus their service line (water pipe) investigations in the areas at highest risk for having lead or galvanized steel service lines. We’ll discuss our work (in progress) to create a public map using best visual data and public health communication practices that, when completed, will allow Flint residents to visualize the predictive model outcomes and the pipe replacement progress in the city.
  • NYC Taxi Rides Demo Recorded: Apr 30 2020 14 mins
    Erik Schultz, OmniSci
    Explore every taxi ride in NYC over a 7-year period with this NYC taxi data visualization, constituting 1.2 billion trips, joined to the building footprint of every store within 30 meters of a pickup or dropoff. Commercial point-of-interest (POI) data courtesy of Factual.
  • Finding Purposefully Hidden Sites with GPUs and ML Recorded: Apr 29 2020 23 mins
    Mike Flaxman, Spatial Data Science Practice Lead, OmniSci and Adam Edelman, Sales Engineer, OmniSci
    Finding purposely-hidden nuclear sites is hard. But new tools and datasets allow analysts to interactively explore huge geotemporal datasets. OmniSci has recently partnered with the Center for Nonproliferation Studies (CNS) and Planet to demonstrate how daily satellite imagery, machine learning for feature extraction, and interactive analytics can help make the world safer. CNS continually assesses potential nuclear missile production sites. It has found that in North Korea these are often hidden at the ends of new mountain roads. How can we turn this insight into actionable data?

    OmniSci’s GPU database technology lets us combine several factors into a suitability model considering roads and their relationships to terrain. We leveraged an amazing new machine learning product from Planet - a monthly road change dataset at 5 meter resolution. We combined this with absolute elevation, percent slope and topographic position. Since there are less than 20 known sites, we elected to use a “human in the loop” process to empower analysts to assess the parameters of known sites semi-manually, and then to search for similar sites across the full country. This allowed us to discover hundreds of potential new sites, which CNS plans to further explore and then monitor.
  • Applying Data to the COVID-19 Pandemic with OmniSci Recorded: Apr 29 2020 38 mins
    Todd Mostak, Co-Founder and CEO, OmniSci and Ray Falcione, VP Public Sector, OmniSci
    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.
  • US Airline Flights Demo Recorded: Apr 29 2020 10 mins
    Michael McCraken, OmniSci
    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.
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  • Live at: May 20 2020 10:00 pm
  • Presented by: Todd Mostak, CEO & Co-Founder, OmniSci
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