OmniSci Financial Services Demo

This session was presented on March 31, 2021 at ODSC East

Microscopes are age-old technology which let us visualize and research phenomena too small to be perceived by the human eye. Macroscoopes, by contrast, are systems designed to reveal spatial and temporal patterns which are so big or slow that they escape normal human perception. We can get some sense of these when we fly, or when we look at time-lapse imagery. But to really make progress requires both the ability to collect planetary-scale information over time, and to harness modern compute technologies to support interactive visualization and interrogation of such data.

The convergence of three technologies is finally allowing the construction of macroscopes, and making them practical for daily use in both scientific and business contexts. First, we have the advent of LIDAR, GPS cell phones and ‘cube’ sats. These supply raw observation data from nearly everywhere, capturing both human and natural activities. Then we have machine learning methods which can classify patterns of movement or pixels. As applied to geodata, we call this “geoML.” Last but not least we have modern computing architectures which move algorithms to data and stream highly-distilled information to client applications.

In this presentation, we explore three applications of the macroscope concept, applying it to the monitoring of individual tree health for hundreds of millions of trees, the exposure of static and moving assets to weather, and the analysis of ship movement patterns.

This session was presented on March 30, 2021 at ODSC East

We've all found fascinating big datasets that pique our curiosity and send our imaginations running wild with possibility. But more often than not we have no place to explore the entire corpus of these datasets without dropping some major coin. In this presentation we explore high volume AWS Open Geospatial Data within OmniSci Free, a full-Stack offering that includes OmniSci’s lightning fast database, rendering engine, and Immerse visual analytics platform that's free forever upon download. Users of OmniSci Free can seamlessly switch between scalable SQL, visual analytics, and data science workflows to better understand high volume, spatiotemporal datasets with speed and agility.

Watch this webinar to discover how Spire is combining space-based data with Amazon Web Services' world-class secure cloud infrastructure and OmniSci's massively accelerated analytics to create mission critical insights.

Let’s leave 2020 behind and celebrate the new year! Join the OmniSci team for a virtual happy hour at the Accelerated Analytics Alehouse, opening January 13, 2021.

Mix and mingle with the OmniSci community, learn how to make a Converge Cadillac Margarita, cheers to the new year, and hear about what’s new at OmniSci. Erik Schultz, Senior Technical Sales Engineer and expert bartender, will teach you to make a world class Converge Cadillac Margarita. While you enjoy your new favorite cocktail, or a beverage of your choice, he will highlight some new demos and OmniSci updates, answer any questions you have about the platform, and open up the virtual alehouse for networking and discussion.

Register today and you will be entered to win an OmniSci branded cocktail set!

Ingredients (optional):
- Ice cubes
- 1 lime
- Maldon sea salt or other flaky sea salt, for garnish
- 2 1/2 ounces good quality Anejo tequila or any other style of 100% agave tequila that you like
- 1/2 ounce Grand Marnier Cointreau or other orange liqueur
- 3/4 ounce freshly squeezed lime juice
- 1/2 ounce agave syrup or simple syrup

Hear Chris Havlin, Data Scientist at TELUS, discuss how TELUS uses OmniSci to overcome their biggest data challenges and become insight rich.

To learn more about OmniSci, visit http://www.omnisci.com.

OmniSci Indonesia Summit 2020

OmniSci Indonesia Summit 2020

OmniSci Indonesia Summit

OmniSci Indonesia Summit

OminiSci Indonesia Summit 2020

OmniSci Indonesia Summit 2020

OmniSci Indonesia Summit 2020

OmniSci Indonesia Summit 2020

Today’s geospatial professionals are increasingly called upon to deliver content in the form of interactive web apps. This can be challenging with traditional architectures, both because of the inflexibility of conventional template-based approaches, and due to major performance issues when delivering large geotemporal data across the web. OmniSci is a GPU database with built-in high performance geographic rendering (capable of handling literally billions of features). OmniSci’s Immerse web application allows end users to build or customize a wide range of dashboards themselves. This workshop will present some typical GEOINT applications delivered as interactive dashboards, and will drill down into the construction of one of them in detail. Attendees will learn all three levels of a modern web stack. We will start by reviewing the capabilities of OmniSci Immerse. Next, we will dig into the capabilities of OmniSQL, which uses postGIS-like syntax to expose powerful geoprocessing tools. Lastly, we will walk through Jupyter Notebook integration, and show how Python and the pymapd library can be used to construct powerful workflows.



Training Goals:

1. What is GPU analytics and why should I care? How can I get it?

2. How to create powerful geotemporal dashboards in Immerse

3. Using omniSQL to handle geotemporal data at scale

4. Leverage Jupyter notebook integration to optimize data pipelines supporting interactive use cases

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.

As one of the earliest adopters and collectors of big data, Telcos are now leading the world in addressing the challenges that come from having lots of data, but oftentimes too few insights. Some of those challenges include:

- Multiple Sources of Data
- Lengthy ETL Processes
- Limited Data Science Teams
- Growing Data Science Teams
- Multiple Service Offerings

In this talk, Charter Communications and OmniSci will show how they are addressing these challenges for the telecom industry. We’ll demonstrate using GPUs and OmniSci’s accelerated analytics platform for fast queries and joins of multiple sources of data, interactive visualizations of spatiotemporal data, and integration with the latest AI/ML tools for running complete data science pipelines without the need for a large team of data scientists.

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.

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.

Holoviz is a framework for visualization and application development that encourages annotating data to generate rich interactive visualizations and dashboards. Holoviz provides interfaces to multiple plotting backends in python including Bokeh and Matplotlib. This talk, will demonstrate brand new functionality showing how Omnisci, through the ibis framework, can now plot data using hvplot or holoviews. We’ll demonstrate these novel integrations with Omnisci in a series of computational notebooks that visualize different projections of Omnisci data, and deploy them as applications.