Name: OIS 2020: Discussion with Prof Eko K Budiardjo, Chairman of IPKIN
Start: 2020-11-23T22:35:00Z
End: 2020-11-23T23:24:40.000Z
Location: BrightTALK
Rating: 0

HEAVY.AI provides advanced analytics that empower businesses and the government to visualize high-value opportunities and risks hidden in their big location and time data.

Using California as a case, we'll consider forest structure data from the California Forest Observatory, also generated using machine learning models. At 10 meters per pixel, this amounts to 400 million pixels per time slice (4) per variable (5). To concentrate on wildfire risk for households, we use the fire science concept of “defensible space” and buffer buildings to extract surrounding forest conditions. Then we apply supervised techniques such as Random Forests so that we can explore the factors correlated with particular outcomes.

To learn more about HEAVY.AI, visit http://www.heavy.ai.

Improving Utilities' Vegetation & Fire Incident Management w/ GPU Analytics

Serious wildfires, floods, and natural disasters will continue to threaten lives and property until we change how we manage our forests, wildland/urban interfaces, and utility networks. But exactly where, when, and how must we act? We demonstrate how HEAVY.AI uses GPU analytics to help major utilities improve their vegetation management, weather prediction, and fire incident management capabilities to mitigate the risks of natural disasters. We take a holistic approach, building systems that natively handle a variety of big geotemporal data types, including lidar, multispectral drone and satellite data, and multiple weather models.

To learn more about HEAVY.AI, visit http://www.heavy.ai.

Mitigating Risk of Natural Disaster with GPU accelerated Analytics

This talk shows how business and government users can create interactive geotemporal dashboards able to render and cross-filter billions of geographic features with no code on HEAVY.AI 6.0. We also highlight our extensibility, including rapid generation of light-code web apps using pretrained machine learning models for object detection and semantic segmentation. Lastly, we show how Python coders, such as data scientists, can further extend the platform to add new SQL functions running in parallel on GPU with a single line decorator.

To learn more about HEAVY.AI, visit http://www.heavy.ai.

What is the Future of GPU-Accelerated Analytics?

Learn how modern data science techniques and GPU-advanced analytics can be combined with census demographic and California Forest Observatory data to improve wildfire outcomes.

Mitigating the Risk of Wildfires with Advanced Analytics

In this webinar, we share the latest release highlights, deliver demonstrations of core features, and provide examples of how you can apply HEAVY.AI's newest capabilities to your critical workflows.

A New Era of Advanced Analytics for Decision-Making

This webinar will show you how we developed a dot density dashboard to visualize over a billion points counts across the United States and the previous four Censuses. We'll explore population movement by ethnicity, areas of redistricting conflict, and examples of historical redlining while highlighting the spatial data science practices that made the visualizations possible.

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

Mapping 30 Years of Census Data with Dot Density in OmniSci

With the release of Shang Chi and the Legend of the 10 Rings right around the corner, it's the perfect time to do a comparative analysis on the overall power levels of the characters in the film using OmniSci's Comic Superheroes Dashboard.   

This dashboard allows users to gain insight into superheroes and supervillains from almost every comic book franchise. Watch us analyze their backgrounds, appearances, power levels, and superpowers quicker than a Thanos snap!

All sequences and clips used in this video fall under Fair Use:
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Fair use is a user permitted by copyright statute that might otherwise be infringing. Non-profit, educational, or personal use tips the balance in favor of fair use.

All rights and credit go directly to its rightful owners. No copyright infringement intended.

Comic Book Heroes and Villains: A Comparative Analysis

This stream is a Let's Explore of our 100+ Years of NOAA Weather Data blog, featuring special guest, Kyle Pennell. You can check out the blog here: https://www.omnisci.com/blog/100-years-100-million-records

Let's Explore - 100+ Years of NOAA Weather Data

In response to the growing threat of wildfires, the current administration assembled Governors from Western states, Cabinet officials, and various partners on June 30th, 2021.

They discussed ways to protect communities across the country from wildfires and their devastating impacts by strengthening fire prevention, preparedness, mitigation, and response efforts, including a need to enhance our utilization of data and technology to protect communities.

This webinar will explore how OmniSci can play a critical role in understanding factors contributing to wildfires, associated risks, and impacts on communities across the Western United States, Canada, and beyond.

Specifically, we'll examine the probability of four and eight-foot flames across California and the cross-section of electrical transmission lines, street networks, building footprints, and data representing vulnerable populations living and working in those spaces.

Preventing the Next Paradise Disaster with Accelerated Analytics

Utilities have long spent considerable time, attention, and treasure on vegetation management, often yielding disappointing or catastrophic results.

California utilities, for example, have been responsible for several deadly and costly fire events, despite spending more than 1B dollars per year on utility vegetation management.

While this issue has received widespread public and utility industry consideration, very few approaches are available that are scientifically accurate, up-to-date, and scalable.

This webinar shows how OmniSci enables organizations to orient big geospatial data toward advanced vegetation management and efficient risk mitigation.

Specifically, we'll explore the cross-section of tree health & mortality, electrical transmission lines, weather, and the probability of four and eight-foot flames across California.

Interpreting Datasets for Wildfire Risks in the American West

Join OmniSci, and commercial space-based information providers Spire and Ursa Space, in a webinar highlighting innovation on making massive scale data actionable at speeds to deliver MDA and Joint All-Domain Command and Control (JADC2) capabilities.

Learn how space, civil, defense, and intelligence agencies can analyze billions of historical vessel tracking data, satellite imagery, and other analytic assets to drive global maritime domain awareness including use cases like anomaly detection using OmniSci’s Graphic Processing Unit (GPU)-based software technology.

Maritime Domain Awareness MDA Innovation: From Satellite to Desktop Analytics

In this Analytics Alehouse event, the OmniSci team walks through a live Time-to-Insights exercise, showcasing a comparison between OmniSci and Snowflake / Tableau.

The exercise starts with a basic premise: Given the same starting point, how quickly and easily can users build a dashboard in Snowflake/Tableau versus OmniSci, all while providing incredible scale, performance and beautiful visualizations without a lot of fuss and tweaking?

Lastly, we walk through the numbers and reveal how we were able to achieve 25x performance improvement at 1/10th the cost.

Accelerated Analytics Alehouse: Snowflake/Tableau vs. OmniSci

During this webinar, Antonio Cotroneo will provide an overview of OmniSci, discuss what’s possible with Free, and demonstrate how you can deploy Free, ingest your first datasets, and build compelling visualizations in Immerse. We will also open up the floor for attendees to present the projects they are building in OmniSci Free - be sure to download and explore OmniSci Free before April 8!

OmniSci Free is a full-featured version of OmniSci servers and workstations (on-prem and in the cloud) available for download and indefinite use at no cost. The purpose of OmiSci Free is to make analytics instant, powerful, and effortless for everyone. Here is an overview of what OmniSci Free has to offer:

- OmniSci Free is licensed for commercial use, with the exception of paid hosting
- Free Forever upon download
- Up to 3 active user sessions

Now, this wouldn’t be a virtual happy hour without a mixology class to kick us off. Before we dive into the bells and whistles of OmniSci Free, we will teach attendees how to make an Accelerated Analytics Aperol Spritz - a favorite of our resident mixologist, Kathryn Adams.

Accelerated Analytics Alehouse: OmniSci Free

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.

The Macroscope Initiative - Building Planetary geoML with OmniSci (ODSC East 202

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.

Unlocking the Power of AWS Open Data with OmniSci Free (ODSC East)

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.

Global Maritime Domain Awareness - From Space to Cloud to Desktop Analytics

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

Accelerated Analytics Alehouse (1.2021)

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.

Costumer Story: TELUS + OmniSci with Chris Havlin

OIS 2020: Discussion with Prof Eko K Budiardjo, Chairman of IPKIN

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OIS 2020: Discussion with Prof Eko K Budiardjo, Chairman of IPKIN

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