The Macroscope Initiative – Building Planetary geoML with OmniSci

Microscopes are age-old technology which let us visualize and research phenomena too small to be perceived by the human eye.  Macroscopes, 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.

Putting AI into Practice: Reduce Manual Effort by Incorporating AI into Claims Processing

Claims processing is a time-consuming process. The submitted claim documents have to be manually reviewed and verified for authenticity, while simultaneously digitizing the data and making outbound calls to request applicants for missing information. This makes the entire process inefficient, cumbersome and difficult to align with business priorities.

To stay relevant amidst the changing landscape and meet shifting customer expectations, it is important to:

  • Transform business processes to make them more effective and efficient
  • Provide engaging and value-added interactions
  • Proactively support customers and manage risks

Quantiphi’s Automated Claims Processing solution accelerates the decision making process by identifying supporting documents and extracting relevant entities, leveraging AI driven recommendations to make more informed decisions and initiating automated outbound calls for missing and invalid information.

Quantiphi is an award-winning applied AI and data science software and services company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

Applications of Robotic Process Automation

An information-sharing event focused on Applications of Robotic Process Automation

This panel will explore lesson’s learned, common misconceptions, the value proposition, challenges, and use cases related to the RPA (Robotic Process Automation) journey.

Opening Remarks: Mitch Winans, Senior Advisor, Enterprise Digitalization, IRS

Moderator: Kathleen Walch, Principal Analyst, Cognilytica


  • Carl Campbell, Senior Procurement Executive, Department of Labor
  • Raj Dolas, Senior Information Technology Executive, DOT
  • George Duchak, Director of Information Operations, J6, Chief Information and Innovation Officer, DLA
  • Bill Bunce, Intelligent Automation Sherpa, Automation Anywhere
  • Allen Zimmermann, Founder, OpenRPA
  • Lou Charlier, Deputy Chief Information Officer, Department of Labor
  • Tony Sanchez, Technical Director, Veritone

Accelerating Enterprise Data Engineering: Best Practices for Modern Data Pipelines

As data volumes and complexity grow, delivering quality datasets with security and governance compliance is essential to enterprise data and analytics success. Modern data engineering in the enterprise requires a focus on data integration, modeling, optimization, quality, governance, security and reusability.  The ability to prepare data for analysis and production use-cases across the data lifecycle is critical for transforming data into business value.

In this webinar, we will tap into an expert panel with lively discussion to unpack the best practices, methods, and technologies for streamlining modern data engineering in your business.

Join this webinar to learn:

  • The latest trends in data engineering and how to plan ahead for your business
  • How to adopt best practices across your business for delivering high fidelity data
  • How to keep your data pipelines secure and accurate with the right technology and processes

Panelists and Presenters include:

Cloudera Panelists

  • Raj Sripathi –  Raj Sripathi is a Director of Engineering at Cloudera. Raj has 16+ years of experience in the Software Industry. In the last 5 years, he has helped numerous enterprises scale their big data deployments and derive insights from their data quickly. Currently, he leads the Spark and Data Engineering teams.
  • Shaun Ahmadian – As Senior Product Manager, Shaun leads Cloudera’s data engineering and visualization products. Prior to Cloduera, Shaun was a lead solutions engineer for Arcadia Data, a big data business intelligence company enabling Fortune 500 enterprises with visual analytics and BI capabilities at scale.
  • Santiago Giraldo – Santiago leads product marketing for Cloudera’s production machine learning products. With over 10 years in the data science and analytics software industry, Santiago focuses on enabling businesses to solve complex challenges with novel data strategies and machine learning approaches.

Cognilytica panelist:

  • Ron Schmelzer, Principal Analyst at Cognilytica

Panel Moderator:

  • Kathleen Walch, Principal Analyst at Cognilytica

How AI is Changing Federal Procurement

It’s a long-held belief that the government is slower to adopt technology, and in some cases, this is correct, but not for AI. The Federal government is being thoughtful about the ways they are adopting AI and are keeping up with industry in their adoption of these various technologies. From RPA bots and cognitive automation, predictive analytics, natural language processing, or AI chatbots to help citizens with various needs, AI is continuing to gain adoption. This panel will showcase how various agencies are using AI to help automate and improve various processes and how procurement fits into the picture from helping to identity AI technologies, to market research, to finally picking a company for the AI project.

Moderator: Kathleen Walch, Managing Partner, Principal Analyst, Cognilytica 

  • Mitchel Winans, Senior Advisor, Enterprise Digitalization, Internal Revenue Service
  • Keith Nakasone, Deputy Assistant Commissioner, IT Acquisition, Information Technology Category, Federal Acquisition Service, General Services Administration (GSA)
  • Scott E. Simpson, Innovation Coach, Office of the Chief Procurement Officer, Procurement Innovation Lab, US Dept of Homeland Security ‘pending approval’ 

Evolving MLOps Landscape: Addressing the Topics that Keep You Up at Night

What is ML Ops all about? Why should you care about ML Ops? Cognilytica analysts Kathleen Walch and Ron Schmelzer  frame the subject as well as discuss the market for MLOps including findings from their most recent report on this subject. They will also discuss why it’s important for organizations and agencies to manage their models once in production and insights into how to go about doing this.

Josh Elliot, Head of Operations at Modzy will share how a solution like Modzy can help with issues around speed, scale, security, and the growing emergence of shadow AI. He will then provide a demo of how Modzy works to help give attendees a more hands on view of the technology.

In one hour, we’ll cover a lot of territory including introducing the area of MLOps, standard auditing, versioning and security, to the new area of shadow AI. Our experts will give you the straight story on governance and navigating AI ethics right now, including answers to the questions we field daily.

Predictive Analytics & Maintenance with AI: Solving the Navy’s Problems

The public sector, both civilian and defense agencies, have a lot to gain from AI, from predictive analytics to autonomous systems such as unmanned drones, and even logistics management. At the end of the day, being able to securely share data at mission-critical speeds is one of the most important goals.
How can defense agencies such as the Navy use AI enabled Predictive Analytics & Predictive Maintenance? In this webinar Cognilytica will frame the discussion around what the predictive analytics pattern of AI is and how the predictive analytics pattern of AI is currently being used by various agencies.

MarkLogic will then share ways that DOD, and in particular the Navy, can gain insights from AI and we’ll address the following:

  • How is the Navy currently trying to solve and address the problem today
  • Problems with the current solutio
  • Needs / Gaps in resources
  • How can this problem be solved better?
  • What are the components of the solution?
  • Who needs to be involved in this solution?
  • What is the ROI / return for the solution?

Subject matter experts from MarkLogic will bring both a Navy perspective as well as a customer perspective to shed insights into this topic.

Increasing Intelligent Automation Through Artificial Intelligence

Choosing the right vendor to help your organization navigate the journey of digital transformation is critical.  In this quest for the next evolution of digital transformation, intelligent automation plays a significant role. This webinar will review practical applications and considerations to use artificial intelligence (AI) in intelligent automation in the enterprise.

Join industry experts Jorge Sanchez, Director of Product Strategy at Appian and Cognilytica analysts Kathleen Walch and Ron Schmelzer for this interactive webinar as they discuss the levels of Intelligent Process Automation and various use cases of intelligent automation in a variety of industries.

Attendees will also explore:

  • How AI fits into the picture of Intelligent Automation – what are the things IT leadership needs to consider
  • Where to get the most impact and fastest returns
  • Practical applications, use cases and considerations to use AI in the enterprise

Intelligent Automation in the Government

Join DLT and Automation Anywhere, with special guest Cognilytica, as we discuss how Intelligent Automation is transforming our government and the important role that AI plays in the process.

During this online session, Automation Anywhere and Cognilytica will address some of the biggest questions about Intelligent Automation, such as:

  • How does AI fit into the picture of Intelligent Automation
  • What are the things IT leadership need to consider?
  • How are Intelligent Automation solutions adopted by the US Federal Government?
  • Where can I get the most impact and fastest return with lowest risk?

Accelerating Digital Transformation with AI Powered Content IQ

Find out how enterprises are combining AI-powered content intelligence solutions with automation technologies like robotic process automation (RPA) and business process automation (BPA) to power their content-centric processes. As AI continues to mature, more enterprises are turning to solutions that deliver intelligence for processing unstructured content such as documents, images, contracts, and handwritten text.

During the webinar, we will cover..

  1. How to apply AI technologies to power understanding and meaning around unstructured content connecting into processes
  2. Keys to unlocking business benefits by turning unstructured content into structured, actionable data for a variety of use cases
  3. Best practices in successfully adopting Content IQ technologies as part of a digital transformation initiative

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