Seminars

Machine Learning & Deep Learning

Led by

Monday, June 24 | 9:00 am – 12:30 pm

Seminar: Machine Learning & Deep Learning for the Public Sector

Chairs:

Ronald Schmelzer, Managing Partner, Principal Analyst, Cognilytica


Kathleen Walch, Managing Partner, Principal Analyst, Cognilytica

 

Seminar Description: Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are transforming the way we work, live, and interact with each other. The emergence of these cognitive technologies are transforming the way public sector agencies and citizens interact with each other. But putting AI, ML, and DL into practice and getting beyond the buzzwords is a challenge. This seminar focuses on providing attendees with a current state of the ML and DL markets, and will discuss the state of the practice with real use cases and methodologies to make AI projects a tangible success for public and private sector organizations.

Attendees will learn:

  • How to dispel popular myths about intelligent automation and learning systems
  • About your AI options, who are the players, and what are the key technologies
  • From world-class machine learning experts who are developing innovative public sector applications today
  • Insights into what makes AI projects a success across a wide range of agencies
  • A roadmap for successful AI adoption within their agency or enterprise, and
  • About emerging cognitive automation and intelligent automation approaches

The Myths, Realities, and Future of AI

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

Ronald Schmelzer, Managing Partner, Principal Analyst, Cognilytica

 

While artificial intelligence has been around for decades, it’s only recently that machine learning, deep learning, and other cognitive technologies are at the point where they can be practically realized by organizations. This session sets the bar for what AI represents today and provides definitions and level-setting of terminology. We bust some myths about AI, point to real-world applications of AI in large scale implementations, and explore how AI will impact our future illustrating what an AI-enabled future will look like.

The key takeaway of this seminar is a self-assessment for an AI Project Fit. Attendees will learn:

  • How to dispel the myths around Artificial Intelligence
  • The 4-Part AI-enabled vision of the future
  • Cognitive technologies and their impact on government agencies
  • The new realities of our cognitive technology future
  • Matching AI vision to reality

A Roadmap for Successful AI Adoption

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

Ronald Schmelzer, Managing Partner, Principal Analyst, Cognilytica

 

Organizations of all types want to incorporate AI, machine learning, and cognitive technologies into their operations and processes to augment human workers, increase efficiencies, reduce costs, and achieve the goals of more intelligent systems. But, figuring out how to successfully run an AI project can be daunting. This session will help attendees learn how to successfully identify key problem areas that AI technologies can address, the six primary adoption patterns for AI and cognitive technologies with use cases for each pattern, as well as iterative approaches to AI implementation. At the end of the session, attendees will leave with an AI Implementation Roadmap to help successfully start and complete your adoption of AI projects.

The key takeaway of this session is to provide you with a self-assessment of your AI implementation roadmap. Attendees will learn:

  • The six primary adoption patterns for AI and cognitive technologies
  • Iterative approaches
  • How to deal with AI threats

Panel: State of the Practice of Intelligent Automation in Government

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

 

Bots aren’t just physical - they can be software as well. AI-powered software bots are doing everything from tedious entry of data to more sophisticated multi-step processes that have previously required significant human labor. In this panel discussion, we hear the insights of several leaders in the emerging intelligent automation and cognitive automation space and hear first-hand how AI and machine learning are being applied to complex processes. Learn about Robotic Process Automation (RPA) solutions, intelligent automation offerings, and emerging cognitive automation approaches, and how agencies and organizations of all types are using software bots to help automate various processes and tasks.

State of the Technology - AI Vendor Ecosystem

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

Ronald Schmelzer, Managing Partner, Principal Analyst, Cognilytica

 

The vendor landscape for AI and machine learning technologies is getting very crowded with thousands of companies offering solutions, and new vendors emerging monthly. However, these vendors are offering a confusing array of solutions that can be a challenge to understand for organizations looking to implement AI projects. In this session, we explore a rational classification system for AI vendors, how to evaluate AI vendors to meet the needs of various AI projects, and understand how the landscape is developing over time.This session will present:

  • A comprehensive classification of the AI vendor ecosystem
  • The various infrastructural considerations for AI projects
  • A proven process to help you choose the right vendor(s) for your project(s)

State of the Practice: AI Methodologies

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

Ronald Schmelzer, Managing Partner, Principal Analyst, Cognilytica

 

Organizations and agencies are looking to put AI into practice, but the main challenge is that AI projects are not like typical application development projects. In this session, we will discuss best practices and approaches to manage AI projects, the data-centric nature of AI solutions, and the specific requirements for particular AI implementation patterns. We will present a methodology that combines the best of Agile and CRISP-DM approaches, pitfalls to watch out for with AI adoption while addressing governance, transparency, and ethics concerns, and how to deal with emerging AI threats.
Attendees will learn an Agile/CRISP-DM methodology adapted for AI, including discussions on:

  • Data-centric vs. application-centric AI approaches
  • Learning from others: examples of AI projects at scale
  • How to provide governance & transparency around AI, and how to establish an AI ethics process
    - Healthcare needs (HIPAA, data protection/privacy and security)
  • What are the pitfalls in AI adoption?
    - There is what’s known as the “Golden data” on threats available to train against
    - Dealing with AI threats

Seminar Closing Remarks

Ronald Schmelzer, Managing Partner, Principal Analyst, Cognilytica

Conversational Interfaces - State of the Practice of Intelligent Assistants

Led by

Monday, June 24 | 1:30 – 5:00 pm

Seminar: AI & Cybersecurity

Chair: Bob Gourley, Co-Founder and CTO, OODA LLC


Seminar Description: Cybersecurity is a major area of interest in today’s internet, and while the threats are no longer as widely discussed as they used to be, they are arguably more dangerous than ever. How can machine learning help with malware research? The state of the practice and state of technology of AI in cybersecurity will be addressed.

Seminar Introduction: When AI goes Wrong

Bob Gourley, Co-Founder and CTO, OODA LLC

AI for National Security Missions

Jason Matheny, PhD, Founding Director of the Center for Security and Emerging Technology, Georgetown University


AI in Government IT

Speakers TBA

Panel: AI in DoD and Space

Moderator: Bob Gourley, Co-Founder and CTO, OODA LLC

Panelists:

Lewis Shepherd, Senior Director, National Technology Strategy, R&D, VMware Research


Justin Fier, Director of Cyber Intelligence and Analytics,Darktrace


Panel: AI, Automation, and the Challenges of Misinformation and Disinformation


Moderator: David Bray, PhD, Executive Director, People-Centered Internet Coalition; Senior Fellow, Institute for Human-Machine Cognition 

 

Panelists: Brett Horvath, President, Guardians.ai

 

 

Using Machine Learning to Detect Insider Threats

David Noever, PhD, Senior Technical Fellow, PeopleTec, Inc.

 

To detect a trusted individual who might do malicious things with authorized credentials has been classified as one of the toughest and most costly cybersecurity problems. Even accidental incidents generate average damages of millions per year for small organizations. This talk will demonstrate some machine learning approaches to solve classically challenging insider threats, including re-discovering Enron fraud instances from email only and finding leakers or saboteurs before they act. 

AI & Cybersecurity in the Public Sector Call to Action

Bob Gourley, Co-Founder and CTO, OODA LLC
David Bray, PhD, Executive Director, People-Centered Internet Coalition; Senior Fellow, Institute for Human-Machine Cognition 

Seminar Closing Remarks

Bob Gourley, Co-Founder and CTO, OODA LLC

AI and Cybersecurity

Led by

Monday, June 24 | 1:30 – 5:00 pm

Seminar: Conversational Interfaces - State of the Practice of Intelligent Assistants

William Meisel imageChair: William Meisel, PhD, President, TMA Associates

Seminar Description: Speech recognition and natural language processing technology allows interacting with digital systems using human language in text or speech. An organization can use the technology to improve customer service, not only in the call center, but through chatbots on web sites, apps on mobile phones, messaging services, home speakers, through the major personal assistants, and more. The technology can also make personnel more effective within organizations in tasks such as using software systems or on-the-job training. This seminar discusses innovative applications deployed by agencies and the tools available to help develop conversational solutions and practices that make those solutions effective.

The State of the Practice in Intelligent Assistants

William Meisel, PhD, President, TMA Associates

 

The AI technology behind talking and texting with computer applications using human language (“natural language understanding”) has matured. Amazon's Alexa and Google Assistant exemplify the advanced use of this technology, but companies are increasingly using more limited versions to help both customers and employees.

This session will present the state of the technology, how some companies are taking advantage of it, and tools that help deploy company-specific intelligent assistants without a research project. Topics covered include:

  • The state of speech recognition and natural language processing technology
  • Using intelligent assistants in marketing and sales
  • Examples of deployed digital assistants and their effectiveness
  • Available tools for building customer service chatbots and automated assistants
  • Available tools for building employee support applications ("Augmented Intelligence")
  • Other applications for today’s natural language processing
  • Trends in intelligent assistants

Applying Conversational Data to Public Sector Applications

Ian Beaver imageIan Beaver, PhD, Lead Research Engineer, Intelligent Self Service, Verint

 

In this talk, the benefits of conversational self-service for several government agencies over the last 13 years are highlighted, as well as the positive effect that anonymous communication with autonomous agents can have on users. By providing conversational self-service options, users can find answers to sensitive questions without fear of judgment and agencies can collect more holistic feedback on what users really want to know from them.

Talk Title to be Announced

Eduardo Olvera, Director of User Experience, Nuance Communications


Joseph Solt, Account Manager and Senior Project Manager, Nuance Communications


Seminar Closing Remarks

William Meisel, PhD, President, TMA Associates


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