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Chris Webb is an L&D expert with more than 15 years of experience. An Iraq War veteran, Webb has designed training for higher education, customer service, IT, safety, compliance, and logistics.

Chris Webb

Chris Kocher is a dynamic solutions strategist who masterfully bridges the worlds of education and enterprise technology. As a Senior Solutions Architect at MadCap Xyleme, he leverages over two decades of experience as a professional educator and instructional coach to transform complex technical concepts into actionable, relatable solutions for organizations seeking to revolutionize their learning ecosystems. Drawing from his extensive background in education and technology, Chris excels at fostering consultative partnerships that transcend traditional vendor relationships. His approach combines deep technical expertise with an educator's insight, enabling him to guide enterprises through their content transformation journeys with clarity and purpose. As a regular presenter at industry events, including the Xyleme Customer Summit and related webinars, Chris contributes to the conversations around scalable, engaging, and personalized enterprise learning solutions. In his role at MadCap Xyleme, Chris collaborates with diverse organizations across multiple verticals, architecting solutions that address complex content challenges while ensuring alignment with each client's unique vision and objectives. His distinctive blend of educational acumen and technical proficiency makes him particularly adept at helping organizations reimagine their approach to enterprise learning and content strategy. 

Chris Kocher 

Dr. J. Chris Brown is an adjunct instructor in the Information Technology program at American Public University. He holds a bachelor of science in information technology with an emphasis in multimedia and visual communication from the University of Phoenix, a master of information systems from the University of Phoenix, and a doctor of education in organizational leadership with an emphasis in higher education leadership from Grand Canyon University. Dr. Brown has more than 17 years of web design experience and his research interests include adult learning, e-learning, and technology in the classroom.

J. Chris Brown

August 2018 - TD Magazine

Knowledge Sharing Keeps Boeing Flying High

December 2013 - TD Magazine

Developing Asia’s Next Generation of Global Leaders

What is Demo Day?

This free, half-day event offers you the opportunity to see live demos from five leading AI-augmented learning tech solutions. Each 30-minute demo allows you to see the solution in action, ask questions, and request additional information. Selecting new technologies for your organization is a tough decision and a big investment. Let ATD Demo Day help you learn about the benefits of a variety of options at once.

Who is it for?
Anyone who is currently searching for innovative solutions using AI, interested in transforming their L&amp;D workflow with generative AI, or scaling and automating enterprise training programs.

Demo Day Agenda: (All times below are Eastern Standard Time)

11:55 a.m.–12 p.m.— ATD Introduction &amp; Welcome
12–12:30 p.m.—Practical AI Solutions for Real Business Impact (Strategy.AI)
12:45–1:15 p.m.—Critical Reskilling: AI Workforce Transformation (Ascendient Learning)
1:30–2 p.m.—Be An AI Ninja – Must Try Tips! (Get Control)
2:15–2:45 p.m. —The Human Side of AI: Building Resilience Through Change (ELB Learning)
3–3:30 p.m.—AI &amp; Learning and Development: Beyond the Button (MadCap Software)


Session Descriptions:

12–12:30 p.m. ET – Strategy.AI Demo

Practical AI Solutions for Real Business Impact


Transform your L&amp;D function with AI! Discover how to identify skills gaps, personalize training, and measure impact to prove your value to business leaders. Don’t miss this opportunity to elevate your capabilities!


Join this session to:


	Discover how, in just 15 minutes, you can use AI to identify skill gaps and recommend personalized solutions for thousands of employees—scaling L&amp;D impact faster than ever before.
	Uncover how AI fosters cross-department collaboration, transforming siloed teams into knowledge-sharing powerhouses.
	Use AI to transform how learners engage with PowerPoint presentations—what used to be a boring reading exercise can now become a personalized, two-way experience!


Speaker: Andrew Leong-Fern, Founder and CEO, Strategy AI

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12:45–1:15 p.m. ET

Critical Reskilling: AI Workforce Transformation

AI is creating change across the workforce, with the World Economic Forum estimating that 59% of workers will need significant upskilling or reskilling by 2030; however, most organizations lack the training resources or strategies to adapt to these challenges. Ascendient Learning leverages over 60 years of IT training experience to deliver instructor-led training solutions customized to your business needs, ranging from company-wide awareness training to highly technical multi-week bootcamps.

Join this session to:


	Understand the impact that AI will have on the technical workforce.
	Identify key skills needed for AI-enabled job roles.
	Learn how to develop and implement an upskilling strategy that develops in-house talent to fill these growing requirements.


 

Speaker: Brian Carlson, Alliances and Strategic Accounts, Ascendient Learning

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1:30-2:00 p.m.

Be An AI Ninja – Must Try Tips!

Unleash your inner AI Ninja with our action-packed session for L&amp;D professionals! Join bestselling author Mike Song and the Get Control Training team as we countdown the top 10 AI tips for ChatGPT, Microsoft Copilot, and more. Discover hidden features, best practices, and essential tools embedded in MS Teams and Windows, including time-saving tricks like using Collections for prompt templates. Boost efficiency, streamline workflows, and maximize the potential of AI in your organization. Trusted by 20% of the Fortune 500, this session delivers high-impact insights designed to empower you and your team. Don’t miss this game-changing experience!


Join this session to:


	Build More Effective Prompts.
	Discover Hidden ChatGPT &amp; Copilot Features.
	Save 20 minutes a day.


Speaker: Mike Song, Get Control

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2:15-2:45 p.m.

The Human Side of AI: Building Resilience Through Change


ELB Learning can help you empower your team to thrive in an AI-driven world. This session will explore how we can help you raise your team’s AI literacy, craft custom AI solutions, and guide your organization through change with tailored adoption plans. You’ll learn how we can help you create AI roadmaps, deploy cutting-edge tools, and foster a culture of innovation. By understanding the human side of AI adoption, you can seamlessly integrate technology into your workflows and align it with your business goals for lasting success.


Join this session to:


	Discover practical ways to integrate AI tools into daily workflows and upskill teams.
	Learn how to design and deploy AI-enabled solutions to meet your unique business needs.
	Identify effective change management strategies for smooth AI adoption and sustained growth.


Speaker: Josh Penzell, VP of AI Innovations and Solutions, ELB Learning

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3:00-3:30 p.m.

AI &amp; Learning and Development: Beyond the Button

AI is more than a simple tool for generating text—it’s reshaping how organizations manage, control, and deliver their content. As learning and development teams navigate the challenges of content proliferation, consistency, and proprietary control, they must carve out a strategic role in the enterprise AI ecosystem. Join us as we explore a smarter approach to AI—one that goes beyond automation to empower organizations with vetted, reliable, and controlled content. Discover how MadCap’s intentional AI strategy is rethinking learning content's role in an accelerating AI environment.


Join this session to:


	Explore how AI is transforming how organizations manage, control, and deliver content.
	Discover why learning and development teams must take a strategic role in AI adoption to address content challenges.
	Learn why a smarter AI strategy goes beyond automation to ensure vetted, reliable, and controlled content.



Speaker: Chris Kocher, MadCap Software

ATD Demo Day: Augment L&D with AI 

 _“Some people worry that artificial intelligence will make us feel inferior, but then, anybody in his right mind should have an inferiority complex every time he looks at a flower.”—_Alan Kay Raymond Kurzweil, the director of engineering at Google and a renowned futurist predicted in The Singularity Is Near: When Humans Transcend Biology that by 2029 computers will be cleverer than humans. While such a mindboggling prediction can be a matter of debate, there is little doubt that in the future machines will be much more sophisticated than what they are today. Indeed, these smart machines will be able to learn on their own—without human intervention—using technology!   Erik Brynjolfsson and Andrew McAfee, co-authors of The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies say, “Technologies that used to seem like science fiction are becoming everyday reality.” Machines that can use such technologies to learn and autonomously adapt to the changes will cause serious disruption to well-established business models. Likewise, Gartner predicts that “by 2017, a significant and disruptive digital business will be launched that was conceived by a computer algorithm.” All of these predictions are based on one common observation: Machines can learn exceptionally fast, and it is possible to build machines that can learn without any active human supervision. In fact, several of the top 10 emerging technology trends of 2015, as predicted in a recent report by World Economic Forum (WEF), are technologies for learnable machines. Neuromorphic Technology With advances in machine learning and rapid processing of high volumes of data, the next generation of powerful computing will be built on chips that will process information by mirroring the brain's architecture. As explained in the WEF report, such computers will be energy efficient and will have much more computing power than a conventional CPU (central processing unit). Moreover, these computers will be able to “anticipate and learn”—instead of just responding in a pre-programmed fashion. IBM has already demonstrated this technology in a prototype form through their million-neuron TrueNorth chip in August 2014. Gartner has predicted that by 2017, 10 percent of computers will be learning rather than processing. The report also mentions, that, “The Defense Advanced Research Project Agency (DARPA) and Ecole Polytechnique Federal de Lausanne are funding the SyNAPSE and The Human Brain projects, respectively, fostering neuromorphic computing techniques intended for pattern recognition applications, including facial recognition, object recognition, drug discovery and medical diagnostics.” Emergent Artificial Intelligence We are already seeing significant advancements in artificial intelligence through self-driving cars and automated flying drones. Emergent artificial intelligence takes this step further with machines that can learn automatically by using large volumes of data. Carnegie Mellon University's NELL (the Never-Ending Language Learning) computer system "not only reads facts by crawling through hundreds of millions of web pages, but attempts to improve its reading and understanding competence in the process in order to perform better in the future." Machines with emergent artificial intelligence are not only capable of processing huge amount of information in a short time frame and arrive at an optimal solution, they also can avoid human errors and emotional biases. However, many experts are raising early warnings for potential pitfalls associated with such super-intelligent machines, which will not only replace the jobs of many human workers, but also may eventually “overcome and enslave humans.”    Programmable Material In case of 3D printing, computer readable designs are fed to a machine that can process the design and produce a finished object using additive manufacturing technology. Medical applications of 3D printing have reached such an advanced stage that even a living tissue or a cell can be printed in this process. Other fields of application of 3D printing include automotive, aerospace, electronics as well as housing and construction. Researchers at MIT have pioneered a technology in which the finished objects will be made from “smart materials” that can be pre-programmed. This new technology is called 4D printing, because it incorporates the additional dimension of “time.”   “While 3D printing is purposed around building static items, 4D printing employs dynamic materials that evolve or adapt to their external environment in real-time and in direct response to changing conditions. This ability to transform is embedded within the material itself. Objects created through 4D printing are assemble and alter their structure when the material of which they are composed comes in contact with different conditions, such as moisture or humidity. The ultimate goal is to create stimuli-responsive components, materials that modify their own form or self-assemble new patterns automatically and in predictive ways,” explains a September 2014 Georgetown Journal of International Affairs article. Advanced Robotics Next-generation robots will learn to collaborate with humans to become their co-workers. They will no longer be used only in factory assembly lines and separated from humans by safety cages. The WEF report talks about an example: “In Japan, robots are being trialed in nursing roles: they help patients out of bed and support stroke victims in regaining control of their limbs.” Boston Dynamics, a wholly owned subsidiary of Google, builds “advanced robots with remarkable behavior: mobility, agility, dexterity and speed.” These robots can walk, run, and climb in a variety of terrains and surfaces by learning to deal with environmental variations. An interesting Tech  Times article discusses how researchers at University of Maryland are looking at whether robots can learn a skill, like cooking, by watching YouTube videos.  Apart from the five technologies mentioned above, technologies that are going to impact our lives in a profound manner are Big Data, Analytics and Internet of Things (IoT). Among these, analytics will be a de-facto technology for a learning machines. Embedded Analytics According to Gartner’s “Top 10 Strategic Technology Trends for 2015,” analytics will be embedded in every app so that it will continue to learn and develop insights on a continuous basis. Such technology-based learning will lead to “advanced, pervasive, and invisible analytics,” through which the apps will be able to intelligently monitor events, gather data, and learn about the context to take better decisions. By continuously analyzing data and by developing insights, these apps will create deep understanding of the business domains. Chris Argyris, in his seminal HBR article on organizational learning, “Teaching Smart People How to Learn,” coined the terms single loop and double loop learning. Argyris explained single loop learning with an analogy of a thermostat that automatically turns on the moment the temperature of the room drops below 68 degrees. “A thermostat that could ask, ‘Why am I set at 68 degrees?’ and then explore whether or not some other temperature might more economically achieve the goal of heating the room would be engaging in double-loop learning.” The article raised the issue of how highly skilled professionals can be very good at single loop learning but miserably fail at double loop learning. With the advancement of technology, we can now have thermostats that are intelligent enough to use double loop learning. Nest Labs, a Google company, specializes in making sensor driven self-learning thermostats and smoke detectors.   Bottom line: Machines will no longer remain dependent on their masters for learning. More importantly, like humans, learning machines will be able to use technology to enhance their skills. B. F. Skinner once said, “The real problem is not whether machines think but whether men do.” The time has come to seriously ponder over the implications of this remark.

Learning Technologies for Machines

 While I coined the term “subscription learning” back in 2006, I was too optimistic about its use. The industry wasn’t really ready to create subscription learning because email was the only way to deliver subscription-learning nuggets—and email didn’t enable any tracking, feedback, or interaction.But technology is finally available that can make subscription learning a reality. There are now many subscription-learning authoring tools, with more appearing all the time.CameoCameo is a subscription-learning authoring tool created by Yukon Learning. It enables learning providers to schedule a series of subscription-learning nuggets and send them through email. It is very big on using scenario-based questions in the learning thread and providing a feedback mechanism that support learner decision making.Cameo has a way to track how well learners are doing—and whether they have engaged the learning thread. Chris Ayers of Yukon Learning, one of the inventors of Cameo, told me that their clients often get very high completion rates, over 95 percent, especially on threads that are required.Merrill Collier, of Medtronic CardioVascular, used Yukon's Cameo learning reinforcement emails as follow-up to Yukon's negotiation training—and also to help reps reinforce clinical data scenarios. According to Collier, learner feedback was very positive. Learners especially appreciated how scenarios allowed them to deal with realistic customer situations.MemriseMemrise is another subscription learning authoring tool gaining momentum. Its tool is available in the cloud and features both micro- and macro-spaced learning. With Memrise, a learner will engage with content like this:receive an emailrespond to a series of micro-spaced interactions (perhaps 10 to 20)wait for another email pointing to more learning (macro-spaced in that it may arrive three, seven, or 10 days later)re-engage with more micro spaced interactions.In other words, “lather, rinse, repeat!”DuoLingoDuoLingo is the new major player for subscription-learning connoisseurs, and won Apple's App of the Year Award for 2013.  Focused on teaching languages, DuoLingo uses both micro- and macro-spaced learning. It also uses some integrated gamification and socialization to make the interactions more engaging. Every e-learning shop should study DuoLingo for ideas on how to improve their e-learning designs.Flashcard programsIn addition to these fairly sophisticated systems, there are many flashcard-type programs that employ three of the most important subscription learning features:retrieval practicefeedbackspaced repetitions and interaction.These systems theoretically can provide good learning outcomes, but authors often use them to create poorly designed learning interactions. The flashcard design pushes many authors to create cue-response learning that doesn’t reflect real-world practical situations. Still, with good instructional design, these programs can be effective. Some of the names in this category include:BrainscapeSuperMemoOpenCards.See the Subscription Learning website for a whole host of subscription learning providers, and check out in-depth explorations of two popular subscription-learning tools: QMINDshare and SimWriter.Note: This blog post is excerpted from Will Thalheimer’s newsletter; subscribe to the mail list at www.work-learning.com or read his blog at www.willatworklearning.com.

New Tools Prime the Industry for Subscription Learning

Discover how MadCap Syndicate™ centralizes content delivery and analytics to eliminate silos and ensure consistency across all channels. Learn how to deliver structured, secure, AI-ready content from a single source of truth—complete with version histories, compliance tracking, and actionable insights. See how Syndicate’s APIs and integrations fit seamlessly into your ecosystem for personalized digital experiences at scale.

 

During this event, you will learn how to:

 


	Understand centralized content delivery: Learn how Syndicate eliminates silos by delivering structured, secure content from a single source of truth across all channels and devices.
	Gain insights with advanced analytics: Discover how actionable learner analytics, version histories, and compliance tracking improve content operations and regulatory audits.
	Integrate seamlessly into your ecosystem: Explore Syndicate’s APIs and integrations that enable personalized, AI-ready content experiences without disrupting existing workflows.


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